Here is the daily technology #threadcast for 7/1/24. 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.
⚡️ NEWS ⚡️
Apple to begin mass production of AirPods with cameras by 2026
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Imagine your movements control your music. That's the future Apple is aiming for by 2026, with new AirPods equipped with infrared cameras. These aren't just any cameras. They'll sync up with Vision Pro and upcoming Apple Vision headsets to give you an amazing spatial audio experience. These AirPods will be able to detect changes in your surroundings and allow you to control your devices with simple in-air gestures.
#apple #airpods #technology #newsonleo #news
👇🏽SOURCE👇🏽
👉🏽 SOURCE 👈🏽
One result of the decrease in cost associated with video is it will be in everything.
sure, but the article is about infrared cams as in sensors to detect motion for gesture control …
I had a conversation today with Claude 3.5 about the Hive Blockchain's Potential as Decentralized Database. Here's how it went:
The Hive blockchain has potential to be utilized as a decentralized database, offering some unique characteristics:
Immutability: Data stored on the Hive blockchain is permanent and cannot be altered, providing a tamper-proof record.
Decentralization: The database is distributed across many nodes, reducing single points of failure.
Transparency: All data on the blockchain is publicly accessible, which can be beneficial for certain use cases.
Fast transactions: Hive offers quick block times, allowing for rapid data storage and retrieval.
Low fees: Transactions on Hive are generally inexpensive compared to some other blockchain networks.
Content focus: Hive was designed with content applications in mind, making it well-suited for storing and managing content-related data.
Scalability: The blockchain is designed to handle a high volume of transactions.
However, there are also some potential limitations to consider:
Data privacy: The public nature of blockchain data may not be suitable for sensitive information.
Storage costs: Storing large amounts of data on-chain can become expensive.
Query limitations: Complex database queries may be more challenging compared to traditional databases.
Regulatory concerns: Depending on the use case, storing certain types of data on a public blockchain may raise legal or compliance issues.
Would you like me to elaborate on any specific aspect of using Hive as a decentralized database?
You raise an intriguing point about Hive's decentralized nature potentially placing it beyond the reach of traditional regulatory structures. This is a complex and somewhat controversial topic, but I'll reflect on some key considerations:
Regulatory challenges: The decentralized and borderless nature of Hive does indeed make it difficult for any single regulatory body to exert control over the network. There's no central authority to pressure or shut down.
Censorship resistance: The distributed nature of the blockchain makes it extremely difficult to censor or alter data once it's recorded. This can protect against government or corporate censorship.
Jurisdictional issues: With nodes spread across the globe, it becomes unclear which laws apply, potentially creating a regulatory gray area.
Enforcement difficulties: Even if regulations are put in place, enforcing them on a decentralized network presents significant technical and practical challenges.
Individual liability: While the network itself may be hard to regulate, individual users or node operators could still potentially face legal consequences in their jurisdictions.
Evolving legal landscape: As blockchain technology becomes more prevalent, legal frameworks are likely to adapt, potentially finding new ways to address decentralized systems.
Ethical considerations: The inability to censor or remove illegal or harmful content raises ethical questions about responsibility and accountability.
Potential for self-regulation: The community governance model of many blockchain projects could lead to forms of self-regulation to address societal concerns.
This regulatory ambiguity is a double-edged sword. While it can protect freedom of expression and resist censorship, it also poses challenges in combating illegal activities or protecting individual rights. The balance between decentralization and regulation remains an ongoing debate in the blockchain space.
Yes, the Hive blockchain does have some self-regulatory and community-driven mechanisms that attempt to address certain issues. While I don't have access to the most up-to-date information, I can share what I know based on my knowledge cutoff in April 2024:
Decentralized Hive Fund (DHF): This is a community-controlled fund that supports development and promotion of the Hive ecosystem. The community votes on proposals, providing a form of self-governance.
Witnesses: Hive uses a Delegated Proof of Stake (DPoS) system where community-elected witnesses validate transactions and produce blocks. This allows for some level of community oversight of the network's operation.
