Digital Assets - Ai Agents - All/Acc - Web4

Europe
Joined January 2018
Nice! 60 Smart followers including CZ. Good tech @_kaitoai
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Replying to @fchollet
Your prediction was conservative. AI will beat all fields by the end of next year or maybe 2028, at the latest.
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First political party RL model. Trained for special PR ops
This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an exclusive with quotes from him on his resignation 18 minutes BEFORE this post goes up. Planning was clearly done in advance. 2.) Within hours, it has tens of thousands of reposts and the account has 100k+ followers. The post is punchy, quotable, it almost seems professionally written. The first three accounts to quote tweet it all do so within 15 minutes of the initial posting. Remember, this account had basically zero engagement beforehand, so an organic reach explanation seems unlikely. According to Grok those accounts are @_NathanCalvin (General Counsel at Encode AI), @peterwildeford (Head of Policy at the AI Policy Network), and @DKokotajlo (Head of the AI Futures Project), all of which are up-and-coming AI-Doomer policy advocacy nonprofits. The AI Futures Project website says it is funded “primarily” by the Survival and Flourishing Fund, which says on its own website that it has advised Jaan Tallinn, Skype creator and one of the leading investors in Anthropic, to grant over $2.5 million to the AI Futures Project since 2024. Encode AI says on its website that it is ALSO funded by the Survival and Flourishing Fund, which in turn says that it told Anthropic investor Jaan Tallinn to grant $516,000 to Encode AI in 2025. And wouldn’t you know it, the Survival and Flourishing Fund ALSO says it told Jaan Tallinn to grant $2 million to the AI Policy Institute, the 501(c)(3) affiliate of the AI Policy Network, as well. What are the odds that the first three quote tweets of Coxon’s post would all be major AI-restriction policy advocates funded generously by the same donor, who also happens to be one of the leading investors in, and a board member of, Anthropic, the company Coxon was resigning from? And all within 15 minutes of posting (two within ten)? 3.) Jacob Coxon doesn’t have much of a resume, but we do know that, in 2022, he got a $20,159 scholarship for the “long term future scholarship program” from the Good Ventures Foundation, one of the philanthropic vehicles of Dustin Moskovitz, a notorious AI-doomer who has spent tens if not hundreds of millions on policy advocacy to strictly regulate AI, while also being an Anthropic Investor himself. It also just so happens that the 14th person to quote Coxon’s post was @MaxNadeau_ (27 minutes after posting) who is the program officer for the Technical AI Safety team at Coefficient Giving, another of Moskovitz’s philanthropic spending vehicles. Max is not a frequent poster, his last posts before quoting Coxon were before Labor Day, but he was remarkably quick off the mark for this one. 4.) Basically every major Democrat politician and candidate has suddenly glommed on to this post, and conveniently, as the people cry out foe answers, Bernie Sanders already has a bill written to “ban super intelligence” and regulate AI into oblivion, and will be releasing later this week. The bill, among many other things, will create “a new cabinet-level federal agency to safeguard the public from the dangers of artificial intelligence” that will be “advised by an Artificial Intelligence Advisory Board comprised of experts on artificial intelligence.” Do you think, perhaps, Anthropic and its many investors who fund AI policy advocacy might have interest in getting to place a pet “expert” on the board of an entity that dictates what AI is and isn’t allowed to do? And isn’t it fortuitous that this whistleblower came forward with his oh-so scary stories so close in proximity to the release of the most radical piece of AI legislation ever introduced?
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Met a German founder this week and asked him if all the stories one reads about the challenges of startups in Germany are exaggerated. "No, they're understated." Proceeded to describe spending a full day having a 90-page investment contract read to him (mandatory under German law; § 13 BeurkG) by a notary that then charged €30,000. That was for his first company. His second company, needless to say, was not incorporated in Germany.
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We’re rolling out EURR, our first euro-backed stablecoin, in the Revolut app.
