engineer

El Segundo, CA
Joined October 2020
Gleb retweeted
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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This is exactly how we should be teaching AI to invent — build a human-run lab env and reward first principles science. C5R is starting with benchmarks, but I’m stoked to see this scale for training. This is how we make 2027 the year of the AI inventor.
In 12 weeks, we built a research facility that is run entirely by AI. AI designs, executes, and observes experiments end-to-end across biology, chemistry, and materials science. We’re introducing SciUniverse: a benchmark that measures AI’s ability to do real-world scientific research.
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We need so much of this.
We’ve secured $75M in financing to build Solcoa One, our first commercial rare earth metallization plant.
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Gleb retweeted
In 12 weeks, we built a research facility that is run entirely by AI. AI designs, executes, and observes experiments end-to-end across biology, chemistry, and materials science. We’re introducing SciUniverse: a benchmark that measures AI’s ability to do real-world scientific research.
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The results are in for @DIU_x Drone Gauntlet II. We’re proud to place #1 in Close Quarters Battle and #3 for Deep Strike, and to be the only drone manufacturer in the top 5 placement for both missions. These results are a testament to the adaptability of our Archer FPV system, designed from the ground up to flex to the needs of the military operator in every battlefield scenario. As the only manufacturer with Gauntlet I drone commitments fully shipped and accepted, we’re standing by and ready to fulfill against the expected 14k drone order from the Department of War. Major kudos to everyone on the Neros team for working tirelessly in support of Gauntlet II, and onward to Gauntlet III.
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So, so, so bullish on Poseidon & what they’ll do with this new facility.
Poseidon Aerospace has expanded into our new 110,000 sqft HQ in Alameda, California! Our new facility is at Alameda Naval Air Station, a former Navy hangar with an incredible history of building and supporting American aviation. We're bringing aerospace manufacturing back to it. This facility will become the home of Poseidon’s production and manufacturing operations. Over the next few years, a lot of airplanes are going to come out of these doors.
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I'm excited to release mjbatch, a simple tool that lets you step thousands of MuJoCo simulations in parallel on your CPU, all from the comfort of Python! github.com/kevinzakka/mjbatc… To show how far this primitive can take you, I built some fun, self-contained examples with it 👇
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Today, after 7 years in stealth, I, @emeskey and our co-founders are proud to announce @keplercompute. The world is much better off when we give power & intelligence to the people. When everyone can become their highest selves by pairing their human creativity with the exponentially rising intelligence from our magnificent computers. Our goal is to unlock the power of frontier intelligence for everyone by pushing memory and logic chip manufacturing to the limits of physics. To achieve this, we will move the world from one of compute scarcity to abundance where we can make orders of magnitude more chips per dollar and can lower datacenter energies to the limits of physics. We will use physics to ensure we have enough chips and that we can power them on. Why is compute scarce? Today's dominant approach - shrinking transistors with EUV - has run into $20B-$40B fabs that take years to build. Sized against that risk, the industry (quite rationally!) grows capex much slower than AI demand that can grow 10x in a year. In the current system, scarcity is built in. A different way is possible. We founded Kepler on the following beliefs: 1. It is possible to build leadership chips without a dependence on EUV 2. It is possible to achieve multiple orders of magnitude more intelligence per watt by evolving chips 2D Silicon to 3D Beyond silicon 3. It is possible to get much closer to the physical limits of computing than we are today while staying within mainstream digital computing Memory is the biggest binding constraint on AI compute and so we start with a new frontier of AI memory- approaching the bandwidth per watt of SRAM, going up to 10x beyond the capacity of HBM. We use 3D and materials innovations that allow for leapfrogging leading nodes while requiring no EUV lithography and allowing us use fabs that already exist. Our team co-led one of the industry's first 3D chip-stacking technologies, has led and scaled seven generations of DRAM and multiple logic designs into billions of chips. We built the world's first commercial physical synthesis tool and techniques at the heart of the logic design industry and solved long standing challenges in ferroelectrics, invented beyond CMOS logic devices. We would love to work with you to reinvent chip manufacturing here in America. We have raised $468m, built our own fab and our AI memories sample this year and ramp to production next year. We are allocated for 2027 and will be scaling in America by 2028. We are open for business, please get in touch to work together. We are also growing the group of Keplerians and would love to work with you. Learn More @ Kepler: keplercompute.com/ Read our story in @WIRED: wired.com/story/a-new-dollar…
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New white paper just dropped
Rainmaker’s research team has developed a new capability that we are excited to share: Clearing overcast skies in specific meteorological regimes. This will improve aviation safety, solar power generation and more. White paper here: rainmaker.com/blog/cavum-sig…
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Gleb retweeted
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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Buckmaster + @__alpoge__ just posted a counterexample to Euler's equation! They show that the equations of fluid dynamics, in this case 3d Euler, can develop singularities. Here's a super rough sketch of the most basic version of the punchline. Post: mathstodon.xyz/@tristanbuckm…
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Astra makes coherent CAD designs, but doesn't really know how to make them practical or manufacturable.
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Yes!!!!
today we're launching Frontier Computing (YC S26) we grow neurons that colocate memory and compute, so you can more easily train ML models. here's one of ours playing Frogger. and we're building a 500M-neuron cluster. live EOY 2026. that's 2,500x larger than the major biocompute systems available today and we'll keep scaling until large model training on biocompute is widely accessible. after all, human intelligence is built on a lipid, amino acid, glucose and vitamin cofactor soup: eating food is less costly than eating GPU compute
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Working on a tiny repo to keep coding norms in sync across AI agents. Trying to make it simpler than Ruler / RuleSync. Would love feedback. github.com/gsttm/norms
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Rainmaker is cooking.
Rainmaker just produced ~19M gallons of water in Alaska via next-gen cloud seeding over 3 hours of operations. We are the first company to provably produce precipitation in Alaska. As promised, we’ve linked our white paper and relevant data. In the future, Rainmaker will protect and restore glaciers with man-made snowfall. Immediately, this demonstration shows how Rainmaker will add new water to the Colorado River and Great Salt Lake in the coming months. We turned around this analysis and white paper just a couple days after operating. There are many data sources I want to deepen our understanding of the atmosphere and increase our provable production; we’re building the instruments to collect that data in subsequent operations. But at Rainmaker, we won’t tout LOIs, simulations, or lab tests. What matters is physically measuring that you’ve affected the atmosphere; proving that we’ve produced water. We prefer sharing only the tech that has proven to make more water for farms, industries, and ecosystems in need. Expect a regular cadence of these from us as we build the best atmospheric science lab in the world. Feedback is welcome in the interim. Rainmaker Century. rainmaker.com/blog/alaska-va…
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Want to work in defense tech? 🇺🇸 I’m launching a new initiative to connect exceptional engineers, operators, and builders with early-stage companies at the frontier of commercial tech + national security — both in and outside the @ShieldCapVC portfolio. Engineering. BD. Ops. Finance. Product. And more. If you’re looking for your next opportunity, reach out or fill out the form below. Find a Mission that Matters.
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Neural controllers are also great for controlling exotic systems... like robot birds!
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