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RE: LeoThread 2024-08-08 10:49

in LeoFinance3 months ago

Here is the daily technology #threadcast for 8/8/24. We aim to educate people about this crucial area along with providing information of what is taking place.

Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.

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Does Leo shorts have to be original videos ?

It can be whatever you want.

Including Ai generated videos?

Nothing can stop you from posting that on here. It is a thread. Of course, you will have to get very short videos since anything over a minute doesnt go through.

The Guardian: Dirty talk: how AI is being used in the bedroom – and beyond

Analysis of more than 200,000 chatbot conversations shows how the new tech is actually being used. Turns out quite a lot of it is ‘racy role play’ ...



https://www.theguardian.com/technology/article/2024/aug/07/dirty-talk-how-ai-is-being-used-in-the-bedroom-and-beyond

Now there is privacy for you.

Chatbots as sex aids. It is no surprise.

Well, I have access to real-life sex, and it seems to be more fun to me ;)

I guess it depends upon who the other one is.

There are some who are as interesting as doing the dishes.

I am a lucky man ;)

Just wait until text to video or voice to video get better. Then imagine what people will be doing with it in the bedroom.

I'd prefer not to imagine everything ;)

I am sure you can find it online so you dont have to imagine. LOL

Drones got a lot of attention about 5 years ago but kind of faded. Maybe they are starting to get hyped again.

In Switzerland, it actually makes sense - they're rich enough to invest in them, and yet there are secluded and remote places to serve them with.

Yeah it could be. I will have to dive into your articles. There are a lot of commercial use cases for them.

They use then in aviation for inspections and such.

And deliveries mainly.

Havent seen them for deliveries much although there was some testing with medical supplies here in the states.

Reuters: Mass YouTube outage reported in Russia amid escalating official criticism



https://www.reuters.com/world/europe/thousands-youtube-outages-reported-russia-2024-08-08/

Not as upset as when Desperate Housewives went off the air.

So that's your taste? I see :)

Not really. I havent done reality TV since the OJ Bronco chase scene.

But for some reason it is huge.

Actually I use to watch a show called Monster House.

A reality show staring Bradley and his own house I assume.

No quite although that would be a massive remake.

Streamed on Inleo :)

Reuters: World's largest 3D-printed neighborhood nears completion in Texas



https://www.reuters.com/world/us/worlds-largest-3d-printed-neighborhood-nears-completion-texas-2024-08-08/

Another #technology that was hyped a great deal, especially for construction, a few years ago. I will have to start following that a bit closer.

I've seen houses buit printed by this technology. Let's see how can they handle real life using, and sometimes quite harsh weather.

I skipped across something, didnt read the article, that headlined some were not holding up so well a few years later.

Didnt dive into it so dont know what the claim was or how much validity to it.

BBC: First gene-editing therapy may cure blood disorder


https://www.bbc.com/news/articles/c4gzldll44lo

Bio-tech is going to explode over the next 20 years. My guess is we see a trend line similar to what we saw with compute over the last 40.

I hope the outcomes of it will not explode anywhere near me :))

It could get messy.

Wired: Inside the Dark World of Doxing for Profit

From tricking companies into handing over victims’ personal data to offering violence as a service, the online doxing ecosystem is not just still a problem—it’s getting more extreme.



https://www.wired.com/story/doxing-extortion-violence-as-service/

Is it because the criminals are so smart or because the ones at these companies are just asleep?

I bet on the latter.

CNBC: Amazon’s $4 billion investment in AI firm Anthropic faces UK merger investigation



https://www.cnbc.com/2024/08/08/amazons-investment-in-ai-firm-anthropic-faces-uk-merger-investigation.html

The European countries love their regulation and constraints.

CNBC: Apple could charge up to $20 for some Apple Intelligence AI features, analysts say



https://www.cnbc.com/2024/08/08/apple-could-charge-20-for-some-apple-intelligence-features-analysts.html

A big tech company charging for a feature? No surprise. They excel at leveraging their customers.

There is a reason why Apple has a market cap of $3 trillion or whatever it is.