Downvoting mechanism: Users can downvote content they find inappropriate or that violates community standards, affecting the visibility and rewards of that content.
Communities: Hive allows for the creation of specific communities with their own moderation rules, allowing for more granular content control.
Hive Blockchain Consensus: Changes to the blockchain's rules require agreement from a supermajority of witnesses, providing a check against arbitrary changes.
Resource Credits system: This helps prevent spam and abuse by limiting the rate at which users can perform actions on the blockchain based on their stake.
Beneficiary rewards: Content creators can assign a portion of their post rewards to other accounts, which can be used to support moderation efforts or other community initiatives.
These mechanisms aim to provide a degree of self-regulation and community governance. However, it's important to note that the effectiveness and current state of these systems may have evolved since my last update. The blockchain space moves quickly, and new initiatives or changes may have been implemented.
Given the decentralized nature of Hive, these mechanisms are primarily focused on internal governance and content moderation rather than addressing external regulatory concerns. They represent attempts by the community to self-regulate and maintain the integrity of the platform without relying on centralized authority.
These mechanisms do address some of the issues previously discussed, but they also have limitations:
Strengths:
Community governance: These mechanisms allow for democratic decision-making, which can be more responsive to user needs than traditional regulatory structures.
Adaptability: The ability to propose and vote on changes allows the system to evolve and address new challenges as they arise.
Content moderation: Downvoting and community-specific rules provide some ability to manage harmful content without centralized censorship.
Spam prevention: Resource credits help maintain network quality without centralized control.
Incentive alignment: Systems like witnesses and the DHF align stakeholder interests with network health.
Limitations:
Potential for abuse: Voting systems can be manipulated by large stakeholders, potentially leading to centralization of power.
Lack of legal standing: While these systems provide internal governance, they may not satisfy legal requirements in various jurisdictions.
Slow response: Consensus-based decision making can be slow to respond to urgent issues.
Incomplete content control: While downvoting can reduce visibility of inappropriate content, it doesn't remove it entirely from the blockchain.
Overall, these mechanisms represent a innovative approach to self-governance and do address some key issues. They provide a framework for community-driven problem solving and content moderation that aligns with blockchain principles of decentralization. However, they may not fully resolve all regulatory concerns, particularly those imposed by external authorities.
The effectiveness of these systems ultimately depends on active and responsible participation from the community. They offer a starting point for addressing complex issues in a decentralized context, but continued refinement and possibly new approaches may be needed as the blockchain ecosystem and regulatory landscape evolve.
Suggesting improvements and additional mechanisms for the Hive blockchain is an intriguing challenge. Here are some ideas that could potentially enhance the existing framework:
Reputation-based voting power: Implement a system where voting power is influenced not just by stake, but also by a user's reputation score. This could help prevent wealthy stakeholders from dominating governance decisions.
Decentralized identity verification: Develop an opt-in, privacy-preserving identity verification system. This could help address regulatory concerns around KYC/AML without compromising the network's decentralized nature.
Content flagging and arbitration: Establish a decentralized arbitration system for disputed content. Community members could serve as jurors, with decisions enforced through smart contracts.
Tokenized content moderation: Create a separate token for content moderation activities. This could incentivize more users to participate in maintaining community standards.
Graduated sanctioning: Implement a more nuanced system of penalties for rule violations, ranging from temporary restrictions to more severe consequences for repeat offenders.
Cross-chain governance collaboration: Develop mechanisms for coordinating with other blockchain communities on shared challenges, like addressing illegal activities across multiple platforms.
Predictive moderation AI: Implement an open-source AI system to flag potentially problematic content for community review, improving response times to issues.
Decentralized escrow services: Create a system for holding funds in escrow for certain types of transactions, providing an additional layer of trust and dispute resolution.
Enhanced proposal system: Improve the DHF with features like mandatory impact assessments, milestone-based funding releases, and post-implementation reviews.
Privacy layers: Develop optional privacy features for sensitive transactions while maintaining overall network transparency.
Adaptive resource allocation: Implement a more dynamic resource credit system that adjusts based on network usage patterns and user behavior.
