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Matthew Berman· Jan 12, 2026AI 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· Dec 3, 2025OpenAI’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.
1:09ENMatthew Berman· Jul 3, 2025A Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.
13:34ENMatthew Berman· Sep 23, 2024Sam 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· Mar 26, 2024Matthew 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· Apr 19, 2023Sam 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.