Research depth. Operator instinct. Institutional rigor. Built for the agentic era.
It all began in a small studio nestled in the heart of New York
01
The Model That Dreams the World
Two research traditions, one new frontier, and the bet that machines that dream will outperform machines that just react.
02
Continual Learning: The Promised Land
This post is a builder’s map of the landscape: what works, what’s emerging, and what it unlocks. The underlying tension is simple: plasticity (the ability to learn new things) trades off against stability (retaining what you already know). That tradeoff shows up everywhere — in weights, in context, and in the loops that connect them.
03
The Reinforcement Learning Renaissance (Part 1)
As pre-training plateaus near GPT-4-level performance, reinforcement learning emerges as the new scaling paradigm. Exploring how RL is driving the next wave of AI breakthroughs from reasoning models to data-efficient learning.
01
The Model That Dreams the World
Two research traditions, one new frontier, and the bet that machines that dream will outperform machines that just react.
02
Continual Learning: The Promised Land
This post is a builder’s map of the landscape: what works, what’s emerging, and what it unlocks. The underlying tension is simple: plasticity (the ability to learn new things) trades off against stability (retaining what you already know). That tradeoff shows up everywhere — in weights, in context, and in the loops that connect them.
03
The Reinforcement Learning Renaissance (Part 1)
As pre-training plateaus near GPT-4-level performance, reinforcement learning emerges as the new scaling paradigm. Exploring how RL is driving the next wave of AI breakthroughs from reasoning models to data-efficient learning.
01
The Model That Dreams the World
Two research traditions, one new frontier, and the bet that machines that dream will outperform machines that just react.
02
Continual Learning: The Promised Land
This post is a builder’s map of the landscape: what works, what’s emerging, and what it unlocks. The underlying tension is simple: plasticity (the ability to learn new things) trades off against stability (retaining what you already know). That tradeoff shows up everywhere — in weights, in context, and in the loops that connect them.
03
The Reinforcement Learning Renaissance (Part 1)
As pre-training plateaus near GPT-4-level performance, reinforcement learning emerges as the new scaling paradigm. Exploring how RL is driving the next wave of AI breakthroughs from reasoning models to data-efficient learning.