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Gemini with Deep Think achieves gold-medal standard at the IMO (deepmind.google)

529 points by meetpateltech · 372 days ago · 242 comments on HN

Article summary

An advanced version of Google's Gemini model, called Gemini Deep Think, achieved a gold-medal standard at the International Mathematical Olympiad (IMO) by solving five out of six problems perfectly. The model was trained on a curated corpus of high-quality solutions to mathematics problems and was able to produce rigorous mathematical proofs directly from the official problem descriptions. This achievement demonstrates significant progress in AI's ability to reason and solve complex mathematical problems. The solutions can be found online and have been officially graded and certified by IMO coordinators.

Main themes

  • AI and mathematics
  • IMO competition
  • Gemini Deep Think model
  • Compute and energy costs
  • Naming and branding of AI models
  • Validation and verification of AI achievements

What commenters say

  • The amount of compute needed to achieve this feat is unknown and would be interesting to see a breakdown from Google or OpenAI.
  • The models were likely trained specifically on IMO problems, which raises questions about their general-purpose performance.
  • The IMO problems are not reused, but the training data may have contained similar problems, allowing the models to leverage existing techniques to solve them.
  • The cost of running such a model is likely to be high, with some estimating it to be in the range of $100 to $100,000.
  • The naming of AI models is a challenging problem, with many companies using similar names and suffixes to denote different versions or upgrades.
  • Some companies may be self-proclaiming their achievements without official validation, which can be seen as childish or misleading.
  • The achievement of Gemini Deep Think is significant, but it is still unclear how it compares to human mathematicians in terms of originality and creativity.
  • The use of AI in mathematics has the potential to advance human knowledge, but it also raises questions about the role of humans in the field and the potential for AI to replace human mathematicians.