1. China’s open-weights AI strategy is winning
What happened: China’s AI ecosystem is thriving with open collaboration and shared resources, while the US clings to proprietary models and closed systems.
Why it matters: The numbers don’t lie—China’s approach is gaining serious traction, leaving the US scrambling to catch up. If this keeps up, we might be importing AI innovations instead of exporting them.

2. Claude Fable disproves the Jacobian Conjecture
What happened: AI mathematician Claude Fable has cracked a decades-old mathematical puzzle, the Jacobian Conjecture, with a definitive counterexample.
Why it matters: This isn’t just a win for AI in theoretical math; it’s a wake-up call for human mathematicians. If an AI can solve what eluded us for so long, what else can it do? Time to up our game.

3. Nativ: Run frontier open models locally on your Mac
What happened: Nativ is a new tool that lets you run cutting-edge open-source AI models directly on your Mac, no cloud required.
Why it matters: Privacy-conscious users, rejoice! Nativ gives you the power of AI without the data-sharing worries. Plus, it’s a sign that powerful AI is becoming more accessible and decentralized.