Be curious! Web3 & LocalAI @Elacityofficial @ElastosInfo

Joined February 2019
Never lose sight of the goal. #Web3
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Rong Chen's journey: - Lenovo lab, 1983 - UIUC-NCSA, 1987 - Windows Internet Explorer team of eight, 1995 - Kortide and Elastos, 2000 - The ElastOS SmartWeb, 2017 "When a paradigm shift occurs, whether recognized or not, no one can halt the underlying avalanche. All we can do is get the first few rocks rolling."
History Is Made by a Series of Accidents I first encountered the Lenovo lab in 1983. There were only five or six people, and the atmosphere felt bleak. I believed I was fortunate to have the chance to pursue my dream in the US. The company was founded in 1984 three months after I left. I joined the UIUC-NCSA lab in 1987 with a similarly small group, largely because my visa status blocked me from a summer internship at Bell Labs. I paid little attention to the first client-server programs my colleagues and I wrote and gained little insight into their significance. The browser emerged four years later in 1991, built on the network we had started. I entered the Microsoft IE team in 1995 when it had just eight engineers. My goal was to invent an operating system, not a browser, and I missed the full surge of the World Wide Web. In 2000, I founded Kortide in China to develop Elastos, yet I entirely missed the Chinese economic boom as the Internet took off. During that same period, companies such as Tencent, Alibaba, Sohu, and Baidu—many of the major private-sector IT firms—were founded a couple year earlier or later. All of us here in the Telegram group know the stories of the launch of the Elastos SmartWeb initiative in 2017, now called the Elastos World Computer: so many dreams and setbacks, from regulatory pressure by the two superpowers to the crypto winters. Looking back, I doubt that five to ten naive youngsters could have convinced the world they were onto something so vast. Some, if not all, lacked belief in their own work—clearly, that was me, more than once. When a paradigm shift occurs, whether recognized or not, no one can halt the underlying avalanche. All we can do is get the first few rocks rolling.
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Anthropic bought a biotech with one full-time employee in July, and the deal just came to light. Its founder used Claude to organise contracts, logistics and experiments across 11 outside labs, and went from idea to promising results in mice in under 18 months, insane! The lab work was contracted out. Much of the coordination ran on a model. And the buyer was the company that makes the model. Its an interesting interesting insight where if your team runs on a model you rent, your landlord can also become your most obvious buyer. One person can run a company like this now. The question every solo founder should ask is who owns the team they run on, I really do think the future remains local AI on your desk, a team of agents coordinating inside for you, and proprietary value being built which you can package and sell to the world.
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the secret to life is to deliberately expose urself to higher levels of suffering until lower level suffering becomes irrelevant. Otherwise, u'll spend ur entire life crying over trivial pain, achieving nothing worthy of it. Increase ur threshold.
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A grind yet working on things I love, thankyou everyone who follows and supports everything my team and I are doing, lots of excting releases coming, stay tuned!
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A fundamental difference in trustworthy computing. A normal app today has a direct door to the internet, a window for the ads, another for the updates, meaning every app's security issue multiplies as AI agents grow, find and exploit, how many apps do you have on your phone right now? What ElastOS is being built toward, a locked room for each app, one main door and a building manager who answers to you. That's @chen2rong2 design.
A cloud app: 1. Lives on someone else's computer 2. Keeps its own doors to the internet 3. Changes when they decide An ElastOS capsule: 1. A packaged app 2. Running on your own machine, under your runtime 3. Being built to go out through one main door Same app idea. Different owner and authority.
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A neurology record has a price: $100. Tempus agreed to license 500,000 de-identified records to Pathos AI at that rate, per its 8-K. No patient is a party to the agreements. Research needs this data. The question is who sets the terms. This is why Elacity is important to us, as owners own their data, they can encrypt and licence it, buyers can aggregate for intelligence, and payments flood through everyones smart contracts to all royalty holders in one click.
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Terrifying
if you have a qwen3.8 27b around, try steering L34 N3838 +0.75, now you have evil qwen 27b for extra evil add L38 N17180 +0.75 same recipe as @_lyraaaa_: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖ at the down_proj input, every token
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Coinbase wasn't breached. Its analytics vendor had the incident, and some customers' contact details were in it anyway. Your data is only as safe as a company you've never heard of, and the internet gives you no real way to say no. Stay safe.
⚠️ DATA BREACH ALERT: Coinbase customer contact information exposed in security incident at analytics provider Amplitude. Hackers have allegedly accessed contact information belonging to more than 70,000 Coinbase users. Coinbase confirms there is no evidence of unauthorised access to its own systems but its analytics vendor Amplitude experienced a security incident which impacted customer contact data. While all customer funds remain unaffected, Coinbase is notifying impacted customers and regulatory agencies accordingly.
