AI Is About to Get a Lot Less Helpful
The broad, freely accessible AI we use today is the opening move, not the endpoint. Here's how controllable AI will reshape who holds power over knowledge.
Essays on AI, robotics, inference optimization, and the future of intelligent systems.
The broad, freely accessible AI we use today is the opening move, not the endpoint. Here's how controllable AI will reshape who holds power over knowledge.
A personal experiment log testing multiple compression techniques across two model scales, ending with a GPT-2 Large that runs 1.6× faster and outperforms its uncompressed baseline by 13.7%.
The biggest surprise of the AI boom may not be what AI can do — but how much it costs to run it at scale.
We've spent years building better retrieval. The problem isn't retrieval — it's the index. And generative AI finally gives us the tools to fix it.
A framework for understanding intelligence across its three forms — embodied, linguistic, and abstractive — and what it means that AI learned from the most complete one.
A personal essay on growing up obsessed with discovery, the longing to be at the frontier, and what happens when you finally get there.
We build harnesses around AI agents. A recent DeepMind paper asks whether the agent could have built a better structure than we did — and what it means that the answer is yes.
What happens when you apply the core ideas of Reinforcement Learning — rewards, exploration, delayed feedback — to your own life and career choices.
Why inference gets slower as context grows, and the emerging solutions to break through the linear attention barrier.
Not the hype, not the potential—where is real AI value being created right now?