Well, Inleo too charges for features ;)

Sophia the robot is fascinating, but should we worry if robots start thinking for themselves? Are we ready for that? #cent #askleo #freecompliments

it is gonna be wild, but I don't want them to get to that level of thinking for themselves.

yes me too friend

Are you afraid, they'd turn against humans?

It is going far beyond Sophia actually. That is a rather old prototype.

Look at the latest video by Figure. It is rather impressive for a version 2. What happens when they are to version 5?

Top 10 NEW Humanoid Robots For 2024 (Tesla, Figure 01, Agility, Boston Dynamics and More)

#technology

Nvidia's New Computer Has Released A Terrifying WARNING To The Entire Industry!

#technology

Future Technology | 60 Minutes Marathon

#technology

From Industrial Giants to Humanoid Helpers: Highlights of ICRA 2024 | Technology news | PRO Robots

#technology

Any latest tech news 🗞️?

A lot. What would you like to know about?

New AI-Powered Humanoid Robot Just Dropped: Meet Figure 02

#ai #technology #robot

Impressive update by Figure. I wonder when Tesla will push the latest video demonstration of Optimus.

Speaking of Optimus, I only remember Transformers hehehe... Good franchise.

LOL I meant this.

It's true, I had forgotten hahaha...

It seems that next year these robots will already be working inside the factory. They will then be available on the market.

Until then, I hope the price is affordable, I would love to have a robot like that in my home.

I posted an article about a dark factory in China. It is in the #technology blog. Check it out.

It is Musk's own desire to be able to produce millions of units of this robot by 2027.

In my opinion, it will be quite common in people's homes by 2030

I am not sure his targets, if he even released them yet. He did mention some potentials.

Not by 2030 is my guess. Most of these first bots will go into factories and industry. My estimate is 2035 you will see them in the homes in some form.

I had read somewhere about these numbers.

They may be late getting home, but they're sure it won't be long before they get to the factories.

I had a tech conversation with Claude last night. I will post it in here later today.

I would love to know what you talked about.

It was about #technology stuff. As I said, I will post it here.

Who is CLaude?

He is the offspring of Antropic.

Claude3.

Techstars is laying off 17%, ending its J.P. Morgan-backed programs

Techstars is cutting 17% of its staff and will end its $80 million J.P. Morgan-backed AdvancingCities program once the fund is completely deployed.

Techstars is laying off 17% of its workforce and will end its $80 million J.P. Morgan-backed AdvancingCities program once the fund is completely deployed at the end of this year, TechCrunch has learned.

#newsonleo #technology #jpmorgan #startup

Cryptocurrencies resume their rebound, bitcoin retakes $59,000

Cryptocurrencies resumed their rebound from their big sell-off earlier in the week, with bitcoin retaking $59,000.

Cryptocurrencies resumed their rebound from their big sell-off earlier in the week, with bitcoin retaking $59,000.

The price of the flagship cryptocurrency was last higher by 8% at $59,385.40, according to Coin Metrics, rising above the $55,000 floor that has supported it for much of this year.

Ether advanced nearly 10% to $2,584.10, after leading declines in cryptocurrencies and related stocks Wednesday. Both coins are still on pace for weekly losses.

#crypto #newsonleo #bitcoin

My chat with Claude3:

What is the potential of generative AI?

#technology #ai

Generative AI has significant potential across many domains:

  1. Content creation: It can assist in writing, art, music, and video production, potentially streamlining creative processes.

  2. Software development: AI can help generate code, debug programs, and accelerate software development cycles.

  3. Scientific research: It may aid in hypothesis generation, data analysis, and even drug discovery.

  4. Education: Personalized learning experiences and intelligent tutoring systems could be enhanced.

  5. Business: AI could optimize operations, improve customer service, and aid in strategic decision-making.

  6. Healthcare: It may assist in diagnosis, treatment planning, and drug development.

  1. Language: Improved translation services and language learning tools are possible.

  2. Design and engineering: AI could help in product design, architecture, and engineering simulations.

  3. Environmental solutions: It may contribute to climate modeling and developing sustainable technologies.

  4. Entertainment: New forms of interactive and personalized entertainment experiences could emerge.

However, it's important to note that generative AI also presents challenges, including ethical concerns, potential job displacement, and the need for responsible development and use. The full impact and potential of this technology are still unfolding.

