I don't know if this is right because the models rank all of each other's work fully pairwise (and anonymized) and seem to agree on the ranking.
@karpathy
-
LLM Council Web App Dispatches Queries to Multiple Models
By
–
As a fun Saturday vibe code project and following up on this tweet earlier, I hacked up an **llm-council** web app. It looks exactly like ChatGPT except each user query is 1) dispatched to multiple models on your council using OpenRouter, e.g. currently: "openai/gpt-5.1",
-
AI-Generated Content Quality: Distinguishing Signal from Noise
By
–
Great reference ty. It still doesn’t get at more of theory of slop. As data lacking of insight. Filler. Something that “type checks” as information but isn’t. Style without substance. As something that, when attended to or trained on, does not aid compression of a world model.
-
Prize Recognizes Foundational AI Work: Data, Compute, Algorithms
By
–
I love that the prize recognizes foundational work in all 3 pillars of AI (data, compute, algorithms), congratulations Fei-Fei!!
-
PyTorch Framework Transition: Pleasant Developer Experience
By
–
Great run Soumith! Of all the deep learning framework transitions I've been through where I re-wrote ~all of my code (matlab -> caffe -> numpy -> torch -> pytorch), the PyTorch one was most pleasant and now significantly longest lasting. It hit a jackpot of the time in the
-
AGI Definition: Feature-Complete Remote Worker with High Reliability
By
–
When I say AGI I mean a "feature complete" build of a remote worker with a lot of 9s (think: a bit like current Autopilot FSD, maybe plus a few more iterations). This is the original definition I've stuck to forever. Separate from the diffusion /implementation of it across
-
PyTorch MPS Backend Bug: Silent Tensor Contiguity Failures
By
–
Beautiful technical debugging detective longread that starts with a suspicious loss curve and ends all the way in the Objective-C++ depths of PyTorch MPS backend of addcmul_ that silently fails on non-contiguous output tensors. I wonder how long before an LLM can do all of this.
-
AI Model Monetization and User Empowerment Strategy
By
–
It’s my model I can do whatever I want. So now I am king. You can be too for $100.
-
Building Free AI: NanoChat’s Vision Beyond Traditional Assistants
By
–
I find it surprisingly addicting. I have so many ideas for personality, style, capabilities. I want nanochat to be a free AI, like Dobby the free elf, not some "assistant".