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슬라이드 2장32:20EN
MBMatthew Berman· 2026년 10월 23일Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
45:08EN
MBMatthew Berman· 2026년 10월 21일Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
슬라이드 4장31:59EN
MBMatthew Berman· 2026년 9월 23일Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
슬라이드 6장3:01:44EN
MBMatthew Berman· 2026년 4월 21일Children, AI Overuse and a Live Test of ChatGPT Images 2Matthew Berman, Jonah, Brian · Forward FutureMatthew Berman discusses supervision and balance, then tests image generation with maps, math, code and visual prompts.Generative mediaAI SafetyHuman-AI Collaboration
슬라이드 3장1:24:44EN
MBMatthew Berman· 2026년 2월 7일Forward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.인프라와 배포엔터프라이즈 AIAI research+1
45:31EN
MBMatthew Berman· 2025년 2월 15일Jerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.Quantum MechanicsCybersecurityAI research
슬라이드 2장30:29EN
MBMatthew Berman· 2025년 1월 3일How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement Learning모델과 학습AI research+1
슬라이드 3장51:11EN
MBMatthew Berman· 2024년 3월 22일Inside Groq’s LPU: Compilers, Chip Networks and Fast InferenceMatthew Berman, Andrew Ling, Igor Arsovski · Forward FutureGroq engineers Andrew Ling and Igor Arsovski explain their hardware and software design in a sponsored 2024 interview.인프라와 배포InferenceAI cost & performance