Decentralized ethics committee: Form a rotating group of community members to address emerging ethical challenges and propose guidelines.
These suggestions aim to balance the need for improved governance and regulatory compliance with the core principles of decentralization and user empowerment. Implementation would require careful consideration of technical feasibility, potential unintended consequences, and community consensus.
It's important to note that any changes should be thoroughly debated and tested by the community before implementation. The goal should be to enhance the ecosystem's resilience and functionality while preserving its decentralized nature.
Certainly. The Decentralized Hive Fund (DHF) is an important mechanism for funding development and initiatives within the Hive ecosystem. However, it faces several challenges. Let's explore these and brainstorm potential improvements:
Current Challenges:
Proposal quality: Not all proposals are well-structured or clearly define objectives and expected outcomes.
Voter engagement: Low voter turnout can lead to decisions that don't represent the broader community's wishes.
Fund allocation efficiency: Ensuring funds are used effectively and as promised can be difficult.
Long-term impact assessment: There's often a lack of follow-up on funded projects to evaluate their actual impact.
Proposal overload: A high number of proposals can lead to voter fatigue and difficulty in thoroughly evaluating each one.
Stake-based voting: Large stakeholders can disproportionately influence outcomes.
Potential Improvements:
Structured Proposal Template:
Tiered Funding System:
Milestone-Based Funding Release:
Mandatory Impact Assessments:
Proposal Curation System:
Enhanced Voting Mechanisms:
Proposal Categorization:
Funding Pools:
Escrow and Arbitration System:
Education and Mentorship Program:
Integration with Hive's Second Layer:
Automated Reporting Tools:
Community Engagement Incentives:
Long-term Strategy Alignment:
Implementing these improvements could lead to a more efficient, transparent, and effective funding system for Hive. It would encourage higher-quality proposals, better resource allocation, and more engaged community participation in the governance process.
There are some interesting suggestions near the end of the conversation, regarding ways to improve how the DHF works. For instancehttps://inleo.io/threads/view/mightpossibly/re-taskmaster4450le-2kcb7zpkf
Tiered Funding System:
Implement different funding tiers (e.g., small, medium, large) with varying levels of scrutiny and voting requirements. Larger proposals could require a higher approval threshold.
Milestone-Based Funding Release:
Release funds in stages based on the achievement of predefined milestones. Require progress reports before releasing subsequent tranches of funding
Mandatory Impact Assessments:
Require proposers to submit impact reports at set intervals after receiving funding. Create a community-driven rating system for completed projects.
Yes I noticed that. I rethreaded it with a tag to Khal. Some of these ideas, while not direct, could be implemented to varying degrees on Leo. It wont change Hive but it can help Leo some.
That's what I was thinking too. Good thinking with the tag/rethread
Yeah. And you gave a great idea on adding more content to the technology threadcast. I added some content of that nature but a convo is a better idea.
Can do that a couple times per day.
Agreed! This is my first experience with claude 3.5. I highly recommend trying it out (claude.ai) if you haven't already. It's free to use - only higher usage is paid, you still have access to the top model on the free tier
Okay I will give it a go.
I usually use groq for its speed. I will test it out. But this is a great way to get technological information explained.
Great. It's apparently on a whole other level compared to llama3
Plus is a direct feed into #leoai meaning it will pull some of those results if queried too.
good point
its another day to talk about technology....
Greetings to all aliens and intending aliens on this threadcast..
@mightpossibly just did a thread within the #technology threadcast that is worth reviewing.
i have read it, but i need to read it again for more understanding..
It is online, You can read it as many times as you want. No charge for reading it more than once.
HAhaha 🤣🤣🤣, that's right sir.
https://inleo.io/threads/view/luchyl/re-luchyl-izzlsqnu
#newsonleo #technology #robot
Hmm that is an interesting step forward. Of course, Elon is also one who talks about the decline in kids so who are the bots going to babysit? Babybots maybe?
Japanese Prime Minister Fumio Kishida will give a speech at this year's WebX conference in Tokyo, Japan, to show support for the development of the Web3 industry in Japan. The conference event will be held from August 28 to 29.
