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47:05EN
Matthew Berman· 21 juil. 2025Logan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.AI researchAgents de codeAgents+2
2 diapositives10:20EN
Matthew Berman· 1 juil. 2025Meta’s Superintelligence Labs and the Fight for AI ResearchersMatthew Berman, Sam Altman · Forward FutureMatthew Berman traces Meta’s 2025 investment in Scale AI, its recruitment from rival labs, and OpenAI’s response. The video’s claims about customer data and signing bonuses need important qualifications.AI StrategyHiringAI research+2
1:02:17EN
Matthew Berman· 30 juin 2025Dylan Patel on AI Labs, Chip Competition and the Race for SuperintelligenceMatthew Berman, Dylan Patel · Forward FutureThe SemiAnalysis founder discusses Meta’s AI talent drive, OpenAI’s Microsoft relationship, Apple’s strategy, accelerator economics and the future of work.AI StrategySemiconductorsInfrastructure et déploiement+2
6 diapositives8:35EN
Matthew Berman· 21 mars 2025AI News: Vibe Jam, Mistral Small 3.1 and New Audio ModelsMatthew Berman · Forward FutureMatthew Berman surveys March 2025 releases, from AI-assisted games and local models to search, audio and creative tools.Foundation ModelsVibe CodingIA vocale+2
45:31EN
Matthew Berman· 15 févr. 2025Jerry 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
5 diapositives15:33EN
Matthew Berman· 13 févr. 2025Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time computeModèles et entraînementAI research+2
4 diapositives18:39EN
Matthew Berman· 17 août 2024AI Scientist, Grok-2 and Agent Q: Matthew Berman’s August 2024 AI News RoundupMatthew Berman · Forward FutureA week of model releases, web agents and AI research raises questions about benchmarks, automation and the gap between prototypes and predictions.AI researchAI agentsAgents de code+2
6 diapositives18:57EN
Matthew Berman· 9 juil. 2024AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI researchModèles et entraînementAI security+2
5 diapositives22:17EN
Matthew Berman· 21 mars 2024Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeModèles et entraînementAI research+2
10 diapositives30:39EN
Matthew Berman· 25 févr. 2024NVIDIA’s GEAR Research, Gemini 1.5 and Fast AI InferenceMatthew Berman · Forward FutureMatthew Berman reviews embodied-agent research and a February 2024 set of AI releases and demonstrations.RoboticsAI researchBenchmarks+2
4 diapositives21:00EN
Matthew Berman· 23 janv. 2024Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.RoboticsAgentsReinforcement Learning+2
5 diapositives59:36EN
Matthew Berman· 27 juin 2023Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.Fine-tuningGénération augmentée par récupérationOpen-weight models+2