Here is the daily technology #threadcast for 10/24/24. The goal is to make this a technology "reddit".
Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.
Here is the daily technology #threadcast for 10/24/24. The goal is to make this a technology "reddit".
Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.
Tesla is in talk for a Robotaxi test program in Palo Alto, but the scale is underwhelming
Tesla's Robotaxi could be used in the Palo Alto Link rideshare program, which only has 3.1 users per hour of service.
#technology #tesla #robotaxi
Jeff Bezos' Blue Origin launches next New Shepard spacecraft from Texas without a crew
Blue Origin completed a launch and landing of an uncrewed flight test for its next New Shepard on Wednesday morning. The spacecraft is designed for humans and has an expanded flight capacity to better meet growing customer demand. The launch carried 12 payloads, mostly for research purposes. A link to the webcast recording of the launch is available in the article.
#technology #blueorigin #newshepard #space #jeffbezos
Former OpenAI Staffer Says the Company Is Breaking Copyright Law and Destroying the Internet
Suchir Balaji, a former researcher at OpenAI, recently wrote in his personal blog that he believes the company is not complying with US copyright law, adding to the growing number of voices that say the company's giant data scraping business is based on shaky legal ground. Balaji worked at OpenAI for four years before leaving this summer. He says that AI companies are destroying the commercial viability of the individuals, businesses, and internet services that created the digital data used to train AI systems. OpenAI claims it builds its AI models using publicly available data in a legal and fair way. The company is currently dealing with multiple lawsuits for its use of copyright material.
#technology #ai #openai #copyright
Report: Arm cancels Qualcomm’s architecture license, endangering its chip business
Arm has canceled Qualcomm's license for making Arm chips as part of an escalation of a fight that began in late 2022 when Arm sued Qualcomm over its acquisition of Nuvia in 2021. Qualcomm has 60 days before it will be forced to stop manufacturing and selling its Arm chips. It bought Nuvia to assist with developing high-performance Arm chips, but Arm claimed the acquisition caused Nuvia to breach its Arm licenses. Arm demanded that Qualcomm and Nuvia destroy any designs that Nuvia had created pre-acquisition, but the companies didn't comply. Qualcomm's shift to using Nuvia's designs means that Arm could make less money from the partnership than it used to.
#technology #arm #qualcomm #chip
You Should Probably Pay Attention to Tokenizers
Tokenization is the process of breaking down a piece of text into smaller pieces called tokens. These tokens are then assigned an integer value for identification within the tokenizer vocabulary, a set of all possible tokens used in the tokenizer training. There are different types of tokenizers. It's a good idea to be aware of which one is used by the large language model you are trying to use. This article discusses the different types of tokenizers and how they can influence processing.
#technology #tokenization #tokenizer #ai #llm
A new Blue Origin: CEO Dave Limp is bringing urgency and ‘decisiveness’ to Jeff Bezos’ space company
While Blue Origin has not yet entered the serious rocketry game, the company is closer than ever to the long-awaited debut of its New Glenn rocket. The New Glenn launch vehicle will be able to lift up to 45,000 kilograms to low Earth orbit, double that of SpaceX's Falcon 9 rocket. It is designed to be partly reusable. New Glenn's first launch attempt is slated for November. The company aims to land New Glenn on its very first launch.
#technology #blueorigin #davelimp
Former OpenAI CTO Mira Murati is reportedly fundraising for a new AI startup
Mira Murati, former OpenAI CTO, is reportedly raising over $100 million for a new AI startup focused on proprietary AI models.
#technology #ai #openai #startup
Future of Internet in the age of AI
In this article, Cloudflare CEO Matthew Prince discusses AI's impact on internet infrastructure, highlighting the need for AI-capable edge computing and local inference to reduce network latency. He emphasizes the importance of regionalization in AI services due to regulatory complexities and outlines Cloudflare's approach to building a connectivity-focused network. Cloudflare aims to make internet connectivity faster, more secure, and more efficient, aligning closely with AI advancements.
#technology #ai #internet #future #cloudfare
First, the role of AI in internet infrastructure design.
A lot of the attention right now in the AI space is around training, which makes sense to do in traditional hyperscale public clouds. You put a bunch of machines very close to each other, have them hyper-network together, and use that to do training. The cluster of machines are similar to what you need to predict the weather or model nuclear blasts. They're traditional, you know, high-performance computing clusters, which is effectively what the Amazons and Googles and Microsoft's the world built.
The next part, though, of AI is going to be around inference, which I think will be pushed out as close to users as possible, with more than fifty percent happening on end devices. Whether that's an iPhone or a driverless car, you don't want to have to worry about network latency.
Midjourney plans to let anyone on the web edit images with AI
Midjourney plans to release an upgraded web tool for editing uploaded images using its generative AI.
#technology #ai #midjourney #imageedition
You Only Need 32 Tokens to Represent a Video Even in VLMsPermalink
Salesforce's new method uses a novel encoder for video that requires substantially fewer tokens for proper representation. This has been tried a number of times in the past with minimal success, the key seems to be an explicit temporal encoder along with a spatial encoder.
#technology #ai #salesforce #vlm
Amazing what is taking place. In 18 months, it will take very few tokens to do anything.
Yea, the efficiency gain is incredible.
Yeah. Makes Moore's Law look stagnant.
People are not aware for what is going to hit them.
Why Consumer Crypto Completely Screwed Up
Crypto's fundamental misstep in 2021 was attempting to create artificial scarcity in digital goods, which directly opposed the Internet's trend toward democratization and abundance. Music NFTs attempted to monetize digital content when historical trends showed the value of experiences over assets. More successful approaches align with Internet principles by focusing on democratizing experiences and disintermediating middlemen.
#technology #crypto #nft
AI's dual role in innovation and identity: Enhancing creativity while challenging self-perception. As AI tools become integral to work, balancing their benefits with personal skills is key. Embrace AI as a complement to human expertise, not a replacement.
#ai #innovation #identity
Too bad it is going to replace human expertise....and I have a feeling quicker than most expect.
I hope to remain pro AI from that lens @taskmaster4450le - that is just a tool, albeit a powerful one but I have to agree at the pace it's going and what prominent folks are saying (actually those who have their hands building it) we will actually experience (bad or good) the replacement of human expertise during our lifetime and oh boy past our lifetime it will be insane lol.
Yep. Knowledge works is going to be crushed in the next few years.
It is going to be an incredible, albeit bumpy, road.
🔗SOURCE:
LinkedIn fined $335 million in EU for tracking ads privacy breaches
Bad news for LinkedIn in Europe where the Microsoft-owned social network has been reprimanded and fined €310 million for privacy violations
Bad news for LinkedIn in Europe where the Microsoft-owned social network has been reprimanded and fined €310 million for privacy violations related to its tracking ads business.
#newsonleo #linkedin #eu #privacy #technology
The administrative penalties, which are worth around $335 million at current exchange rates, have been issued by Ireland’s Data Protection Commission (DPC) under the European Union’s General Data Protection Regulation (GDPR). The regulator found a raft of breaches, including beaches to the lawfulness, fairness and transparency of its data processing in this area.
The GDPR requires that uses of people’s information have a proper legal basis. In this case, the justifications LinkedIn had relied upon to run its tracking ads business were found to be invalid. It also did not properly inform users about its uses of their information, per the DPC’s decision.
LinkedIn had sought to claim (variously) “consent”-, “legitimate interests”- and “contractual necessity”-based legal bases for processing people’s information — when obtained directly and/or from third parties — to track and profile its users for behavioral advertising. However, the DPC found none were valid. LinkedIn also failed to comply with the GDPR principles of transparency and fairness.
Article
Blood test diagnoses heart attacks in minutes, not hours
A new blood test diagnoses heart attacks in minutes rather than hours and could be adapted as a tool for first responders and people at home.
#healthcare #newsonleo #bloodtest #heart #technology
“Heart attacks require immediate medical intervention in order to improve patient outcomes, but while early diagnosis is critical, it can also be very challenging—and near impossible outside of a clinical setting,” says lead author Peng Zheng, an assistant research scientist at Johns Hopkins University.
“We were able to invent a new technology that can quickly and accurately establish if someone is having a heart attack.”
A paper on the proof-of-concept work, which can be modified to detect infectious diseases and cancer biomarkers, appears in Advanced Science.
Zheng and senior author Ishan Barman develop diagnostic tools through biophotonics, using laser light to detect biomarkers, which are bodily responses to conditions including disease. Here they used the technology to find the earliest signs in the blood that someone was having a heart attack.
Article
The Latest Windows 11 Update Is a Nightmare for Some Users. These Are Some of the Biggest Issues They’re Encountering
#windows #micosoft #technology #operatingsystem
I just checked my Update History on the laptop I use with Windows 11. I don't have that update on here yet. I still have the 23H2 from last December. I won't install the new one till they get it sorted out. I know that pretty soon the updates and support for Windows 10 will be stopped. I will have to update my spare laptop that has Windows 10 to Windows 11.
I am still on Wndows 10. I never switched. I am glad for that.
Roy isn't in a hurry to switch over either. Gotta love planned obsolesence. The only thing that is good for is the company supporting their software or whatever else they make.
Installing the latest software updates enhances the security of your devices and allows you to benefit from the newest features. However, some users of Windows 11 24H2 (also known as Windows 11 2024) are encountering significant issues with this update.
After its initial rollout in the Dev Channel, Microsoft made Windows 11 24H2 available to all users in early October. This feature update includes various enhancements, such as artificial intelligence capabilities for Copilot+ PCs and improvements in wireless connectivity.
Atticle
@coyotelation
I found your dog.
#ai #robotics #technology
LOL
The funny thing is that this dog model has a flamethrower.
There are already people walking the streets with this robot dog. Maybe one day they can create a pet for cats.
Convenient for dealing with those neighbors you do not like.
Oh! Without a doubt my friend. LOL
They should have brought over dessert when they came for dinner.
Selfish pricks.
Hahaha... Certainly.
Task, I hope the worst is over. Are you at your house?
Is everything okay there? I hope you didn't suffer too much material damage.
Everything is fine on my end. I am house sitting (actually cat sitting) at the moment. Have Animal Kingdom going on.
Nigeria Drops Charges Against Tigran Gambaryan, Jailed Binance Exec and Former IRS Agent
After eight months, one of the US’s most prominent crypto-crime investigators may finally be coming home.
For eight months, the criminal investigator who pioneered cryptocurrency tracing as a law enforcement technique has, in a bizarre twist of fate, been jailed in Nigeria facing charges of money laundering and tax evasion. Now he may finally be coming home.
#newsonleo #nigeria #binance #crypto
On Wednesday in Abuja, a court ruled that criminal charges against Gambaryan, a Binance executive who previously served as an IRS criminal investigator for a decade, will be dropped on medical grounds as pressure from the US government has grown to secure Gambaryan's release.
Gambaryan was detained in February and later jailed after being invited to the country by Nigerian officials to discuss a dispute between the Nigerian government and Binance over its history of money laundering and the exchange's alleged role in devaluing the Nigerian national currency. He's since been held in the country's Kuje prison, where, according to his family and his attorneys, he's suffered acutely from a herniated disc in his spine that requires immediate surgery.
Article
Tesla has been testing a robotaxi service in the Bay Area for most of the year
Elon Musk revealed during Tesla's earnings call on Wednesday that the company has been testing a robotaxi service in the Bay Area. Tesla employees have been able to summon an autonomously operated Tesla vehicle for trips using the company's prototype ride-hailing app for the past few months. The vehicles are operating using the latest version of Tesla's Full Self-Driving software, which Musk claims will be 1,000 times better than human driving by the second quarter of 2025. Musk says that he expects to roll out a paid ridehailing service in California and Texas starting next year, pending regulatory approval.
#technology #tesla #robotaxi
Tim Cook is likely visiting China to bolster support for Apple Intelligence, analysts say
The CEO met with China's Minister of Industry and Information Technology as well as the heads of some local companies, including China Mobile and Weibo.
In his second visit to China this year, Apple CEO Tim Cook has met with Beijing officials and local partners, as his company faces increased competition and looks to roll out Apple Intelligence in the country.
#timcook #china #appleointelligence #technology
Apple's CEO Tim Cook recently met with China's Minister of Industry and Information technology to discuss the company's development in China, network data security, and cloud services. This meeting marked a crucial step in Apple's efforts to strengthen its presence in the world's second-largest economy, where local players such as Huawei have been gaining ground.
During the conversation, Cook emphasized Apple's commitment to China, promising to increase investment in the market and grow alongside Chinese companies. This move is seen as a strategic attempt to bolster Apple's position in the competitive Chinese market, where local players have been gaining ground. The meeting was also significant given the timing, as local competitors are introducing updated operating systems that integrate AI and new flagship products.
Apple's AI play, Apple Intelligence, was a key topic of discussion during Cook's visit. Apple Intelligence aims to bring AI across its devices with features such as an improved voice assistant and tools that automatically organize emails and transcribe and summarize audio recordings. While the company has announced plans to roll out Apple Intelligence in the US this fall, it has been quiet on plans for the product offering in China. Cook reportedly said that Apple hopes to bring Apple Intelligence to Chinese consumers as soon as possible, but that there are strict regulatory processes it must get through.
