Omkar Pathak

202 posts

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Omkar Pathak

Omkar Pathak

@pathomkar

PM on Foundation Models, Gemini-based personalization, coding agents YT/Deepmind. Prev. Google Brain, TPU, Assistant/Bard. Also building https://t.co/SeUfhnr2v1.

SF Bay Area, CA Katılım Nisan 2011
331 Takip Edilen168 Takipçiler
Omkar Pathak
Omkar Pathak@pathomkar·
I don't know when this /btw feature was launched in Claude Code, but it is absolutely delightful! Also, discovering new features in the terminal is somehow more fun than in the app.
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Reiner Pope
Reiner Pope@reinerpope·
We’re building an LLM chip that delivers much higher throughput than any other chip while also achieving the lowest latency. We call it the MatX One. The MatX One chip is based on a splittable systolic array, which has the energy and area efficiency that large systolic arrays are famous for, while also getting high utilization on smaller matrices with flexible shapes. The chip combines the low latency of SRAM-first designs with the long-context support of HBM. These elements, plus a fresh take on numerics, deliver higher throughput on LLMs than any announced system, while simultaneously matching the latency of SRAM-first designs. Higher throughput and lower latency give you smarter and faster models for your subscription dollar. We’ve raised a $500M Series B to wrap up development and quickly scale manufacturing, with tapeout in under a year. The round was led by Jane Street, one of the most tech-savvy Wall Street firms, and Situational Awareness LP, whose founder @leopoldasch wrote the definitive memo on AGI. Participants include @sparkcapital, @danielgross and @natfriedman’s fund, @patrickc and @collision, @TriatomicCap, @HarpoonVentures, @karpathy, @dwarkesh_sp, and others. We’re also welcoming investors across the supply chain, including Marvell and Alchip. @MikeGunter_ and I started MatX because we felt that the best chip for LLMs should be designed from first principles with a deep understanding of what LLMs need and how they will evolve. We are willing to give up on small-model performance, low-volume workloads, and even ease of programming to deliver on such a chip. We’re now a 100-person team with people who think about everything from learning rate schedules, to Swing Modulo Scheduling, to guard/round/sticky bits, to blind-mated connections—all in the same building. If you’d like to help us architect, design, and deploy many generations of chips in large volume, consider joining us.
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Omkar Pathak
Omkar Pathak@pathomkar·
Although GPT 5.2 is out, the idea here is to evaluate the "Thinking" architecture, and the structural bias here seems to persist across incremental model updates. Same prompt, yet 2.3x token difference! Part 1: omkarpathak.substack.com/p/part-1-a-for… Part 2 about steerability coming soon!
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Omkar Pathak
Omkar Pathak@pathomkar·
For frontier models, model personality is an invisible layer of the UX for consumer apps. I conducted a 2-part eval of Gemini 3 vs. GPT-5.1 Thinking to see how their internal rewards handle prompt constraints. Result: Gemini seems 2.3x token-efficient than GPT! Post below
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Omkar Pathak
Omkar Pathak@pathomkar·
@bcherny Thank you for sharing! Could you share more on how to get Claude to iterate on UI/UX for webapps? I often find that opus is great at backend out of the box but its first attempts for new ui features tend to be somewhat off. I send screenshots and logs to CLI and ask it to fix.
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Boris Cherny
Boris Cherny@bcherny·
I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit. My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently. So, here goes.
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Omkar Pathak
Omkar Pathak@pathomkar·
@virattt Edgar data is not easy to parse. This will be super useful!
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Virat Singh
Virat Singh@virattt·
My stock market API landing page is live. Initial focus is fundamentals data. • starting with 10,000 stocks • optimized for LLMs and AI agents • no subscriptions or contracts • simple and clean API The waitlist is now live 🙏 I am setting aggressive goals for myself. Launching a beta API in next 2 weeks. Again, building nights and weekends only. Pumped to release this into the wild. cc @_buildspace @_nightsweekends
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Nick Huber
Nick Huber@sweatystartup·
What is the best work backpack to travel with? I have an Osprey Porter 46 that goes everywhere with me. Need one smaller to take to meetings that can be carried on planes as well.
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roon
roon@tszzl·
there comes a time in every man’s life where they realize they weren’t an investing genius and actually underperformed the S&P
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Omkar Pathak
Omkar Pathak@pathomkar·
@saxena_puru Agree that it is a strong business. What are your thoughts on valuation though, especially if we consider an increased macro risk or possibility of a broader drawdown?
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Puru Saxena
Puru Saxena@saxena_puru·
Snowflake breaking out from STAGE 1 base - - Cloud-based data platform - Growing rapidly, 30% rev CAGR estimate over 5 years - FCF positive, FCF margin trending higher - Strong management team - NTM EV/S = 18 I'm now long $SNOW
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Tim Ferriss
Tim Ferriss@tferriss·
For all of the most important things, the timing always sucks. Waiting for a good time to quit your job? The stars will never align and the traffic lights of life will never all be green at the same time. The universe doesn’t conspire against you, but it doesn’t go out of its way to line up all the pins either. Conditions are never perfect. “Someday” is a disease that will take your dreams to the grave with you. Pro and con lists are just as bad. If it’s important to you and you want to do it “eventually,” just do it and correct course along the way.
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San Francisco Chronicle
San Francisco Chronicle@sfchronicle·
OPINION: For S.F. to survive the challenges we face, we need to redefine our urban landscape by drawing inspiration from successful cities like Tokyo. trib.al/RP92WMO
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Replit ⠕
Replit ⠕@Replit·
We collaborated with Bard, an AI experiment by @Google, to optimize your coding workflow. When you use Bard to help with coding, you can now export Python code to Replit. In your Repl, you can edit or test it to bring your ideas to life. Try it out → goo.gle/44HGpJH
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Cullen Roche
Cullen Roche@cullenroche·
Your periodic reminder that T-Bills are paying 5.5% without state taxes. This is the highest rate in over 20 years.
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Omkar Pathak
Omkar Pathak@pathomkar·
@lennysan Congratulations on the growth! Great podcast. Considering the quality of the podcast, I would have never guessed that it’s only been a year. 🎉🚀
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Lenny Rachitsky
Lenny Rachitsky@lennysan·
Happy 1-year anniversary to Lenny's Podcast 💖 Here's a look back, and a few lessons.
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Jeff Dean
Jeff Dean@JeffDean·
Paper: TPUv4 system has an optically reconfigurable network to assemble groups of 4x4x4 chips like legos (4x4x12? 16x16x16?). SparseCores help w/ embeddings. TPUv4 outperforms TPUv3 by 2.1x & perf/W by 2.7x, & has 4096 chips so ~10x faster overall. .arxiv.org/abs/2304.01433#
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