those aren't secrets you dummies those are the files on the user's VM, this is intended behavior

Thrilled to announce @TalBroda has joined Khosla Ventures! He’s bringing his experience building AI infrastructure to the founders we back. At OpenAI, he led more than a dozen teams that built and operated the hardware and software serving OpenAI’s models. He helped lead GPT-4.5 training, participated in the development of OpenAI’s first custom inference chip, Jalapeño, and contributed to Stargate. Previously, he headed up platform at Citadel Securities. He’s tackled the infrastructure challenges AI founders face firsthand, and we’re excited to have him in join KV! wsj.com/pro/venture-capital/…

Claude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more: anthropic.com/news/claude-di…

We built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next. Using only 1,300 H200s, plus months of our experimental data, we mid-trained and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon. This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials. Read our blog posts below.

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained more-or-less in the dark about the scope of the conspiracy. I’ve spent the last three days reading through these reports and trying to understand exactly what happened. Here is my attempt to tell the whole story in plain English: dwarkesh.com/p/openai-huggin…

Excited to announce I am joining Google DeepMind! I started my AI career in the Google Brain Residency class and am excited to rejoin. I am going to be working on RL and Post-Training – excited to announce more soon. Google has all the ingredients to continue to be incredibly successful in the AI space and am excited to be part of that mission.

We are excited to drive the research work of Tenet with Harvey, delivering frontier quality across 24 areas of corporate law. Tenet exceeded Opus5 and Fable at many dimensions, covering 1300+ legal tasks. There are many good findings from this work. Congrats @harvey team for launching Tenet!

One day we’ll realize we’re all just neoclouds with a value add on top

Excited to announce that Jeff Pinner has joined Exa as CTO! Jeff was formerly CTO of Robinhood, a distinguished engineer at Cruise, CTO of Lyft, and way back a systems engineer at NASA. We have humongous engineering and research to do at larger-than-google-scale and we need to do it quickly. Pinner has scaled massive ML systems before, super excited to work together on this one.

We've raised $700M at a $21B valuation from Jane Street, Kleiner Perkins, Sequoia, A16Z, Peter Thiel, BCV, and Blackstone. We're also excited to share that we've shipped our first rack to Jane Street.

Last week, Exa took over SF's Pioneer Building, previously home to Stripe, OpenAI, and most recently xAI. Elon assembled the Colossus cluster here (his mattress was still lying there during our tour). Alec Radford trained GPT-3 here. The Collison brothers built the web's financial backbone here. They were all infra companies: Stripe -> Financial infra OpenAI -> Intelligence infra xAI -> Compute infra Each entered Pioneer as a small startup with enormous ambitions and left as a foundational layer for the world. Exa -> Information infra We entered Pioneer as web search for agents, but by the time we leave we'll have organized all the world's data into a foundational information layer. This will require things like deploying satellites, new misinformation detection algorithms, and embedding retrieval on an outrageous scale. Whatever is necessary to keep billions of people and trillions of AIs as informed as possible. A trusted information ecosystem is necessary to safely navigate this chaotic AI era, an era that was set in motion by our previous occupants.

Today we are announcing Corma, and our $60M seed round led by @sequoia. @CormaAI is building foundation models toward superintelligence for defensive cybersecurity. We do that because general AI is becoming exponentially more capable in offensive security, while it hasn't been able to improve at the same rate in cyber defense - creating an inherent imbalance between attackers and defenders that otherwise cannot be addressed. Recent events have shown that building frontier AI models for defensive cybersecurity is one of the crucial unsolved problems of the AI age - and solving it is the generational mission Corma was founded on. Our foundation model has already far surpassed every general-purpose frontier model on defensive cybersecurity tasks, and we are committed to remaining the frontier of defensive cybersecurity intelligence. Corma is already protecting Fortune 100 companies and some of the world's most important organizations, across healthcare, finance, critical infrastructure, retail, and more. This is just the beginning, as we see it as our calling to protect every organization in the world that needs frontier defense. We are grateful to our partners @shaunmmaguire and @sonyatweetybird at @sequoia , @vkhosla at @khoslaventures , @DanRose999 at @coatuemgmt , and @Weiner_Lia at Netz Capital, who believed in our ability to lead the intelligence race in cybersecurity and make sure the defenders always win.

This is concerning. For the first time, a Chinese model Kimi K3 has taken #1 on the Frontend Code Arena and is scoring at or near the frontier on other benchmarks. Meanwhile America is tying itself in knots: politicians and bureaucrats are banning new data centers, piling on state regulations, and pushing for new federal agencies to pre-approve frontier models. This is how you lose the AI race. The rest of the world won’t play by our rules if we bog ourselves down. Permissionless innovation is how America won the internet and became the technological envy of the world. We can do it again with AI -- while addressing risks in a targeted way -- or we’ll watch our lead evaporate.

Introducing Aidan, your newest AI employee Aidan is the first computer-using AI built for realtime conversation We’ve raised $45M from @sequoia and @8VC to bring Aidan to the world @NotionHQ and @DecagonAI already use Aidan to run customer interactions. This is how @withsableai works: