According to Andrej Karpathy on Twitter, Simon Willison has reached 23 years of blogging, with particular recognition for his high-quality coverage of large language models (LLMs) and AI advancements. Willison's blog, frequently cited in the AI community, offers detailed analysis of real-world LLM applications and open-source tool development. For crypto traders, the ongoing intersection of AI and blockchain technology is closely monitored, as insights from leading AI blogs like Willison's can signal emerging trends that may affect altcoin valuations and AI-focused crypto tokens (Source: @karpathy Twitter, June 13, 2025).

According to Geoffrey Hinton on X (formerly Twitter), a newly shared compilation video aggregates key expert opinions on upcoming technological and AI trends, offering insights that could impact cryptocurrency trading decisions. The video, referenced on Hinton’s X account (@geoffreyhinton, May 30, 2025), highlights the growing intersection of artificial intelligence advancements with financial markets, signaling potential shifts in crypto volatility and trading strategies as AI integration accelerates across blockchain platforms. Traders are advised to monitor these cross-sector developments closely for actionable signals. (Source: Geoffrey Hinton, x.com/Scr0nkf1nkle)

According to @icmlconf, the ICML 2025 conference has announced its invited speakers, including Jon Kleinberg, Pamela Samuelson, Frauke Kreuter, Anca Dragan, and Andreas Krause (source: ICML Conference Twitter, May 21, 2025). These thought leaders are expected to deliver insights on the latest advancements in AI and machine learning. For crypto traders, heightened attention on AI-driven innovation often correlates with increased volatility and trading volume in AI-related cryptocurrencies. Past ICML events have triggered positive sentiment in the crypto market, particularly for tokens like FET and AGIX that are linked to AI development. Monitoring updates from the conference could present timely trading opportunities in AI-focused crypto assets.

According to @milesdeutscher, following the dedicated AI research page @aiedge_ provides traders with advanced, data-driven insights that can inform crypto trading strategies, especially as AI adoption influences market volatility and trading volumes (source: Twitter/@milesdeutscher, April 25, 2025). The page regularly updates actionable research on AI trends, offering traders timely information relevant for short-term and long-term decision-making in the cryptocurrency market.

According to DeepLearning.AI, Madhura Dudhgaonkar, a machine learning engineer at Google, has shared valuable insights for those looking to advance their AI careers. Her advice emphasizes the importance of continuous learning, staying updated with the latest AI trends, and leveraging practical experience through projects. Dudhgaonkar also highlights the significance of networking within the AI community to exchange knowledge and opportunities. These strategies are crucial for aspiring AI professionals aiming to succeed in the competitive tech industry.

According to @rovercrc, $SAI is currently trading at a $5M market cap and has returned to a strategic support level. The forthcoming launch of Sharpe Search, dubbed as 'ChatGPT for crypto,' positions $SAI prominently within the AI and DeFAI sectors. This development is being highlighted as an optimal entry point with potential significant returns, underpinned by favorable technical analysis.