The need for regulatory approval could explain some of the messaging focus of Cook's China trip, although the timeline for the introduction of Apple Intelligence in China remains uncertain. This could be a problem for the company, as the lack of Apple Intelligence on Chinese devices is expected to weaken the motivation for users to upgrade to the iPhone 16.
Apple's Vision Pro mixed reality headset, which was released in the Chinese market in June, was also discussed during Cook's visit. Weibo, a local social media giant, is one of the app developers that have launched applications for the headset.
The meeting comes at a critical time for Apple, as the company faces dwindling market share in China amid increased competition with local players and an increasing preference among Chinese consumers to pick domestically made goods. Apple's market share in the second quarter fell 5.7% year-over-year, according to Counterpoint.
Huawei, one of Apple's main competitors in China, has been gaining ground with its in-house chips and HarmonyOS ecosystem. The company's recent resurgence in the high-end market has intensified the competitive landscape, making it harder for Apple to maintain its leadership position.
Apple's Vision Pro could also face more competition in the market as Huawei is reportedly gearing up to launch its own competing headset as soon as next week. The launch of Huawei's competing headset could further erode Apple's market share in China, making it even more crucial for the company to launch Apple Intelligence in the country.
Overall, Cook's visit to China marks a significant step in Apple's efforts to strengthen its presence in the country and maintain its leadership position in the competitive Chinese market. The company's ability to successfully launch Apple Intelligence in China will be crucial in determining its future growth prospects in the country.
Article
Nvidia supplier SK Hynix posts record quarterly profit as AI boom drives demand
Revenue for the third quarter grew about 94% year-on-year.
South Korea's SK Hynix, one of the world's largest memory chipmakers, on Thursday posted record quarterly profit, boosted by strong demand for its high bandwidth memory (HBM) used in generative AI.
#nvidia #skhynic #technology #newsonleo #chipmaker
Here are SK Hynix's third-quarter results compared with LSEG SmartEstimate, which is weighted toward forecasts from analysts who are more consistently accurate:
Revenue: 17.57 trillion won ($12.7 billion) vs. 18.11 trillion won
Operating profit: 7.03 trillion won ($5.08 billion) vs. 6.8 trillion won
Operating profit in the July-September quarter hit its highest level, rebounding from a loss of 1.8 trillion won during the same period last year.
Article
IBM stock slips on disappointing consulting and infrastructure revenue
IBM's critical software category performed well due to Red Hat's gains, but the consulting and infrastructure segments pulled down overall results.
IBM shares moved 3% lower in extended trading on Wednesday after the hardware, software and consulting provider fell short of Wall Street's revenue expectations for the third quarter.
#ibm #technology #earnings #newsonleo
Here's how the company did in comparison with LSEG's consensus:
Earnings per share: $2.30 adjusted vs. $2.23 expected
Revenue: $14.97 billion vs. $15.07 billion expected
IBM's overall revenue increased 1.5% year over year, according to a statement. It had a net loss of $330 million, or 36 cents per share, compared with net income of $1.70 billion, or $1.84 per share, in the year-ago quarter. IBM swung to a loss after a one-time pension settlement charge tied to an agreement with Prudential.
Article
Stablecoins | The Monetary Upgrade
Stablecoins have emerged as a bridge between the traditional financial system and blockchain technology.
#technology #crypto #finance #blockchain #stablecoins
Apple releases new preview of its AI, including ChatGPT integration
Apple on Wednesday released a beta version of a slew of Apple Intelligence features, including its long-awaited ChatGPT integration.
Apple on Wednesday released a beta version of a slew of Apple Intelligence features, including its long-awaited ChatGPT integration.
#apple #chatgpt #technology #newsonleo
Apple has unveiled a beta version of its Apple Intelligence features, which includes the highly anticipated integration with OpenAI's ChatGPT. This integration marks a significant milestone in the development of artificial intelligence (AI) technology, allowing users to access the advanced language processing capabilities of ChatGPT through Siri, Apple's virtual assistant.
The latest beta version, included in iOS 18.2, offers a range of new abilities, including the ability to describe how users want Apple Intelligence to rewrite text, a new image generator, and integration with OpenAI's ChatGPT. The integration with ChatGPT is a game-changer for Siri, allowing users to access the advanced language processing capabilities of ChatGPT, which is capable of generating human-like responses to complex questions.
When Siri is asked a question that it identifies as being better suited for ChatGPT, it will ask the user for permission to ask the chatbot. This means that users will be able to use ChatGPT to generate text, make predictions, and answer complex questions. The integration will also allow users to use ChatGPT in text fields to generate text, making it a powerful tool for creative tasks.
The partnership between Apple and OpenAi also includes a feature called Visual Intelligence, which uses the phone's camera to identify text or objects and even translate signs in real-time. This technology has the potential to revolutionize the way we interact with our devices, making it easier to access information and communicate with others.
The integration with ChatGPT is a significant coup for OpenAI, which has been valued at $157 billion after a recent financing round. The partnership will give OpenAI's technology access to a vast user base, and is likely to drive further growth and innovation in the field of AI.
While the latest beta version of Apple Intelligence features does not include the ability for Siri to take actions inside of apps, this feature is expected to be included in a future update. Apple execs have also suggested that other AI models, such as those from Google, may also integrate with Apple Intelligence in the future.
The release of the beta version of Apple Intelligence features marks an exciting new chapter in the development of AI technology. The integration with ChatGPT is a significant step forward for Siri, and the Visual Intelligence feature has the potential to revolutionize the way we interact with our devices. As Apple continues to roll out its AI features, it will be interesting to see how they evolve and improve over time.
In the future, users can expect to see even more advanced AI capabilities integrated into Apple devices, including the ability for Siri to take actions inside of apps and the integration of other AI models. The partnership between Apple and OpenAI is a significant development in the field of AI, and has the potential to drive further innovation and growth in the industry.
Article
Tesla shares jump on profit beat, Musk's prediction of at least 20% 'vehicle growth' next year
Tesla reported better-than-expected profit in its third-quarter earnings report on Wednesday.
Tesla reported third-quarter earnings Wednesday that topped analysts' estimates even as revenue came in just shy of expectations. The stock popped 10.7% in premarket trading.
#tesla #earnings #technology #ai #newsonleo
Tesla shares jump on profit beat, Musk's prediction of at least 20% 'vehicle growth' next year
Tesla reported better-than-expected profit in its third-quarter earnings report on Wednesday.
Tesla reported third-quarter earnings Wednesday that topped analysts' estimates even as revenue came in just shy of expectations. The stock popped 10.7% in premarket trading.
#tesla #earnings #technology #ai #newsonleo
Tesla Reports Strong Q3 Earnings, Stock Soars 10.7%
Tesla, the pioneering electric vehicle (EV) manufacturer, released its third-quarter earnings report on Wednesday, exceeding analysts' expectations despite revenue falling slightly short of projections. The company's stock price skyrocketed 10.7% in premarket trading, a significant boost for investors.
Key Highlights
CEO Elon Musk's Comments
During the earnings call, CEO Elon Musk expressed optimism about the company's future, citing the success of its lower-cost vehicles and the advent of autonomy as key drivers of growth. He predicted that "vehicle growth" will reach 20% to 30% next year, exceeding analysts' expectations. Musk also discussed the company's plans for autonomous vehicles, stating that aLL of its cars moving forward will be autonomous. He noted that the company is currently producing 35,000 autonomous vehicles per week and aims to produce 2 million Cybercabs per year.
Cybertruck and FSD
The Cybertruck, Tesla's angular steel pickup, became the third-best-selling fully electric vehicle in the U.S. in the third quarter, behind only the Model 3 and Model Y. The company reported that the Cybertruck achieved a positive gross margin for the first time. Tesla's Full Self-Driving (FSD) system, which is a premium driver-assistance system sold to customers as an up-front option or for a monthly fee, contributed $326 million in revenue in the quarter.
Challenges Ahead
Despite the strong earnings report, Tesla faces significant challenges in the coming months. The company is facing increased competitive pressure from Chinese automakers such as BYD and Geely, as well as new entrants like Li Auto and NIO. In the U.S., legacy automakers Ford and General Motors are starting to sell more electric vehicles, which could erode Tesla's market share. Additionally, Tesla's stock price has been impacted by CEO Elon Musk's pro-Trump activism, which has raised concerns among investors about the potential impact on the company's stock price.
Conclusion
Tesla's strong Q3 earnings report has boosted investor confidence, with the company's stock price surging 10.7% in premarket trading. While the company faces significant challenges in the coming months, its strong financial performance and optimistic outlook for the future suggest that it remains a key player in the electric vehicle market. With its continued focus on innovation, expansion of its product lineup, and growth in its services business, Tesla is well-positioned to maintain its leadership position in the EV market.
Article
Nvidia signs a slew of AI deals in India push
Nvidia is embarking on a series of partnerships with Indian firms to deploy its AI chips and technology, deepening its push into a key growth market.
Nvidia is embarking on a series of partnerships with Indian firms to deploy its AI chips and technology, deepening its push into a key growth market.
#nvidia #ai #india #technology #chips #newsonleo
The U.S. chip designer’s CEO, Jensen Huang, said the company has partnered with Reliance, India’s most valuable company, to build infrastructure for AI applications in India. He also said Tech Mahindra would use Nvidia’s chips and software to develop Indus 2.0, an AI model in Hindi. Infrastructure providers Tata Communications and Yotta Data Services also plan to buy and use tens of thousands of Nvidia H100 chips by the end of the year.
Huang was presenting at the company’s ongoing AI Summit event in Mumbai, which comes at a time when Indian technology service providers are rushing to build AI capabilities. Infosys, Wipro and other IT companies have been using Nvidia’s software to develop custom AI applications for corporate clients.
“India used to be a country that exported software. In the future, India will be a country that exports AI,” said Huang.
Wipro said it has trained 225,000 employees on Nvidia’s AI platforms, while Tata Consultancy Services said it has trained 50,000 staff as AI associates. More than 500,000 developers in India have joined Nvidia’s developer program, the company said.
Indian e-commerce firm Flipkart and software provider Zoho will also use Nvidia’s technology to build large language models in Hindi.
Article
Teen Invents Headphones that Use AI to Treat & Detect Ear Infections
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Here’s how California native Leanne Fan combines medical treatment and music in these ingenious headphones.
14-year-old Leanne Fan was awarded the top prize at the 2022 3M Young Scientist Challenge for her “Finsen Headphones.” This one-of-a-kind device detects and treats middle ear infections.
#headphones #technology #newsonleo #earinfections
The Finsen headphones take their name from Nobel Prize winner Niels Finsen. The Danish physician pioneered modern phototherapy, which uses ultraviolet light to cure skin diseases. With it, Finsen treated over 800 lupus vulgaris cases during his life. Of that number, more than 400 yielded successful results.
Fan, a 9th grader from San Diego, cites phototherapy as her favorite invention. She also says that it was the inspiration behind her headphones:
“Phototherapy has been overshadowed for decades due to the popularity and ease of use of antibiotics. Phototherapy is also commonly used for eczema and acne and is a non-medicinal way of killing bacteria and treating diseases. It is very versatile and has endless possibilities, and inspired me to start my project.” – Leanne FanThe Prevalence of Ear Infections in Kids
Article
Sleep experts call for UK to abolish twice-yearly clock changes
A team of leading sleep researchers from the British Sleep Society have called for the government to abolish the twice-yearly clock changes in the UK due to the adverse effects on sleep and circadian health.
A team of leading sleep researchers from the British Sleep Society have called for the government to abolish the twice-yearly clock changes in the UK due to the adverse effects on sleep and circadian health.
#britian #newsonleo #sleep #timechange #technology
After considering the available scientific evidence that circadian and sleep health are positively affected by the availability of natural daylight during the morning and negatively affected by the twice-yearly changes of clock time, especially when the clocks move forward in spring, the British Sleep Society recommends the abolition of the twice-yearly clock changes in the UK.
With sleep being central to health and wellbeing, the Society has issued a statement saying that it “strongly recommends” for Standard Time – also known as Greenwich Mean Time (GMT) – to run throughout the year.
Article
This powder removes as much CO₂ from the air as a tree
Berkeley chemists have created a reusable material that pulls carbon dioxide from the air and holds onto it until it can be stored.
A typical large tree can suck as much as 40 kilograms of carbon dioxide out of the air over the course of a year. Now scientists at UC Berkeley say they can do the same job with less than half a pound of a fluffy yellow powder.
#newsonleo #technology
The powder was designed to trap the greenhouse gas in its microscopic pores, then release it when it’s ready to be squirreled away someplace where it can’t contribute to global warming. In tests, the material was still in fine form after 100 such cycles, according to a study published Wednesday in the journal Nature.
“It performs beautifully,” said Omar Yaghi, a reticular chemist at UC Berkeley and the study’s senior author. “Based on the stability and the behavior of the material right now, we think it will go to thousands of cycles.”