Focus upon content creation. What is the impact of this on traditional media companies?

The impact of generative AI on content creation poses significant challenges and opportunities for traditional media companies:

  1. Disruption of existing models:
  • AI can rapidly produce articles, scripts, and basic video content, potentially reducing the need for human writers and creators in certain areas.
  • This could lead to cost savings but also job losses in creative departments.
  1. Increased competition:
  • Lower barriers to entry may allow new, AI-driven media startups to compete more effectively with established companies.
  • Individual creators using AI tools might be able to produce content at a scale previously only possible for larger organizations.
  1. Content quality and originality:
  • While AI can generate large volumes of content quickly, there are ongoing debates about the quality, depth, and originality of AI-generated work.
  • Traditional media companies might differentiate themselves by emphasizing human-created, high-quality, original content.
  1. Shift in skill requirements:
  • Media professionals may need to develop new skills to effectively use and manage AI tools.
  • There could be increased demand for AI specialists and data scientists within media organizations.
  1. Personalization and targeting:
  • AI can help create highly personalized content, potentially allowing media companies to better engage audiences and increase ad revenue.
  • This could change how content is produced and distributed.
  1. Copyright and legal issues:
  • The use of AI in content creation raises complex copyright questions, particularly regarding training data and output ownership.
  • Traditional media companies may need to navigate new legal landscapes.
  1. Production efficiency:
  • AI tools could streamline various aspects of content production, from research to editing.
  • This might allow traditional media companies to produce more content with fewer resources.
  1. Audience engagement:
  • AI-powered chatbots and interactive content could change how media companies interact with their audiences.
  • This might lead to new forms of storytelling and audience participation.
  1. Fact-checking and misinformation:
  • While AI can help with fact-checking, it can also be used to create convincing misinformation.
  • Traditional media companies may need to invest more in verification processes to maintain credibility.
  1. Business model adaptation:
  • Media companies may need to rethink their revenue models, potentially focusing more on AI-enhanced services or data-driven products.
  • There could be opportunities for licensing AI models or selling AI-generated content.

These impacts suggest that traditional media companies will likely need to adapt significantly, potentially repositioning themselves in the market, investing in new technologies, and finding ways to blend AI capabilities with human expertise to remain competitive and relevant.

Where does the industry stand on text-to-video generative AI? What is the latest on this?

As of my last update in April 2024, text-to-video generative AI was an area of rapid development and significant interest. Here's an overview of where the industry stood:

  1. State of technology:
  • Text-to-video AI had made substantial progress, with several companies and research institutions developing increasingly sophisticated models.
  • The quality of generated videos was improving, with better coherence, longer durations, and more realistic visuals.
  1. Key players:
  • Major tech companies like Google, Meta, and Microsoft were investing heavily in this technology.
  • Startups such as Runway ML and Synthesia were also making significant contributions.
  1. Applications:
  • Content creation: Assisting in creating video content for social media, advertising, and entertainment.
  • Education: Generating explanatory videos from textual content.
  • Prototyping: Quickly visualizing ideas for filmmakers and advertisers.
  1. Limitations:
  • While improving, the technology still faced challenges in generating highly detailed or lengthy videos.
  • Maintaining consistency across longer video sequences remained a hurdle.
  1. Ethical and legal considerations:
  • Concerns about deepfakes and misinformation were prompting discussions about responsible use and potential regulation.
  • Copyright issues regarding the training data and generated content were being debated.
  1. Integration with other AI technologies:
  • There were efforts to combine text-to-video AI with natural language processing and speech synthesis for more comprehensive content generation.
  1. Accessibility:
  • Some tools were becoming available to the public, though often with limitations or in beta versions.
  1. Industry impact:
  • The film and advertising industries were beginning to explore how to integrate these tools into their workflows.

It's important to note that this field was evolving rapidly, and there may have been significant developments since my last update. I would encourage you to check the latest tech news and research publications for the most current information on text-to-video generative AI.

Why cant text to video do full length films? what is the hold up?

