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3 diapositives8:16EN
Matthew Berman· 12 janv. 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
2 diapositives11:50EN
Matthew Berman· 3 déc. 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.Pretraining & midtrainingAI StrategyOpenAI+2
8 diapositives12:47EN
Matthew Berman· 20 nov. 2025Gemini 3 Pro's Launch: Industry Reactions, Benchmarks and Google AntigravityMatthew Berman · Forward FutureMatthew Berman reviews early reactions to Gemini 3, from benchmark gains and coding demos to the economics of Google's AI stack.GeminiBenchmarksAI cost & performance+2
3 diapositives21:10EN
Matthew Berman· 11 févr. 2025Sam 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.Agents de codeScaling LawsReinforcement Learning+2
6 diapositives24:22EN
Matthew Berman· 31 janv. 2025Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.Modèles et entraînementAI cost & performanceGeopolitics+2
6 diapositives32:29EN
Matthew Berman· 8 janv. 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 diapositives13:34EN
Matthew Berman· 23 sept. 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 diapositives1:01:30EN
Matthew Berman· 13 juin 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
5 diapositives14:12EN
Matthew Berman· 26 mars 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.Generative mediaVision et vidéoCreativity+2
Diapositives5:47EN
Matthew Berman· 19 avr. 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 LawsOpenAIModèles et entraînement+2