EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·25d ago·5 min read
Hacker News·25d ago·5 min readI didn't sign the Fields medallists' letter
TL;DR
A mathematician reflects on their early attempts to prove Fermat’s Last Theorem, emphasizing the learning gained from engaging with difficult problems. They express concerns about the mathematical community's division over AI's impact on theorem proving.
✦ Why It Matters
Engage with challenging mathematical problems to enhance your understanding, regardless of whether you find a solution.
Key Takeaways
- Engage deeply with challenging problems for better understanding.
- Recognize the value of both problem-solving and conceptual insight.
- Explore how AI can enhance mathematical learning experiences.
- Avoid divisive attitudes towards AI in the mathematical community.
Full Summary
The author recounts their childhood fascination with Fermat’s Last Theorem and their unsuccessful attempts to prove it, which nonetheless deepened their understanding of mathematical concepts. They highlight the importance of engaging with challenging problems, regardless of the outcome, as a means of learning.
While agreeing with the sentiment of a letter signed by 25 Fields medallists about the crisis in mathematics due to AI, the author refrains from signing it, advocating for a broader perspective on the relationship between problem-solving and conceptual understanding. They argue that both individual and collective understanding in mathematics can coexist with AI advancements, suggesting that the influx of AI-generated results could enhance learning opportunities rather than diminish them.
The author expresses concern about the potential for a divide within the mathematical community regarding attitudes towards AI.