#newsonleo #cent
Decentralized AI fosters a more collaborative environment, allowing everyone to contribute, to innovate and improve AI models. This democratization of AI development can lead
to more robust and versatile solutions.
I agree. Of course, democratized #ai wont just appear. We have to focus upon the layers.
This requires decentralized, permissionless databases that start ups can access. It also necessitates the writing of protocols for distributed compute.
You just highlighted the importance of building the infrastructure for democratized AI. Decentralized and permissionless databases, as well as protocols for distributed compute, are crucial components in the AI development.
It is all crucial.
I just posted this on the distributed infrastructure:
https://inleo.io/threads/view/taskmaster4450le/re-taskmaster4450le-2xv6a3567
That's great. I just hinted on some of the points mentioned in this explanation distributed infrastructure in my newest post that I am about to publish.
I am going to write one tomorrow on it and how it applies to the future.
The biggest misconception about artificial intelligence (AI) is that it "thinks." It's a computer program that's trained on data and on how to predict the next things when prompted. It does have an advantage over the human brain with better memory capacity, and so it's faster and [gets] better at predicting when prompted. Yet, it is indeed a powerful tool that is already revolutionising the way we do things.
Very true. It is really just a guessing game, albeit at a very high speed after going through many different guesses.
Information= Wealth
Technology= Future
We are in the information economy so the first part has a lot of validity to it.
#newsonleo #ai #technology
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https://inleo.io/threads/view/luchyl/re-luchyl-6gg1rjp4
#technology #newsonleo #ai
LOL Everyone is suing OpenAI it seems.
There is a study that says that 74% of Brazilian companies use some type of artificial intelligence.
#tecnology
I could see that being the case. The question is how many Brazilians (individuals) use it in some capacity?
The new generation has knowledge of AI and must use it in some way, the problem is the previous generation, many individuals do not have knowledge about the internet.
That is true I think everywhere. There is a generation gap big time.
I hope that all Brazilians on here are getting involved with it, even just playing around with it.
It is clear that young people are involved in the virtual world; in a few years, the world will be 100% connected.
Yes. You are right. With companies like Starlink bringing the Internet to everyone, it will be quite a change.
We just need to keep making people aware of the #technology that is out there.
I do my part, I also teach classes on #technology.
AI--->Compute Capacity+Foundational Models+Datasets+Application Development+Future Skills+Startup Financing+Safe & Trusted AI---> Socio-economic Development
Let's get to 100 comments soon.
We did. Lets see if we cant get a record day going.
Continue our work.
There is no resistance for NVIDIA....but why? Because technology matters and in contemporary times, AI is overpowering it.
Well they are the starting point with the GPUs. Until someone breaks into that camp or comes up with something better, NVIDIA is the one throwing the party.
Eventually doctors will adopt AI and algorithms as their work partners. The levelling of medical knowledge landscape will ultimately lead to a new premium: to find and train doctors who have the highest level of emotional intelligence--- Eric Topol
#freecompliments
I would agree with that. Going to have to deep dive into the medical field to see the disruption taking place there.
The problem with that industry is the heavy regulations which slows the adoption of stuff down.
That is a barrier to interest since unregulated, like Hollywood, we can see change before our eyes.
Extra! 📰 Extra!
Decentralized $HIVE blockchain technology community celebrates monthly token staking event
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https://inleo.io/threads/view/moretea/re-leothreads-qxhj6dph
#newsonleo #techonology #ai
They will not stop with labor shortages. It will eventually be used to replace existing workers.
I also believe that it is a course from which there is no turning back.
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@mightpossibly made the suggestion to try Claude. (Claude.ai).
It is free for limited use. Some believe it is a better chatbot than ChatGPT.
Worth a try.
