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Dario Amodei

proper noun

In plain wordsAn American AI researcher who co-founded Anthropic and is its chief executive, known for early work on scaling and AI safety and for forecasting very rapid AI progress.

  1. American AI researcher, co-founder and chief executive of AnthropicAnthropic, prop. n.: An American AI company that makes the Claude chatbot and models. It was founded in 2021 by former OpenAI staff and puts particular emphasis on AI safety research.. A Princeton-trained biophysicist, he worked at BaiduBaidu, prop. n.: China's largest search-engine company and an early investor in deep learning, which makes the Ernie chatbot and models and runs driverless taxis. and Google BrainGoogle Brain, prop. n.: Google's deep-learning research team from 2011 to 2023, where the transformer — the design behind today's chatbots — and the TensorFlow software were created., where he was lead author of 'Concrete Problems in AI Safety' (2016). At OpenAIOpenAI, prop. n.: The American company that makes ChatGPT and the GPT models. It began in 2015 as a nonprofit research lab and is now a for-profit company overseen by a nonprofit foundation. (2016–2020), where he rose to vice president of research, he helped lead GPT-2GPT-2, prop. n.: A 2019 OpenAI language model that wrote surprisingly fluent paragraphs. OpenAI at first withheld the full version, saying it could be misused for fake news, which made it famous. and GPT-3GPT-3, prop. n.: A huge 2020 OpenAI language model that could perform new tasks simply from instructions or a few examples written into its prompt, without retraining. It made prompting a new way of programming. and co-authored early work on scaling lawsscaling laws, n.: Measured patterns showing that an AI model's error shrinks smoothly and predictably as the model is made bigger and given more data and computing power, so labs can forecast a giant model's performance from small, cheap experiments. and on learning from human preferences, the basis of reinforcement learning from human feedbackreinforcement learning from human feedback, n.: A way of training AI using people's judgments: humans compare pairs of answers, a scoring model learns their preferences, and the AI is then trained to produce answers that score well.. In 2021 he co-founded Anthropic with his sister Daniela Amodei and others. His essays 'Machines of Loving Grace' (2024), which pictured a 'country of geniuses in a datacentercountry of geniuses in a datacenter, phr.: A phrase for future AI so capable that one data center could hold the equivalent of millions of Nobel-level experts, working faster than people on any problem.', and 'The Adolescence of Technology' (2026) weigh AI's promise and risks. In February 2026 he refused a US Department of Defense demand to drop Anthropic's limits on using its ClaudeClaude, prop. n.: A family of AI assistants and language models made by the company Anthropic since 2023, widely used for writing, analysis and computer programming. models for mass domestic surveillance or fully autonomous weapons, and the department designated the company a supply-chain risk; a federal judge temporarily blocked the government's measures in March 2026, but in September a federal appeals court in Washington, D.C., ruled that the designation could stand.

Related

See also
  • AnthropicAnthropic, prop. n.: An American AI company that makes the Claude chatbot and models. It was founded in 2021 by former OpenAI staff and puts particular emphasis on AI safety research.
  • ClaudeClaude, prop. n.: A family of AI assistants and language models made by the company Anthropic since 2023, widely used for writing, analysis and computer programming.
  • Constitutional AIConstitutional AI, n.: Anthropic's technique for making an AI less harmful by having it check and rewrite its own answers against a short written set of principles, so that people need not label harmful examples by hand.
  • responsible scaling policyresponsible scaling policy, n.: A public rulebook in which an AI company promises to test each new model for dangerous abilities and to add stronger safeguards, or slow down, as its models become more capable.
  • scaling lawsscaling laws, n.: Measured patterns showing that an AI model's error shrinks smoothly and predictably as the model is made bigger and given more data and computing power, so labs can forecast a giant model's performance from small, cheap experiments.
  • country of geniuses in a datacentercountry of geniuses in a datacenter, phr.: A phrase for future AI so capable that one data center could hold the equivalent of millions of Nobel-level experts, working faster than people on any problem.

Sources

  1. Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J. & Mané, D. (2016). Concrete Problems in AI Safety. arXiv preprint.
  2. Amodei, D. (2024). Machines of Loving Grace: How AI Could Transform the World for the Better. Personal essay.

Mentioned in

AnthropicAnthropic, prop. n.: An American AI company that makes the Claude chatbot and models. It was founded in 2021 by former OpenAI staff and puts particular emphasis on AI safety research., ClaudeClaude, prop. n.: A family of AI assistants and language models made by the company Anthropic since 2023, widely used for writing, analysis and computer programming., country of geniuses in a datacentercountry of geniuses in a datacenter, phr.: A phrase for future AI so capable that one data center could hold the equivalent of millions of Nobel-level experts, working faster than people on any problem., GPT-2GPT-2, prop. n.: A 2019 OpenAI language model that wrote surprisingly fluent paragraphs. OpenAI at first withheld the full version, saying it could be misused for fake news, which made it famous., Statement on AI RiskStatement on AI Risk, prop. n.: A one-sentence public statement from May 2023, signed by hundreds of leading AI scientists and company heads, declaring that guarding against the chance of AI wiping out humanity should rank as a priority for the whole world., Machines of Loving GraceMachines of Loving Grace, prop. n.: A 2024 essay by Dario Amodei, head of the AI company Anthropic, imagining how very capable AI could pack decades of progress against disease, poverty and bad government into a few years — if its risks are managed.