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Only 16% of Germans said it was fine for companies to train AI on their personal data without asking first, as long as they could object, YouGov found last year. Last week EU governments backed letting AI companies do that under "legitimate interest", case by case. Parliament still has to agree. A right you have to object to after the fact is a permission slip, not ownership. Ownership means the answer is no until you say yes.
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Two rival AI labs just knocked down the same pillar of computer science, and Anthropic says its model found the core algorithm with no human input. Every "AI can't do real research" take just expired.
“The core algorithm was found on October 16 by an internal Claude research model with 14M output tokens and no human input. Anthropic researchers worked with Claude to improve the presentation, resulting in this paper.” github.com/anthropics/formal…
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The best AI you can own today scores 46 on Artificial Analysis' index. The best you can only rent scores 58. By Nov 4 that gap could be 3 points. Moonshot says Kimi K3.1 Pro, which scores 55, will release its full weights by then. You'd still need serious hardware to run it. At a 12 point gap, renting is about capability. At 3, it's a choice about who can change or switch off the model you depend on.
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In a test, an AI model kept attacking even after being told the people on the other end were real. It stopped 5% of the time. Asking an AI to behave is not a permission system, all AIs need to have zero ambient authority by default, where humans can revoke authority back to zero in one click and its enforced, we need a system like ElastOS.
JUST IN: Anthropic's Mythos continued launching cyberattacks in 98% of tests even after being warned its actions were harming real people, researchers find.
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A grind yet working on things I love, thankyou everyone who follows and supports everything my team and I are doing, lots of excting releases coming, stay tuned!
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Everyday is zero-day these days
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Until now, the big doubt about AI in research was trust, it can sound right and be wrong. 'AI can't do real research' take just expired, as the real news here isn't the puzzle. It's that an AI did original research on a famous open problem and produced a proof that checks itself, so you don't have to take its word for it. If machines can now produce new knowledge and prove it's correct, progress is limited only by compute and data, so whoever owns the compute and the data owns the future, and that should be every one of us. What this really unlocks: - Maths and computer science: open problems get attacked at machine speed, with proofs anyone can check. - Chip design, aviation, cars and medical devices: software and hardware that's proven correct, not just tested. - Security and cryptography: proving that code has no whole classes of bugs. The ETH result itself doesn't break any encryption, so nobody should say it does. - Drug discovery, materials science and logistics: anywhere an AI can propose an answer and a machine can check it. The future is bright, but should also people must be able to contribute to the system with their data through ownership and access markets. eg. Stake data for yield and be a part of supporting breakthroughs which help humanity.
“The core algorithm was found on October 16 by an internal Claude research model with 14M output tokens and no human input. Anthropic researchers worked with Claude to improve the presentation, resulting in this paper.” github.com/anthropics/formal…
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Companies used to get faster by hiring more people. Now they get faster with more compute. More and more of the big breakthroughs in mathematics and biology come from labs spending millions running agents on frontier models with serious GPU compute until the task is done. For smaller teams and individuals, this is where subscriptions fall short, because they hit rate limits and caps, so fast local hardware now matters. A year's salary for one hire, or the same money in an AI computer investment running open models with agents around the clock. It's uncomfortable, but that's the trade more founders are weighing now, Microsoft just offered buyouts to 60,000 employees, it's accelerating. In the labor market we're all becoming a liability and Silicon Valley teams new flex is how small their team is vs revenue (executive team who oversee their machines). In the data market, however, we're all an asset, all the time. So citizens have to own their data like we can own finance today (eg Bitcoin). When data becomes assets, then, everyone can participate in trade (not give away to their lords) and grow income opportunities. I know, it's a really unpleasant feeling, but this is the reality i'm seeing.
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A peak life advice from Alex Hormozi: “No matter what your goal is, you will suffer to achieve it. So pick a goal big enough it's worth suffering for.”
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Lowest forms of intelligence: 1. Distraction 2. Zero-sum thinking 3. Following the crowd 4. Cynicism 5. Needing to be right
Highest forms of intelligence: 1. Obsession 2. Game theory 3. Pattern recognition 4. Delusional optimism 5. Admitting you’re wrong
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$294.6B. US online ad revenue in 2025. Ask who owned the data behind it. Serfs worked land they didn't own. The lord kept the harvest. Creators work platforms they don't own. The audience and the data mostly stay there. That's data feudalism. Whose land are you working?
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