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27:32ENOpenAI’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.
12:30ENQwQ-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.
12:10ENMercury 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.
21:48ENVibe 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.
19:32ENGPT-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.
10:31ENGrok 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.
7:59ENGrok 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.
9:35ENClaude 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.
17:20ENVibe 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.
17:04ENTraining 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.
0:54ENPerplexity’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.
7:41ENMicrosoft’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.
1:03ENMicrosoft’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.
0:51ENClone 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.
9:43ENTesting 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.
0:32ENFigure’s Humanoid Robots and Natural-Language InstructionsMatthew Berman · Forward FutureMatthew Berman comments on a 2025 Figure Robotics demonstration and the potential for household chores.
0:51ENMira Murati Announces Thinking Machines LabMatthew Berman · Forward FutureMatthew Berman reviews the new AI lab’s stated goals in its February 2025 announcement.
13:24ENGrok 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.
18:05ENOpenAI’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.
45:31ENJerry 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.
8:04ENOpenAI’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.
15:33ENLatent 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.
0:59ENWhat 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.
6:50ENDeepScaleR: 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.
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