Danny HernandezResearch Scientist · AnthropicResearcher↗
Researcher · Founder · Executive
AnthropicCo-founder and CEO
🇺🇸 AmericanBorn 1983
Amodei helped establish scaling laws showing how language models improve with more data and computing power.[1] He led OpenAI’s GPT-2 and GPT-3 efforts[2] and co-developed learning from human preferences, a way to steer AI behavior by training on people’s judgments.[3]
Anthropic2021-present
OpenAI2016-2020
Google Brain2015-2016
Baidu2014-2015Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
GPT-3 performs tasks from prompts and a few examples without task-specific training.
GPT-2 showed how learning to predict text could support tasks without separate training.
Measured predictable links between language-model performance, model size, data and computation.
Scaling Laws for Neural Language Models verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
Dario Amodei — Hertz Foundation biography verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
Deep reinforcement learning from human preferences verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
Concrete Problems in AI Safety verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
Anthropic leadership verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
Machines of Loving Grace verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
The Adolescence of Technology verifies the anchored research, leadership or authorial position; forecasts are presented as his views, not established outcomes.
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Reviewed August 8, 2026 · Checked for accuracy and new information.