Ideas Weave Every Narrative with AI.
Mark Zuckerberg’s public critique of AI centralization is a strategic smokescreen. While he warns about monopolies, Meta is building one of the largest centralized AI clusters. The real battle isn’t over algorithms or data – it’s about energy costs. The country that can offer the cheapest kilowatt-hour will dominate the AI age, not the company with the best model.
Stop asking which RL subfield is ‘most promising.’ The real answer isn’t a topic — it’s a mentor, compute access, and your own obsession. The biggest unsolved problem in AI isn’t picking a field; it’s handling unverifiable tasks. Your research career depends on local constraints, not global trends.
DeepSeek’s leaked transcript reveals the AI race isn’t about talent—it’s about procurement. The CEO admits a compute gap but claims the personnel gap is nonexistent. This turns the narrative on its head: China’s strategy is to rent compute through shell entities, just like Cold War titanium smuggling. The AI future hinges on supply chain loopholes, not genius.
Human-generated internet data is running out by 2026, forcing AI to pivot to synthetic data. Far from a crisis, this ‘data wall’ is the catalyst for true AI autonomy. Once models learn from self-generated experiences, they decouple from human limitations and can surpass us in ways we can’t supervise. The new bottleneck is compute infrastructure — and the race to build it defines the next decade of AI.