Beyond Task Automation: The Case for Agents That Truly Learn
Most AI agents don't actually learn from experience. We argue the next breakthrough isn't a bigger model — it's a better learning process.
Read moreIntroducing EtudeEval: A Dynamic Benchmark for Agent Learning
A benchmark framework that measures skill acquisition rate — how quickly agents improve through structured practice.
Read moreFrom Self-Play to Deliberate Practice: What AlphaZero Teaches Us
AlphaZero's revolution wasn't about scale — it was about the quality of the learning process.
Read moreRethinking AI Evaluation: Beyond Static Benchmarks
Why the next generation of evaluation must be dynamic, adversarial, and grounded in real-world complexity.
Read moreOpen Science at Etude AI: Why We Publish Everything
In an industry increasingly defined by secrecy, we've made an unusual choice: to publish our research and open-source our tools.
Read moreBuilding Agents That Learn from Practice
How iterative self-improvement and structured practice unlock new levels of agent capability.
Read moreThe Practice Hypothesis
Our founding thesis — deliberate practice isn't just for humans. It may be the key to machine intelligence.
Read more