Dario Amodei (1983-)

A Dario Amodei (1983-) is a person.

• Example(s):
  • Dario Amodei, 1983, born.
  • Dario Amodei, 2011, earned a PhD from Princeton University focusing on electrophysiology of neural circuits.
  • Dario Amodei, 2016, joined OpenAI as vice president of research, contributing to AI safety and the development of large-scale language models.
  • Dario Amodei, 2019, left OpenAI following differences over its direction and collaborations with Microsoft.
  • Dario Amodei, 2021, co-founded Anthropic with his sister Daniela Amodei and other former OpenAI members to focus on AI safety, developing the Claude AI language model series.
  • Dario Amodei, 2023, warned U.S. Senators about the dangers of AI-powered weapons, advocating for regulation to mitigate risks.
  • ...
• See: Anthropic, Google, Effective Altruism, Sam Altman.

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References

• https://scholar.google.com/citations?user=6-e-ZBEAAAAJ

2024

• (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Dario_Amodei Retrieved:2024-10-13.
  • Dario Amodei (born 1983) is an Italian-American artificial intelligence researcher and entrepreneur. He is the co-founder and CEO of Anthropic, the company behind the large language model series Claude AI. He was previously the vice president of research at OpenAI.
  • NOTES:
    • Education and Academic Background: Amodei studied physics at Caltech and Stanford University, later earning a PhD in physics from Princeton University where he focused on the electrophysiology of neural circuits.
    • Career in Artificial Intelligence: He has held significant roles at major tech organizations, including Baidu, Google, and OpenAI, where he was vice president of research.
    • Entrepreneurship and Founding of Anthropic: In 2021, Amodei co-founded Anthropic alongside his sister Daniela and other former OpenAI members, focusing on the development of responsible AI technologies.
    • Development of Large Language Models: Under his leadership, Anthropic developed the Claude AI series, positioning the company as a competitor in the large language model space.
    • AI Ethics and Advocacy: Amodei has voiced concerns about AI risks, including AI’s potential misuse in weaponry, warning U.S. senators about these dangers in 2023.
    • Recognition and Influence: He was named one of the TIME100 Most Influential People in AI in 2023, reflecting his impact on the field and his role in shaping the future of AI.

2024

• (Amodei, 2024) ⇒ Dario Amodei. (2024). “Machines of Loving Grace: How AI Could Transform the World for the Better.”

2021

• (Chen, Tworek et al., 2021) ⇒ Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. (2021). “Evaluating Large Language Models Trained on Code.” arXiv preprint arXiv:2107.03374.

2020

• (Brown et al., 2020) ⇒ Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. (2020). “Language Models Are Few-Shot Learners.” In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020).
• (Kaplan et al., 2020) ⇒ Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. (2020). “Scaling Laws for Neural Language Models.” In: arXiv preprint arXiv:2001.08361.

2019

• (Radford et al., 2019) ⇒ Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. (2019). “Language Models Are Unsupervised Multitask Learners.” In: OpenAI Blog Journal, 1(8).

2016

• (Amodei et al., 2016a) ⇒ Dario Amodei, Sundaram Ananthanarayanan, Rishi Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, and others. (2016). “Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.” In: International Conference on Machine Learning, pages 173-182.

2016

• (Amodei et al., 2016b) ⇒ Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané. (2016). “Concrete Problems in AI Safety.” arXiv preprint arXiv:1606.06565.

2012

• (Chambers et al., 2012) ⇒ Michael C. Chambers, Brendan Maclean, R. Burke, Dario Amodei, D.L. Ruderman, and others. (2012). “A Cross-Platform Toolkit for Mass Spectrometry and Proteomics.” In: Nature Biotechnology, 30 (10), 918-920.

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