Dev Patel @devpatelio
@ucberkeley • @novaskyai • prev ai and npus @AMD • startups @healthenginecal devpatelio.vercel.app SF, CA Joined June 2022-
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Source: Stripe is in talks to buy back shares from its VC backers at a $106.7B valuation; Sequoia bought $861M worth of shares in 2024 at a $70B valuation (@danprimack / Axios) axios.com/2025/09/23/str… techmeme.com/250923/p19#a25… 📫 Subscribe: techmeme.com/newsletter?fro…
📸 Captures from our Meraki UofT Kick-Off Social
Introducing our co-hosts for this season 🫶 (@krupaad @_richapandya @kennykgguo @achettimada @ambiguousNull)
so excited for this season !!!
a question we've gotten many times since the early days of verifiers was: "can i train on just 1 GPU?" and sadly, the answer was no... until now, thanks to the SkyRL integration from @tyler_griggs_ and team, which unlocks colocated training + inference :)
Scaling agentic simulations is hard, so in collaboration with @anyscalecompute we wrote up our experience using Ray for agent sims—featuring an end-to-end RL example with SkyRL! Check it out here: anyscale.com/blog/massively…
📈‼️✊🏾
SkyRL x Environments Hub is live!! Train on any of 100+ environments natively on SkyRL today ➡️ github.com/NovaSky-AI/Sky… This was super fun to work on, the @PrimeIntellect team crushed it, go OSS!
SkyRL x Environments Hub is live!! Train on any of 100+ environments natively on SkyRL today ➡️ github.com/NovaSky-AI/Sky… This was super fun to work on, the @PrimeIntellect team crushed it, go OSS!
pretty awesome work!
Highly recommend poking through the Environments Hub, it's a lot of fun. Stay tuned for SkyRL integration... ✈️
Highly recommend poking through the Environments Hub, it's a lot of fun. Stay tuned for SkyRL integration... ✈️
come throughhhhhhhhh
introducing tiny-tpu, a tiny TPU, supporting both training and inference, ENTIRELY on chip! here is an overview of how I got started and how this was built:
I spent my summer building TinyTPU : An open source ML inference and training chip. it can do end to end inference + training ENTIRELY on chip. here's how I did it👇:
i remade tiny-tpu to support both inference and training! we successfully tested our architecture on the classic XOR problem. here's what i learned throughout the process:👇
i remade tiny-tpu to support both inference and training! we successfully tested our architecture on the classic XOR problem. here's what i learned throughout the process:👇 https://t.co/upJoqqH4I0
🚨 BREAKING: Detailed list of all 44 people in Meta's Superintelligence team. — 50% from China — 75% have PhDs, 70% Researchers — 40% from OpenAI, 20% DeepMind, 15% Scale — 20% L8+ level — 75% 1st gen immigrants Each of these people are likely getting paid $10-$100M/yr.
Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data
New Anthropic Research: Project Vend. We had Claude run a small shop in our office lunchroom. Here’s how it went.
looking for my next thing! thinking about dropping out. would love to learn more about opportunities within hardware acceleration or interpretability. dms are open. happy to chat. would love to hear what makes you excited!
Excited for the new release of #HuggingFace durant.ly/huggingface - proud investor! durant.ly/hfrelease

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