Post-training
How models learn what to do
Follow the learning loop from demonstrations and feedback to practice, parameter updates, and the next task.
A place to
understand AI.
Explore the ideas, systems, and questions shaping the path to AGI.
Begin your journeyTHE COLLECTION
A little curiosity goes a long way.
Each drop is a world to explore. Open a book and follow the ideas inside.
7 drops
Agent infrastructure
What happens when an AI agent works?
Trace a coding task through model calls, the agent harness, and the computer that searches, edits, and tests.
Compute
The physical stack behind AI
Explore the infrastructure that makes intelligence possible, from accelerators to clusters, power, and cooling.
Semiconductors
The supply chain behind advanced AI chips
Follow the interdependent companies, machines, and manufacturing steps behind an advanced chip.
Benchmarks
How AI gets measured
Explore the tests we use to evaluate AI, what their scores reveal, and what they leave unanswered.
Alignment
Aligning intelligence
Understand the challenge of making powerful intelligence reliably serve human values and intent.
Recursive self-improvement
The intelligence that builds intelligence
Enter the research loop: how AI could help improve AI, what the evidence shows, and what remains uncertain.
YOUR FIRST EXPLORATION
Every journey
starts somewhere.
New to the library? Follow three connected questions: how models learn, how we measure them, and how we make them worthy of trust.
Start with post-training