English translation is being prepared.
Matched fieldsTitle、Summary
Matched fieldsTitle、Summary
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
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body

Matched fieldsTitle、Summary、Body
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
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body

Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body

Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Matched fieldsTitle、Summary、Body
Li Wei, a professor at Cheung Kong Graduate School of Business, analyzes AI infrastructure financing risks, noting that Anthropic finalized approximately $42 billion in syndicated loans and about $18 billion in subordinated debt through the "Project Polaris," with Broadcom providing a guarantee and Blackstone contributing half of the funding. The article also uses Meta's Hyperion data center as an example, explaining that it moved $27 billion in debt off its balance sheet through an SPV, with a debt-to-asset ratio of about 90%, higher than Meta's own ratio of about 43%. The author believes there is insufficient evidence to assert that a Minsky moment is imminent, but signs such as rising issuance of junk-rated data center bonds and falling prices of some bonds are worth watching.
Li Wei, a professor at Cheung Kong Graduate School of Business, analyzes AI infrastructure financing risks, noting that Anthropic finalized approximately $42 billion in syndicated loans and about $18 billion in subordinated debt through the "Project Polaris," with Broadcom providing a guarantee and Blackstone contributing half of the funding. The article also uses Meta's Hyperion data center as an example, explaining that it moved $27 billion in debt off its balance sheet through an SPV, with a
Matched fieldsSummary、Body