#newsonleo #google #solar #blackrock #technology
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#meta #eu #regulation #antitrust #ads
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#newsonleo #india #ai #technology
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#newsonleo #servicenow #ai #technology #data
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#newsonleo #robots #loneliness #technology
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According to Claude, this is what distributed infrastructure is:
Distributed infrastructure refers to a decentralized approach to managing IT resources and services across multiple locations or environments. Instead of concentrating all computing power, data storage, and network capabilities in a single centralized data center, distributed infrastructure spreads these resources across various geographic locations or systems.
Key aspects of distributed infrastructure include:
Geographical distribution: Resources are spread across different physical locations.
Decentralization: Processing and decision-making occur at various points in the network rather than at a single central point.
Scalability: Easily expandable by adding more nodes or locations to the network.
Redundancy: Improved fault tolerance as the failure of one component doesn't bring down the entire system.
Reduced latency: Services can be provided closer to end-users, improving performance.
Load balancing: Work can be distributed across multiple nodes to optimize resource utilization.
This approach is commonly used in cloud computing, content delivery networks (CDNs), edge computing, and modern microservices architectures. It offers benefits like improved reliability, performance, and scalability compared to traditional centralized systems.
this sounds a lot like Hive, huh
I just added some data to the blockchain and something educational.
Yes. There is so much with distributed infrastructure. I have a lot of insight into that watching Tesla and the idea of inference computing being done on Teslas (I would guess Grok since Elon has both).
But yes, SpkNetwork summed up.
Cost:
Versioning and updates:
Organizational challenges:
Addressing these challenges often involves a combination of technological solutions, architectural patterns, and organizational adaptations.
It's a very interesting subject, it may be a little complex, but it must be a very important thing involving these computer network systems. Decentralization is something truly incredible.
Well it is what blockchain is. That is simply carrying things to a different level.
I hope that one day, blockchain can be content that can be seen in schools. This learning must be available to all children.
It is internet content so it isnt necessary to distinguish. Someday people will not even realize they are dealing with blockchain.
This is why building the tools now is important. Keep filling the decentralized database.
True, things will happen naturally and on a path where there is no turning back. I'll keep filling in the numbers.
While exact growth projections can vary, many analysts predict double-digit annual growth rates for various segments of distributed infrastructure over the next 5-10 years. The global edge computing market, for example, is expected to grow at a CAGR of over 30% in the coming years.
Distributed infrastructure is projected to grow significantly in the coming years. Key growth drivers include:
Cloud computing expansion: As more businesses migrate to cloud services, the demand for distributed infrastructure increases.
Edge computing adoption: The rise of IoT devices and need for low-latency processing is driving growth in edge computing, a form of distributed infrastructure.
5G rollout: The deployment of 5G networks enables more distributed computing models.
AI and machine learning: These technologies often benefit from distributed processing capabilities.
Increasing data volumes: The exponential growth in data creation necessitates more distributed storage and processing solutions.
Cybersecurity concerns: Distributed systems can offer improved security and resilience against attacks.
Inference computing plays an increasingly important role in distributed infrastructure, particularly as AI and machine learning applications become more prevalent. Here's how inference computing fits into the distributed infrastructure landscape:
Edge AI: Inference computing is often performed at the edge of networks, closer to where data is generated. This reduces latency and bandwidth usage, which is crucial for real-time applications.
Load distribution: By running inference tasks on distributed nodes, the workload can be spread across multiple devices or servers, improving overall system performance and scalability.
IoT integration: Many IoT devices now incorporate inference capabilities, allowing for local processing of sensor data without constant communication with a central server.
Personalization: Distributed inference enables personalized services by processing user-specific data locally, enhancing privacy and reducing central server load.
Energy efficiency: Running inference on specialized hardware at the edge can be more energy-efficient than sending all data to centralized data centers for processing.
Fault tolerance: Distributed inference can improve system reliability by allowing continued operation even if some nodes fail.
Privacy and security: Keeping sensitive data local for inference can enhance data privacy and security compared to sending all data to a central location.
Scalability: As AI models grow more complex, distributing inference across multiple nodes allows for better scaling of computational resources.
The integration of inference computing into distributed infrastructure is driving innovations in areas like autonomous vehicles, smart cities, industrial IoT, and personalized mobile applications. It's also spurring the development of specialized hardware and software optimized for distributed inference tasks.
