Joined October 2007
5 Photos and videos
Lab in the loop — done right
NEW CASE STUDY from @diffuse_bio: up to 1000x tighter protein binding in 1 week -- unprecedented performance and speed 🧵
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Tudor Achim retweeted
ICYMI: A few quality of life improvements landed in Aristotle Web to make it much more interactive and responsive: ▪ Live Updates. Aristotle can now share updates while it's in the middle of a run, so that you always know what it's doing and whether it's on track. ▪ Steering. You can message Aristotle while it's working if you want to redirect it, or if you just want to let it know it's doing a great job. Keep the feedback coming; we'll continue cooking ...
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You probably didn't know that protein design is data bottlenecked, with the past 5 years of work derived from 250K insanely expensive structures in the PDB collected from the 70s onward (growing just 50/day!). @diffuse_bio expands its lead in web-scale data unlocks with ProxyTm
Announcing ProxyTm: our platform for measuring protein thermostability at library scale 🔥🌡️❄️ ProxyTm is 100–1000× lower cost and higher throughput than conventional methods like CD spectroscopy or DSF 1/
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Three years is the upper bound
Tudor Achim (@tachim) is convinced that AI will surpass every human mathematician within the next three years. At the center of that claim is Aristotle, @HarmonicMath's mathematical agent and the first of its kind. When you delegate a reasoning task to Aristotle, the answer it provides will always be correct. Every LLM available today can do math. The problem is that the answers look plausible, and looking plausible is not the same as being right. To catch the errors, you need to already be a professional mathematician. Aristotle does not ask that of you.
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Tudor Achim retweeted
We’re building the future of mathematical reasoning, and we need the right interface to bridge the gap between human and machine. Harmonic is hiring a Frontend Engineer to lead the evolution of Aristotle’s UX. Help us make complex reasoning intuitive.
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Speed is everything
Early-stage protein drugs usually have weak connections and molecular flaws that take months of tedious lab work to fix. @diffuse_bio just proved they can solve both issues in about a week, boosting connection strength up to 50x while wiping out the flaws. Every test makes their agents smarter, moving us closer to true AI-driven drug design.
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This is the RLVR moment for protein design. Yet another groundbreaking result from Diffuse Bio. The team is cooking — a new major experimental unlock every month. One of the fastest moving teams I’ve seen
Update: we can now do affinity maturation in as little as 1 week with RamaX Opt from @diffuse_bio! To our knowledge, this is the fastest affinity maturation method available, outperforming even the most advanced existing experimental and AI approaches 🧵
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Tudor Achim retweeted
There are two possible futures: 1. AI companies generate the vast majority of major discoveries and inventions in-house, using their massive data-centers, and capture nearly all the value themselves. 2. AI companies build tools people can use, and the value and glory from the inventions / discoveries accrue to the users. This unleashes a torrent of mathematical discovery and entrepreneurial activity. The latter is the future we believe in and are working to build. The former is the dystopian one.
There are two ways to build AI for mathematics. One is to work in private and surface results after the fact. The other is to put real tools in the hands of mathematicians, learn from real use, engage in public, credit the community you build on, and support the ecosystem itself. We believe in the second model. Mathematics is a profoundly human endeavor. AI should strengthen mathematicians, not route around them. Build with mathematicians, not around them.
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This is a huge upgrade -- Aristotle can handle much larger and more complex projects than before. Stay tuned for what's coming next! 🚢🚢🚢
🦾Meet Aristotle Agent, the world’s first autonomous mathematician — live and currently free of charge. We designed Aristotle Agent to solve and formalize the world’s most challenging mathematical research problems. It is now: ☑️#1 in Formal Math: We’re the #1 formal math model according to ProofBench, by @ValsAI, ahead of the closest competitor by 15%. Aristotle Agent can autonomously prove/formalize for up to 24 hrs without human intervention. ☑️Fully Agentic: Give it an English problem and it will prove/formalize from scratch, or it can work and edit files directly inside your Lean project / repository. ☑️Github-ready: Aristotle agent produces repo-quality code; project leads are increasingly merging Aristotle-drafted PRs with no modifications. Now live across both web, CLI, and API. 🔥
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Tudor Achim retweeted
1/8 CompPoly is a library of machine-checked mathematics for concrete polynomial computation over rings and finite fields—the algebra behind modern cryptographic proof systems. @HarmonicMath Aristotle has recently made significant contributions to help close Phase 1 of the roadmap. @vladtenev @tachim
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It’s rare to see a model blow out the Pareto frontier like this — huge congrats to @StefanoErmon and team!
