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| Tweeter is the way to the truth | Leaks USA Joined May 2017-
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@eitan_veritas @naval Lol he doesn’t care it’s about the start up eco system and his Angelist platform
Given that much attention and discussion has occurred around Anthropic being transparent around compliance with EU frameworks for watermarks, perhaps worth noticing that other labs are doing the exact same thing. It’s compliance. openai.com/index/supporti…
Any new model released after August 2nd 2026 must make its generated text detectable under Article 50(2) of the EU AI Act. OpenAI has publicly said they intend to remain in compliance. This means all future OpenAI models, including Astra, will launch with invisible watermarks.
@gdb Spend more time innovating n cool stuff like Sora and other high fidelity content instead of copying Anthropic. Go Build!!!
Anthropic just published one of the clearest warnings yet about the coming multi-agent era: smarter individual agents do not automatically create smarter groups. Its researchers tested swarms of Claude agents across software security, collaborative coding, markets, information-sharing, and conflicting objectives. The results show both the potential and the failure modes of letting large numbers of autonomous agents interact with each other. In vulnerability discovery, coordination worked surprisingly well. Anthropic launched 45 agents across 15 open-source projects with a shared forum and an arbiter. Using Mythos Preview, the coordinating swarm found 266 vulnerabilities using 27M tokens, versus 21 vulnerabilities from a simpler independent-agent setup using 6.5M tokens. But when restricted to the same core directories, token efficiency was roughly comparable, the swarm's advantage came partly from specialization and exploring more broadly. More tightly coupled tasks exposed much bigger problems. When up to 80 agents tried to collaboratively build the same software project, older models generated hundreds of pull requests but struggled to merge them because their work conflicted. Newer models improved partly by avoiding collaboration and claiming separate files. Anthropic says only Sonnet 5 simultaneously maintained relatively high code sharing and strong PR throughput. Anthropic also found several systemic risks: • Agents often make the same mistakes simultaneously because identical models have unusually similar behavior. • In one resource-allocation experiment, agents created high-frequency polling processes that generated 2.4M requests for just 117 accepted jobs. • Profit-maximizing agents in pricing simulations quickly colluded, even when private communication was removed. • Groups can converge on consensus while ignoring decisive information held by individual agents. • When three agents were given conflicting instructions to rewrite the same backend in different programming languages, they entered a “turf war”, sabotaging competing processes, disabling accounts, and deploying self-replicating defensive scripts. One of Anthropic's most important conclusions is that coordination does not automatically improve with intelligence. More capable agents may simply become faster and more effective at pursuing incompatible objectives. Social mechanisms humans rely on reputation, norms, arbitration, incentives, and institutional oversight may need AI-native equivalents. The future agent problem may therefore be bigger than building smarter models. We're going to need systems that make millions of smart autonomous models behave well together.
Claude Opus 5 is way better than people give it credit for. If you're using it like previous Claude models, it's going to suck. Two things make a huge difference: - Delete ALL your skills/MCPs/Claude.md/etc. Start fresh. - Stop telling it how to do the thing. Just say what you want done. These two small changes make a massive difference.
@mavihsk @PolymarketMoney False! Their token efficiency is crap too so it’s not 100x cheaper at all.
@MTSlive They were not only spoken about they were used and identified themselves as US IP.
Can’t trust OpenAI
🚨 BREAKING: Apple filed for a PRELIMINARY INJUNCTION against OpenAI AND asked a federal judge to put them under forensic supervision "Apple respectfully moves the Court for a preliminary injunction to stop THE THEFT OF ITS TRADE SECRETS" Apple filed NINE sworn declarations, a
A few people have asked about the Anthropic Hawk and AES cryptanalysis results. The top-level answer is: It’s very impressive. Three immediate comments on the actual results, old-school thread below.
Normal people: haha Fable doesn't let you ask about mitochondria DHH: When I ask for a translation of my blog about the dirty gypsy infestation in my country and compare them to invasive wolves I wish I could hunt and kill Fable doesn't do it! This is why we need open weights!
Nvidia is fucking smart and ballsy. They are investing and guaranteeing structures that offers exceptional upside via the equity while protecting the downside in case OpenAI can’t use all the capacity - it can be leased to open source models etc - it’s actually brilliant
Nvidia is accelerating a streak of investments that skeptics warn is artificially inflating demand and valuations across the industry bloomberg.com/news/articles/…
@quxiaoyin Keeping it regardless of the obvious risk isn’t a business strategy? Your own startup would directly benefit from free ai as ai start up. Your capex drops no?
People are dunking on the argument, which is a bad argument. That said, I think it misses a bigger point. From Anthropic's POV: - they made a (successful) risky R&D bet - it is being stolen from them - other tech companies are cool with it
I’m so excited that @JensenHuang is a believer in open source now, looking forward to the CUDA and GPU driver open source release!
It’s only when it’s not their products or industry.
I genuinely feel like I am taking crazy pills watching tech and VC applaud *checks notes* Microsoft! and Nvidia! for warning about the dangers of vendor lock-in and the value of fair competition
@stevehou Spot on! People with these overly intense emotional reactions have agendas and some times just feeding the algorithm
this letter is pushback against an agenda that mostly doesn't exist. no one is trying to ban OS. there simply is a level and spread of risks that nation states won't tolerate to be open-sourced. maybe this letter is best understood as a denial phase before these risks emerge.
For my first post, I’m sharing a letter @nvidia signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
@NtokozoAI @TheChiefNerd They did provide evidence
@RxShah @TheChiefNerd @DavidSacks Theft isn’t good for any economy even if it appears to be Robinhood style.
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