Article
China Unveils New Approach to Road Construction. It Involves 98 Miles, 10 Machines, and No Humans at All
#newsonleo #china #construction #technology #automation
The Future of Road Construction: A Glimpse into Automation
The process of building a road is a complex and labor-intensive endeavor that requires meticulous planning and execution. From determining the optimal route to selecting and mixing materials, every step of the process demands precision and attention to detail. However, a recent project in China has taken a significant step towards revolutionizing the industry by introducing automation into the road construction process.
China's Automated Road: A Groundbreaking Achievement
In a remarkable feat, China has successfully built a 98-mile road without human intervention. The project, led by China Railway 11th Bureau, Hubei Communications Investment, and Liaoning Guotai Road and Bridge, utilized advanced automated machinery to construct the road. Sany Group supplied the necessary equipment, and the project was showcased at a road construction and infrastructure conference, attracting 700 participants.
The road, which connects Beijing to Hebei, features a 62-foot-wide surface constructed using ten unmanned machines. These machines, equipped with advanced algorithms and sensors, worked in tandem to distribute a mixture of compacted stones and sand, apply a bitumen binder, and level the surface with autonomous rollers. Drones monitored the project's development and conducted topographical assessments to ensure adherence to expected parameters, providing real-time feedback to the machines.
The Benefits of Automation
The use of automation in road construction offers several significant benefits, including:
The Future of Road Construction
While it is unclear whether China will continue to use this approach for future road construction projects, the results are promising. The enhanced precision and efficiency achieved through automation may challenge traditional human-operated methods, and it is likely that we will see more widespread adoption of automation in the road construction industry.
As technology continues to evolve, we can expect to see advancements in areas such as:
Conclusion
The construction of a 98-mile road without human intervention is a significant engineering milestone that demonstrates the potential of automation in road construction. The benefits of automation, including millimetric precision, higher speeds, reduced labor costs, and increased efficiency, make it an attractive option for future projects. As the industry continues to evolve, it will be exciting to see how automation is applied to future road construction projects, and what new innovations and advancements emerge.
Article
Wikipedia Is Filling Up So Much With AI-Generated Content That It Has a Group Dedicated to Finding It
The WikiProject AI Cleanup group is a team of volunteers who search Wikipedia for AI-generated content to edit or remove it.
It’s not an easy job.
Content generated by AI has reached every corner. It’s appeared on Amazon, where books written by ChatGPT are now available. It's also reached media outlets, scientific articles, videos, music, images, and photographs—essentially, everything. Given that landscape, it’s no surprise that generative AI is also present on Wikipedia.
#wikipedia #ai #chatgpt #technology
What is Wikipedia
From Wikipedia)
Wikipedia is a free content online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and the wiki software MediaWiki. Wikipedia is the largest and most-read reference work in history, and is consistently ranked among the ten most visited websites; as of August 2024, it was ranked fourth by Semrush, and seventh by Similarweb. Founded by Jimmy Wales and Larry Sanger on January 15, 2001, Wikipedia has been hosted since 2003 by the Wikimedia Foundation, an American nonprofit organization funded mainly by donations from readers.
Hi, @taskmaster4450le,
This post has been voted on by @darkcloaks because you are an active member of the Darkcloaks gaming community.
Get started with Darkcloaks today, and follow us on Inleo for the latest updates.
That’s a problem. As such, the platform is addressing it with a group of collaborators dedicated to finding and removing this content. They call themselves the WikiProject AI Cleanup group.
How Wikipedia works. Understanding that Wikipedia is open for anyone to write and edit articles is essential. This openness has a positive side. If you have information about a topic or are an expert in a field, you can enhance the encyclopedia by adding new information, refining existing content, or correcting errors.
However, the downside is that anyone can edit Wikipedia and create false information. Introducing tools like ChatGPT complicates this issue further.
AI floods everything. According to 404 Media, Ilyas Lebleu, founder of the WikiProject AI Cleanup initiative, explains that the project began when they noticed “the prevalence of unnatural writing that showed clear signs of being AI-generated.” Using ChatGPT, the team replicated similar styles, making it an obvious step.
404 Media cites a notable example: the Ottoman fort of Amberlisihar, allegedly built in 1466. Its Wikipedia page, a 2,000-word article, detailed its history, construction, materials—everything you would expect. The issue is that this fort doesn’t exist. It’s a product of an AI hallucination. The article appeared in January 2023, but Wikipedia only discovered it in December.
The same goes for photographs. An article on the Islamic seminary Darul Uloom Deoband included the image below, which at first glance may seem authentic. However, a closer look at the hands and feet—pay attention to detail below—reveals it is AI-generated. The WikiProject AI Cleanup team removed the image because it “contributes little to the article, could be mistaken for a contemporary artwork, and is anatomically incorrect.” The team doesn’t remove all AI-generated images, only those deemed inappropriate.
Initially only available in English, editions of Wikipedia in more than 300 other languages have been developed. The English Wikipedia, with its almost 6.9 million articles, is the largest of the editions, which together comprise more than 63 million articles and attract more than 1.5 billion unique device visits and 13 million edits per month (about 5 edits per second on average) as of April 2024. In July 2024, over 25% of Wikipedia's traffic was from the United States, followed by Japan at 6.2%, the United Kingdom at 5.8%, Russia at 5.2%, Germany at 5%, and the remaining 51% split among other countries.
Wikipedia has been praised for its enablement of the democratization of knowledge, extent of coverage, unique structure, and culture. It has been criticized for exhibiting systemic bias, particularly gender bias against women and geographical bias against the Global South (Eurocentrism). While the reliability of Wikipedia was frequently criticized in the 2000s, it has improved over time, receiving greater praise from the late 2010s onward while becoming an important fact-checking site. Wikipedia has been censored by some national governments, ranging from specific pages to the entire site. Articles on breaking news are often accessed as sources for frequently updated information about those events.
The Editors Protecting Wikipedia from AI Hoaxes
WikiProject AI Cleanup is protecting Wikipedia from the same kind of misleading AI-generated information that has plagued the rest of the internet.
#wikipedia #ai #technology #data #information
A group of Wikipedia editors have formed WikiProject AI Cleanup, “a collaboration to combat the increasing problem of unsourced, poorly-written AI-generated content on Wikipedia.”
The group’s goal is to protect one of the world’s largest repositories of information from the same kind of misleading AI-generated information that has plagued Google search results, books sold on Amazon, and academic journals.
“A few of us had noticed the prevalence of unnatural writing that showed clear signs of being AI-generated, and we managed to replicate similar ‘styles’ using ChatGPT,” Ilyas Lebleu, a founding member of WikiProject AI Cleanup, told me in an email. “Discovering some common AI catchphrases allowed us to quickly spot some of the most egregious examples of generated articles, which we quickly wanted to formalize into an organized project to compile our findings and techniques.”
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NASA Is Offering $3 Million to Solve a Problem That Started When Neil Armstrong Set Foot on the Moon: Poop
It’s not a trivial issue, especially as humanity considers the possibility of colonizing space.
NASA needs you. That’s a familiar slogan at the world’s most famous space agency. Despite employing some of the brightest minds, there are still problems that remain unsolved—issues so complex that NASA has to turn to the public for help. Currently, there are about 20 projects open for public collaboration, but none quite like this one. NASA not only needs your help to solve it, but it also has a proposition for you. If you succeed, you could become a millionaire.
#nasa #space #poop #technology
A “shitty” problem. NASA has launched a competition offering $3 million in prizes to those who can help solve a problem that has persisted for years: managing human waste in space. With renewed efforts to explore the Moon and future missions to Mars, this issue is more relevant than ever.
The puzzle. NASA is seeking a solution for handling human waste during space exploration. In other words, alongside robots, tardigrades, a family photo, and other remnants, it won’t be unusual to find hundreds of bags of human excrement on the Moon. Those who find a solution know exactly what’s at stake.
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First-ever ‘black hole triple’ found 8,000 light-years away, defies supernova concept
This black hole may be the first direct evidence of “gentle” black hole formation.
For the first time, physicists have observed a unique black hole in space that challenges the theory of how black holes are formed.
Many black holes have been detected and appear as part of a pair. These binary systems comprise a black hole and a secondary object — such as a star, a much denser neutron star, or another black hole — that spiral around each other, drawn together by the black hole’s gravity to form a tight orbital pair.
#space #blackholes #science
Now, a surprising discovery expands our understanding of black holes, the objects they can host, and how they form.
In a study appearing today in Nature, physicists at MIT and Caltech report that they have observed a “black hole triple” for the first time.
The new system holds a central black hole in the act of consuming a small star spiraling in very close to the black hole every 6.5 days — a configuration similar to most binary systems.
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Tesla Cybertruck pushes past Ford Mach-E to become third best-selling EV in America
Tesla's Cybertruck was the third best-selling electric vehicle in the United States in the third quarter, beating out every other EV not made by Tesla.
Tesla’s Cybertruck was the third best-selling electric vehicle in the United States in the third quarter, beating out every other EV not made by Tesla. The only two vehicles that sold better were the Model 3 sedan and Model Y SUV.
#cybertruck #tesla #ev #ford #mache
The polarizing truck notched this achievement despite selling at its most expensive trim model in the early going. It’s also a sign of just how much trouble major automakers like Ford and General Motors have run into in finding customers for their own EVs.
Automotive research firm Kelley Blue Book pegged Tesla’s Cybertruck sales as third-best last week, notching over 16,000 sales.
Ford only sold around 7,000 F-150 Lightnings in the third quarter, and just over 13,000 Mustang Mach-E SUVs, according to sales data from the automaker. GM has seemingly found some early success with its new Blazer and Equinox EVs, but still only sold around 32,000 electric vehicles total last quarter. Rivian only delivered around 3,800 of its own electric pickup.
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Georgia jail welcomes state-of-the-art robots to security team
The Cobb County Sheriff’s Office officially unveiled its new DEKA Sentry Robots on Wednesday as the agency looks to enhance security at its jail.
The robot revolution has now made its way into Georgia jails.
"Hello, nice to meet you," the robot said after being uncovered.
#robots #georgia #jail #security #cobbcounty
The Cobb County Sheriff’s Office officially unveiled its new DEKA Sentry Robots on Wednesday as the agency looks to enhance security at its jail.
"I think we can work smarter with technology and not harder," said Cobb County Sheriff Craig Owens. "Allows me to shift manpower from other places inside the facility to get more things done."
Sheriff Owens says he believes he is the first to deploy robots in a jail in the United States. He says the "Jail bots" will assist deputies with perimeter patrols and security rounds in dorms.
"These Jail Bots can handle tasks much faster than some of us humans can and more efficiently," he said. "Now they will not take the place of humans, let's make sure you understand that."
The Cobb County Sheriff’s Office unveiled its new DEKA Sentry Robots to enhance security at its jail at a ceremony on Oct. 23, 2024. (FOX 5)
To start, three robots are being deployed at the jail. Standing at nearly six-feet tall, these robots are not just massive, but they are tricked out with aLL the latest gadgets like 360 cameras, night vision and heat detection. They will also provide continuous surveillance and real-time communications. While the robots are programmed to navigate the facility autonomously, a live operator will control them for more complex tasks.
"I think it's going to be a game changer for the whole corrections industry because it will allow us to be a lot safer, more efficient," Sheriff Owens said.
The company behind the robots says AI technology will help spot issues and then notify the appropriate deputies.
"We're hoping it will become the basis of another one of our technologies, going from indefensible to indispensable as quickly as possible," said Dean Kamen, Founder and CEO of DEKA.
Sheriff Owens says the robots will help keep his deputies and inmates safe while also reducing human error. He says his goal with testing this tech is to move into the future and the best part is that it's not costing them any money right nOW.
"Here's a good thing, robots don't call out sick, they don't take vacations," he said. "All they need to do is be charged."
The pilot program will last 90 days.
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A Documentary Claimed Canadian Developer Peter Todd Was Satoshi Nakamoto, the Creator of Bitcoin. Now, He’s Gone Missing
#bitcoin #crypto #petertodd #satoshi
The true identity of Satoshi Nakamoto, the creator of bitcoin, has long been shrouded in mystery. A recent HBO documentary titled Money Electric: The Bitcoin Mystery has gathered various pieces of information and evidence, claiming to have uncovered the solution.
According to the documentary, Nakamoto is actually Peter Todd, a Canadian developer and cryptography expert who has been significantly involved in the cryptocurrency realm since the inception of bitcoin.
When approached for an interview, Todd reportedly had no idea that the documentary aimed to reveal Nakamoto’s true identity. Instead, he says he believed the production was focused on the history of bitcoin.
During the HBO film, Todd humorously said, “I’m Satoshi,” referencing an old meme popular among crypto enthusiasts. However, in a subsequent interview with CoinDesk, he clarified: “Of course I’m not Satoshi.”
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On the earnings call, Elon Musk mentioned how #tesla puts out more than 35K autonomous ready vehicles each week. This is much larger than Waymo's entire fleet.
Tesla shares jump as EV maker posts better-than-expected profit of $2B
It was the company’s first year-over-year quarterly profit increase of 2024, a year plagued by falling sales and prices.
Tesla’s third-quarter net income rose 17.3% compared with a year ago as its quarterly electric vehicle sales rose for the first time this year.
#tesla #earnings #ev #technology
The Austin, Texas, company said Wednesday that it made $2.17 billion from July through September, more than the $1.85 billion profit it posted in the same period of 2023.
