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3 diapositives27:32EN
Matthew Berman· 12 mars 2025OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.Ingénierie d’agentsAgentsMCP et outils+1
4 diapositives12:30EN
Matthew Berman· 7 mars 2025QwQ-32B: A Smaller Reasoning Model and Its TradeoffsMatthew Berman · Forward FutureMatthew Berman examines Qwen’s reinforcement-learning recipe, tests a coding task, and compares benchmark scores and hardware requirements with DeepSeek-R1.Reasoning & test-time computeReinforcement LearningOpen Source+2
6 diapositives12:10EN
Matthew Berman· 6 mars 2025Mercury Coder and Diffusion Language Models: Speed, Demos and LimitsMatthew Berman · Forward FutureMatthew Berman explores Inception’s 2025 coding model, comparing iterative text refinement with autoregressive generation and examining speed claims.Modèles et entraînementInferenceAgents de code+2
3 diapositives21:48EN
Matthew Berman· 5 mars 2025Vibe Coding With Cursor and Windsurf: Berman’s 2025 WorkflowMatthew Berman · Forward FutureMatthew Berman shares project rules, testing habits and version-control practices from early experiments with coding agents.Agents de codeWorkflows de développement et testsHuman-AI Collaboration+2
5 diapositives19:32EN
Matthew Berman· 28 févr. 2025GPT-4.5’s Launch: Conversational Style, Benchmarks and CostMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s February 2025 research preview, its selected demonstrations, reported evaluations and high launch pricing.Modèles et entraînementBenchmarksAI cost & performance+1
8 diapositives10:31EN
Matthew Berman· 26 févr. 2025Grok 3 and AI-Assisted Game Prototypes: A Tour of Creator DemosMatthew Berman · Forward FutureMatthew Berman explores browser games and generative art shared in February 2025, then recreates a simple 3D maze.Agents de codeGenerative mediaWorkflows de développement et tests+1
5 diapositives7:59EN
Matthew Berman· 25 févr. 2025Grok 3’s Brief Misinformation Filter and the Question of AI BiasMatthew Berman · Forward FutureMatthew Berman examines an instruction that told Grok to disregard sources linking Elon Musk and Donald Trump to misinformation, and xAI’s explanation of how it reached users.AI SafetySécurité et gouvernanceAI research+1
4 diapositives9:35EN
Matthew Berman· 25 févr. 2025Claude 3.7 Sonnet and Claude Code: An Early Coding TestMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s 2025 launch benchmarks and builds an AI-controlled Snake game, then tests math and recent information.Agents de codeBenchmarksAnthropic+1
2 diapositives17:20EN
Matthew Berman· 23 févr. 2025Vibe Coding a Login Page and an AI Tetris PlayerMatthew Berman · Forward FutureMatthew Berman experiments with AI-written code, iterates through failures and trains a basic game-playing agent.Vibe CodingAgents de codeReinforcement Learning+1
6 diapositives17:04EN
Matthew Berman· 22 févr. 2025Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.Multi-agent systemsReinforcement LearningÉvaluations+1
2 diapositives0:54EN
Matthew Berman· 22 févr. 2025Perplexity’s R1 1776: A Comparison of Responses and BenchmarksMatthew Berman · Forward FutureMatthew Berman examines a post-trained DeepSeek-R1 variant and Perplexity’s tests of responses on sensitive topics.Foundation ModelsÉvaluations et observabilitéAI Alignment
3 diapositives7:41EN
Matthew Berman· 21 févr. 2025Microsoft’s Majorana 1: The Quantum Computing Claim and Its LimitsMatthew Berman · Forward FutureMatthew Berman explains Microsoft’s proposed topological qubits and imagines future uses, while the published experiment supports narrower conclusions.Quantum MechanicsPhysicsAI for science
2 diapositives1:03EN
Matthew Berman· 21 févr. 2025Microsoft’s Majorana 1 Quantum Chip: What Was Claimed and What Was DemonstratedMatthew Berman · Forward FutureMatthew Berman discusses Microsoft’s 2025 Majorana 1 announcement and its possible implications for quantum computing and cryptography.Quantum MechanicsCybersecurityCryptocurrency+1
3 diapositives0:51EN
Matthew Berman· 20 févr. 2025Clone Robotics’ Protoclone and the Promises of a Home AndroidMatthew Berman · Forward FutureMatthew Berman reacts to a musculoskeletal prototype and a proposed limited-run home robot; the advertised household skills remain unverified in the clip.RoboticsAutonomous Systems
4 diapositives9:43EN
Matthew Berman· 20 févr. 2025Testing Grok 3 on Games, Reasoning, and Web SearchMatthew Berman · Forward FutureMatthew Berman tries a new set of audience-suggested prompts, from a Snake–Flappy Bird mashup to a family-logic puzzle and a tesseract visualization.ÉvaluationsFoundation ModelsReasoning & test-time compute+1
Diapositives0:32EN
Matthew Berman· 20 févr. 2025Figure’s Humanoid Robots and Natural-Language InstructionsMatthew Berman · Forward FutureMatthew Berman comments on a 2025 Figure Robotics demonstration and the potential for household chores.RoboticsAI agents
Diapositives0:51EN
Matthew Berman· 19 févr. 2025Mira Murati Announces Thinking Machines LabMatthew Berman · Forward FutureMatthew Berman reviews the new AI lab’s stated goals in its February 2025 announcement.AI startups & small teamsAI researchOpen-source ecosystems
4 diapositives13:24EN
Matthew Berman· 18 févr. 2025Grok 3’s 2025 Launch: Benchmarks, Reasoning and DeepSearchMatthew Berman, Elon Musk · Forward FutureMatthew Berman reviews xAI’s launch charts, a historical user-preference leaderboard and an early product demonstration.Foundation ModelsBenchmarksReasoning & test-time compute+1
6 diapositives18:05EN
Matthew Berman· 16 févr. 2025OpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.Reasoning & test-time computeReinforcement LearningBenchmarks+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
4 diapositives8:04EN
Matthew Berman· 14 févr. 2025OpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.Model routing & gatewaysOpenAIProduit et UX+1
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
Diapositives0:59EN
Matthew Berman· 13 févr. 2025What Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.Vibe CodingAgents de codeWorkflows de développement et tests
3 diapositives6:50EN
Matthew Berman· 12 févr. 2025DeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.Reinforcement LearningBenchmarksLocal inference+2
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