필터 결과
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8:16EN
Matthew Berman· 2026년 1월 12일AI and Erdős Problem 397: A Verified Proof, Prior Work and the Prospect of Self-ImprovementMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted mathematics and argues that algorithmic discoveries could accelerate AI development, while the history of problem 397 adds important context.
11:50ENMatthew Berman· 2025년 12월 3일OpenAI’s Reported “Code Red” and the Debate Over AI PretrainingMatthew Berman, Ilya Sutskever, Mark Chen · Forward FutureMatthew Berman examines reports of a ChatGPT quality push and a model code-named Garlic, alongside differing views on whether pretraining can keep scaling.
21:10ENMatthew Berman· 2025년 2월 11일Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.
32:29ENMatthew Berman· 2025년 1월 8일NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.
13:34ENMatthew Berman· 2024년 9월 23일Sam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.
14:12ENMatthew Berman· 2024년 3월 26일Matthew Berman Reviews Sora’s Early Filmmaker ExperimentsMatthew Berman · Forward FutureA look at early Sora-generated films, surreal creatures and the questions they raise about creative work, compute and video simulation.
5:47ENMatthew Berman· 2023년 4월 19일Sam Altman on Scaling AI Models: Matthew Berman Examines OpenAI’s 2023 DirectionMatthew Berman · Forward FutureA 2023 discussion of model scaling, possible ways to improve GPT-4 and the safety priorities OpenAI described at the time.