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슬라이드 8장1:59:37EN
MBMatthew Berman· 2026년 9월 22일Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 5장1:00:47EN
MBMatthew Berman· 2026년 7월 15일AI News Live: A Codex Keyboard, Open Models and Agent Safety ResearchMatthew Berman, Alex, Brian · Forward FutureMatthew Berman, Alex and Brian discuss new tools, model costs and a research report, separating initial impressions from verified results.코딩 에이전트Open-weight modelsAI cost & performance+2
슬라이드 3장1:43:51EN
MBMatthew Berman· 2025년 8월 8일GPT-5, Cline and SWE-bench: How to Judge AI Coding AgentsMatthew Berman, Matt Wolfe, Ray Fernando, Saoud Razwan, Nick, Ofir, Carlos, John, Kilian · Forward FutureMatthew Berman and guests discuss early GPT-5 impressions, the economics of Cline, and why coding benchmark results depend on the evaluation setup.코딩 에이전트BenchmarksOpen-weight models+2
슬라이드 3장1:30:24EN
MBMatthew Berman· 2024년 8월 30일Daniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.에이전트보안과 안전코딩 에이전트+2
44:44EN
MBMatthew Berman· 2024년 8월 18일Eric Schmidt on AI Agents, Compute and Google’s Work CultureMatthew Berman, Eric Schmidt · Forward FutureMatthew Berman reviews a 2024 Stanford discussion about AI’s potential, infrastructure, competition and social consequences.AI agentsAI cost & performanceFuture of Work+2
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