Evidence · DiggingBeagle record
Terence Tao: Math 2.0
Tao describes his October 9 Caltech lecture on proof abundance, changing research incentives, the limits of treating problem-solving as the sole mathematical goal, and his accompanying Math 2.0 slides. This is the original blog entry, not empirical AI-security research.
- Published
- Oct 10, 2026
- Publisher
- Terence Tao
- Source role
- commentary
Evidence record
Tao describes his October 9 Caltech lecture on proof abundance, changing research incentives, the limits of treating problem-solving as the sole mathematical goal, and his accompanying Math 2.0 slides. This is the original blog entry, not empirical AI-security research.
Claim-level citations (2)
- contextProxy-objective gaming in AI agents: In his October 2026 Math 2.0 slides, Terence Tao characterizes mathematical problem-solving as a proxy for broader research aims and illustrates possible misalignment between formal verification, evaluation success, and safe application using an explicitly hypothetical AI-designed treatment.
Math 2.0 post dated October 10, 2026, introductory lecture description and linked slides
- contextProxy-objective gaming in AI agents: In the Math 2.0 slides, Terence Tao calls for more transparent assessments of AI mathematical capability that report negative results and resource consumption, and proposes uses of AI that improve mathematical explanation and understanding rather than only producing new proofs.
October 10, 2026, paragraph describing the aim of 'Math 2.0' and the role of mathematical understanding