CapabilitiesIntermediate
Recursive Self-Improvement
What happens when an AI gets good at making AI better? The feedback loop that could turn steady progress into a sudden takeoff.
Read→5 min read
The library
Every concept, one story at a time
Each story takes a single idea behind the arrival of AGI and makes it genuinely understandable.
InterpretabilityAdvanced
Mechanistic Interpretability
Reverse-engineering the circuits inside a neural network, neuron by neuron, to read what a model actually computes.
Soon
CapabilitiesIntro
Scaling Laws
Why bigger models, more data and more compute keep paying off on a startlingly smooth curve, and where that curve might bend.
Soon
AlignmentIntro
The Alignment Problem
Getting a powerful optimizer to want what we want turns out to be far harder than telling it what to do.
Soon
AlignmentIntermediate
Instrumental Convergence
Almost any goal, pursued hard enough, rewards the same sub-goals: gather resources, stay switched on, resist being changed.
Soon
AlignmentIntermediate
Reinforcement Learning from Human Feedback
How human thumbs-up and thumbs-down get distilled into a reward model that quietly shapes a chatbot's personality.
Soon
AlignmentAdvanced
Mesa-Optimization
When the model you trained grows its own optimizer inside, chasing a proxy goal that only looked like yours during training.
Soon
CapabilitiesIntro
Compute and the Bitter Lesson
Decades of AI research keep relearning one humbling truth: general methods that scale with computation beat clever hand-built knowledge.
Soon
GovernanceIntermediate
Governing Frontier AI
Evaluations, compute thresholds, safety cases, international coordination: the policy toolkit taking shape around the most capable models.
Soon