Text-to-video AI has not yet achieved the capability to create full-length films due to several significant challenges:

  1. Coherence and continuity:
  • Maintaining narrative consistency and visual coherence over a long duration (90+ minutes) is extremely complex.
  • Current AI models struggle to keep track of characters, settings, and plot elements across extended timeframes.
  1. Computational resources:
  • Generating high-quality video content requires immense computational power.
  • Scaling this up to feature-film length would demand enormous processing capacity and time.
  1. Contextual understanding:
  • AI still lacks deep understanding of complex narratives, character development, and nuanced storytelling elements crucial for full-length films.
  1. Visual quality and detail:
  • While improving, AI-generated visuals often lack the fine details and consistent quality expected in professional filmmaking.
  1. Audio and dialogue synchronization:
  • Coordinating lip movements with dialogue and generating consistent character voices over a full-length film remains challenging.
  1. Creative decision-making:
  • Filmmaking involves numerous artistic choices that AI currently can't replicate, such as camera angles, lighting, and emotional nuances in performances.
  1. Scene transitions and pacing:
  • Smoothly connecting scenes and maintaining appropriate pacing throughout a long narrative is a complex task for AI.
  1. Memory limitations:
  • Current AI models have limitations in "remembering" and maintaining consistency across long sequences of content.
  1. Training data:
  • There's a lack of suitable training data for full-length films, as each movie is unique in its structure and content.
  1. Artistic intent and human touch:
  • Films are often expressions of human creativity and emotion, which AI struggles to replicate authentically.

The primary "hold up" is the sheer complexity of creating a coherent, high-quality, feature-length narrative. While AI can generate short clips or assist in certain aspects of video production, the holistic task of creating a full film involves levels of creativity, consistency, and contextual understanding that current AI systems haven't mastered.

Progress is ongoing, and we may see AI taking on larger roles in film production or creating longer-form content in the future. However, it's likely that human creativity and oversight will remain crucial in the filmmaking process for the foreseeable future.

We have the impact of algorithmic progress with estimates that algorithms improve enough to cut compute times in half every 16 months. However, this was measured on ImageNet, where researchers are directly optimizing for reduced computation costs.

It seems less likely that researchers are doing as good a job at reducing computation costs for “training a transformative model”, and we can increase the halving time to 2-3 years, with a maximum of somewhere between 1-5 orders of magnitude

#technology #ai

Warner Bros. is OVER! CNN, Cartoon Network WRITTEN DOWN for $9 BILLION?!

Are you afraid of #ai? Do you think it is a threat?

What are you basing that one?

#technology

I can say that I have more positive expectations than negative when it comes to AI.

In my opinion, fear is irrelevant compared to what we can build and achieve with technological advancement with AI.

But I can't rule out the hypothesis that if we humans lose "control", Skynet will go from fiction to reality.

You still fear skynet? LOL

If, "if" something like this really exists, it won't just be me who will be afraid. LOL

But I don't think that will happen. We humans cannot fail like this one day.

What will it take to get to AGI? How long will it take to get there? And who is going to win the race?

These are all questions the #technology world is asking.

Firstly, what would be AGI?

Then I can say my thoughts.

Artificial General Intelligence.

Basically the point where AI would be better than humans at most things.

I understand now, thank you. It's curious to me, because I've never come across this type of acronym that could refer to AI in this way.

That's interesting.

AGI - Artificial General Intelligence
ASI - Artificial Super Intelligence (some will call this the singularity)
ANI - Artificial Narrow Intelligence

I even saved it here to research better.

Well done, Task. You are diving deep into the wonderful universe of AI.

We are witnessing great advances in several sectors with AI.

I don't think it will be long before we can perhaps one day be surpassed by artificial intelligence.

When it comes to calculations, we are already far surpassed by it. That is what people seem to overlook. There are many areas where it crushes us.

For many of these people, by the time they find out, they will already be very late.

Anduril raises $1.5B at a $14B valuation

Anduril raises $1.5 billion at a $14 billion valuation with the aim of transforming American defense production.

