GPT-5.6 Used a Prompt to Close a 30-Year Gap in Convex Optimization
- GPT-5.6 achieved a breakthrough in convex optimization using a prompt.
- Experts discuss the implications of this achievement on math research and programming.
- The role of human researchers and programmers is evolving with AI advancements.
The Buzz Score
The Internet’s Verdict: 70% Hyped, 30% Skeptical
Expert Insights
Researchers in math and computer science are considering the impact of GPT-5.6 on their work.
> I don’t think researchers in math/TCS will be made obsolete, but I think it will instead no longer make sense to work on any low-hanging, or even medium-hanging fruit. We’ll be needed for problems where actual novel approaches are needed.
Others suggest that AI can help with complex proofs, such as the abc conjecture.
If I recall correctly there was a proposed proof to the abc conjecture by Mochizuki which was rejected due to being rather inpenetrable to humans. Shouldn’t this be an ideal target for LLMs?
Implications for Programming
Programmers are wondering about their role in an AI-driven world.
What I’m feeling is that there’s a need to study how to use AI well. I’ve seen professors using AI, and it was amazing. In that sense, I think AI prompt input will become stratified.
A critical point is that the output of AI varies depending on the background knowledge of the user.
Focus Keyword: GPT-5.6
