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5 diapositives9:58EN
Matthew Berman· 2 août 2024Abstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.Model routing & gatewaysAI cost & performanceIngénierie d’agents+2
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Sequoia Capital· 16 juil. 2024PodcastAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.AgentsIngénierie d’agentsReinforcement Learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 9 juil. 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayAnime : Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationIngénierie d’agents+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
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Cognitive Revolution "How AI Changes Everything"· 22 juin 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Anime : Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.Modèles et entraînementAI in healthcareMultimodal AI+3
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Sequoia Capital· 18 juin 2024PodcastUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.AgentsIngénierie d’agentsAgent orchestration+3
Diapositives1:00EN
Matthew Berman· 13 mai 2024Andrew Ng on Four Agentic AI Design PatternsMatthew Berman, Andrew Ng · Forward FutureA short excerpt identifies reflection, tools, planning and multi-agent collaboration as approaches to building AI agents.AI agentsIngénierie d’agentsMulti-agent systems
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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 diapositives16:22EN
Matthew Berman· 2 mai 2024Harrison Chase on Planning, Interface Design and Memory for AI AgentsMatthew Berman, Harrison Chase · Forward FutureThe LangChain CEO outlines open questions for agent builders, with commentary from Matthew Berman on oversight, workflows and memory.AI agentsAgent orchestrationAgent memory+2
9 diapositives19:09EN
Matthew Berman· 28 avr. 2024OSWorld: Evaluating Computer-Use Agents in Real ApplicationsMatthew Berman · Forward FutureMatthew Berman explains the 2024 benchmark’s observation–action loop, task-specific checks and early results, with the limitations of its experimental setup.Computer useÉvaluationsBenchmarks+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
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No Priors: AI, Machine Learning, Tech, & Startups· 28 mars 2024Podcast · 2 voixFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsAnime : Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.AgentsIngénierie d’agentsAgent memory+3
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No Priors: AI, Machine Learning, Tech, & Startups· 7 mars 2024Podcast · 2 voixMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionAnime : Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Gemini, Mistral, NVIDIA’s upgrade cycle, Klarna’s support bot, and why the real AI spend still sits with the hyperscalers.Entreprise et stratégieAI StrategyIA en entreprise+3
4 diapositives55:29EN
Matthew Berman· 24 févr. 2024Building a CrewAI Newsletter Team: Scraping, Summarizing and DebuggingMatthew Berman, Joe · Forward FutureMatthew Berman builds a two-agent newsletter prototype, works through input and scraping errors, and shows what still needs to be fixed.Multi-agent systemsIngénierie d’agentsWorkflow automation+2
4:56EN
Cognitive Revolution "How AI Changes Everything"· 1 févr. 2024PodcastIf the Mind Is a Tool, AI Looks Less Like a ThreatAnime : Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.AgentsIngénierie d’agentsKnowledge graphs+3
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Cognitive Revolution "How AI Changes Everything"· 30 janv. 2024Podcast600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4Anime : Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.SécuritéPrompt injectionAI security+3
4 diapositives15:11EN
Matthew Berman· 25 janv. 2024Building a Transcript-to-Article Team in AutoGen StudioMatthew Berman · Forward FutureMatthew Berman configures a retrieval skill, two agents and a group workflow, then troubleshoots missing credentials and output.AgentsIngénierie d’agents
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Cognitive Revolution "How AI Changes Everything"· 20 janv. 2024PodcastAn Agent Posted Five Tweets — and 5,000 People Didn't NoticeAnime : Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.AgentsIngénierie d’agentsIngénierie du contexte+3
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 janv. 2024Podcast · 2 voixAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelAnime : Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.Agents de codeGénération augmentée par récupérationIngénierie du contexte+3
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Cognitive Revolution "How AI Changes Everything"· 12 janv. 2024PodcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentAnime : Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.AgentsAI for scienceIngénierie d’agents+3
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Unsupervised Learning: With Jacob Effron· 9 janv. 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsAnime : Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.Entreprise et stratégieAI StrategyPrompting & in-context learning+3
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Cognitive Revolution "How AI Changes Everything"· 2 déc. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Anime : Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentsIngénierie d’agentsReasoning & test-time compute+3
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No Priors: AI, Machine Learning, Tech, & Startups· 16 nov. 2023Podcast · 2 voixFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsAnime : Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.AgentsAgents de codeIngénierie d’agents+3
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