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Friday

  1. The Paper

    China's first youth AI academy to mark its second anniversary: How Shanghai Jiao Tong University and the China Welfare Institute Children's Palace jointly cultivate AI talent

    The country's first youth artificial intelligence academy, jointly established by the China Welfare Institute Children's Palace and the School of Artificial Intelligence at Shanghai Jiao Tong University, will mark its second anniversary this October. At its unveiling in October 2024, it admitted its first cohort of 50 students; in September 2026 it will launch its third round of admissions, with more than 400 applicants. The academy selects first-year high school students from across the city, with each cohort studying for two years under a "2+2+X" model, attending classes on Saturdays alternately at the School of Artificial Intelligence at Shanghai Jiao Tong University and the China Welfare Institute Children's Palace. The curriculum covers advanced mathematics, machine learning, deep learning, analysis of large language model architectures, and agent development. Next, the academy plans to extend AI popularization and accessibility to lower age groups, including middle and primary school students.

    The country's first youth artificial intelligence academy, jointly established by the China Welfare Institute Children's Palace and the School of Artificial Intelligence at Shanghai Jiao Tong University, will mark its second anniversary this October. At its unveiling in October 2024, it admitted its first cohort of 50 students; in September 2026 it will launch its third round of admissions, with more than 400 applicants. The academy selects first-year high school students from across the city, w

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Thursday

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Tuesday

  1. Interconnects

    Debating RSI, the China-US gap, and uneven model capabilities with Epoch AI's JS Denain

    In episode 19 of the Interconnects podcast, Nathan Lambert and JS Denain, head of the insights team at Epoch AI, discuss RSI, the China-US model gap, and uneven capabilities. JS believes the evidence in public blog posts from OpenAI and Anthropic is insufficient to prove that AI is about to self-accelerate, but the 2x monthly growth in Codex research spending mentioned in OpenAI's blog post is worth noting; both hold highly uncertain views on where AI is heading.

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  2. Latent Space

    TypeSafe CEO Diogo Almeida on Jev: Building a System One Model for Production, Not for God

    InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suits products like ChatGPT but fragments intelligence at the API layer, and said TypeSafe would rather be seen as a data lab, refusing to publish benchmark tests. He revealed that Jev's daily token consumption has exceeded one trillion since launch, and previewed follow-up models such as ReasoningJev.

    InstructGPT paper author and TypeSafe CEO Diogo Almeida detailed his new model Jev on the Latent Space podcast, describing it as a System One large programmatic model oriented toward code consumption, with its core innovation being an unpublished RLCD (reinforcement learning for calibrated decision-making), optimized for "intelligence per dollar" rather than human preference feedback. He criticized RLHF for causing mode collapse, sycophancy, and hallucinations, arguing that safety alignment suit

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