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In this July 2024 excerpt, an unidentified speaker argues that commercial competition has reduced disclosure of frontier AI research. The speaker contrasts this with a history of openly shared research; the description does not identify them. The speaker traces a line from sequence-to-sequence and attention research to the 2017 Transformer paper and later GPT models, crediting publication and reuse of ideas. This is a selective account of a broader research history. They say a prize aims to encourage ideas to enter the public domain and support open progress. Their prediction that frontier disclosure will decline is an opinion made in 2024.
- 1DisclosureThe speaker argues that commercial incentives favor secrecy.
- 2Research lineageThey credit openly shared ideas in the development of modern models.
- 3A proposalA prize is proposed as one way to encourage open research.
Conclusiones
- The speaker argues that commercial incentives favor secrecy.
- They credit openly shared ideas in the development of modern models.
- A prize is proposed as one way to encourage open research.
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The discussion
A brief view from the interview.
In this July 2024 excerpt, an unidentified speaker argues that commercial competition has reduced disclosure of frontier AI research. The speaker contrasts this with a history of openly shared research; the description does not identify them.
The speaker traces a line from sequence-to-sequence and attention research to the 2017 Transformer paper and later GPT models, crediting publication and reuse of ideas. This is a selective account of a broader research history.
They say a prize aims to encourage ideas to enter the public domain and support open progress. Their prediction that frontier disclosure will decline is an opinion made in 2024.
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