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Latent Space: The AI Engineer Podcast

Podcasts · Technology

Latent Space: The AI Engineer Podcast

276 episodes · 20 with AI analysis

AI Intelligence · across all analyzed episodes

Topics · top 10

Enterprise AI deployment×2High-Throughput Experimentation×2Harness Engineering for AI AgentsCodex CLI and Code GenerationAgent Orchestration and Symphony FrameworkEnterprise AI Deployment and GovernanceObservability and Tracing for AgentsSkill-Based Agent ArchitecturePost-Merge Code Review AutomationSpecification-Driven Software Distribution

Analyzed Episodes

Apr 7, 2026

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review — Ryan Lopopolo, OpenAI Frontier & Symphony

Harness Engineering for AI AgentsCodex CLI and Code GenerationAgent Orchestration and Symphony Framework
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Apr 3, 2026

Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"

AI Scaling Laws and Moore's Law AnalogyLLM Reasoning Breakthroughs (O1, OpenClaw)Agent Architecture and Unix Philosophy
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Apr 2, 2026

Moonlake: Causal World Models should be Multimodal, Interactive, and Efficient — with Chris Manning and Fan-yun Sun

World Models and Causal ReasoningMultimodal AI Integration (Vision, Audio, Text, Physics)Action-Conditioned Video Generation
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Mar 30, 2026

Mistral: Voxtral TTS, Forge, Leanstral, & what's next for Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

Text-to-speech model architectureFlow matching vs autoregressive transformersNeural audio codecs and tokenization
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Mar 24, 2026

🔬Why There Is No "AlphaFold for Materials" — AI for Materials Discovery with Heather Kulik

AI for Materials DiscoveryActive Learning in ChemistryMetal Organic Frameworks
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Mar 20, 2026

Dreamer: the Personal Agent OS — David Singleton

AI Agent PlatformsConsumer AI ApplicationsAgentic App Development
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Mar 17, 2026

Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork & Claude Code Desktop

AI Agent SandboxingVirtual Machine ArchitectureKnowledge Work Automation
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Mar 12, 2026

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer

Vector databases and search enginesObject storage architectureDatabase scaling and performance optimization
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Mar 10, 2026

NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

AI inference scalingAgent security architectureDynamo inference engine
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Mar 6, 2026

Cursor's Third Era: Cloud Agents

Cloud AgentsAutonomous Code TestingParallel Agent Workflows
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Mar 5, 2026

Every Agent Needs a Box — Aaron Levie, Box

AI agents in enterpriseAgent identity managementContext engineering
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Feb 27, 2026

METR’s Joel Becker on exponential Time Horizon Evals, Threat Models, and the Limits of AI Productivity

AI Safety EvaluationModel Capability AssessmentDeveloper Productivity Impact
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Feb 26, 2026

[LIVE] Anthropic Distillation & How Models Cheat (SWE-Bench Dead) | Nathan Lambert & Sebastian Raschka

Model distillation techniquesAI benchmark integrityChinese AI lab competition
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Feb 25, 2026

🔬Nature as a Computer: Prof. Max Welling, CuspAI on AI x Materials Science

AI for Materials ScienceClimate Change TechnologyCarbon Capture Materials
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Feb 24, 2026

Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis

Claude Code AI programming assistantGlobal memory shortage (HBM/DRAM)Semiconductor supply chain constraints
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Feb 23, 2026

⚡️SWE-Bench-Dead: The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals & Human Data

SWE-Bench Verified deprecationAI coding benchmark contaminationSWE-Bench Pro adoption
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Feb 19, 2026

Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z

AI capital flywheel dynamicsFoundation model economicsVenture vs growth investing boundaries
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Feb 12, 2026

🔬Beyond AlphaFold: How Boltz is Open-Sourcing the Future of Drug Discovery

AlphaFold evolution and impactProtein structure predictionOpen-source AI model development
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Feb 12, 2026

Owning the AI Pareto Frontier — Jeff Dean

Pareto Frontier OptimizationModel Distillation TechniquesTPU Hardware Design
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Feb 6, 2026

The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI

Mechanistic InterpretabilityModel Steering and ControlSparse Autoencoders (SAEs)
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