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Li Xinyi, a PKU Class of 2007 mathematics alumnus, criticized OpenAI and Anthropic for harming the mathematics community by using AI to solve problems
Li Xinyi, an associate professor at Peking University's Beijing International Center for Mathematical Research and a Class of 2007 mathematics alumnus, criticized OpenAI and Anthropic for using AI to "solve" difficult mathematical problems, arguing that such results are "solved but not understood at all," and that the accompanying publicity will scare off young people who want to study mathematics and mislead funding decisions. He revealed that a postdoc on his team's draft on an obscure conjecture highly overlapped with a cross-disciplinary paper generated by AI on arXiv, ultimately ending in co-authorship, and argued that academic credit should only go to those who contribute to understanding. He also noted that work in applied mathematics of the "combine A with B" type is more easily replaced by AI, while in fields such as geometry and topology that rely on spatial intuition, AI currently learns poorly.
Li Xinyi, an associate professor at Peking University's Beijing International Center for Mathematical Research and a Class of 2007 mathematics alumnus, criticized OpenAI and Anthropic for using AI to "solve" difficult mathematical problems, arguing that such results are "solved but not understood at all," and that the accompanying publicity will scare off young people who want to study mathematics and mislead funding decisions. He revealed that a postdoc on his team's draft on an obscure conject
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Anthropic's Thariq on the Next Phase of Claude Code: Claude Mods, Projects, and Agent Security
Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, including sandboxing, prompt injection, Auto Mode, and Anthropic's "Pacing the Frontier" position.
Anthropic's Thariq Shihipar introduced the next phase of Claude Code on the Latent Space podcast, including Claude Mods for customizable harnesses, Projects, Claude Tag, and recent releases such as Opus 5.5 and Sonnet 5.5. He calls prompting the core skill for using Claude Code, recommending that users first spend time filling in context and allocate effort by task—for example, high or maximum for code review and security, and low or medium for UI-type tasks. He also discussed agent security, in
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Who Is Really Eating the AI Dividend: Looking at Profit Distribution Through Tech Giants' Financial Reports
The article reviews the latest financial reports of tech giants such as Meta, Amazon, and Google, noting that AWS revenue grew 39% year-over-year, but the group's free cash flow over the past 12 months turned negative at -$42.4 billion, and Alphabet's stock price fell 12.64% in a single day. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, a year-over-year increase of 1300%; compute and infrastructure costs during the same period reached $8.945 billion, and it signed minimum purchase commitments totaling $269.4 billion with Google, Amazon, and Microsoft. In a McKinsey survey, 80% of respondents said AI improved work efficiency, but only 37% believed AI made a positive contribution to corporate EBIT.
revenue grew 39% year-over-year, but the group's free cash flow over the past 12 months turned negative at -$42.4 billion, and Alphabet's stock price fell 12.64% in a single day. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, a year-over-year increase of 1300%; compute and infrastructure costs during the same period reached $8.945 billion, and it signed minimum purchase commitments totaling $269.4 billion with Google, Amazon, and Microsoft. In a McKinsey surv
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