Excited to share Aryabhatta 1.0, our leading model that scores 90.2% on JEE Mains, outperforming frontier models like o4 mini and Gemini Flash 2.5 Trained by us at @AthenaAgentRL , in collaboration with @physics__wallah, using custom RLVR training on 130K+ curated JEE problems 7B parameters and 4K context is all you need to crack JEE Also, you don’t need to blindly follow GRPO. Custom objective functions make a huge difference Details below 👇

how to do the sales 101 thanks sensei 🙏🏻

this is why open source is important @cohere can share the traces and everyone can figure out what's wrong

this is why gate keeping the models is risky for true safety, more eyeballs is the only way

one person neolab soon ... awesome work!

this is the energy to bet on

such a sad future prediction

open weight muse spark + mai tech blog post it’s a good day 🤗

Some exciting updates! A bunch of @lossfunk residents have raised funding + a few Lossfunk incubated companies have received $25k each in Google Cloud compute credits. More details below 👇 --- @HariAyapps, who's building @archgen_, got into YC W26 🥳🥳 Residents who started building at Lossfunk got into @joinef S26: the @oruel_inc team (@chastronomic, @prb5h, @nihipap) and @suryamaddula_ building @WhisperwaveAI Former Lossfunk researcher @harshablast started Dirac Robotics as part of @joinef S26 --- A total of $175,000 in compute credits has already been disbursed to 7 Lossfunk-incubated companies, and 9 more are in the process of receiving them. Thanks, @googlecloud, for the credits. • athenaagent: @sachdh • attenor: @ViraajG1 • autr: @V_J_S_1 • fpvlabs: @levelheaded_94 • grit: @timbresociety • prometei: @navbenny • scoutfox

pacing the frontier with @sachdh

intelligence is jagged new law would be use the cheapest and lowest latency model which is good enough for your tasks

This is so important. For once, Cybersecurity needs to say out loud what we've always followed: skepticism is not the same as paranoia. We've always had to argue with optimists who belive Cybersecurity is needless overkill. All our comms and narrative is built for that audience. For the first time we are dealing with doomers who belive bad things cannot be avoided. Good Security folks know that's not true. We have agency and we have the smarts to build solutions for thorny problems. Skepticism+ correct amount of resource allocation is what we need. It's hard, but doable.

stable-worldmodel got into neurips 2026! it's basically everything we keep rebuilding for world model research (data loading, baselines, planning, evals) in one place so nobody has to do it again arxiv.org/abs/2605.21800

the chai must go on (gatekeeping this place in indiranagar)

if public benchmarks are so flawed, can you imagine the state of private environments

new blog on my explorations @ prime residency "Honey, I Looked at the Data of a Frontier Benchmark and Found some Issues: Porting Agents' Last Exam Linux CLI subset to Verifiers v1" is up now. got to work with florian (@xeophon) as my verifier on this. sankalp.bearblog.dev/porting…

the chai must go on

I have conducted an audit of Anthropic's finances. What I have found is so shocking that I am calling for a Congressional investigation. Anthropic is not just seeking regulatory capture. It has built a regulatory capture machine that cannot be turned off. Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle. It starts with METR. Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models. He proposes METR for this purpose. But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock. Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio. And GVF is the overwhelming funder of the entire Anthropic Network ecosystem. This stock was worth $500 million early last year. It is worth more than $7.7 billion just ~16 months later. METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth. Because if Anthropic goes under, many of the organizations that fund METR go under as well. But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much. The "third-party evaluator" is not "third-party" at all. The evaluator is on Anthropic's payroll. If this were the end of it, that's bad. But that isn't all. The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom. The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others. They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's. All of these organizations are financially dependent on the same exploding $7 billion money pile. As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder. Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created. From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts. This itself is an objective fact. The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it. But the problem also goes in the other direction: If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die. Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen. Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly. They simply are not organizations independent of Anthropic. And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly. What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations. The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture. And that feedback loop is winning. That's what Jacob Coxon is. China is keeping messaging tight. That is why optimism for AI is so high in China. America has Anthropic: a massive company pushing anti-AI propaganda at a state level. Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences. Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully. It is the mirror of the same AI virus that it hypothesizes to consume America. Anthropic's business model, models itself after the very thing it claims to fear. Except Anthropic's ideology infects humans, not computers. Congress must investigate. Evidence and Github in next post. Then some supplementary figures.

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement. I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible. But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier. Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want. Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well. So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it. If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.

Some great ideas here from the cartel: - you need to give us employee-level access to your entire operation - if we don't think you're 'safe' enough, sorry we're shutting you down for 'safety' - China won't comply, but everyone else has to! or no chips! Brilliant stuff.

Building games with GPT-6 Astra is so much fun! Built a racing game set on Bengaluru’s ORR, from Bellandur to Marathahalli. Tried to capture the familiar chaos: traffic congestion, potholes (h/t @HarveenChadha), Swiggy, Zomato, and Blinkit delivery riders, and metro construction. And for some Road Rash nostalgia, you can swing a rod at vehicles alongside you to make room 😂 (h/t @ptkbhv). Give it a try: orr-rush-bengaluru.ravitheja…