The profit came despite price cuts and low-interest financing that helped boost sales of Tesla’s aging vehicle lineup. It was the company’s first year-over-year quarterly profit increase of 2024, a year plagued by falling sales and prices.
Revenue in the quarter rose 7.8% to $25.18 billion, falling short of Wall Street analysts who estimated it at $25.47 billion, according to FactSet. Excluding one time items, Tesla made 72 cents per share, beating analyst expectations of 59 cents.
Shares in Tesla soared more than 9% in trading after Wednesday’s closing bell.
Earlier this month Tesla said it sold 462,890 vehicles from July through September, up 6.4% from a year ago. The sales numbers were better than analysts had expected.
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Start-up claims to have 'successfully' achieved first 'chat' between two dreaming humans: 'Could unlock new dimensions'
“It will improve the quality of their life so much that people won’t imagine their life without technologies like this. We just need to improve them, and it’s just a matter of time.”
Researchers for a California start-up claim they achieved the first-ever communication between two humans while dreaming, in what they dubbed a “historic milestone” that “could unlock new dimensions.”
#chat #technology #humans
REMspace, a San Francisco Bay Area-based neurotech company focused on lucid dreaming and sleep enhancement, shared that they have now twice had “two individuals successfully induced lucid dreams and exchanged a simple message.”
The company claimed the participants were sleeping at their homes on Sept. 24 when their specially developed “apparatus” remotely tracked their polysomnographic data through WiFi — recording their brain waves, blood oxygen levels, heart rate, and breathing during sleep.
After the company’s server detected that one of the candidates had entered a lucid dream state, it generated a random word and repeated it to him via earbuds.
The company has not shared the word, which was allegedly only known to the participant and repeated in his dream state, but his response was then recorded and stored on their server.
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About REMspace
At REMspace Inc., we believe that REM sleep will be the next groundbreaking advancement following AI, poised to revolutionize civilization. This conviction drives us to develop innovative technologies and services, aiming to be pioneers on this journey.
People once believed that hyper-realistic dreams experienced during REM sleep were forever disconnected from reality. However, emerging technologies will change this outdated notion. Why? Unlike virtual reality, REM sleep allows individuals to immerse themselves in a fully developed reality where they can see, hear, touch, smell, taste, experience pleasure and pain, and even alter their body and gender. Unlike physical reality, REM sleep is free from limitations and rules.
These extraordinary features make REM sleep incredibly appealing to the general public and simultaneously offer significant business opportunities. It makes the conquest of REM sleep inevitable. It is only a matter of time. All we need to do is learn how to maintain consciousness during REM sleep and integrate it with modern technologies.
REMspace is a neurotechnology company that's making waves in the field of lucid dreaming. They've recently raised $1 million in seed funding to further develop their innovative technologies .
Their mission is to make lucid dreaming accessible to everyone, and they believe it can have a profound impact on our lives. According to Michael Raduga, CEO at REMspace, "Lucid dreams are a gateway to new experiences; they can help fight depression, eliminate fears, improve the practitioner's mood and quality of life, and promote sleep quality" .
One of their breakthrough achievements is enabling two-way communication between people in lucid dreams. Yes, you read that right! They've successfully demonstrated that people can exchange information while dreaming. This technology has the potential to revolutionize the way we interact with each other, even in our subconscious state.
REMspace offers various products and services, including:
Smart Sleeping Mask: Helps with lucid dreaming, falling asleep, gentle awakening, meditating, improving dream recall frequency, and preventing snoring.
Dietary Supplements: Supports lucid dreaming and improved sleep quality ¹.
Dream Journaling: A social media platform for sharing and tracking dreams.
The company is pushing the boundaries of what's possible in the realm of lucid dreaming. With their cutting-edge technology and innovative approach, REMspace is poised to change the way we experience and interact with our dreams.
What is Lucid Dreaming?
It is often said that everyone dreams but not everyone remembers dreaming. People who claim they don’t dream often respond skeptically to the question, “Does lucid dreaming exist?” Meanwhile, those who do recall their dreams may find themselves wondering, “Is there a way to lucid dream?” After aLL, it’s one thing to passively watch your dreams and take part in them indirectly, and quite another to realize you’re dreaming and actively influence the events unfolding in the dream. For those who struggle to remember their dreams, the ability to consciously control a dream might seem unrealistic. However, theoretically, everyone has the potential not only to dream and become aware of the process but also to affect it directly.
Is there a way to lucid dream?
In reality, many people have spontaneously experienced lucidity in a dream at least once in their lifetime (Survey: “How Many People Have Experienced Lucid Dreams and Sleep Paralysis?”). For regular practitioners, the question of whether lucid dreaming exists has been settled. They know that lucid dreaming is possible, and they use their controlled dreams to solve problems, achieve goals, explore their abilities, and, of course, have fun.
The History of Lucid Dream Studies
Lucid dreaming as a practice has been known since ancient times. Dreams were often regarded as a form of communication with the gods or a means of understanding one’s true self. Ancient Greek philosophers like Plato and Aristotle wrote about a possible connection between dreams and reality. Papyrus records and hieroglyphs from ancient Egypt suggest that Egyptians considered dreams important and used them for healing purposes. In some cultures, lucid dreaming was seen as a way to prepare for the afterlife, and ancient Indian yogis used lucid dreams to develop spiritual capabilities.
Examples of such practices include dream yoga (Milam) in Tibetan Buddhism, Swapna yoga or Nidra yoga in India, and dream incubation in ancient Greece.
These practices show that people have long considered dreams to be more than just a form of rest, although they were mainly approached from an esoteric and spiritual perspective.
In the mid-19th century, French Marquis d’Hervey de Saint-Denys wrote Dreams and How to Direct Them (“Les rêves et les moyens de les diriger”), in which he describes his methods for working with dreams. His work can be considered the beginning of the scientific approach to studying dreams.
In the early 20th century, Dutch psychiatrist and writer Frederik van Eeden continued the scientific exploration of controlled dreams. Van Eeden kept detailed dream journals to explore his experiences and actions in dreams, noting that in some dreams, he realized he was dreaming and could influence the events. He called these special controlled dreams “lucid dreams.”
In his article “A Study of Dreams,” published in The Journal of Society for Psychical Research, van Eeden coined the term “lucid dreaming,” which he used to refer to the state of being aware in a dream and the ability to control the events, actions, and plots within the dream.
In the second half of the 20th century, English researcher Celia Green studied the “paranormal phenomenon” of lucid dreams from a scientific perspective. Green gathered data on others’ lucid dreaming experiences, and her book Lucid Dreams (1968) laid the groundwork for future scientific studies on the subject.
Does lucid dreaming exist
In the 1970s, British psychologist Keith Hearne conducted the first study using polysomnography to determine whether lucid dreams exist. He objectively confirmed their existence.
American psychophysiologist Stephen LaBerge continued Hearne’s work. In 1980, LaBerge completed his dissertation, Lucid Dreaming: An Exploratory Study of Consciousness during Sleep. He used polysomnography and other methods to confirm the presence of consciousness during sleep and demonstrated that lucidity occurs specifically during the REM (rapid eye movement) sleep phase.
In 1990, LaBerge and American writer and researcher Howard Rheingold co-authored Exploring the world of Lucid Dreaming, which described practical methods for achieving lucidity during dreams.
These studies helped make lucid dreaming more accessible to The General public and sparked greater interest in the topic.
In the 21st century, Russian researcher Michael Raduga furthered the study of lucid dreams. Specifically, Raduga founded REMspace Inc., published several books, and developed free video lessons offering methods for achieving lucidity in dreams.
Currently, Michael Raduga is continuing his research on lucid dreaming and developing techniques that enable anyone to begin practicing lucid dreaming.
What Is Lucid Dreaming?
From a scientific perspective, a lucid dream is a unique state of consciousness that occurs during sleep, when a person maintains self-awareness. During a lucid dream, not only can a person understand that they are dreaming, but they can also (to varying degrees) influence both the dream’s events and their own behaviors and emotional states.
How Is Lucid Dreaming Different from Regular Dreams?
Physiologically, lucid dreams occur during the REM phase of sleep, which is the phase when the brain’s activity resembles that of wakefulness and most vivid dreams occur. Polysomnographic measurements conducted by various researchers have confirmed this fact.
Neurophysiological data suggest that lucid dreaming involves increased activity in the prefrontal cortex, the area of the brain responsible for decision-making, planning, self-awareness, and controlling actions. There is also heightened activity in the hippocampus and other regions related to memory, orientation, and information processing. The increased levels of acetylcholine and other neurotransmitters associated with brain activity in the REM phase contribute to a more conscious state during sleep.
Psychologically, practicing lucid dreaming enhances one’s ability to maintain self-control and regulate their emotional responses. Lucid dreaming can help people manage emotional issues, alleviate stress, and improve self-understanding. It also provides a safe space to “rehearse” real-life situations and reactions. You can read more about these possibilities of lucid dreams in Michael Raduga’s book REM Psychology: Solving Psychological Problems in Lucid Dreams.
Conclusion
Scientific explanations of lucid dreams seek to uncover the biological and neural processes behind such dreams while also acknowledging their psychological and spiritual aspects. Research continues to make lucid dreaming more accessible to people and open up new possibilities for studying and applying lucid dreams in practical ways.
Meta restores meme showing Harris and Walz as 'Dumb and Dumber'
Meta’s Oversight Board on Wednesday overturned Facebook’s decision to remove a meme that poked fun at the Democratic presidential ticket as characters from the hit film "Dumb and Dumber."
Facebook reversed its ban of a meme that pokes fun at the Democratic presidential ticket as characters from the hit film “Dumb and Dumber” following a ruling from parent Meta’s oversight board.
#facebook #meta #meme #harris #walz #politics #socialmedia
Mark Zuckerberg-led Facebook — which famously censored The Post’s Hunter Biden laptop coverage — took down a post in August that Photoshopped the faces of Kamala Harris and running mate Tim Walz onto those of the 1994 movie’s stars, Jim Carrey and Jeff Daniels.
The doctored movie poster, showing Harris and Walz “grabbing each other’s nipples through their clothing,” was flagged for violating Facebook’s policy against bullying and harassment, which bars “derogatory sexualized photoshop or drawings,” according to the Oversight Board’s review.
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Vinted hits $5.4B valuation amid wave of secondary share sales in Europe
Vinted has secured a valuation of €5 billion, after the second-hand fashion marketplace closed a secondary market share sale.
Lithuania’s Vinted has secured a new valuation of €5 billion (around $5.4 billion at current exchange rates), after the second-hand fashion marketplace closed a secondary share sale worth €340 million ($367 million).
#vinted #seedmoney #technology #startup #europe
The transaction was led by private equity giant TPG, with other new participants including Baillie Gifford, FJ Labs, Hedosophia, Invus Opportunities, Manhattan Venture Partners, and Moore Strategic Ventures. It’s unclear how much Vinted’s existing investors cashed out, but the company says that all its existing institutional investors — which include Accel, EQT, Insight Partners, and Lightspeed Venture Partners — have retained at least some stake.
It’s proving to be a bumper year for secondary market transactions, particularly in Europe, as scale-ups seek to unlock liquidity for their employees and VCs in a decidedly tepid IPO market. In the past few months alone, we’ve seen neobanks Revolut and Monzo pursue secondary market routes, attaining lofty valuations off the back of strong user growth and profitability.
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Perplexity launches a native Mac app
AI-focused search startup Perplexity launched its native Mac app today to compete with other AI apps like OpenAI's ChatGPT and Quora's Poe app
AI-focused search startup Perplexity launched its native Mac app today to compete with other AI apps like OpenAI’s ChatGPT and Quora’s Poe app — the latter aggregates different large language models.
#perplexity #mac #apple #technology #newsonleo #application
Perplexity had teased the app earlier this month and asked users to sign up for pre-orders so they get a notification when the app is available.
The Mac app is free to use, but you can buy Perplexity Pro for $20 a month or $200 a year. This subscription gives users the benefit of more than 300 Pro searches, which are more in-depth search results as compare to its free quick search tier.
The Mac version also allows you to quickly invoke the Perplexity search through keyboard shortcuts. You can also access voice mode, file upload, and voice dictation mode using shortcuts. While you could upload files and ask questions by typing on the website, the addition of voice mode and dictation is helpful for people who are more comfortable with audio interactions.
The new app also lets you ask follow-up questions and browse your conversation history through the sidebar. The company launched both its iOS and Android apps last year.
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What is Perplexity?
Perplexity is a free AI search engine designed to revolutionize the way you discover information. Ask any question, and it searches the internet to give you an accessible, conversational, and verifiable answer. Think of Perplexity as a research partner, always on the clock, saving you valuable time by providing the precise knowledge you need.
Intel's $1.45 billion EU antitrust fine is officially history
A €1.06 billion EU antitrust penalty on chipmaker Intel for abuse of dominance dating back to 2009 (when it was equivalent to $1.45 billion)
A €1.06 billion EU antitrust penalty on chipmaker Intel for abuse of dominance dating back to 2009 (when it was equivalent to $1.45 billion) has been consigned to the history books after the bloc’s top court rejected the Commission’s appeal against a 2022 lower court ruling that annulled the sanction.
