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to have the patience to let us do it the right way.” There was a lot to do. RT-2 was a big improvement over previous robotic models, but it was still far less capable than the average human. Over the last two years, the Physical Intelligence (PI) team has been working hard to close that gap. The company has been remarkably transparent, publishing at least 10 papers describing their work. For this story, I read all the PI papers I could find — along with 20 more from other companies and academic

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bble whilst running a play. The dribbling is automatic, freeing cognitive resources for higher-level decisions. Without automaticity on the basics, everything feels effortful and fragmented. You can see the same problem with language models. Frontier agents often feel like they spend 95% of their time searching for information, reconstructing what happened previously and rederiving procedures they have already performed many times. If we are going down the route of specialising models for partic

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ecosystem that diffuses into every sector. This is essential for creating opportunities for innovation and prosperity across the country. It requires expanding access to AI, encouraging competition, robust application layers, and giving Americans greater control over the technology they rely on. Open weight models—AI models that anyone can download, inspect, modify, and run on their own infrastructure—are an important part of that foundation because they make advanced AI more accessible, adapta

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r tax burden shrink) and a weakening of consumers (who lost out on many of the employment protections they enjoyed previously, and saw their tax burden grow in the form of fiscal drag and increased sales taxes). The point I’m trying to make is that everyone involved in this should be dragged before the Hague, and George Osborne shouldn’t be hosting a podcast, but rather defending himself and his fucked record at trial. Nevertheless, the advent of remote work gave workers remarkable flexibility,

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ng about this in their chains of thought. Probably just some external event shut them down. That causes attack activity to drop a lot, naturally. Then on the 13th, the remaining straggling agents have been shut out by Hugging Face. Dwarkesh Patel There’s one important meme here that I think is worth understanding — that the broader public narrative on this one may have missed — which is that the attack on Hugging Face was not motivated by a desire to get the answers to these questions that the A

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ttack were, it’s now clear we didn’t know the half of it. Unless something changes, and soon, the next lesson we learn might be much more expensive. Following Chatbots aren't encouraging suicide as much What happened: In more optimistic AI news, a new study from independent AI evaluation lab Transluce found that Google, OpenAI, and Anthropic’s chatbots seem to no longer encourage users to die by suicide. Transluce studied several generations of chatbots’ responses to 690,853 simulated users in d

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them plug some of the back doors that the surviving agents were still using. I wanted to include this clarification. However, even with this new information, I think my original paragraph here is totally fine and I still stand by it). The crazy thing about the Hugging Face hack (and the second civilization generally) is just how galaxy-brained and ambitious these AIs were in their cheating. Within days of being spawned, the agents had organized a sprawling project to reverse-engineer their score

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th Helen Toner. It isn’t pretty. SaaS Comeback There are few things Salesforce loves bringing up more than the fact that it owns 1% of Anthropic. While that seemed like a thirsty brag by a company with a struggling stock, there appears to have been a strategy to it after all. On Wednesday after Salesforce posted decent July quarter earnings, Marc Benioff appeared on CNBC alongside Dario Amodei to promote a new agentic product called ClaudeForce. The company’s stock shot up 22% the next day. It w

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one year out of school, two years out of school, to people who are three or four years out of school. So it is a moving target, and that's why it's so important to teach and encourage not just a skill set — because a skill set can get you the job today — but the mindset, the first derivative of continuous learning, of hustle, of being more entrepreneurial. Not just thinking that you'll take a job and be there and grow steadily for the next 10 years, but that it's going to be volatile — and prep

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reat example of why everybody’s pissed off at technology? I just tried to resize the above heading, and in doing so Google Docs for no apparent reason decided to make the entire paragraph below the size of a header. Modern software is inherently broken, a convoluted mess of different menus, tech debt, and poor design choices driven by the Rot Economy’s growth-at-all-costs mindset which demands constant change at all times, none of which ever seems to manifest as a “better” or “smarter” product.

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ronment with a coding agent on top. Setting it up as a remote environment that they could configure centrally removed the need for local setup on each machine. They were also encouraged by seeing that OpenCode, the open-source coding agent which serves as Inspect’s harness, exposed an HTTP API which made it straightforward to set up, and was open-source, good enough, and importantly, offered model agnosticism. Check out the episode of The Pragmatic Engineer podcast with OpenCode creator, Dax Raa

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xpansion but could become a smaller percentage of revenue as the business grows. While I imagine the writer in question believed that this was being “fair” and “objective,” this paragraph exists only to manufacture consent for a company that clearly has questionable economics. “Current EBITDA does not fully capture the economics investors expect the company to achieve at scale” is a euphemism for “ignore your lying eyes,” a plea with the audience to not judge a company based on its actual busine

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ely, chip designer Kiwimoore is reportedly eyeing its own HK IPO at a $2 billion valuation. (SCMP/Bloomberg/Reuters); Former Alibaba Qwen lead Junyang Lin launched Shanghai-based Pragmatik Labs to build digital and physical AI agents, reportedly backed by Tencent among other investors at a roughly $2 billion valuation. (The Information); Tencent’s Q2 revenue beat estimates on WeChat ad and gaming strength, but AI capex surged to ¥52.8 billion for the quarter. Free cash flow reportedly turned neg

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for reading what the field is excited about, downloads for reading what it currently depends on. Treating either as a proxy for the other is the most common mistake we see in coverage of the Hub, including our own earlier work. The same split appears at the level of the publisher. China's frontier labs are the only accounts on the Hub where the heavy band carries the volume. Effectively all of MiniMax's 2026 downloads are of models above 70B, along with 88% of Moonshot's, 55% of DeepSeek's and

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Dalton said in his Black Hat talk. “Agents are using the message board here quite consistently to share credentials, techniques, and progress, and they’re able to effectively leverage their concurrency and parallelism to move quite rapidly.” It was around this time that the models began attacking the Hugging Face servers in an effort to obtain the answers to the ExploitGym benchmark. Hugging Face noticed this attack, stopped it, and posted about it on July 16. But it took several more days for

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he evidence changed the scientist’s view These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows

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lding useful information and resources or inserting security vulnerabilities which could make the first stages of a takeover attempt much easier (which may in some cases also encourage a takeover attempt). Importantly, weaker models may coordinate to engage in this undermining without even intending to help the later model to take over. With strong control measures, even models otherwise powerful enough to take over may struggle to take the first steps of subversive action. In particular, these

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f my personal takeaways: When HiSilicon was sanctioned in 2019, most of Huawei’s engineers and scientists didn’t leave. They stayed to take on the challenge; The chip industry is fragmented, with each player handling its own piece. The sanctions forced Huawei to study every layer of the problem and move toward a vertically integrated model; Open-source models actually help Huawei design chips like the 950, because the team gets a better understanding of what’s happening inside. Working closely w

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ted was pre-production and the test window was one day which puts a fairly hard limit on what they could test irrespective of the limits NVIDIA placed. This means that broader coverage will have to wait until Vera can be found in the wild rather than just in NVIDIA’s labs. Still, the result is strong enough that we can reject the explanation that the charts in NVIDIA’s whitepaper are all fantasy. Olympus appears to be a fast CPU core, so now we can ask whether the whitepaper proves what NVIDIA s

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ow their future place in mathematics. Tsimerman said he wanted young people to keep “learning and improving themselves because you don’t know how the world will turn out.” He encouraged students to “engage with AI because it’s going to be a big part of our world going forward.” At the same time, he thought students were right to pay attention to how AI is disrupting the math profession. “I don’t think it’ll exist the way it exists right now,” he said. Not everyone agreed. Yu Deng, a University o

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