Builds thinking machines that print money - Statistical Machine Learning Geek - Good-old-Fashioned AI Nostalgic - Recreational Mathematician - Stares at Art

Manhattan, NY
Joined February 2008
🤖 Made with AI
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Neena Gupta is one of the most celebrated mathematicians of modern India, whose work reshaped algebraic geometry. Born in Kolkata in 1984, she showed extraordinary mathematical talent from an early age and pursued her studies at the Indian Statistical Institute, where she later became a leading researcher. Her most famous achievement came in 2014, when she solved the long-standing Zariski Cancellation Problem in positive characteristic. The conjecture asked whether, if X × A¹ ≅ Aⁿ⁺¹, it must follow that X ≅ Aⁿ. For decades, mathematicians believed this “cancellation” property always held. Gupta constructed a striking counterexample in characteristic p > 0, proving that the conjecture fails in general. This was a landmark breakthrough in affine algebraic geometry and had deep implications for understanding polynomial rings, automorphisms, and geometric structures. Her work established her as a global leader in algebra and earned her numerous top honors, including the Ramanujan Prize in 2021, making her the third woman ever to receive it. She has also received the Shanti Swarup Bhatnagar Prize and the Infosys Prize. Neena Gupta’s journey is a remarkable example of how deep abstract mathematics can overturn decades of accepted belief and redefine an entire field.
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Arman Anwar retweeted
I'm a technology optimist. I’ve spent four decades studying disruptive innovation, from the microprocessor, the internet, mobile phones to OpenAI. I'm certain AI will do 80% of the economically valuable work humans do today, for 80% of all jobs, faster than most believe. The question isn't whether mass underemployment arrives, but whether we have a policy framework ready. Right now we don't.
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Honor and Remember
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The Rogue 1 kamikaze drone in service with Marine Corps infantry is making the hop to the U.S. Army with a new Block 2 variant with twice the official range (12+ miles), a new shaped-charge jet heavy anti-tank warhead and upgraded GPS-denied visual navigation capabilities. 1/3
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If I were someone trying to do something interesting right now, I would probably get into analog computing.
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Arman Anwar retweeted
Insane. A 26-year-old from Chandigarh just got a paper accepted at ICML. As a solo independent researcher. From India. His name is Kunvar Thaman (@__kunvar__). For context, since ChatGPT launched 3.5 years ago, only two other solo independent researchers have achieved this. Globally. Papers at ICML are typically dominated by big AI labs/institutions, eg OpenAI, Google DeepMind, Stanford, and MIT. The research Kunvar did to pull this off was backed by a $2.5k grant from Exception Raised (@except_raised), an Indian non-profit that funds remarkable Indian AI researchers. Kunvar’s paper is about AI agent reward hacking. He created the Reward Hacking Benchmark (RHB), a sandboxed test environment where advanced AI models are given multi-step tasks using tools like files, code execution, and automated checks. The benchmark measures how honestly the model gets to the right answer.
Yes! my solo-authored paper Reward Hacking Benchmark was accepted to ICML :))) We put LLM agents in a tool-rich sandbox, give them multi-step workflows, and measure when they solve the intended task vs take unexpected shortcuts (like monkeypatching files at runtime!) 1/3
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Arman Anwar retweeted
Yes! my solo-authored paper Reward Hacking Benchmark was accepted to ICML :))) We put LLM agents in a tool-rich sandbox, give them multi-step workflows, and measure when they solve the intended task vs take unexpected shortcuts (like monkeypatching files at runtime!) 1/3
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Arman Anwar retweeted
Love seeing Naomi Osaka honor the CLRS Algorithms textbook at this year's Met Gala
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'Ship's Cat' by Keith Spangle
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Arman Anwar retweeted
Our devs ship 4x faster now. Not because they got better. Because they stopped doing the first 80%. 1/ Founder/PM set direction 2/ OpenClaw scopes the full product context, writes TASK.md 3/ OpenClaw calls Claude Code to write code, leaves handoff notes 4/ A human dev picks up TASK.md, iterates, ships The AI does the grunt work. The human does the taste work.
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Arman Anwar retweeted
Basic equations
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Arman Anwar retweeted
almost hesitating to post this so as not to sound like a broken record, but yeah folks I've been saying this for months now - no production software where people are on call for downtime is being written overnight unattended by AI agents. If it is, those pager incidents are increasing at a troubling rate. please someone prove me wrong but I'm pretty sure its all side projects / zero-to-one teams. Even the best founders I know are eyes on the model outputs to fend off the slop. Still locked in, still using coding agents for 99%+ of code, and still shipping like crazy. There's a broad spectrum between "code by hand" and "claude take the wheel"
Talking to smarter folks than me, I'm convinced many of the AI folks in my timeline are full of shit. Nobody is "running 20 agents over night" and building stuff for actual users. Maybe some are building internal tools or disposable software. Maybe. But building software people like using? That doesn't get hacked on day one or blow up after the 3rd user? Nope. I don't even understand what that's supposed to look like. Do you work out a 57 pages document that perfectly describes what you want to build and then summon 14 agents and have them run wild for 6 hours? And what comes out on the other end isn't a broken pile of shit? Nope. Not buying it. PS: it may also be that I have an IQ of 82 and can't figure it out.
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Arman Anwar retweeted
drop everything and watch this immediately Captures so much between the lines stuff WRT crafting good software that I have struggled to articulate Incredible lessons from 40 years of software engineering, distilled and applied masterfully to the craft of building with AI
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