#intel #eu #antitrust #fine #technology #newsonleo
“The Court of Justice dismisses the Commission’s appeal, thereby upholding the judgment of the General Court,” the CJEU wrote in a press release Thursday.
The portion of the EU enforcement that failed concerned “conditional rebates” Intel provided to computer makers for using its chips. The Commission had argued that these rebates were anti-competitive, but the judges ultimately disagreed.
However Intel hasn’t won everything: the 2022 ruling confirmed its “naked restrictions” as unlawful — practices consisting of paying PC makers to halt or delay production of products containing rival chips. The chipmaker did not appeal this finding, which is why the EU issued a new fine last fall of around $400 million.
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From Wikipedia:
Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware.[3] Intel designs, manufactures, and sells computer components and related products for business and consumer markets.
It is considered one of the world's largest semiconductor chip manufacturers by revenue[4][5] and ranked in the Fortune 500 list of the largest United States corporations by revenue for nearly a decade, from 2007 to 2016 fiscal years, until it was removed from the ranking in 2018.[6] In 2020, it was reinstated and ranked 45th, being the 7th-largest technology company in the ranking.
Intel supplies microprocessors for most manufacturers of computer systems, and is one of the developers of the x86 series of instruction sets found in most personal computers (PCs). It also manufactures chipsets, network interface controllers, flash memory, graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and other devices related to communications and computing. Intel has a strong presence in the high-performance general-purpose and gaming PC market with its Intel Core line of CPUs, whose high-end models are among the fastest consumer CPUs, as well as its Intel Arc series of GPUs. The open source Technology Center at Intel hosts PowerTOP and LatencyTOP, and supports other open source projects such as Wayland, Mesa, Threading building blocks (TBB), and Xen.[7]
Intel (Integrated electronics) was founded on July 18, 1968, by semiconductor pioneers Gordon Moore (of Moore's law) and Robert Noyce, along with investor Arthur Rock, and is associated with the executive leadership and vision of Andrew Grove.[8] The company was a key component of the rise of Silicon Valley as a high-tech center,[9] as well as being an early developer of SRAM and DRAM memory chips, which represented the majority of its business until 1981. Although Intel created the world's first commercial microprocessor chip—the Intel 4004—in 1971, it was not until the success of the PC in the early 1990s that this became its primary business.
During the 1990s, the partnership between Microsoft Windows and Intel, known as "Wintel", became instrumental in shaping the PC landscape[10][11] and solidified Intel's position on the market. As a result, Intel invested heavily in new microprocessor designs in the mid to late 1990s, fostering the rapid growth of the computer industry.
During this period, it became the dominant supplier of PC microprocessors, with a market share of 90%,[12] and was known for aggressive and anti-competitive tactics in defense of its market position, particularly against AMD, as well as a struggle with Microsoft for control over the direction of the PC industry.[13][14]
Since the 2000s and especially since the late 2010s, Intel has faced increasing competition, which has led to a reduction in Intel's dominance and market share in the PC market.[15] Nevertheless, with a 68.4% market share as of 2023, Intel still leads the x86 market by a wide margin.[16] In addition, Intel's ability to design and manufacture its own chips is considered a rarity in the semiconductor industry,[17] as most chip designers do not have their own production facilities and instead rely on contract manufacturers (e.g. AMD and Nvidia).[18]
EV shipments to Europe soar ahead of planned EU tariffs
Automakers from Asia’s biggest economy shipped 60,517 EVs to the 27 nations in the European trade bloc last month, up 61 percent from last year, according to customs data.
China exported more than 60,000 electric vehicles to the European Union in September, with shipments jumping to the second-highest level on record ahead of additional tariffs expected to take effect at the end of this month.
#china #evs #newsonleo #europe
Raspberry Pi releases more AI-focused add-ons
The Raspberry Pi AI HAT+ comes in 13 and 26 tera-operations per second (TOPS) variants, retailing at $70 and $110 respectively.
Raspberry Pi has been shipping new products at a rapid pace lately. This week, the company is adding several new products to its lineup to extend the functionalities of the Raspberry Pi 5.
#raspberrypi #ai #technology #newsonleo
Raspberry Pi is mostly known for its tiny, cheap, single-board computers that are widely used by hobbyists and schools, as well as industrial and electronics manufacturing companies. The Raspberry Pi 5, the company’s flagship product, features a PCIe 3.0 interface exposed with a 16-pin connector.
The company has been selling M.2 HAT+ extension cards that convert the 16-pin connector to a more traditional M.2 connector. HAT stands for “Hardware Attached on Top”, a cute acronym the company has been using to refer to extension cards that you attach to a regular Raspberry Pi.
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Scientists Just Discovered Over 70,000 Bizarre New Viruses With AI
Charting the "dark matter" of the viral universe has implications not just for biotechnology—but potentially for battling the next pandemic too.
Viruses are everywhere. They’re in the air; in sewage, lakes, and oceans; in grasslands and decaying wood. Some thrive in extreme conditions, like hydrothermal vents, Antarctic ice, and potentially even outer space.
#ai #technology #newsonleo #viruses #health
AI Tool Unveils Hidden World of RNA Viruses, Expanding Our Understanding of Earth's Viral Diversity
In a groundbreaking study published in Cell, researchers have employed artificial intelligence to discover over 70,000 previously unknown RNA viruses, dramatically expanding our understanding of Earth's viral diversity. This discovery not only sheds light on the mysterious "dark matter" of the viral world but also has potential implications for biotechnology and pandemic prevention.
The Hidden Viral Universe
Viruses are ubiquitous, existing in virtually every environment on Earth - from everyday settings like air and water to extreme conditions such as hydrothermal vents and Antarctic ice. Despite their ancient origins and constant presence throughout human history, much of the viral world remains unexplored. scientists have traditionally faced significant challenges in studying viruses due to their rapid mutation rates and the limitations of conventional sequencing methods.
Revolutionary AI Approach
The research team, led by Mang Shi at Sun Yat-sen University, developed a novel AI system called LucaProt to tackle this challenge. The system combines two sophisticated approaches:
This dual-channel approach allows LucaProt to:
Significant Findings
The AI analysis of nearly 10,500 samples revealed:
Scientific Implications
This discovery has several important implications for science and medicine:
Research Applications
Medical Relevance
Evolutionary Biology
The study suggests that RNA viruses may have an evolutionary history as long as, or possibly longer than, cellular organisms. This finding could reshape our understanding of life's early development on Earth.
Future Directions
The research team is currently working on upgrading their AI system to predict viral hosts, particularly focusing on:
Broader Impact
This research demonstrates the powerful role AI can play in biological discovery. By revealing previously invisible aspects of the viral world, these tools may help scientists:
As we continue to explore this expanded viral universe, each discovery has the potential to unlock new understanding of life's complexity and evolution, while potentially providing tools to address current and future health challenges.
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Nvidia fixes Blackwell chip flaw with help from TSMC, mass production back on schedule
Overcoming this issue was crucial for Nvidia, as it aims to maintain its dominant position in the AI chip market.
Nvidia has successfully fixed a design flaw in its latest Blackwell AI chips, according to CEO Jensen Huang. The issue, which caused production delays, has been solved with the assistance of TSMC, Nvidia's long-standing manufacturing partner. In fact, it was TSMC that originally spotted the problem.
#nvidia #blackwell #tsmc #semiconductor #chips #technology
Overcoming this issue was crucial for Nvidia, as it aims to maintain its dominant position in the AI chip market. As demand for high-performance AI computing solutions continues to surge, the successful launch of Blackwell will play a pivotal role in providing the necessary hardware.
Huang candidly admitted the company's responsibility for the setback. "We had a design flaw in Blackwell," he said. "It was functional, but the design flaw caused the yield to be low. It was 100 percent Nvidia's fault."
The Blackwell chips, unveiled in March, were originally slated for second-quarter shipping. However, the design flaw led to delays, potentially affecting major customers such as Meta, Google, and Microsoft.
The Blackwell project was unusually complex, Huang said, which may have been a factor in the flaw. "In order to make a Blackwell computer work, seven different types of chips were designed from scratch and had to be ramped into production at the same time."
The technical issue stemmed from the intricate packaging technology used in the Blackwell B100 and B200 GPUs. These chips employ TSMC's CoWoS-L packaging, which utilizes an RDL interposer with local silicon interconnect bridges to achieve data transfer rates of about 10 TB/s. The problem arose from a mismatch in thermal expansion properties between various components, causing system warping and failure.
Article
Tesla says it's on track to produce "more affordable" vehicles in 2025
In the company's third quarter earnings report, Tesla wrote that preparations remain underway for its offering of new vehicles.
Electric cars are expensive – something that's especially true when it comes to Tesla's models. Elon Musk's firm has said for years that it plans to sell a more affordable EV, and it has now repeated claims that it will finally arrive sometime in the first half of 2025.
#tesla #ev #elonmusk #technology
Background
In 2020, Tesla announced plans to launch a new EV that could cost as little as $25,000. This was seen as a major development, as it would have made Tesla's vehicles more accessible to a wider range of customers. The new EV was codenamed NV9, and it was expected to be a significant improvement over the company's existing models.
Modular Manufacturing Process
One of the key features of the NV9 was its use of a modular manufacturing process, which was designed to reduce costs. This process involved breaking down the vehicle into separate sections, which could then be assembled individually. This approach was expected to significantly reduce production costs, making the vehicle more affordable.
However, in a recent statement, Tesla announced that it was abandoning its modular manufacturing process for the NV9. Instead, the company will be using aspects of its next-generation platform, as well as its current platforms and manufacturing lines. This decision suggests that Tesla is prioritizing efficiency and scalability over cost reduction.
Design and Specifications
The exact design and specifications of the NV9 are still unclear, but it is expected to be a more compact version of the Model 3 or the Model Y. Some reports suggest that the NV9 may be similar in size to the Model Y, but with a more compact hatchback-style design.
In terms of features, the NV9 is expected to have a similar range of capabilities to Tesla's existing models, including Autopilot and Supercharger access. However, the company has not ruled out the possibility of introducing new features or technologies as part of the NV9.
Pricing
Tesla has stated that the NV9 will not achieve the same level of cost reduction as initially expected. However, the company remains optimistic about its ability to grow vehicle volumes in a more capital-efficient manner during uncertain times.
In terms of pricing, Tesla has not provided any specific details, but it is expected to be significantly lower than the average price of its 2024 models, which is currently over $63,000.
Comparison to Existing Models
The NV9 is expected to be a more affordable option than Tesla's existing models, but it is unclear how much cheaper it will be. The Model 3 Standard Range, which was recently discontinued, had a sticker price of $38,990. The Model 3 Long Range, which is currently the cheapest vehicle Tesla sells, has a sticker price of $42,490.
In comparison, the NV9 is expected to be significantly cheaper than the Model 3, but it is unclear how much cheaper. Tesla has stated that the NV9 will be a more affordable option, but it has not provided any specific details on pricing.
Implications
The introduction of the NV9 is significant for Tesla, as it offers a more affordable option for customers who are looking to transition to electric. The company's decision to abandon its modular manufacturing process suggests that Tesla is prioritizing efficiency and scalability over cost reduction.
However, the fact that the NV9 will not achieve the same level of cost reduction as initially expected may be a disappointment for some investors. Tesla's stock price has been volatile in recent years, and the company's ability to deliver on its promises will be closely watched by investors.
Overall, the introduction of the NV9 is a significant development for Tesla, and it offers a more affordable option for customers who are looking to transition to electric. However, the company's decision to abandon its modular manufacturing process suggests that Tesla is prioritizing efficiency and scalability over cost reduction.
Tesla (TSLA) Q3 2024 Earnings Call Transcript
TSLA earnings call for the period ending September 30, 2024.
So, you see, we all have -- the energy storage business is growing like wildfire with strong demand for both Megapack and Powerwall. And as you all know, on October 10, we laid out a vision for an autonomous and future that I think is very compelling that the Tesla team did a phenomenal job there with actually giving people an option to experience the future, where you have humanoid robots working among the craft, not with a canned video and a presentation or anything but walking among crowd so he drinks and whatnot. And we had 50 autonomous vehicles.
There were 20 Cybercabs, but there were an additional 30 Model Ys, operating fully autonomously the entire night, carrying thousands of people with no incidents the entire night.
And all those who went there that worth emphasizing that the Cybercab had no steering wheel or brake or accelerator panels, meaning there was no way for anyone to intervene manually a unit if they wanted to and the whole night went very smoothly. So, regarding the vehicle business, we are still on track to deliver our affordable models starting in the first half of 2025. This is -- I think probably people want should they assume for vehicle sales growth next year. And at the risk of -- to take a bit of risk here, I do want to give some rough estimate, which I think it's 20% to 30% vehicle growth next year, notwithstanding negative external events, like if there's some force majeure events, like some big war breaks out or interest rates go sky high or something like that.
We can't overcome massive force majeure events. But I think with our lower-cost vehicles with the advent of autonomy, something like a 20% to 30% growth next year is my best guess. And then Cybercab reaching volume production in '26. I do feel confident of Cybercab reaching volume production in '26, just starting production, reaching volume production in '26.
