Latent Space: The AI Engineer Podcast
The podcast by and for AI Engineers! In 2025, over 10 million readers and listeners came to Latent Space to hear about news, papers and interviews in Software 3.0.We cover Foundation Models changing every domain in Code ...
AI overview.Latent.Space is an independent podcast creator known for its focus on the rapidly evolving field of artificial intelligence. By providing insights from industry…
Insights from recent episode analysis
On the show
- Qasar Younis1 ep
- Peter Ludwig1 ep
- Mikhail Parakhin1 ep
Also: Ron Alfa, Daniel Bear, Simon Last, Sarah Sachs, Ryan Lopopolo, Marc Andreessen, Chris Manning, Fan-yun Sun, Pavan Kumar Reddy, Guillaume Lample, Heather Kulik, Lukas Petersson, Axel Backlund, Carina Hong, Satya Nadella, Kyle Daigle, Ethan He
Audience Interest
- AI engineering advancements
- software development trends
Podcast Focus
- AI news and updates
- foundation models impact
Publishing Consistency
- 191 episodes released
- active for three years
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 3 signals.
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#3010K to 53K
- 🇬🇧United Kingdom · Technology#26863 to 4.6K
- 🇮🇳India · Technology#21829 to 4.4K
- 🇧🇷Brazil · Technology#29635 to 3.4K
- 🇨🇦Canada · Technology#27526 to 2.8K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
16K to 83K🎙 Weekly cadence·221 episodes·Last published 3d ago - Monthly Reach
Unique listeners across all episodes (30 days)
31K to 166K🇺🇸64%🇬🇧5%🇮🇳5%+12 more - Active Followers
Loyal subscribers who consistently listen
17K to 91K101 real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/27/26 |  How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands | Katelyn Lesse and Angela Jiang join Latent Space to explain the engineering behind the Claude Platform: launching Opus 5.5, separating the model’s “brain” from the agent’s “hands,” scaling APIs, and building reliable managed agents. A new introduction ... | 1h 46m 40s | ||||||
| 10/26/26 | ⚡ An Eval for AI Scientists That Knows the Answer Key - Ian Quigley, Leash Bio | Watch the full show on YouTube: https://www.youtube.com/watch?v=vhPCo-8K78U | 16m 34s | ||||||
| 10/22/26 |  Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO | Warm welcome to Basil Chatha, our newest cohost from the Forward Deployed side of the AI Engineering world! We’ll be ramping up a new show with him and couldn’t pass up an interview with Modal’s CEO Eric on the occasion of their monster Series D! Two y... | 1h 25m 32s | ||||||
| 10/22/26 |  The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi | Anekha Sokhal, CEO of Moshi, joins swyx to discuss building a recommendation engine for commodity traders, turning market data into useful signals, and designing AI that fits users’ workflows. Watch: YouTube · Moshi · Anekha 0:00 AI Engineer New York a... | 26m 40s | ||||||
| 10/21/26 |  AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess | Alex Lieberman and CJ Hess join swyx at AI Engineer New York to discuss Tenex’s approach to AI-native engineering, paying for outcomes, MetaHarness, enterprise AI adoption and rebuilding SaaS. Show notes: Tenex: https://www.tenex.co/ Building an AI-nat... | 43m 32s | ||||||
| 10/20/26 |  The Programmable Data Center — Evan Conrad, SF Compute | This was recorded on the sidelines of the new Compute Trading track at AIE NYC. Catch us next at AIE CODE, our last flagship for the top agentic engineers in the world. In the early days of cloud, former guest Martin Casado made something so disruptive... | 36m 43s | ||||||
| 10/14/26 |  🔬 Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio | A few years ago I stumbled upon Leash Bio’s Substack, and was hooked. Be it their Kaggle competition that showed that no, we really haven’t solved protein-ligand binding, or their crazy discovery that knowing a molecule’s author is perhaps all you need... | 1h 49m 56s | ||||||
| 10/13/26 |  Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics | Watch along AIE NYC and join us at AIE CODE in SF next month! This episode includes a live demo of the Taku robot that is best enjoyed on YouTube. Last month, Dyna made waves by announcing Dyna-2, a world-action model pre-trained on one million hours o... | 1h 11m 56s | ||||||
| 10/10/26 |  🔬 Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub | From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology. In this special panel moderated by Bra... | 31m 55s | ||||||
| 10/8/26 |  🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk | It’s hard to believe that Periodic was only launched last September: One year later, it is considered one of the pre-eminent AI scientist labs, with dizzying talent density and astonishing progress in the autonomous lab buildout: Most people are famili... | 1h 23m 59s | ||||||
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| 10/2/26 | ⚡️ Which GPU Clouds Are Actually Good? | ClusterMAX 3.0 | Watch the full show on YouTube: https://www.youtube.com/watch?v=MWX36ZYnsm0 | 57m 51s | ||||||
