
nadim farhat
330 posts








i’ve got an idea @RJScaringe…@Rivian licenses FSD from @Tesla and we help you get profitable posthaste 🫶🏻


Rivian R2 Full Tour! Battery, Range, Charging, Space, Software, Design & More youtu.be/JDnFVHZ0b2s?si…




Excited to announce Axiom’s Series A. We raised $200 million fresh capital at a $1.6 billion+ valuation in a round led by Menlo Ventures to accelerate our strong execution momentum — extending our lead in formal math into Verified AI. Mathematicians and theoretical scientists dream up theories, formulate hypotheses. They then come up with proofs, a two-step process of discovery. We created Axiom to turn the sparks of curiosity into known truths - and to compress the timeline of breakthroughs. The Verified AI dream is a generalization of this dream. It is more than providing safeguards for mission-critical systems. This same gap between expert intuitions and the machinery needed for grounding exists today in any domain where the generation-verification iteration loop can be tighter. And yes, software eats the world, recursive self-improvement is a near sight. Verified AI is not about hallucinations, what’s lousy; instead, it’s about superintelligence, the brilliant. We work on Verified AI not due to a distrust in technology, but rather, we think the rapid advances of AI compels it. I’m grateful to work with and learn from the best team in the world. It’s not an easy journey, but climbing with you is what makes it worth it. And can’t wait to build with a more accelerated speed - nod to @shubho for grounding an ambitious vision in relentless execution everyday. This round was led by @mkraning with @CCgong. Thanks also to existing investors who doubled down for your conviction since the start (@jturow, @mattmcilwain of @MadronaVentures; @marcievu of @greycroftvc; @yanda, @IdaGirma, @nickgiometti of @BCapitalGroup; @ChrisAbshire_ of @Toyota_Ventures; @xtzhou, @jhuber of @TriatomicCap) and the new firms who we got to meet through the process.








The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). The goal is not to emulate a single PhD student, it's to emulate a research community of them. Current code synchronously grows a single thread of commits in a particular research direction. But the original repo is more of a seed, from which could sprout commits contributed by agents on all kinds of different research directions or for different compute platforms. Git(Hub) is *almost* but not really suited for this. It has a softly built in assumption of one "master" branch, which temporarily forks off into PRs just to merge back a bit later. I tried to prototype something super lightweight that could have a flavor of this, e.g. just a Discussion, written by my agent as a summary of its overnight run: github.com/karpathy/autor… Alternatively, a PR has the benefit of exact commits: github.com/karpathy/autor… but you'd never want to actually merge it... You'd just want to "adopt" and accumulate branches of commits. But even in this lightweight way, you could ask your agent to first read the Discussions/PRs using GitHub CLI for inspiration, and after its research is done, contribute a little "paper" of findings back. I'm not actually exactly sure what this should look like, but it's a big idea that is more general than just the autoresearch repo specifically. Agents can in principle easily juggle and collaborate on thousands of commits across arbitrary branch structures. Existing abstractions will accumulate stress as intelligence, attention and tenacity cease to be bottlenecks.














