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51:15EN
Sequoia Capital· 10 sept. 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.Agents de codeAGIReasoning & test-time compute+3
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 30 août 2024Podcast · 2 voixWorking Backwards from AGI: Magic's Five-Million-Token BetAnime : 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.Agents de codeIngénierie du contexteInference+3
3 diapositives1:30:24EN
Matthew Berman· 30 août 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.AgentsSécuritéAgents de code+2
6 diapositives18:37EN
Matthew Berman· 29 août 2024GameNGen Simulates Doom as AI Coding, Safety and Inference News AccelerateMatthew Berman · Forward FutureMatthew Berman reviews a 2024 game-simulation paper, Cursor, robotics, AI safety debates and new enterprise tools.World modelsAgents de codeAI Safety+2
19:46EN
Matthew Berman· 28 août 2024Linus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.Agents de codeSoftware engineeringOpen Source+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
1:07:34EN
Sequoia Capital· 6 août 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.Agents de codeCompany BuildingDeveloper productivity+3
3 diapositives13:40EN
Matthew Berman· 29 juil. 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 modelsÉvaluationsModèles et entraînement+1
25:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 11 juil. 2024Podcast · 2 voixA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Anime : 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.Entreprise et stratégieAI StrategyÉvaluations+3
59:11EN
Sequoia Capital· 25 juin 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%.Agents de codeIngénierie d’agentsÉvaluations+3
6 diapositives10:57EN
Matthew Berman· 24 juin 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.ÉvaluationsAgents de codeMultimodal AI+2
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Matthew Berman· 17 juin 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.Ingénierie du contexteModèles et entraînementInference+2
6 diapositives17:03EN
Matthew Berman· 8 juin 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
4 diapositives25:00EN
Matthew Berman· 23 mai 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
6 diapositives20:00EN
Matthew Berman· 7 mai 2024GitHub Copilot Workspace, Amazon Q and Sam Altman on AI’s Next StepsMatthew Berman, Sam Altman · Forward FutureA May 2024 roundup examines task-centered coding assistants, Rabbit R1, AI infrastructure, generated video and voice cloning.Agents de codeWorkflows de développement et testsIA en entreprise+2
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 mai 2024Podcast · 2 voixDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuAnime : Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.Agents de codeIngénierie d’agentsDeveloper productivity+3
4 diapositives17:12EN
Matthew Berman· 30 avr. 2024Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.BenchmarksModèles et entraînementAgents de code+1
5 diapositives12:51EN
Matthew Berman· 21 avr. 2024Llama 3 70B on Groq: Fast Inference and an Informal Prompt TestMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and repeated prompts on Groq’s April 2024 Llama 3 service, with mixed results and several scoring caveats.Open-weight modelsInferenceÉvaluations+2
5 diapositives15:35EN
Matthew Berman· 18 avr. 2024Meta Llama 3 Launch: Benchmarks, a Snake Test and the Meta AI AssistantMatthew Berman · Forward FutureMatthew Berman reviews the April 2024 release, tries a generated game and considers what downloadable models mean for developers.Open-weight modelsModèles et entraînementBenchmarks+2
7 diapositives12:02EN
Matthew Berman· 13 avr. 2024Testing Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.Open-weight modelsModèles et entraînementÉvaluations+1
7 diapositives13:59EN
Matthew Berman· 5 avr. 2024SWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.Agents de codeIngénierie d’agentsWorkflows de développement et tests+2
4 diapositives14:58EN
Matthew Berman· 30 mars 2024OpenDevin’s Early Coding Agent: A 2024 Installation and DemoMatthew Berman · Forward FutureMatthew Berman installs an early open-source coding-agent project and tries a calculator and a simple web page, while encountering setup and browser issues.Agents de codeIngénierie d’agentsSoftware engineering+1
6 diapositives19:51EN
Matthew Berman· 15 mars 2024Devin’s 2024 Launch: Coding-Agent Demos and Benchmark ClaimsMatthew Berman, Scott Wu, Neal, Walden · Forward FutureMatthew Berman examines Cognition’s software-agent demonstrations, interface and SWE-bench comparison alongside earlier coding projects.Agents de codeSoftware engineeringBenchmarks+2
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Cognitive Revolution "How AI Changes Everything"· 12 mars 2024PodcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Anime : Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.Agents de codeWorkflows de développement et testsCode review & verification+3
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