How to Get Ready for the Future
Intelligence itself now has a price — cost per token — and it is falling toward the cost of human labor. A field guide to positioning for the moment the two prices cross.
· 9 min read · futures, ai-ml
Writing
Essays on AI, robotics, inference optimization, and the future of intelligent systems.
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.
· 5 min read · ai-ml, futures
How I Spent $100 With No Result But Learned a Lot
Fourteen training runs, $110 in GPU costs, and one working model later — what fine-tuning Gemma 4 on web navigation actually looks like.
· 15 min read · ai-ml, inference
Making LLMs Faster Without Retraining
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%.
· 25 min read · ai-ml, inference
AI Is Getting More Expensive Than the Humans It Replaces
The biggest surprise of the AI boom may not be what AI can do — but how much it costs to run it at scale.
· 7 min read · ai-ml, futures
What I Think RAG Gets Wrong
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.
· 10 min read · ai-ml
What is intelligence, what is artificial and what is real
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.
· 9 min read · ai-ml, futures
The Kid Who Wanted to Change the World — and Kept Getting Closer
A personal essay on growing up obsessed with discovery, the longing to be at the frontier, and what happens when you finally get there.
· 7 min read · personal
The Agent Doesn't Need Your Map
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.
· 14 min read · ai-ml, futures
Life is a Reinforcement Learning Problem — And That Changes Everything
What happens when you apply the core ideas of Reinforcement Learning — rewards, exploration, delayed feedback — to your own life and career choices.
· 13 min read · ai-ml
Breaking the Linear Attention Barrier
Why inference gets slower as context grows, and the emerging solutions to break through the linear attention barrier.
· 16 min read · inference
Where the AI Value Actually Is
Not the hype, not the potential—where is real AI value being created right now?
· 12 min read · ai-ml, futures