And that should be substantial, but we're aiming for at least 2 million units a year of Cybercab. That will be in more than one factory, but I think it's at least 2 million units a year, maybe 4 million ultimately. So, yes, these are just my best guesses but if you ask me my best guesses, those are my best guesses. The cell 4680 lines, the team is actually doing great work there.
The 4680 is rapidly approaching the point where it is the most competitive cell. So, when you consider the fully landed -- the cost of a battery pack fully landed in the U.S., net of incentives and duties, 4680 is tracking to be the most competitive, maybe lower cost per kilowatt hour, fully considered than any other alternative, which is -- we're not quite there yet but we're close to being there, which I think is extremely exciting. And we've got several -- a lot of ideas to go well beyond that. So, I think there's -- if we execute well, the 4680 -- we'll have the -- the Tesla internally produced cell will be the most cost competitive cell in North America, a testament to the tremendous amount of hard work there done by the team.
So, that's to say we'll continue to buy a lot of cells from our competitors. I tend not to provide -- to make cells just internally. So, I don't want to sort of here. We're obviously increasing substantially our vehicle output and our stationary storage output, so we need a lot of cells.
And most of them will still come from suppliers. But I think it is some good news that the Tesla internal cell is likely to be the most competitive in the U.S. So, with respect to autonomy, as people are experiencing in the cars really from week to week, there are significant improvements and the miles between interventions. So, with the new version 12.5, the release of full self-driving and Cybertruck, combining the code into a single stack so that the city driving and the engine and highway driving are one stack, which is a big improvement for the highway driving.
So, it's just all neural nets. And the release of actually Smart -- we try to have a sense of humor here. And we're also -- so that's 12.5. Version 13 of FSD is going out soon.
will elaborate more on that later in the call. We expect to see roughly a five- or sixfold improvement in miles between interventions compared to 12.5. And actually, looking at the year as whole, the improvement in miles interventions, we think will be at least three orders of magnitude. So, that's a very dramatic improvement in the course of the year, and we expect that trend to continue next year.
So, the current total expectation, internal expectation for the Tesla FSD having longer miles between versions than human is the second quarter of next year, which means it may end up being in the third quarter, but it's next -- it seems extremely likely to be next year. Ashok, do you want to say anything?
Ashok Elluswamy -- Director, Autopilot Software
Yeah. Miles between critical interventions, like you mentioned, Elon, we already made 100x improvement with 12.5 from starting of this year and then with v13 release. We expect to be 1,000x from the beginning, from January of this year on production software. And this came in because of technology improvements going to end to end, having higher frame rate, partly also helped by Hardware force, more capabilities, so on.
And we hope that we continue to scale the neural network, the data, the training compute, etc. By Q2 next year, we should cross over the average, even in miles per critical intervention collision, in that case.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
I mean, that is just unvarnished, our internal estimate.
Ashok Elluswamy -- Director, Autopilot Software
Yes. Yeah.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
So, that's not sandbagging or anything else. Our internal estimate is Q2 of next year to be safer than human and then to continue with rapid improvements thereafter. A vast majority of humanity has no idea that Tesla could drive themselves so especially for something like a Model 3 or Model Y, it looks like a normal car. So, you don't expect a normal car to be able to be intelligent enough to drive itself.
A Cybercab looks different. A Cybertruck looks different, but Model Y and Model 3 are -- look, they're good-looking cars but look fairly normal. You don't expect a fairly normal-looking car to have the intelligence, enough AI to be able to drive itself, but it does. So, we do want to expose that to more people, and so we're doing -- every time we have a significant improvement in the software, we'll roll out another sort of 30-day trial to encourage people to try it again.
And we are seeing a significant improvement in adoption. So, the take rate for FSD has improved substantially, especially after the 10/10 event. Yes. So, there's no need to wait for robotaxi or Cybercab to experience full autonomy.
We expect to achieve that next year with the -- with our existing vehicle line.
Ashok Elluswamy -- Director, Autopilot Software
I wanted to actually spot someone gives a small taste of what it's going to look like, the car able to drive itself to the user within private parking lots. Currently, it's speed-limited, but then it's going to quickly be increased. We already had more than 1 billion usage in terms of Smart Summon.
Elon Musk -- Chief Executive Officer and Product Architect
Ye. And we actually -- we have for Tesla employees in the Bay Area. We already are offering ride-hailing capabilities. So, you can actually -- with the development app, you can request a ride, and it will take you anywhere in the Bay Area.
We do have a safety driver for now, but it's not required to do that. We've developed -- and I mean, David, do you want to elaborate on that?
David Lau -- Vice President, Software Engineering
Yeah, sure. It's David. We showed some screenshots of this in the Q1 shareholder deck, and this is real. We've been testing it for the good part of the year.
And the building blocks that we needed in order to build this functionality and deliver it to production, we've been thinking about working on for years. It just so happens that we've used those building blocks to deliver great features for our customers in the meantime, such as sharing your profile, synchronizing it across cars so that every single car that you jump into, whether it's another car that you own or a car that somebody has loaned to you or a rental car that you jump into, it looks exactly like yours.
Everything synchronized, seat mirror positions, media, navigation, everything is the same, just what you would expect from one of our robotaxis. But we gave that functionality to our customers right now because we've built it intending for it to be used in the future, but we're releasing that functionality now.
All the end-to-end cybersecurity that we knew we were going to need to deliver that functionality, sending a navigation destination from your phone to the vehicle. And so, we're doing that now with the ride-hailing app, but it's something that we've made available to customers for years. Seeing the progress on a route in the mobile app, that's something you'll need for the ride-hailing app, but again, we released it in the meantime. So, it's not like we're just starting to think about this stuff right now while we're building out the early stages of our ride-hailing network.
We've been thinking about this for quite a long time, and we're excited to get the functionality.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
And we do expect to roll out ride-hailing in California and Texas next year to the public. Now, California is somewhere -- there's quite a long regulatory approval process. I think we should get approval next year but it's contingent upon regulatory approval. Texas is a lot faster so it's -- we'll definitely have available in Texas and probably have it available in California, subject to regulatory approval.
And then -- and maybe some other states actually next year as well, but at least California and Texas. So, I think that would be very exciting. That's really a profound change. Tesla becomes more than a sort of vehicle and a battery manufacturing company at that point.
So, we published Q3 vehicle safety report, which shows one crash for every 7 million miles of autopilot. That compares to the U.S. average of one crash roughly every 700,000 miles. So, it's currently showing a 10x safety improvement relative to the U.S.
average. And we continue to expand our AI training capacity to accommodate the needs of both FSD and Optimus. We are currently not training compute-constrained. Probably the biggest limiting factor of the FSD is actually getting so good that it takes us a while to actually find mistakes.
And when you start getting to where it can take 10,000 miles to find a mistake, it takes a while to actually figure out which it is. Is software A better than software B? It actually takes a while to figure it out because neither one of them makes the mistakes -- would take a long time to make mistakes. So, it's actually the single biggest limiting factor is how long does it take us to figure out which version is better? Sort of a high-class problem. Obviously, having a drone fleet is very helpful for breaking this out.
And then with Optimus, we showed a massive improvement in Optimus dexterity improvement on October 10. And our next-gen hand and forearm, which is 22 degrees of freedom, which is double the prior hand or forearm, it's extremely human-like, and so it's much better at tactile sensing. It's really -- I feel confident in saying that we have the most advanced humanoid robot by a long shot. And we're moreover the only company that really has all of the ingredients necessary to scale humanoid robots.
Because the things that -- what other companies are missing is that they're missing the AI brain, that they're missing people to really scale to very high-volume production. So, you see some impressive video demos, but what like the localized AI and the volume to very high numbers. As I've said on a few occasions before, I think Optimus will ultimately be the most valuable part, so I think has a good chance of being the most viable product that we made. For the energy business, that's doing extremely well.
And the opportunity ahead is gigantic. The Lathrop Megapack factory reached 200 Megapacks a week, which is now a 40-gigawatt hour a year run rate. And we have a second factory in Shanghai that will begin with the 20-gigawatt hour a year run rate in Q1 next year so next quarter. And that will also scale out.
It won't be long before we're shipping 100-gigawatt hours a year stationary storage at Tesla. And will that -- I mean, that will ultimately grow, I think, to multiple terawatt hours per year. It has to actually in order to have a sustainable energy future. If you're not at the terawatt scale, you're not really moving the needle.
So, if you look at our very complicated last master plan, which I think actually is too much detail, I'll maybe ask to analyze it and give us the TLDR on the management plan. We shared in that master plan that it is possible to take all of us to a fully sustainable energy situation using sustainable energy, power generation and batteries and electric transport.
And there were no fundamental material limitations, like there's not some very rare material that we don't have enough of. We actually have enough with raw materials to take all of human civilization, make it fully sustainable and dramatically increased its trust usage would still be fully sustainable.
One way to think of the progress of a civilization, this may sound a little esoteric, but is percentage completion of scale. So, [Inaudible] scale, one would be you're using all the power of a planet. We're currently less than 1% on Level 1. Level 2 would be using all the power of the sun, and Level 3, all of power of the galaxy, so we've got a long way to go, long way to go.
When you think of courtship terms, it becomes obvious that by far, the biggest source of energy is the sun. Everything else is in the. So, in conclusion, Tesla is focused on building the future of energy, transport, robotics and AI. And this is a time when others are just focused on managing around near-term trends.
We think what we're doing is the right approach. And if we execute on our objectives, I think we will, my prediction is Tesla will become the most valuable company in the world and probably by a long shot. I want to thank the Tesla team once again for strong execution in a tough operating environment, and we're looking forward to building an incredibly exciting future. Thank you.
Travis Axelrod -- Head of Investor Relations
Great. Thank you very much, Elon. And Vaibhav has some opening remarks as well.
Vaibhav Taneja -- Chief Financial Officer
Thanks. Our Q3 results were positive and once again demonstrate the scale to which the business has evolved or with generation of record operating cash flows of $6.3 billion. Our automotive revenues grew both quarter on quarter and year on year. While we had unit volume growth, we did experience a reduction in ASPs primarily due to the impact of financing incentives.
As a reminder, we are providing these incentives primarily using third-party banks and financial institutions and recognize the cost of these incentives as an upfront reduction to revenue. We released FSD for Cybertruck and other features like actually Smart Summon, like Elon talked about, in North America, which contributed $326 million of revenues in the quarter. We continue to see elevated levels of regulatory credit sales with over $2 billion of revenues so far this year. To expand on this at an industry level, China continues to outperform U.S.
and Europe by a factor of three. And if there is something to be learned from that, this gives a signal of what is to come in other regions. As customers' acceptance of EV growth, we feel that is the right strategy to build affordable and more compelling leads. Our focus remains on growing unit volume while avoiding a buildup of inventory.
To support this strategy, we're continuing to offer extremely compelling vehicle financing options in When you compare any vehicle in our lineup with other OEMs, we believe our vehicles provide much better value, particularly when you consider the safety features, performance and unparalleled software functionalities, like David also talked about, include also what Ashok had talked about around autonomy, music options, parental controls, and much more. While every vehicle in our lineup comes up with these capabilities, there is an awareness gap not just with buyers but at times even with existing owners. We plan on making these more visible in our interactions with both existing and future customers. Automotive margins improved quarter over quarter as a result of a feature release discussed before.
Increase in our overall production and delivery volume, benefit from the marketing pricing and more localized deliveries in region, which resulted in lower freight and duties. Sustaining these margins in Q4, however, will be challenging, given the current economic environment. Note that we are focused on the cost per vehicle, and there are numerous work streams within the company to squeeze out cost without compromising on customer experience.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. I'm assuming that's a helpful -- hopefully, a helpful macro trend is if there's a decline in interest rates. This has a massive effect on the automotive demand because the vast majority of people is -- the demand is driven by the monthly payment. Can they afford monthly payment? So, most likely, we'll see continued decline in interest rates, which helps with affordability of vehicles.
Vaibhav Taneja -- Chief Financial Officer
Yeah. I mean, that is one trend which we observed in the industry that's, because of the affordability, being impacted because of interest rates. People are holding on to their cars longer, especially in the U.S. And that is actually having an impact on the overall industry, too.
As we discussed earlier, as we discussed in back orders, energy deployments fluctuate quarter on quarter due to customer readiness, location of orders being fulfilled, and not necessarily an indicator of demand of production within the quarter. While we did see a decline in Q3, we expect to grow deployment sequentially in Q4 to end the year with more than double of last year. Energy margins in Q3 were a record at more than 30%. This is a function of mix of projects being deployed in the quarter.
Note that there will be fluctuation in margins as we manage through deployments and our inventory. Our pipeline and backlog continue to grow quarter over quarter as we fill our 2025 production slots, and we are doing our best to keep up with the demand. Just coming back on automotive margins. I talked about -- sorry, I talked about what is happening.
One other thing which I want to also share is that we're seeing -- that we will continue to keep whatever we can to, like I said before, about squeezing of the cost. But this is something which we also are very capable of. I mean, just in Q3, we faced our lowest cost per vehicle, and that is a trend which we want to keep focused on. Then going on to service and other.
