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3 slides8:16EN
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.MathematicsAI for scienceAI research+2
6 slides32:29EN
Matthew Berman· Jan 8, 2025NVIDIA 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.AI agentsSemiconductorsWorld models+2
3 slides13:34EN
Matthew 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.AGIScaling LawsAgents+1
7 slides1:01:30EN
Matthew Berman· Jun 13, 2024Leopold Aschenbrenner’s 2024 Forecast for AGI, Superintelligence and SecurityMatthew Berman · Forward FutureMatthew Berman examines Situational Awareness, its extrapolation to automated AI research, and the industrial, geopolitical and alignment challenges it envisions.AGI TimelinesScaling LawsAI Alignment+2
Slides5:47EN
Matthew 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.Scaling LawsOpenAIModels & training+2