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5 slides9:58EN
Matthew Berman· Aug 2, 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 & performanceAgent engineering+2
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Sequoia Capital· Jul 16, 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.AgentsAgent engineeringReinforcement Learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayHost 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 optimizationAgent engineering+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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Cognitive Revolution "How AI Changes Everything"· Jun 22, 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Host 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.Models & trainingAI in healthcareMultimodal AI+3
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Sequoia Capital· Jun 18, 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.AgentsAgent engineeringAgent orchestration+3
Slides1:00EN
Matthew Berman· May 13, 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 agentsAgent engineeringMulti-agent systems
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No Priors: AI, Machine Learning, Tech, & Startups· May 2, 2024Podcast · 2 speakersDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuHost 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.Coding agentsAgent engineeringDeveloper productivity+3
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Matthew Berman· May 2, 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 slides19:09EN
Matthew Berman· Apr 28, 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 useEvalsBenchmarks+1
7 slides13:59EN
Matthew Berman· Apr 5, 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.Coding agentsAgent engineeringDeveloper workflows & testing+2
4 slides14:58EN
Matthew Berman· Mar 30, 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.Coding agentsAgent engineeringSoftware engineering+1
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· Mar 28, 2024Podcast · 2 speakersFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsHost 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.AgentsAgent engineeringAgent memory+3
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No Priors: AI, Machine Learning, Tech, & Startups· Mar 7, 2024Podcast · 2 speakersMeta’s $197 Billion Day Was a Partial Answer to AI’s $200 Billion QuestionHost 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.Enterprise & strategyAI StrategyEnterprise AI+3
4 slides55:29EN
Matthew Berman· Feb 24, 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 systemsAgent engineeringWorkflow automation+2
4:56EN
Cognitive Revolution "How AI Changes Everything"· Feb 1, 2024PodcastIf the Mind Is a Tool, AI Looks Less Like a ThreatHost Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.AgentsAgent engineeringKnowledge graphs+3
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Cognitive Revolution "How AI Changes Everything"· Jan 30, 2024Podcast600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4Host 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.Security & safetyPrompt injectionAI security+3
4 slides15:11EN
Matthew Berman· Jan 25, 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.AgentsAgent engineering
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· Jan 20, 2024PodcastAn Agent Posted Five Tweets — and 5,000 People Didn't NoticeHost 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.AgentsAgent engineeringContext engineering+3
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No Priors: AI, Machine Learning, Tech, & Startups· Jan 18, 2024Podcast · 2 speakersAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelHost 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.Coding agentsRetrieval-augmented generationContext engineering+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· Jan 12, 2024PodcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentHost 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 scienceAgent engineering+3
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Unsupervised Learning: With Jacob Effron· Jan 9, 2024PodcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsHost 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.Enterprise & strategyAI StrategyPrompting & in-context learning+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· Dec 2, 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Host 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.AgentsAgent engineeringReasoning & test-time compute+3
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No Priors: AI, Machine Learning, Tech, & Startups· Nov 16, 2023Podcast · 2 speakersFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsHost 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.AgentsCoding agentsAgent engineering+3
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