We continue to show improvements in Q3. This was a result of better performance, both in our service as well as it includes collision, part sales, and merchandise and continued growth in supercharging. These fee-based revenues will continue to grow as the overall fleet size increases. Our operating expenses declined quarter over quarter and on year-on-year basis.
This is partially due to the restructuring we undertook in Q2. Cost savings from these initiatives were partially offset by increase in costs related to our AI efforts. We've started using the GPU cluster based out of our factory house and ahead of schedule and are on track to get 50,000 GPUs deployed in Texas by the end of this month. One thing which I'd like to elaborate is that we're being really judicious on our AI compute spend to and saying how best we can utilize the existing infrastructure before making further investments.
On the capex front, we had about $3.5 billion in the quarter. This was a sequential increase largely because of investments in AI compute. We now expect our capex for the year to be in excess of $11 billion. We shared our vision for the future at the event at the beginning of the month.
The Tesla team is hyper-focused on delivering on that version. All efforts are underway to make it a reality. While we've achieved significant progress this year, it will take time to get this as we find new and incredibly complex technologies and navigate a fragmented regulatory landscape. The future is incredibly bright, and I want to thank the Tesla team once again for all their help.
Travis Axelrod -- Head of Investor Relations
Great. Thank you very much, Vaibhav. Now, we'll go to investor questions. The first one is, is Tesla still on track to deliver the more affordable model next year, as mentioned by Elon earlier? And how does it align with your AI and product road map?
Unknown speaker -- -- Analyst
Sure. I mean, as Elon and Vaibhav both said, we are on plan to meet that in the first half of next year. Ambition has always been to lower the cost of our vehicles to increase the adoption of sustainable energy and transport. Part of that is lowering the cost of our current vehicles, which is where all of the personally owned vehicles that we sell today come in.
But the next stage in that, really as it fits into AI road map, is when we bring in robotaxis, which lowers the initial cost of getting into an EV -- and those -- that's really where we see the marriage of EV road map and the AI road map.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. It will be like with incentive. So, 30K, which is kind of a key threshold.
Travis Axelrod -- Head of Investor Relations
Great. Thank you very much. Similar question next. When can we expect Tesla to give us the $25,000 non-robotaxi regular car model?
Elon Reeve Musk -- Chief Executive Officer and Product Architect
We're not breaking it on --
Unknown speaker -- -- Analyst
Yeah, all our vehicles today are --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
So, I think we've made very clear that we're -- the future is autonomous. I mean, it's going to be -- I've actually said this many years ago, but that in my strong belief and I believe that is panning out to be true, very obvious retrospect is that the future is autonomous electric vehicles. And nonautonomous gasoline vehicles here will be like riding a horse and using a foot bone. It's not that there are no horses.
Yes, there are some but they're unusual. They're niche. And so, everything is going to be electric autonomous. I think this is like it should be, frankly, blindingly obvious at this point, that is the future.
So, a lot of automotive companies, most of the companies have not internalized this, which is surprising because we're shouting from the rooftops for such a long time. And it will accrue to their detriments in the future. But all of our vehicles in the future will be autonomous. Yes.
So, all the vehicles that we've really made, almost 7 million vehicles, the vast majority are capable of autonomy. And we're currently making on the order of 35,000 autonomous vehicles a week. Compare that to, say, Waymo's entire fleet, it's less than -- they have less than 1,000 cars. We're making 35K a week.
Unknown speaker -- -- Analyst
Yeah. And our cars look normal.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah, they mostly look normal. The Cybertruck looks, thankfully, abnormal. And the Cybercab, robotaxi, we wanted to have something futuristic-looking, and I think it does look futuristic. It's worth noting, with respect to the Cybercab, it's not -- it's especially not just a revolutionary vehicle design but a revolution in vehicle manufacturing that was also coming with the Cybercab.
The cycle times, like the units per hour of the Cybercab line, it is -- like this is just really something special. I mean, this is -- will be half order of magnitude better than other car manufacturing lines, like -- not even the same league is what I'm saying, not in the same league. So, it's -- and I said like several years ago that maybe the most -- the hottest Tesla product probably will be the battery. You can't just, like, buy a factory.
Unknown speaker -- -- Analyst
Yes, you can't reverse engineer a factory.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. It's like, you know, [Inaudible]. Yeah. And as we -- so we're rapidly evolving our manufacturing technology.
So, anyway, basically, I think having a regular 25K model is pointless. It would be silly. Like it would be completely at odds with what we believe.
Unknown speaker -- -- Analyst
In autonomous world, what matters is lowest cost per mile of efficiency of that vehicle. And that's what we've done with the robotaxi.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Exactly. Its fully considered cost per mile is what matters. And if you try to make a car that is essentially a hybrid, manual, automatic car, it's not going to be as good as a dedicated autonomous car. So, yes, Cybercab is just not going to have steering wheels and pedals.
What we designed is optimized for autonomy. It will cost on the order of -- cost roughly 25K, so it is a 25K car. And you can -- you will be able to buy one exclusively if you want. So, it just won't have steering wheels and pedals.
You don't need it.
Travis Axelrod -- Head of Investor Relations
Great. Thank you very much. The next question is, what is Tesla doing to alleviate long wait times at service centers?
Unknown speaker -- -- Analyst
So, we aim on solving problems at the source, so at the factory, before they can even affect our customers. We believe the best service is no service. And don't even have the --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
The car doesn't break.
Unknown speaker -- -- Analyst
Yeah, exactly.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
That's the best thing.
Unknown speaker -- -- Analyst
We don't see any with the test. You either do it -- fix the issue upstream, or you would remotely do it through software, maybe at work or at home or carpark. And we've addressed the fixed issue. And we've partnered the field with service to make sure we're looking at the same issues.
And additionally, just in Q3 and Q4 of this year alone, we have opened and will open in total of nearly 70 locations. And in North America, we significantly expanded the size of each location and have doubled the size last year compared to this year.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. I think it was like actually a lot of merit of having large service centers because you can have specialization of labor. You can start your approach -- yeah, it should be more factory-like where you can have dedicated lanes for particular types of service. And it's way easier for somebody to become expert in a few different types of repairs than in every repair.
Unknown speaker -- -- Analyst
Exactly. This has helped us with the base that the heavy repairs, like, the dedicated lanes for different type of repairs. And so, it's through really treating it like a factory.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. This is where a Tesla structure, I think, a strong advantage relative to the rest of the auto industry because we make the cars and we service the cars, whereas I think there's a bit of a conflict of interest with the dealer model and the traditional OEM and dealer model where the dealerships make most of their money on service. And so, they don't -- they obviously assistance to reduce the servicing cost, whereas in our case, we are incented to reduce the service and cost because we carry that servicing cost. And we've got good feedback with our cars.
Unknown speaker -- -- Analyst
Yes. With the factory, with the service leaders together, it's sent people from the factors that feel you feel for the factory to see it firsthand by suggestions for manufacturing as well as for engineering on design.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. So, I view this as a structural -- a fundamental structural advantage of Tesla versus the rest of the auto industry.
Unknown speaker -- -- Analyst
Doing a bunch of work on the software side to omni diagnostics, identifying what needs to be done to before it comes into service, but also automating all of the preparation work and aligning all the resources that are necessary in order for the car be very efficiently worked on once it arrives. So, the parts are there, like the lift is scheduled, the technician schedule, like everything do this was wrong with me and tell the service center the carnage and everything.
Everything ready in advance.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah, please fix me. And this is what's wrong.
Unknown speaker -- -- Analyst
Yeah. Instead of a customer trying to translate, the car is telling us directly, and we're pulling that.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. Most the time, you don't need to diagnose the car when it arrives. The car -- this is like, again, a fundamental technology advantage and structural advantage compared to the rest of the auto industry.
Vaibhav Taneja -- Chief Financial Officer
I think it's underappreciated as to what all we are able to do. And that's why -- because like I said before, most of our cars, except for Cybertruck, look the same, so people don't realize that it has so much capability.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
But they look better than other cars, but they're not like obviously super futuristic.
Travis Axelrod -- Head of Investor Relations
Great. Thank you very much. The next question is, please provide an update on the Semi. What will the next stage growth look like and when will FSD be ready?
Unknown speaker -- -- Analyst
Sure. So, as you -- we posted in the earnings we're progressing swiftly on the build of the Semi factory, our data factory in Reno. We've released all our major cash flow expenditures for that program, and we're on track to start pilot builds in the second half of next year with production starting in the first half of 2026 and ramping really throughout the year to full production. Semi growth will largely depend on our customers' adoption of the product.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Well, I don't think we're going to be limited, honestly.
Unknown speaker -- -- Analyst
Which I can say -- which is like a no-brainer for the Semi because it's really a commodity of total cost of ownership.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes, exactly. We have kind of ridiculous demand for the Semi.
Unknown speaker -- -- Analyst
In that world where it's about how much do I spend to go to excess lanes per mile, it's a no brainer.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. Fundamentally, if you've got a Semi, the fully considered cost per mile per ton of transport is better than a diesel truck. Any company that doesn't adopt an electric Semi will lose. It's not a subjective thing.
It's like whether do you like just competitive -- we want the stat -- we want to have a good old Semi truck. But frankly, if we made a good old Semi truck, would it matter?
Unknown speaker -- -- Analyst
And this is proving so in our fleets, in Pepsi's Partner. In fact, the Pepsi actually said last week, they're having -- nobody wants -- their drivers don't want to go back.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. As soon as we gave anyone the electric Semi, that's like the choice.
Unknown speaker -- -- Analyst
It's what they want to drive.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. That's like -- so the more senior, like their top drivers will -- they get to drive a Tesla Semi. It's the thing they want to drive. It's super fun to drive.
Unknown speaker -- -- Analyst
It's also very easy to drive.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
It's easy to drive and it hauls ass. And it's like fast.
Unknown speaker -- -- Analyst
Super fast, maybe too fast.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Well -- but I mean, like you've seen like the videos that were like the -- like Tesla Electric Semi can go uphill, just speeding fast like the diesel truck or even cars. So, like it's responsive. It's -- you floor it, and that truck actually hurt.
Unknown speaker -- -- Analyst
And that's a benefit not only for the driver and for the goods, but also for safety in terms of other drivers on the road. You don't get stuck behind the Semi, you're not like in a slowdown situation in the -- I mean how that plays into FSD, which is the second part of the question, all of this is have been a couple of hundred we've deployed already and the ones that we'll be building next year and throughout the future, how all of the Hardware and the camera is necessary to deploy FSD and we're currently training with that small we have. And as soon as the fleet is trained and the neural that there up, we'll get FSD onto that platform.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. I mean, it'd be a massive improvement in driver fatigue because -- and driver safety. We've got sort of the anti-jack knifing software. You don't have to worry about your brakes overheating if you go down a steep hill because we generating that energy goes back and into the pack.
It's just like -- it's like radically better than a diesel is what the drivers love it.
Travis Axelrod -- Head of Investor Relations
Great. guys. Thank you very much. Our next question is when will Tesla incorporate X and Grok in all Tesla vehicles?
Elon Reeve Musk -- Chief Executive Officer and Product Architect
I mean, these are relatively small things. But yes, I think we'll keep expanding what is available in the car on the screen. And also improving like the browser so like just generally, you can access anything you want in the car. In fact, for the Tesla, once you get to full autonomy, you actually want fully a system that is -- can do anything.
Like if you want to browse the Internet, if you want to ask AI questions, if you want to watch a movie, if you want to play a video game, if you wanted to do some productivity thing, you can do anything you want in an autonomous vehicle because you don't need to drive. So, that's why Cybercab's got a nice big screen and a great sound system. So, you can watch it, watch you're moving with. It's like being in a personal movie theater.
Unknown speaker -- -- Analyst
Yes, this is why we've been building this functionality. I think gaming to the car, adding and other -- all sorts of different media applications of the car because that's what you're going to -- that's, yes, the cars that will be built today.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
There's some fun games, by the way. People haven't tried it. There's like Castle Doombad and Polatopia and a bunch of really fun games in the car.
Unknown speaker -- -- Analyst
We're constantly looking at what features to add next and we're paying attention to what's most commonly requested by our customers.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. Play Castle Castle Doombad. You want --
Travis Axelrod -- Head of Investor Relations
Great. Thank you, guys, very much. The next question is, Elon mentioned unsupervised FSD in California and Texas next year. Does that mean regulators have agreed to it in the entire state for existing Hardware 3 and 4 vehicles?
Elon Reeve Musk -- Chief Executive Officer and Product Architect
As I said earlier, California loves regulation.
Unknown speaker -- -- Analyst
But they have a pathway.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. I mean, there's a pathway. Obviously, Waymo operates in California so there's just a lot of forms and a lot of approvals that are required. I mean, I'd be shocked if we don't get approved next year, but it's just not something we totally control.
But I think we will get approval next year in California and Texas. And toward the Bay Area, branch out beyond California and Texas.
Unknown speaker -- -- Analyst
I mean, I think it's important to reiterate this like on our certifying a vehicle at the federal level in the U.S. is done by meeting FMVSS regulations. Our vehicles today that are produced there capable to meet all those regulations, the Cybercab regulations. And so, the deployment of the vehicle to the road is no limitation, but its limitation is what you said at the state level where they control autonomous vehicle deployment.
