raulpuri.eth

alright we can't hide it anymore come and see the pringle in all its glory at @iclr_conf

@unixpickle Pro openai or just less pro Anthropic?

Reddit seems a lot less pro-Anthropic than Twitter. I'm curious if this has been a trend before now too.

@xxtiange @drfeifei Curious where things are at now with newer models. Would be awesome if yall maintained a leaderboard

‼️VLMs/MLLMs do NOT yet understand the physical world from videos‼️ In our recent work, we found that even the most advanced AI models still lag behind humans in one key aspect: reasoning about the kinematic properties of objects from videos. Takeaways: 1. ChatGPT 5.1 leads overall among 21 advanced VLMs, followed by Gemini 2.5 Pro/Flash. 2. Grok 4.1 delivers impressive performance at the lowest API cost. 3. Qwen3-VL is the top-performing open-source model. Read here: quantiphy.stanford.edu 🧵1/N

messaging the top brass: guaranteed response within a few hours, p90 is under 5 minutes. messaging mid level: you may never get a response

3 years ago, we emailed Jensen with requests for Blackwell. Today, we released GPT-5.3-Codex, a SOTA model designed for GB200-NVL72. Nitpicking ISA, simming rack designs, and tailoring our arch to the system has been a fun experience! I'm grateful to our collaborators at NVIDIA.

> Some companies hire heavily out of Twitter, some hire from communities such as GPU Mode or NanoGPT speedrunning. To Nathan's point, I am leading an open source workgroup within the @GPU_MODE community (#teenygrad channel) in order to develop a deep learning systems course with an MIT-licensed book, codebase, and lectures which develops your own deep learning framework teenygrad from scratch which can run nanogpt. The project has access to some compute thanks to to the @LambdaAPI research grant (thank you @chuanli11) This project has been a labor of love the past few months, bridging a must-needed pedagogical gap from micrograd to tinygrad. The SITP book develops teenygrad framework step by step, from a numpy clone, to a pytorch1 clone, to a pytorch2 style compiler. The SITP philosophy subscribes to the same views as @karpathy on education: it's a technical problem whose solution requires a ramp with empathy: > ..education is the very difficult technical process of building ramps to knowledge...I feel like education is..a tangle of understanding and you're trying to lay it out in a way that creates a ramp where everything only depends on the thing before it. The project's primary challenge for better and for worse has been the breadth of scope. A lot of time was spent "curriculum engineering", and we are now just getting to implementing accelerated cpu and gpu kernels with automatic differentiation in earnest, but it has a good line of sight towards fusion compilation using tinygrad's RISCy IR. The good news for you is that now is a perfect time to help the workgroup, and to come join in learning from the best. There are some heavy hitters here led by @marksaroufim, @m_sirovatka, @a1zhang, @gaunernst and more. Links below ⬇️

@unixpickle @Noahpinion But wtf is courgette

ROCKET???

@unixpickle @Noahpinion This makes so much sense

@0x49fa98 Madeleine Boyd, Andrea vallone, tejal

@0x49fa98 Ppl that put the ball in the hoop and I don’t see listed elsewhere — isa fulford, allison tam, Christina Kim, mianna chen, Lia guy, Angela Jiang, Rachel Lim

LLMs playing the 1980's text adventure game Zork: affinelayer.com/zork/

Gotta monitor how well we can monitor

@rown @rown what’s the MultimodalBatch situation look like under the hood.

Today we are releasing Tinker to everyone, and now with vision input! You can now finetune a frontier Qwen3-VL-235B on your own image+text data, bringing your own algorithm (sft, RL, something else?). We'll take care of the GPU infra. Full update: thinkingmachines.ai/blog/tinker-ge…

@howdymj @isaiahmartin847 Where did you buy these keyboards?

rate my work setup

Pivoting my startup rq

Simple proposal: “Eataly but Chinese”

Hinton is no longer afraid of superintelligence.

@RafaelValleArt I meant more in terms of long term impact

@TheRealRPuri Gotta wonder how Michael Levin feels about that…

Robots are parse trees.

Google DeepMind's Nando de Freitas: "Machines that can predict what their sensors (touch, cameras, keyboard, temperature, microphones, gyros, …) will perceive are already aware and have subjective experience. It’s all a matter of degree now." I think we need to revisit the discussion of when consciousness and self-awareness begin.