Tarun Chitra

2000s: Conspicuous Consumption 2010s: Conscious Consumption 2020s: Conspicuous Consciousness?

Today, at the @DARPA expMath kickoff, we launched 𝗢𝗽𝗲𝗻𝗚𝗮𝘂𝘀𝘀, an open source and state of the art autoformalization agent harness for developers and practitioners to accelerate progress at the frontier. It is stronger, faster, and more cost-efficient than off-the-shelf alternatives. On FormalQualBench, running with a 4-hour timeout, it beats @HarmonicMath's Aristotle agent with no time limit. Users of OpenGauss can interact with it as much or as little as they want, can easily manage many subagents working in parallel, and can extend / modify / introspect OpenGauss because it is permissively open-source. OpenGauss was developed in close collaboration with maintainers of leading open-source AI tooling for Lean. Read the report and try it out:

Introducing Catalyst, the agent layer for all of finance. Turn any natural language idea into a live strategy: research, backtesting & execution. Don’t get left behind. Waitlist open, join now.

@ethereumfndn chooses protocols like @Morpho and curators like @gauntlet_xyz because of our experience managing $1.5B+ in TVL across top treasury assets like USDC and WETH. Our vaults prioritize longterm growth and capital preservation first. Treasuries should accept nothing less.

Announcing ETHConf 2026 Speaker: @tarunchitra, Founder & CEO of @gauntlet_xyz. Gauntlet manages risk for the largest DeFi protocols through quantitative modeling and simulation. The institutional layer of onchain risk management. June 8–10, NYC.

this was the real photoshoot and i was the creative director, which may explain why it looks good

I proposed to Buzzard taking on complete FLT back in the fall after we did the Prime Number Theorem. He laughed me out of the room. After Sphere Packing, he's not laughing anymore.

scaling autoformalization to the frontiers of mathematical knowledge and beyond will be one of the greatest engineering and scientific challenges of our time. join us at the bleeding edge of the revolution: math.inc/careers

Math, Inc. is proud to announce an all-star group of Veritas Fellows: Renowned professor Kevin Buzzard, alongside Fields Medalists Maryna Viazovska and Terence Tao. They will lead teams to build formal mathematics at unprecedented scale. 🧵

Privy and Gauntlet Partner to Offer Onchain Yield in Smart Wallets Builders that use @privy_io infrastructure can offer earn programs directly in the wallet. Users earn yield on their idle balances when applications integrate our yield strategies on @Morpho and @kamino.

Credit Rules Everything Around Me

Perhaps we’ll learn that agents call this “Ramanujan day” for insight that leads to proofs you don’t expect

Using Gauss, this is the first FrontierMath open problem to not only be solved but also autoformalized within hours of the solution being discovered. github.com/math-inc/Front… The formalization is native_decide-free and validated with @leanprover’s comparator. In addition to the uniform lower bound H(n) ≥ 26/25 * k_n for n ≥ 15, Gauss also verified the asymptotic lower bound lim inf H(n)/k_n ≥ 2ln(2). Combining with the upper bound in prior work of Brian and Larson, this yields H(n) ~ nln(n) as n → ∞. This is essentially the optimal result for this problem, and autoformalization greatly reduced the time required to validate the solution. In particular, Gauss was able to establish all the necessary theory within a few hours of the announcement of the initial informal attempt.

“People all just like coming in with their OpenClaws and collectively trying to one up each other with tasks they got their OpenClaw doing. It was like a bizarre phenomenon. Is this like a bragging contest?” -@tarunchitra

Trust Wallet users have over $50M in Gauntlet Vaults, with a ~2x increase in 2026 alone. Gauntlet Vaults on @Morpho are natively integrated with @TrustWallet, giving users access to sustainable stablecoin yield, without leaving the app. → 4 assets: USDC, USDT, USDA, DAI → 3 strategies: Prime, Balanced, Frontier Choose your strategy. Access yield. Withdraw anytime.

@AlanaDLevin Yeah but I feel (much like the financial analysts that study calls) they could probably be easily replaced by a prediction market + AI

@tarunchitra Haha that’s not my dream! I love earnings calls (they’re a better form of entertainment than most of what’s on Netflix imo)

Stray thought: if prediction markets become venues for trading pure play expectations around earnings (eg will a company beat on revenue, underperform on EPS, surprise on a KPI, etc), do earnings overall become a less volatile event? Imagine there would be less derivatives volumes around earnings and, as a second-order effect, maybe fewer instances of things like volatile short coverings

today i'm excited to announce kernel arena! 💻 we at wafer have been using agents and frontier models to outperform a variety of ml kernel libraries (quack, hipblaslt, aiter - to name a few). evaluating agents for kernel generation is a difficult task often left to "vibes" and we hope to close that gap. track how your favorite frontier models perform at writing kernels below!

OH: “The real longevity festschrift is PiHKAL, closely followed by TiHKAL”

"As AI systems generate millions of lines of code, mathematical proofs, and scientific designs, the bottleneck around scale becomes trust." #LeanLang #LeanProver #FormalVerification

"I started this journey with the dream that one day human mathematicians would work alongside artificially intelligent ones. I saw a future where machines would search for proofs at a planetary scale, eventually going beyond proof search to synthesize compelling definitions and abstractions in a self-reinforcing loop, and where one day mathematics would become a shared, formally verified, and mostly autonomous computational construct, like the operating system of a mainframe computer whose details are hidden from the end users." These were the first words of my PhD thesis, from nearly four years ago. My PhD advisor, Tom Hales, revolutionized the field of formal mathematics with the Flyspeck project. The ideas in this manifesto speak to one of the deep motivations for early herculean formalization projects like Tom's - after discovering methods that were so alien, new, and written at inhuman scale that human reviewers and the institutions sponsoring them couldn't keep up, Tom spent over a decade blazing a trail to determine the truth for himself and point the way for the rest of the field. @mathematics_inc is now ushering in an age where efforts like that will take days instead of decades and where anyone who dares to have courageous ideas will be able to see whether those ideas are true. We are thrilled to partner with @tarunchitra @ani_pai and @robotventures to embark on the rest of this journey to scale autoformalization to verified superintelligence and beyond.