Leading mathematicians fear AI is making their field dumber, and warn the rest of us is next
Twenty-five Fields Medal winners, including Terence Tao, warn AI companies' benchmark-driven approach to mathematics is misaligned with the discipline's purpose of understanding.
In a joint statement, 25 Fields Medal winners including Terence Tao, Peter Scholze, and Maryna Viazovska warn that AI systems solving major open problems at machine speed undermine conceptual understanding and raise severe attribution and plagiarism questions. The statement lands amid a controversy accusing OpenAI of training math models to beat researchers to a rumored partial solution of a Millennium Prize Problem. The signatories describe a general threat to intellectual work across professions and call for urgent action by mathematicians, AI companies, and society, while not seeking a ban.
- 25 Fields Medal winners say AI industry goals are 'severely misaligned' with mathematics' goal of conceptual understanding.
- AI-generated solutions announced at machine speed raise severe attribution and plagiarism questions.
- Statement lands amid controversy accusing OpenAI of racing researchers on a rumored Millennium Prize Problem solution.
- Signatories see a general threat to intellectual work in scientific and creative professions.
- They call for urgent action but explicitly do not call for banning AI in mathematics.
From the original article
3 min read at the-decoder.com
In a joint statement, 25 Fields Medal winners warn that the goals of the AI industry and mathematics are "severely misaligned." They argue that mass-producing solved problems with AI undermines the discipline's true goal: understanding. The mathematicians see this as a symptom of a broader threat to intellectual work.
By Matthias Bastian · the-decoder.com
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