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Cognitive Revolution "How AI Changes Everything"· 12 ene 2024PódcastTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry ExperimentPresenta: 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.
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Unsupervised Learning: With Jacob Effron· 9 ene 2024PódcastOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsPresenta: 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.
1:22:59ENCognitive Revolution "How AI Changes Everything"· 2 dic 2023PódcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Presenta: 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.
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No Priors: AI, Machine Learning, Tech, & Startups· 16 nov 2023Pódcast · 2 vocesFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsPresenta: 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.
1:14:48ENCognitive Revolution "How AI Changes Everything"· 8 nov 2023PódcastDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickPresenta: Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.
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Matthew Berman· 6 nov 2023OpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.
10:13ENMatthew Berman· 28 oct 2023Building a Business Chatbot with GPTBots.aiMatthew Berman · Forward FutureIn a sponsored 2023 walkthrough, Matthew Berman configures an assistant, adds business knowledge, corrects a response and builds a branching flow.
38:07ENMatthew Berman· 26 oct 2023AutoGen Advanced Tutorial: Configuration, Memory, Retrieval and ToolsMatthew Berman · Forward FutureMatthew Berman walks through the 2023 AutoGen interface for multi-agent configuration, caching, retrieval, teachable memory and function calls.
1:25:11ENCognitive Revolution "How AI Changes Everything"· 26 oct 2023Pódcast105 lines of code, a million impressions, and a VC who refused to found the companyPresenta: Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
32:14ENMatthew Berman· 20 oct 2023MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.
7:02ENMatthew Berman· 18 oct 2023Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.
15:03ENMatthew Berman· 10 oct 2023A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.
1:32:41ENCognitive Revolution "How AI Changes Everything"· 5 oct 2023PódcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersPresenta: Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.
55:13ENCognitive Revolution "How AI Changes Everything"· 7 sept 2023PódcastTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI TownPresenta: Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.
1:39:53ENCognitive Revolution "How AI Changes Everything"· 8 ago 2023PódcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligencePresenta: Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.
39:45ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 jul 2023Pódcast · 2 vocesPalantir's 13th Employee: The Model Is a Stochastic Genie. Ontology Is the Stake That Tethers ItPresenta: Sarah Guo, Elad GilCTO Shyam Sankar on 550 microservices, air-gapped submarines, and why Palantir's ontology is what large language models were waiting for.
59:41ENCognitive Revolution "How AI Changes Everything"· 13 jul 2023PódcastHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running AnywayPresenta: Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.
6:03ENMatthew Berman· 3 may 2023BabyAGI UI: A 2023 Walkthrough of the Task-Planning InterfaceMatthew Berman · Forward FutureMatthew Berman installs an early web interface for BabyAGI and demonstrates its task-generation loop with a sample objective.
58:26ENCognitive Revolution "How AI Changes Everything"· 25 abr 2023PódcastSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI AgentsPresenta: Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.
1:56:16ENCognitive Revolution "How AI Changes Everything"· 6 abr 2023PódcastThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Presenta: Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.
1:25:46ENCognitive Revolution "How AI Changes Everything"· 22 mar 2023PódcastDon't Make the Tools Agentic: Flo Crivello on What Production Agents Actually NeedPresenta: Nathan LabenzThe Lindy CEO tells Nathan Labenz that most working agents are intelligent workflows with human-designed control flow — and that scaffolding may still matter even if AGI arrives.
1:45:49ENCognitive Revolution "How AI Changes Everything"PódcastTrust at Scale: Elicit's Founders on Reasoning Languages, World Models and Automating the CompanyPresenta: Nathan LabenzAndreas Stuhlmüller and Jungwon Byun explain how Elicit keeps frontier models checkable for high-stakes science, and where they think AI reasoning is heading.
1:05:22ENUnsupervised Learning: With Jacob EffronPódcastBuild First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of AgentsPresenta: Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.
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Lenny's PodcastPódcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterPresenta: Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.Cargar másMostrando 24 de 226