Some states are relatively easy, as you mentioned, for Texas. It's other ones have always like California that may take a little longer. The other ones hadn't set up anything yet. And so, we will work on those state by state in the.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
I do think we should have a federal. Like autonomous vehicles should be approved. It should be possible to.
Unknown speaker -- -- Analyst
Congress, if you're listening, let's get the federal AV --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
There should be a federal approval process for autonomous vehicles. I mean, that's how the FMVSS has started to work, Federal Motor Vehicle. F and S is Federal --
Unknown speaker -- -- Analyst
Yeah. So, I mean, in 2017 and '18 is when the regulators started looking at it, and it's really kind of stalled since then, but we would appreciate and would support helping out with those regulators.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
It really needs to be -- like a national approval is important. There's a partner of government efficiency, I'll try to help make that moving. And it took for every one, not just Tesla. But just like some things in the U.S.
are state-by-state regulated like, for example, insurance, like incredibly to do it state by state for 50 states. And I think we should have this national approval process for autonomy.
Travis Axelrod -- Head of Investor Relations
Great. Thanks, guys. The next question is, what is the plan for 2025?
Ashok Elluswamy -- Director, Autopilot Software
I mean, basically, we talked through this. There's a lot going on. Elon already mentioned that we're working on cheaper models to come out. I mean, there are work which the team is doing to get the factories ready today to try and make that happen on --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
And by the way, the amount of work we're required to make a lower-cost car is insanely high. But like it is harder to get like 20% of the cost out of a car than it is to design the car and build an entire factory in the first place. It's like excruciating. And there's not a lot of movies made about the heroes who got 20% of the cost out of a car.
But let me tell you, there should be little doubt that it's incredibly heroic.
Unknown speaker -- -- Analyst
It's the little change, isn't it? It's not like it's still --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. It's like there should be the heroes who got 20% cost out of the cars. It's like damn, I have a lot of respect for them. I think you probably could make a compelling movie, but it just -- like if you actually saw how hard -- if people actually saw how hard it was to do that, you'd be like, wow, that's damn hard.
Unknown speaker -- -- Analyst
Just yesterday, we were talking about --
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. I mean, honestly, literally. Yeah. I mean, there's a lot of -- when I do go sort of like getting cost out of things, it's kind of like -- it's like Game of Penny.
So, it's like Game of Thrones but pennies. First approximation, if you've got 10,000 items in a car, very rough approximation, and each of them cost $4, then you have a $40,000 car. So, if you want to make a $35,000 car, you're going to get $0.50 on average out of the 10,000 items.
Unknown speaker -- -- Analyst
Every time, every part.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. It's like -- and then obviously, the best is to lead some parts. The able to leave a lot of parts. I'm very excited about the Cybercab design and the -- how we're rethinking the design of a car from the Cybercab.
Designing it while also have volume production and then design a machine that the machine that I think is also revolutionary. And it's just -- there's no other car company that's even trying to do what we're doing, like uneven heard of actually. In fact, I'm certain there isn't one. Like I think the new machine that builds the machine, it's inherent like it's -- it's designed to be like five times better than traditional factory, like cycle time --
Unknown speaker -- -- Analyst
Cycle time and like part deletion. I don't think any other car company has the same level of like integration of thought that we have when it comes to like when you design a part from a paper, who's going to make it? Where is it going to be made? How is it going to be shipped? How is it going to be assembled into the vehicle? At any one point if something is done in the silo, it becomes a bottleneck of either cost or time or efficiency, but with the robotaxi development, like we've done a good job on the combining all that and then like blowing up how it's made and saying it should be made this way and rethinking it also that it's the most efficient factory possible. That shows our -- it will see our capex efficiency when we deploy it shows in the number of parts, simplicity of vehicle but also help performance in terms of like end user state.
Vaibhav Taneja -- Chief Financial Officer
Yeah. Just to close out, just on the emerging front also in '25, we will have started manufacturing of car. We'll continue to increase our storage deployments with Powerwall 3. We plan to continue expanding our supercharging network, getting more OEMs on our network, 4680 that as Elon talked about, that would keep going.
And then also we'll have our lithium refinery starting to produce. So, there's a lot which is going on.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes, so many things. Like crazy thing is like Tesla is winning basically on almost every single thing we're doing. If we're not running now, we're in a where their entire large companies, that's the only thing they do.
Vaibhav Taneja -- Chief Financial Officer
Yes. I mean, it's a company -- there are multiple companies within the company.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yes. Tesla's like many companies in one.
Travis Axelrod -- Head of Investor Relations
Yes. Guys, just a few more. What is going on with the Tesla Roadster?
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Some things. Well, I just thought to go back to our long-suffering deposit holders of the Tesla Roadster. The reason it hasn't come out yet is because it is -- Roadster is not just icing on the cake, it's the cherry on the icing on the cake. And so, our larger mission is to accelerate the progress toward a sustainable energy future, trying to do things that maximize probably the future is good for humanity and for Earth.
And so, that necessarily means that like the things like that are deserved. We'd like -- we'd all love to work on the Tesla -- next-gen -- it is super fun. And we are working on it, but it has to come behind the more things that have a more serious impact on the of the world. So, just thank you to all our long-suffering Tesla Roadster deposit holders.
And we are actually finally making progress on that. And we're close to finalizing the design on it. It's really going to be something spectacular. You know, a friend of mine, Peter Thiel, we're really good friends.
Peter was lamenting how the future doesn't have flying cars. Well, we'll see. More to come.
Travis Axelrod -- Head of Investor Relations
Yes. The next one is quite similar to other questions you've had. So, when I combine it with the final question. So, briefly, could you just detail how Robotaxi will roll out? Will it start with a Tesla deployed fleet and then allow customers to add theirs on the subscription model, and then will Hardware 3 be capable of this?
Ashok Elluswamy -- Director, Autopilot Software
Regarding the Hardware 3, what we saw with was, it was easier to make a progress with starting with Hardware 4 and on the solution and backporting to Hardware 3 instead of directly working on Hardware 3 given that Hardware 4 was more like fundamental Hardware capabilities. I think that trend will continue into the next few quarters as well. But we first figured the solution rapidly with Hardware 4 and then backward it, right? And it just takes longer to drop those things because it's not fundamentally supported in the hardware, and it's emulated. But yes, initially working on Hardware 4, backwarding it to Hardware 3.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. So, answer is we're not 100% sure, but as Ashok mentioned, because by some measure, Hardware 4 has really several times the capability of Hardware 3. It's easier to get things to work with then it takes a lot of effort to sort of squeeze that functionality into Hardware 3. And there is some chance that Hardware 3 is -- does not achieve the safety level that allows for unsupervised FSD.
There is some chance of that. And if that turns out to be the case, we will upgrade those group bought Hardware 3 FSD for free. And we have designed the system to be upgradeable so it's really just to sort of switch out the computer thing, the camera, the cameras are capable. But we don't actually know the answers of that.
But if it does turn out, we'll make sure we take care of those who -- whatever's the number three.
Travis Axelrod -- Head of Investor Relations
Great. And in the last few minutes that we have left, we will try to get in some analyst questions. The first question will be coming from Pierre Ferragu at New Street. Pierre, please feel free to unmute yourself.
Pierre Ferragu -- Analyst
Thanks for that, guys, for taking my question. I was wondering about like the compute you're ramping up. So, you gave like interesting statistics on how much you have and you said you don't feel your compute constrained. And I was wondering how you are putting to work this additional compute.
Is that a game for you of creating like larger and larger models like next generation of models that are larger the way OpenAI go from GPT-3 to GPT-4? Or is that more like you're set on your model, and you need to throw more and more compute to accelerate the pace of learning to improve reliability. And then I had a quick follow-up real quick on your rollout in Texas and in California next year. The plan, as you see today, is it to roll out like a fleet or two with cars that will start with like a supervisory like some onboard supervision, someone sitting at the wheel just in case and removing the supervisors progressively? Or are you aiming for going fully fledged without even a human supervisor when you get started?
Elon Reeve Musk -- Chief Executive Officer and Product Architect
OK. Well, I guess regarding -- the first part of the question, The nature of real-world AI is different from LLM in that you have a massive amount of context. So, like the -- you've got a case of Tesla 7 or 8 cameras that [Inaudible], if you include the internal camera that -- so you've got some context. And that is then distilled down into a small number of control outputs, whereas it's like it's very rare to have, in fact, I'm not sure any LLM out there can do gigabytes of context.
And then you've got to then process that in the car with a very small amount of compute power. So, it's all doable and it's happening, but it is a different problem than what, say, a Gemini or OpenAI is doing. And now part of the way you can make up for the fact that the inference computer is quite small. It is by spending a lot of effort on training.
And just like a human the way you train on something, the less metal work takes when you try to -- when you do it, like when the first time like a driving it absolves your whole mind. But then as you train more and more on driving different than the driving becomes a background task. It doesn't -- it only solves a small amount of your mental capacity because you have a lot of training. So, we can make up for the fact that the insurance computers -- it's tiny compared to a 10-kilowatt bank of GPUs because you've got a few hundred watts of inference compute.
We can make up that with heavy training. So, yes, that's -- and then there's also vast amounts to the actual petabytes of data coming in tremendous. And then sorting out what training is important of the vast amounts of video training video data coming complete what is actually most important for trading. That's quite difficult.
But as I said, we're not currently training compute constraint. But I don't know if you want to elaborate --
Ashok Elluswamy -- Director, Autopilot Software
Yeah. Like you mentioned, the training has both kind of large models, also get trained quicker. But in the end, we still got to take which models are performing better. So, the validation network to picking the models because as mentioned this pretty large.
We had to drive a lot of miles going close to. We do have simulation and other ways to get those metrics. Those two help, but in the end, that's a big bottleneck. That's why we're not trying to compete constraint alone.
And there's other access of scaling as well, which is a data figuring out which data is more useful. Um, that is an important task. And we're focusing on that.
Unknown speaker -- -- Analyst
Yeah. That's right. So, as it relates to the second part of your question, Pierre, about safety drivers and rolling it out. Each state has different requirements in terms of how many miles and how much time you need to have a safety driver and not have a safety driver.
We're not going to violate whatever regulations are out there. But safety is a priority. But the goal is obviously at -- when we're ready and safety is there, we'll address from the rideshare part.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. I mean, I guess like we think that we'll be able to have driverless Teslas doing paid rides next year, sometime next year.
Travis Axelrod -- Head of Investor Relations
Thank you. And our next question comes from Adam Jonas at Morgan Stanley. Adam, please feel free to unmute yourself.
Adam Jonas -- Analyst
OK. Thanks, everybody. I just had a question about the relationship between Tesla and xAI. Many investors are still not clear how the work at xAI is truly beneficial to Tesla.
Some even take the view that the two companies may even be in competition with each other in terms of talent and tech and even your time, Elon. So, what's your message to investors on that relationship between Tesla and xAI? And where do you see it going over time? Thanks.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Well, I should say that xAI has been helpful to Tesla AI quite a few times in terms of things like scaling it, bought it, like training, just even like recently in the last week or so, improvements in training, where if you're doing a big training one and it fails, be able to continue training and is to recover from a training on has been pretty helpful. But there are different problems. xAI actually is working on artificial general intelligence or artificial super intelligence. Tesla's autonomous cars and autonomous robots.
There are different problems. So, yeah, I mean --
Ashok Elluswamy -- Director, Autopilot Software
I think we've said this before also, like not all AI is equal, right? I mean, AI is a broad spectrum. And we have our also in lets Yes, there are certain things which we can collaborate on if needed. But for the most part, we're solving different issues.
Elon Reeve Musk -- Chief Executive Officer and Product Architect
Yeah. Tesla is focused on real-world data. And as I said, it is quite a bit different from -- but you have massive context in the board video and some amount of audio, that's going to be instilled like extremely efficient inference compute. I do think Tesla is the most efficient in the world in terms of inference compute like because of necessity, we have to be very good at efficient firms.
We can't put 10 kilowatts of GPUs in a car. We've got a couple of hundred watts. And it's pretty well-designed Tesla AI chip, but it's still a couple under. But there are different problems.
I mean, this to that ad is like we just running in burns. I mean, it is running in question, just answering questions on a 10-kilowatt rank. It's like put that in a car. It's a different pole.
No, exactly. So, AI is because I felt there wasn't there wasn't a truth-seeking digital super intelligence company out there, like that's what it came down to. They needed to be a true set like an AI company that is very reversed about make. I'm not saying xAI is perfect but that is at least the elaboration even if something is corrected would still be fruitful.
I think this is very important for. So, I think -- and I will -- it has been helpful to Tesla and will continue to be helped to Tesla, but they are very different problems. And as in like what is -- like what other cloud company has a world-class chip design team? Like zero. What other cloud company has a world-class AI team like Tesla does? Zero.
Those were all start-ups that greater or scratch.
Travis Axelrod -- Head of Investor Relations
Great. Thank you, Elon. And I think that's, unfortunately, all the time that we have for today. We appreciate all your questions, and we look forward to hearing from you next quarter.
Thank you very much, and goodbye.