Story
Anthropic’s usage data shows where automation actually lands
The Economic Index makes the labor question more specific—and more uneven.
Topic dossier · Reviewed
Research
Methods, evidence, replication, and the institutions producing knowledge.
Editorial scope
Research
Methods, evidence, replication, and the institutions producing knowledge.
Essential coverage
Story
NeurIPS is tightening the social contract of AI research
Reproducibility, disclosure, and responsible research are moving closer to the center of conference operations.
Story
The summer AI calendar has become a product map
ICML and SIGGRAPH now sit alongside developer conferences as launch surfaces for models and tools.
Story
Hugging Face is the public square of open machine learning
The Hub is simultaneously a repository, a labor market, and a governance experiment.
Story
Thinking Machines Lab is organizing around collaboration
The new lab’s public thesis places human control and customization at the center of advanced AI.
Story
Safe Superintelligence is narrowing the company to one problem
A singular mission can clarify priorities—and postpone the questions that deployment usually forces.
Story
Weights & Biases is moving from experiments to agent traces
Observability is expanding from training runs to the behavior of production AI systems.
Story
Why the frontier lab is becoming an institution
As AI systems spread, research companies acquire the responsibilities of platforms, employers, and policy actors.
Feature
The company page as an accountability surface
In the AI economy, products change faster than institutions can explain themselves.
Feature
The long road from research paper to everyday tool
A model becomes a product through a chain of packaging decisions that rarely appear in the benchmark.
Interview
Demis Hassabis on AI as a tool for science
A close reading of DeepMind’s public research mission and the road from games to biology.
Interview
Fei-Fei Li on spatial intelligence
A public-record conversation about the gap between language and the physical world.
Explainer
How are AI systems evaluated before release?
Benchmarks are only one layer in a release process that also needs scenarios, experts, and monitoring.
Explainer
What is a world model?
The term covers systems that learn useful representations of how environments behave over time.
Research
Where people use Claude at work
A reading of Anthropic’s Economic Index, occupation by occupation.
Research
The public evidence for longer-running agents
What task duration reveals about reliability, supervision, and the changing unit of AI work.
Research
A field guide to frontier model documentation
We compared the public artifacts used to explain capability, safety, and release decisions.
Research
How AI companies describe safety
A taxonomy of public commitments across labs, infrastructure providers, and application companies.
Research
An index of AI conference disclosure rules
NeurIPS and ICML are turning tool use, reproducibility, and research ethics into explicit publication operations.
News brief
Anthropic publishes a new Economic Index cadence
The research program is tracking how AI use changes over time.
News brief
ICML publishes its 2026 conference record
The official blog centralizes program and operations updates.
Podcast · Signal Path
Signal Path 02: Reading the Anthropic Economic Index
What task-level usage data can—and cannot—tell us about work.
Film
The conference paper becomes a product
A visual timeline from submission rules to a model in production.
Profile
Fei-Fei Li and the unfinished map of spatial intelligence
From ImageNet to world models, Li’s work keeps returning AI to the richness of the visible world.
Profile
Dario Amodei and the institution built around scaling
Anthropic’s CEO has made capability, risk, and organizational design parts of the same public argument.