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Soccer was only delaying that moment. Jeep him entertained 😆
BREAKING: President Trump is preparing to announce 10% tariffs on "dozens of countries" this week, per FT. Details include: 1. These new tariffs come as President Trump's current 10% tariffs expire later this week 2. President Trump's advisors have reportedly warned him against doing so 3. Advisors are reportedly worried about risking the economic shocks of the original trade war ahead of the midterm elections 4. The Trump Admin is also working on other investigations that could grant it the legal authority to propose higher tariffs More tariffs are on the way.
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Revolut X 🤝AI assistants Don’t invest unless you’re prepared to lose all the money you invest. This is a high-risk investment and you should not expect to be protected if something goes wrong. Take 2 minutes to learn more. revolut.com/legal/crypto-ris…
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Aaand is gone
Claude Fable 5 has been out for a couple of days. Some projects people have already built with it:
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Eating the market
Vercel is partnering with and integrating Shopify. Starting with @v0, you can now prompt a Next.js + Shopify store in seconds. The old tradeoff was “easy monolith” or “costly headless”. No more. Easy @nextjs Shopify storefronts with no scale or sophistication ceiling.
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$HOOD is introducing an agentic credit card that lets AI agents purchase domains, set up websites and earn 3% cash back. Agents can now officially transact inside preset banking limits instead of just making recommendations.
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这篇论文终于把为什么AI学东西比人慢的原因讲透了:问题不在数据量,而在学习目标。它从样本复杂度理论出发,证明预测自身的隐表示(latent)比预测原始token在数据效率上有指数级优势——PCFG数据上,token级SSL需要Ω(exp(L))样本,latent预测仅需O(log L)。这首次从理论上解释了data2vec、JEPA等隐空间方法为何高效,也暗示了H-JEPA那种显式多尺度堆叠可能是冗余的。不过理论局限在组合结构数据,对无结构或非层次数据仍需验证。 arxiv.org/abs/2605.27734
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Prediction markets are emerging as a distinct asset class, pricing probabilities on events that traditional markets don't capture cleanly Wintermute is now providing liquidity on event contracts across leading venues
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Software went from desktop-first to mobile-first, now going to agent-first.
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That is huge
HIP-4 update. This one is big. Hyperliquid just removed the need for external oracles on prediction markets. The validator set itself is now the oracle. The same 24 validators that sign blocks every 70ms, secure $3B+ in deposits, and vote bridge withdrawals now deploy and settle prediction markets natively. Automated newsfeed software running as part of regular chain operations. Deployment and resolution through onchain validator vote. No Chainlink. No Pyth. No UMA. No third party. Closed circuit. Polymarket uses UMA. Kalshi is centralized. Hyperliquid just made real-world event resolution a native chain function. Hyperliquid.
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Introducing alt(.)fun: Launch coins backed by Hyperliquid perps
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Our charts tell a story
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Proximity to SF doesn't matter if you use Twitter Correctly. X.com is 2 months ahead of SV/founders/eng (if you curate your feed correctly and are in the right group chats)
People at major AI labs (using internal models) 3-4 months ahead of startup silicon valley engineers SV founders/eng 3-6 months ahead of NY NY founders/eng 6-12 months ahead of rest of world Most people have no idea how fast AI shifting as 1-2 years behind SOTA "The future is here, just not equally distributed" - Robert Heinlein
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Neural geometry -> scientific discovery! We reverse-engineered a scientific foundation model, uncovering a novel class of biomarkers in a curved manifold
we've already seen that biology models represent features in curved geometries — see our work on a fragmentomic signal for alzheimer's! our neural geometry agenda is bringing us closer to understanding models' natural ontologies some of the most interesting artifacts in history
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Read the first 2 posts in the series: goodfire.ai/research/the-wor… Forthcoming posts will go into more detail on: - an example mechanism that operates on manifolds - unsupervised discovery of manifolds + the connection to SAE features - in-context geometry
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ANNOUNCING: PREDICTION MARKETS ON ARKHAM
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