According to @DeepLearningAI, Andrew Ng emphasized that reducing research funding could threaten national competitiveness and security, a factor that may influence tech sector investments and sentiment in AI-related cryptocurrencies (Source: DeepLearning.AI, May 29, 2025). The announcement that new Claude 4 models now top coding benchmarks, alongside major updates from Google I/O and DeepSeek's cost-effective LLM training, highlights rapid AI advancement (Source: DeepLearning.AI, May 29, 2025). These developments are likely to drive interest in AI-linked tokens and blockchain projects, as traders seek exposure to the accelerating AI sector. Furthermore, the release of GPT-4o could further catalyze demand for decentralized AI infrastructure, reinforcing bullish sentiment in AI crypto assets.

According to Andrew Ng, proposed cuts to U.S. funding for basic research could severely undermine the nation's competitiveness in artificial intelligence and related sectors (source: AndrewYNg on Twitter, May 29, 2025). For traders, this development signals potential long-term risks to U.S.-based AI advancements that drive blockchain and cryptocurrency innovation. Reduced government support may shift AI research and Web3 development leadership to other regions, impacting the global crypto market landscape and possibly affecting valuations of AI-powered crypto projects that rely on U.S.-led research breakthroughs.

According to Yann LeCun, Steven Pinker has contributed factual analysis and balanced perspective to current debates about Harvard and the state of American academia (source: Yann LeCun on Twitter, May 24, 2025). For traders, Pinker's data-driven approach may influence institutional trust and policy discussions, which could indirectly affect AI research funding and regulatory sentiment—factors closely watched by crypto markets due to their role in shaping future blockchain and AI adoption trends.