David Sacks, in his first public comments since leaving the White House, praised Anthropic's coding-driven enterprise model (ARR $30B) but sharply criticized its push for mandatory licensing as regulatory capture that hurts startups, warning that AI doomerism is a 'self-inflicted injury' in the US-China race.
Alibaba's Qwen team open-sourced Qwen3.6-27B on April 22, a 27B dense model that ties Claude 4.5 Opus on Terminal-Bench 2.0 and beats its 397B MoE predecessor on SWE-bench. Quantized to 16.8GB, it runs on consumer hardware, becoming a local brain for OpenClaw and Hermes Agent.
Blackrock CEO Larry Fink's 2026 annual letter highlights AI's acceleration of economic output and tokenization's potential to modernize financial infrastructure, making investments easier to issue, trade, and access. He underscores the US-China AI rivalry and calls for regulatory updates to support tokenized markets alongside traditional ones.
Google launched its TPU v5p 'Ironwood' chip, claiming 4x performance improvement over previous generation, directly targeting Nvidia's GPU dominance. The chip supports up to 9,216 TPUs per pod. Anthropic plans to deploy 1 million units. Nvidia CEO Jensen Huang's contradictory statements on US-China AI race highlight market pressure.
Google releases its most powerful TPU v5p Ironwood chip, 4x faster than previous gen, targeting Nvidia's GPU dominance. Anthropic plans 1 million TPUs. Nvidia CEO Jensen Huang's controversial remarks on US-China AI race add market tension.
The Trump administration accuses China of using tens of thousands of proxy accounts to distill U.S. AI systems. Meanwhile, Nvidia's H200 chip sales to China remain blocked. China's AI sector faces a talent war with salaries reaching $18 million. This analysis examines potential knock-on effects on crypto mining and blockchain AI projects.
The Trump administration says China-based entities are conducting industrial-scale efforts to distill US frontier AI systems, while Nvidia H200 chip sales to China remain delayed despite formal approval, highlighting intensifying US-China AI and semiconductor tensions.
Renowned investor Dan Bin delivered a speech at the Gelonhui Summit, emphasizing that the AI era is unprecedentedly disruptive with a potential industry cycle lasting over a decade. He views technological progress as the core driver of long-term capital market growth, urging investors to focus on long-term trends and avoid missing opportunities due to short-term bubble concerns. He also highlighted the strategic importance of US-China AI competition and the reshaping of civilization and economic paradigms by silicon-based intelligence.
