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6 slides26:23EN
Matthew Berman· Dec 20, 2024OpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.OpenAIBenchmarksReasoning & test-time compute+2
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No Priors: AI, Machine Learning, Tech, & Startups· Dec 5, 2024Podcast · 2 speakersFrom Zero to $20M ARR in Two Months: Bolt's Moat Lives in the BrowserHost Sarah Guo, Elad GilStackBlitz CEO Eric Simons tells No Priors how a five-year WebContainers bet, an open-sourced prompt, and a community of non-coders turned Bolt.new into an overnight full-stack generator.Coding agentsVibe CodingOpen-source ecosystems+3
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20VC with Harry Stebbings· Nov 29, 2024Podcast · 2 speakersGuy Podjarny on AI Coding Tools and the Future of Software DevelopmentGuest Guy Podjarny · Host Harry StebbingsThe Tessl CEO examines coding assistants, agentic development, security and the business choices surrounding AI.Coding agentsSoftware engineeringAI startups & small teams+2
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Matthew Berman· Nov 6, 2024Comparing Three Local Coding ModelsMatthew Berman · Forward FutureMatthew Berman introduces a sponsored comparison of DeepSeek Coder V2, Yi-Coder and Qwen Coder running on a workstation.Local inferenceCoding agentsOpen-weight models
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Matthew Berman· Oct 30, 2024AI News in October 2024: Apple Intelligence, Coding Assistants, Search, and AgentsMatthew Berman · Forward FutureMatthew Berman reviews the first Apple Intelligence release, new coding tools, AI search disputes, local models, and reports of browser agents.AI agentsAI AdoptionCoding agents+2
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20VC with Harry Stebbings· Oct 7, 2024Podcast · 2 speakersEiso Kant on Poolside, Compute and AI for Software DevelopmentGuest Eiso Kant · Host Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.AI researchCoding agentsModels & training+2
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Lex Fridman· Oct 6, 2024Podcast · 2 speakersKeep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy EditingGuest Cursor Team · Host Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.Coding agentsDeveloper workflows & testingAI interface design+3
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Matthew Berman· Oct 4, 2024Matthew Berman Tests the First ChatGPT Canvas BetaMatthew Berman · Forward FutureA 2024 walkthrough explores side-by-side code and writing edits, unexpected shortcut behavior and platform risk for AI developers.OpenAIProduct & UXHuman-AI Collaboration+1
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Cognitive Revolution "How AI Changes Everything"· Oct 2, 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkHost Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.Coding agentsAgent engineeringFine-tuning+3
5 slides10:57EN
Matthew Berman· Sep 13, 2024Testing OpenAI o1-preview: Tetris, Physical Reasoning and a North Pole ErrorMatthew Berman · Forward FutureIn September 2024, Matthew Berman runs the new reasoning-model preview through a personal rubric and examines where its answers succeed or fail.OpenAIReasoning & test-time computeEvals+2
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Matthew Berman· Sep 12, 2024OpenAI o1’s 2024 Launch: Reasoning Benchmarks and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews o1-preview and o1-mini, OpenAI’s reported evaluations, and his own early coding experiments.OpenAIReasoning & test-time computeBenchmarks+2
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Matthew Berman· Sep 12, 2024Testing OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.EvalsCoding agents
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Sequoia Capital· Sep 10, 2024PodcastAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.Coding agentsAGIReasoning & test-time compute+3
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No Priors: AI, Machine Learning, Tech, & Startups· Aug 30, 2024Podcast · 2 speakersWorking Backwards from AGI: Magic's Five-Million-Token BetHost Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.Coding agentsContext engineeringInference+3
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Matthew Berman· Aug 30, 2024Daniel 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.AgentsSecurity & safetyCoding agents+2
4 slides18:39EN
Matthew Berman· Aug 17, 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 agentsCoding agents+2
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Sequoia Capital· Aug 6, 2024PodcastGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.Coding agentsCompany BuildingDeveloper productivity+3
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Matthew Berman· Jul 29, 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsEvalsModels & training+1
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No Priors: AI, Machine Learning, Tech, & Startups· Jul 11, 2024Podcast · 2 speakersA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Host Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.Enterprise & strategyAI StrategyEvals+3
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Sequoia Capital· Jun 25, 2024PodcastDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.Coding agentsAgent engineeringEvals+3
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Matthew Berman· Jun 24, 2024Testing Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.EvalsCoding agentsMultimodal AI+2
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Matthew Berman· Jun 17, 2024Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.Context engineeringModels & trainingInference+2
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Matthew Berman· Jun 8, 2024Qwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.Open-weight modelsBenchmarksLocal inference+2
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Matthew Berman· May 23, 2024Microsoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.AI platform engineeringLocal inferenceMultimodal AI+2
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