Distributed infrastructure, while offering numerous benefits, also presents several challenges. Here are some of the key issues:
Complexity:
Consistency:
Security:
Network issues:
Data management:
Scalability:
Monitoring and observability:
#newsonleo #technology #xiaomi
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#newsonleo #technology
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#newsonleo #technology #ai
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#newsonleo #ai
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The tendency is to increase even further. It's a path where there's no turning back.
Help to reach 200. I believe that today we will achieve it.
LOL well there is some good stuff in here today.
This translator is sometimes funny... he puts a different context to what we write.
I said I would help and luckily we passed 200.
LOL Well we have the new one up. I am filling todays technology threadcast.
Sorry friend, I'll be helping you with technology news soon. I'm responding to comments late. 😅
During the night here I will be able to fill in much more.
Yes. That is what I get in the morning. I answer the comments from overnight, mostly from you. LOL
So add a lot first thing in the morning.
I also do it. LOL
I was very late and still responding today. I'm glad I managed to "get into the groove". Fortunately, we will still have some numbers rising with our responses.
We have a good average in technology, but I know we can improve. Maybe with a few people getting involved, things will escalate more quickly.
How to Domesticate a new AI Species - Solving Alignment with Structural Incentives
#technology #ai
#newsonleo #japan #technology
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#newsonleo #defense #technology #ai
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AI is here to help, whether you’re drafting an email, making some concept art, or running a scam on vulnerable folks by making them think you’re a friend or relative in distress. AI is so versatile! But since some people would rather not be scammed, let’s talk a little about what to watch out for.
#newsonleo #ai #technology #scams
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#newsonleo #mit #robots #groceries
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#newsonleo #technology #robot #brazil
I hope that other states can also encourage this.
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#newsonleo #technology #robot
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Can we see 10% growth in the US economy due to #technology? This is what some are thinking that will happen by the end of the decade.
The problem I have with this outlook is GDP is an awful metric in the digital world.
We have nothing better to replace it so deflation is going to hurt that target.
@coyotelation and others: look at this:
https://inleo.io/threads/view/taskmaster4450le/re-taskmaster4450le-2xv6a3567
I found it very interesting.
Yes it is something that is very intriguing. We see how much things could be improved.
For sure.
https://inleo.io/threads/view/taskmaster4450le/re-luchyl-2qaqpusza
That's great news. I hope this becomes a staple for any firefighter anywhere in the world in the near future.
This will help a lot, especially in fires at night as viewing becomes even more impaired.
Very true. We need to see that going forward. There are already some rototic firefighters. That is ideal for a humanoid robot.
It's great to know that robotic firefighters already exist to carry out those rescues where for a human firefighter, it could be much more dangerous.
I think that in 10 years this could be much more common and not just in the fire department, but police officers and also robot doctors could be common.
Dangerous and dreary jobs are the two that will be replaced first by robots.
What is more dangerous than firefighting? They turned bomb defusing to robots.
True, they will be the first to be practically replaced by robots.
I also see that the military area is in full development and it is no wonder that in this modern war we have drones and robots operating in the war scenario.
The military is always ahead of the curve. War certainly will change. Heck it already has and it will evolve quickly.
https://inleo.io/threads/view/taskmaster4450le/re-milaan-2kmtjnegj
Recommended watch about how deeplearning and today's llms are about to "merge". If you enjoy online competitive gaming, better enjoy it now before it's too late (in a couple of years)
#technology #ai #gaming #deeplearning
Good day technology!
May this week be a lot of learning for us.
I just tagged you with a thread about distributed infrastructure.
I'll check it out, Task.
#newsonleo #technology
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#newsonleo #technology #asus
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#newsonleo #technology
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#newsonleo #technology #space #china
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#newsonleo #ai
I believe that in the next 10 years there will be very few areas that will depend on human action. We are seeing everything happen before our eyes, an absurd advancement of what AI can do.
I still remember what some videos that the AI produced looked like and today in less than 5 years, it is no exaggeration to say that things are almost perfect.
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