\Defense tech startup Anduril has closed what will almost certainly end up being one of the largest funding rounds of the year: a $1.5 billion deal that values the company at $14 billion.

Anduril has ambitions of becoming the next great American defense contractor, joining a class of companies that has shrunk to just five major firms: Lockheed Martin, RTX, Northrop Grumman, Boeing, and General Dynamics. These companies pull in billions in revenue from business with the U.S. Department of Defense, and their stranglehold on defense production is nearly absolute.

#technology #newsonleo

UK satellite startup Blue Skies Space wants to sell astronomy data 'as a service'

Blue Skies Space is to launch its first satellite in partnership with SpaceX, with plans to sell researchers astronomy data 'as a service'.

A U.K. space startup has revealed plans to launch its first satellite as part of SpaceX’s rideshare program, ushering in what it claims will be a “new era of space research,” where astronomy data is collected, packaged and sold “as a service.”

#newsonleo #technology #space #data

Bilingual dictation assistant Silvia understands 'Spanglish' and other language mixtures

Natural language AI assistants tend to be excellent English speakers, and passable in other tongues — but if you are one of the millions who fluidly

Natural language AI assistants tend to be excellent English speakers, and passable in other tongues — but if you are one of the millions who fluidly switch between two languages on the fly, they’re stumped. A new AI helper called Silvia, however, understands “Spanglish” just fine, with more language combos to come.

Indian conglomerate Reliance slashed over 42,000 jobs last financial year

Reliance, India's largest conglomerate, reduced its workforce by 11%, or more than 42,000 people, in the financial year ended March 2024.

The conglomerate also slowed hiring, bringing on board about 171,000 people in the financial year, lower than the around 263,000 people it hired a year earlier, according to its annual report. The company said more than 143,000 employees opted for “voluntary separations.”

#technology #india #reliance #jobs

Reuters: Palantir to deploy AI products on Microsoft Azure for U.S. government agencies



https://www.reuters.com/technology/palantir-deploy-ai-products-microsoft-azure-us-government-agencies-2024-08-08/

BBC: The real story of the news website accused of fuelling riots



https://www.bbc.com/news/articles/c5y38gjp4ygo

AI business agent startup Bardeen pulls in strategic investment from Dropbox and Hubspot

Bardeen has raised $3M to build its platform that uses a natural language interface to automate repetitive knowledge work.

Every day, employees across the world spend incalculable hours performing tediously repetitive tasks, such as, for example, converting documents into PDFs and then uploading them to a drive, from where it’s sucked into a database and emailed to a team. While UiPath helped pioneer this kind of ‘robotic’ process, it’s also pivoted to an AI-driven mode of operation, even as a number of startups (Signavio, Servicetrace, and others) have arrived, snapping at its heels.

#newsonleo #ai #bardeen #technology

YouTube is testing a feature that lets creators use Google Gemini to brainstorm video ideas

YouTube is testing an integration with Google Gemini to help creators brainstorm video ideas, titles and thumbnails.

YouTube is testing an integration with Google Gemini to help creators brainstorm video ideas, titles and thumbnails. The Google-owned company announced the launch of the new Brainstorm with Gemini feature in a video posted to its Creator Insider channel.

#newsonleo #youtube #googel #gemini #technology #ai

It is going to be important to understand the pace of technological advancement is to conclude where we will be in a decade or two.

I will dive into this in the coming days.

Another Hollywood hit.

Warnerbros Discovery had to take a write down of more than $11 billion. This came from their linear television which means the book and market value of these assets were way out of line.

Is Q* leaked as SUS-COLUMN-R? Did OpenAI achieve Level 2 or not? Strawberry might be rotten!

#ai #technology #openai #strawberry

AI That Connects the Digital and Physical Worlds | Anima Anandkumar | TED

#ai #technology

OpenAI's NEXT Advanced AI with Human-Level Intelligence 'STRAWBERRY' Soon

#technology #ai

NVIDIA Accelerating the Future of AI & Humanoid Robots

#nvidia #ai #technology #robot

Inside Mark Zuckerberg's AI Era | The Circuit

#technology #ai

AI, Machine Learning, Deep Learning and Generative AI Explained

#ai