🤖 Compute Polynomials Twice as Fast

Compute polynomials twice as fast without AI. We proved it years ago, but it ran a hundred pages and we weren't quite sure enough to publish. Now AI verified it in Lean.

Key Points:

Polynomial Evaluation: We can evaluate polynomials twice as fast using a simple algorithm that leverages the properties of polynomials.
Lean Verification: AI verified this result in Lean, a proof assistant that allows us to formally verify mathematical statements.
Implications: This result has implications for various fields, including computer science, mathematics, and engineering.

🔗 Resources:

Original post ↗
Original source
Lean ↗
Brief description: Polynomial evaluation algorithm

🚀 Non-technical people emphasize distillation, ignoring model architecture innovations

Non-technical people (and technical people with an ideological bent) emphasize distillation and ignore the model architecture innovations that only Chinese labs publish. The efficiency of a model like DS V4.1 is a result of the architecture.

Key Points:

Model Architecture: The efficiency of a model like DS V4.1 is a result of its architecture, not just the weights.
Chinese Labs: Chinese labs are publishing innovative model architectures that are not being recognized by the broader community.
Implications: This has implications for the development of AI models and the recognition of innovative research.

🔗 Resources:

Original post ↗
Original source
DS V4.1 ↗
Brief description: Model architecture innovations

🚀 Introducing JetKVM Mini

Introducing JetKVM Mini - Starting at $33/unit. Ethernet or Wireless. Available October 26, 2026. https://jetkvm.com/blog/introducing-jetkvm-mini ↗

Key Points:

JetKVM Mini: JetKVM Mini is a new product that offers Ethernet or Wireless connectivity at an affordable price.
Availability: JetKVM Mini will be available on October 26, 2026.
Implications: This has implications for the development of KVM solutions and the availability of affordable products.

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🚨 AI is ravenous and eating mathematicians' lunch

AI is ravenous and is eating mathematicians' lunch. A long-standing problem is solved, others are in its sights. But is this more than just a problem about problems? Here's Fields Medallist James Maynard. Read the Fields Medallists' Declaration: https://mathandai.org ↗

Key Points:

AI and Mathematics: AI is having a significant impact on mathematics, solving long-standing problems and raising new questions.
Fields Medallist: Fields Medallist James Maynard is highlighting the importance of mathematics and the need for a declaration.
Implications: This has implications for the development of mathematics and the role of AI in it.

🔗 Resources:

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🚨 They make a point: it’s going to be hard to train graduate students now that AI can do their homework

They make a point: it’s going to be hard to train graduate students now that AI can do their homework (I.e dissertation) too. …. Unless we adapt! This is just the same problem every profession is going through. Senior folks developed understanding and skill by doing the grunt work.

Key Points:

AI and Education: AI is having a significant impact on education, making it harder to train graduate students.
Adaptation: The solution is to adapt and find new ways to train students.
Implications: This has implications for the development of education and the role of AI in it.

🔗 Resources:

Original post ↗
Original source
AI and Education ↗
Brief description: AI in education

🚨 The issue with France is that the government spending is at 57% of GDP

The issue with France is that the government spending is at 57% of GDP, the deficit at 5%, retirement age 64, generous pensions and welfare state yet a huge part of the population thinks France is in the grip of "neoliberalism".

Key Points:

Government Spending: France has a high level of government spending, which is affecting its economy.
Deficit: The deficit is also high, which is a concern for the economy.
Implications: This has implications for the development of the French economy and the role of government spending.

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