learning from first principles
Joined May 2025
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i can understand the intent behind it, but the current version of chatgpt, where it loads visuals in addition to text (it should have always been text), takes noticeable time to load, making the UI look buggy/laggy
reading about how warp divergence has evolved across GPU generations
arxiv.org/pdf/2607.23402
reading about kernel-smith today (also found out about InternLM through this)
arxiv.org/pdf/2603.28342
I’ve always felt like Rabbit’s form factor was quite good.
interesting read. it provides a thorough walkthrough of triton, starting from the basics and building all the way up to a full implementation of the mamba algorithm.
srush.github.io/annotated-ma…
the genie is already out of the bottle and dario is still debating how fast to open it
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
when the going gets tough, the tough get going. i am certain the whale will take us to the moon.
funnily, most people are interested in it mainly because of the conspiracy involved, not the actual math. people just love gossip.
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.
reading about the the anatomy of a triton attention kernel today
arxiv.org/pdf/2511.11581
