AI race

U.S. AI firm Anthropic accuses Chinese companies DeepSeek, Moonshot AI, and MiniMax of coordinated “distillation attacks.” The firms allegedly used tens of thousands of fake accounts to extract proprietary information from Anthropic’s Claude model, aiming to quickly replicate its capabilities. This follows similar accusations against DeepSeek by OpenAI, raising national security concerns over potential misuse of advanced AI by authoritarian regimes.

Alphabet is expanding its debt issuance, reportedly finalizing a global bond sale exceeding $30 billion. This surge, up from $20 billion, highlights the immense capital demands of the AI race and broader tech sector. The company’s increased borrowing aligns with aggressive AI investment strategies seen across hyperscalers, prioritizing infrastructure like chips and data centers. This move reflects a strategic approach to funding long-term growth while aiming for fiscal responsibility.

Despite strong iPhone demand boosting Apple’s revenue, the tech sector experienced volatility. Meta surged on AI returns, while Microsoft plunged due to high AI spending and slowing cloud growth. The Nasdaq and S&P 500 dipped, and Bitcoin fell sharply. Geopolitical tensions impacted oil prices, and gold rebounded. Key developments include Amazon exploring an OpenAI investment and Norway’s sovereign wealth fund reporting record profits, driven by tech gains.

Jensen Huang’s remarks on China’s potential AI dominance have sparked debate. He initially cited lower energy costs and less stringent regulations in China as advantages, prompting concerns about the U.S. losing its AI leadership. Nvidia later clarified that the U.S. is currently ahead, emphasizing the need to maintain developer reliance on Nvidia chips. Restricted access to the Chinese market, coupled with China’s focus on domestic AI chips, has seemingly shifted Huang’s focus to factors hindering Western AI development, like regulation and energy costs.

Nvidia CEO Jensen Huang warns that the U.S. is “not far ahead” of China in AI, urging a nuanced strategy amidst intensifying competition. He acknowledges advancements in Chinese AI models and infrastructure, noting their lead in certain open-source aspects and energy production. Despite U.S. chip advantages, Huawei is challenging its dominance. Huang emphasizes the need for American companies to accelerate AI adoption and cautions against isolating U.S. technology, highlighting China’s significant market share and innovation in AI. He stresses the importance of global engagement to win the AI race.