Mercury 2 is live 🚀🚀 The world’s first reasoning diffusion LLM, delivering 5x faster performance than leading speed-optimized LLMs. Watching the team turn years of research into a real product never gets old, and I’m incredibly proud of what we’ve built. We’re just getting started on what diffusion can do for language.
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Tudor Achim retweeted
Feb 21
V12 is now live for open beta. It can: - Find valuable bugs - Generate working, runnable PoC - Generate patch and test the PoC against it In our testing during audits at Zellic, Zenith, and Code4rena we've been consistently impressed. Best of all: it's free. (Don't abuse it!)
Feb 20
Replying to @claudeai
Impressive. Very nice. Now do this, but for smart contracts
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Fun discussion with @vladtenev and @labenz
@vladtenev & @tachim, co-founders of @HarmonicMath , join @labenz on @CogRev_Podcast to discuss building Mathematical Superintelligence — and why formally verified AI may be the only path to AI we can actually trust. They cover: Mathematics IS reasoning — making it the ideal domain for AI to go superhuman first How Aristotle won IMO Gold using Lean, Monte Carlo Tree Search & lemma-guessing — while massively outpunching its weight vs. the big labs Why the formal vs. informal debate is settled — no human can read a 5,000-page AI-generated proof How Lean replaces prestige-based peer review with computational certificates — the GitHub moment for math Why hallucinations are a feature, not a bug — entropy is what lets the system explore paths no human has tried The 2030 vision: multiple competing grand unified theories of physics, all self-consistent — waiting only on collider experiments to tell them apart
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I remember talking to @Leonard41111588 in 2023 as we were getting Harmonic started -- really proud that we're able to support the FRO in a real way today.
Today we're donating $300k to @leanprover as the inaugural sponsor! We believe the future of mathematical reasoning lies in formal verification. Our model, Aristotle, uses Lean to eliminate errors and verify results. We're thrilled to support the tools and people that make safe, accurate Mathematical Superintelligence possible.
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RamaX unlocks rapid and scalable validation of protein designs, which has been the key bottleneck for protein generative modeling ever since @namrata_anand2 's original breakthrough on diffusion models. Now, you can use it downstream of SOTA models in one click!
Announcing a unified pipeline for end-to-end protein binder design and experimental validation at scale. 🤖🤝🏾🧬 DiffuseSandbox ➡️ RamaX
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Tudor Achim retweeted
I'm giving a talk about automatic formal verification of computer hardware using @HarmonicMath's Aristotle system at the University of Cambridge at their CS department on Thursday 26 February 2026 at 2PM in room FW26. The talk is open to the public. talks.cam.ac.uk/talk/index/2…

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Tudor Achim retweeted
Thanks for the thought-provoking piece. My main critique is that you are overemphasizing flashy but low probability events like “left-handed bacteria,” while merely giving lip service to the risk of extreme economic concentration of power, which is very real and materializing as we speak. Anthropic is reportedly raising funds at a $350B valuation, and the wealth created thus far has been concentrated into a few hundred (perhaps more like dozens) high net worth individuals / institutions. It’s looking increasingly likely to me that none of the leading AI labs will IPO until they reach valuations in the trillions, at which point retail investors will finally be able to get shares. In order for retail to get a 100x return on these investments, which was achievable for Apple, Microsoft, Amazon, and Google, the valuations of the AI labs will need to reach hundreds of trillions of dollars, meaning it’s likely too late for a more equitable redistribution of wealth. Simply put, you are currently exacerbating the problem. The consequences of this are that voters may take matters into their own hands and push for either or both 1) more aggressive / nonsensical forms of redistribution — the CA Founders’ Tax is just the beginning or 2) a drastic knee-capping of the AI industry in America, which make the CCP dominance scenario more likely. The solution is to enable retail ownership now, increasing the number of Americans with economic exposure to Anthropic and other AI labs from hundreds of people to millions.
The Adolescence of Technology: an essay on the risks posed by powerful AI to national security, economies and democracy—and how we can defend against them: darioamodei.com/essay/the-ad…
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Whoa
We formalized FRI soundness in Lean, using @HarmonicMath and Claude Code. - FRI analysis by @nico_mnbl and collaborators - turned into a Lean proof by @pirapira 🔥
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