AI model-training startup AfterQuery has reportedly raised a round that valued it at $3.2 billion, just five months after announcing its $30 million Series A at a $300 million valuation in April.

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YC AI / 11:45 AM

Sentient OS launched from YC as an AI company

Sentient OS is a Fall 2026 YC AI company: On-device AI that knows your entire life and does your work overnight.

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YC AI / 6:38 PM

Dream launched from YC as an AI company

Dream is a Summer 2026 YC AI company: Using VLMs to Catch Real World Damage.

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TechCrunch AI / 11:00 AM

AI code-testing startup Blacksmith’s valuation jumps almost 10x in less than a year

Blacksmith says revenue has grown more than tenfold over the past year.

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Hacker News AI / 10:08 PM

Hacker News discussion: QM: We read Y Combinator's company-wide agent runtime

Hacker News readers are discussing "QM: We read Y Combinator's company-wide agent runtime" with 3 points and 0 comments.

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Simon Willison LLMs / 4:16 AM

Open letters about AI development

Open letters about AI development I wrote this summary of the past few weeks of open letters as a section of my sponsors-only newsletter but I've decided to share it here as well. Open Weights and American AI Leadership was shepherded by Microsoft, dated July 24th, and signed by 235 AI-adjacent companies including NVIDIA (see Jensen's first ever tweet ), Amazon, Y Combinator, The Linux Foundation, and (a later signer) OpenAI. It's clearly an argument designed to counter any instincts by the current US government to ban or limit open weight models over "safety" concerns - a reasonable consideration given what happened to Claude Fable 5 ! Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect. And concentrating advanced AI capabilities behind a small number of closed models compounds that risk. It results in a small number of single points of failure, weakens competition, and leaves critical technology in the hands of a few providers. Open weight models, on the other hand, allow a broad community of researchers and developers to examine their behavior, identify vulnerabilities, develop safeguards, and improve them over time. The one surprising note in the letter is that it comes out in support of distillation, where models train on output from other models: In shaping this ecosystem, policymakers should be careful not to conflate legitimate model-development techniques with misappropriation. Distillation, or the practice of using one model’s outputs to help train or improve another, is a widely used technique for model improvement, evaluation, and validation. It reflects a long tradition of learning from, building upon, and improving existing technologies, a tradition that has helped drive innovation since the rise of the open-source software movement. Notably absent from the signatures: Anthropic, who published their own response Our position on open-weights models three days later. CEO Dario Amodei doubled down on the risk of authoritarian governments building "AI models that are more powerful than those built by the US", and models being "misused to carry out cyberattacks or biological attacks", and called for "a crack down on industrial-scale distillation operations ", while also stating that "Anthropic has never advocated for a ban on open-weights models". Then on July 28th Pacing the Frontier was published, featuring signatures from "1,324 employees of frontier AI companies" - with names like Jakub Pachocki (Chief Scientist, OpenAI), Ilya Sutskever (Safe Superintelligence Inc, previously OpenAI), Dario Amodei (Anthropic), Jack Clark (Anthropic) and more. Their core message: We request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development. Their concern is intense competitive pressure combined with accelerated AI progress caused by automated AI research - and given that Anthropic produce 80% of their code with Claude Code , OpenAI had Sol reduce their end-to-end serving costs by 20% , and Kimi K3 designed a chip to serve a nano model built on its own architecture , you can see why people are taking that risk more seriously right now. Tags: ai , openai , generative-ai , llms , anthropic , ai-ethics

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YC AI / 12:43 AM