| 10/2/26 |  Academia is for Ambition — Alex Zhang, MIT | Last call for regular tickets for AI Engineer NYC! As an exclusive for Latent Space subscribers, the first 30 of you can take a 30% off code if it helps - for new tickets only, no refunds! See you in 2 weeks! While we tend to cover industry on the pod,... | 1h 41m 27s | ||||||
| 9/30/26 |  Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week | Three months ago Dwarkesh, who has been posting incredible blogs and episodes about RL, posted a framing question for his video essay on RLVR which upset a lot of Computer Use folks: We are no strangers to learning in public and are no strangers to the... | 39m 12s | ||||||
| 9/29/26 |  Claude Code’s Next Era — Thariq Shihipar, Anthropic | We are excited to have Anthropic share their latest AI x Finance work at AI Engineer New York ( https://ai.engineer/nyc/2026 ), coming up in 2 weeks! In case you’ve been under a rock, here’s a non-exhaustive list of what Anthropic has been shipping sin... | 1h 32m 28s | ||||||
| 9/25/26 |  OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha | From the earliest days of open-weight models to becoming the neutral routing layer for more than 10 million developers, OpenRouter is one of the clearest bets that the future of AI will be multi-model. In this episode, OpenRouter co-founder & CEO Alex ... | 1h 20m 43s | ||||||
| 9/25/26 |  Runway’s WorldPrompt and the Engineering of Real-Time Worlds | Earlier this month, world model company Runway introduced GWM Worlds 2, a research preview that “turns high-fidelity video and audio generation into real-time interactive simulation.” Runway calls this an “autoregressive diffusion” model; with autoregr... | 1h 36m 20s | ||||||
| 9/23/26 |  🔬 Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics) | The OpenAI → Hugging Face attack has people asking “what else do we need to worry about?” and Anthropic’s filters flag two things: cyber-security and biology. The natural question is: what about bio-security, then? Clem Delangue argues that cyber-warfa... | 1h 31m 58s | ||||||
| 9/22/26 |  🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science | How often do you get to talk to a guest who has both an Academy Award and who invented textbook machine learning algorithms? John Platt has an Oscar, two textbook algorithms, two named asteroids, and an Erdos-Bacon number of 6. This was easily the most... | 2h 01m 25s | ||||||
| 9/21/26 |  Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI | Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us! We have an unusual relationship with today’s guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have ... | 2h 20m 52s | ||||||
| 9/18/26 | ⚡️ A Worm With 302 Neurons Inspired Their Architecture — Ramin Hasani, Liquid AI | Watch the full show on YouTube: https://www.youtube.com/watch?v=V_9TCu_21SE | 1h 09m 51s | ||||||
| 9/16/26 |  Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC | AIUC first got our attention with the NFDG backing, and have just announced a $40M series A today, with the most impressive industry advisor list we may have ever seen for an early startup behind AIUC-1, their agent standard backed by real insurance: F... | 1h 26m 14s | ||||||
| 9/14/26 |  Humanity’s Last Invention — Richard Socher of Recursive | At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, P... | 1h 32m 09s | ||||||
| 8/26/26 |  🔬 “We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing | A few years ago, Caltech Prof. and co-founder of Accelerated Understanding, Anima Anandkumar set out to develop the first open-source weather model with AI. Talking to experts in the field, she was met with skepticism. Weather is chaotic, physics simul... | 1h 23m 31s | ||||||
| 8/25/26 | ⏭️ Forward Deployed: Voice AI on what works in 2026 | Watch the full show on YouTube: https://www.youtube.com/watch?v=MwNvowwcZOo | 36m 30s | ||||||
| 8/21/26 |  Simulation: the new Scaling Law — Joon Sung Park, Simile AI | When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI’s $2B Series B, backed by GreenOaks and Index Ventures with prominent ... | 1h 09m 37s | ||||||
| 7/21/26 | drug discoveryAI in healthcare+4 | Bo WangCi Chu | Xaira Therapeutics | — | causal modelsdrug discovery+5 | — | 1h 29m 47s | ||
| 7/16/26 | AI in scienceautomated laboratories+3 | Andy BeamRafa Gómez-Bombarelli | Lila Sciences | — | AIrobotics+5 | — | 1h 41m 04s | ||
| 7/8/26 | AI InfrastructureAgent Experience+4 | Akshat Bubna | ModalDatabricks+3 | — | AIInfrastructure+6 | — | 57m 55s | ||
| 7/1/26 | small molecule drug discoverymachine learning+4 | Evan FeinbergSergey Edunov | PEARLGenesis Molecular AI+1 | — | small moleculesdrug discovery+5 | — | 1h 48m 39s | ||
| 6/24/26 | AI EngineeringOpen Source+4 | Matei ZahariaReynold Xin | OmnigentLTAP+11 | — | DatabricksAI agents+6 | — | 1h 08m 52s | ||
| 6/22/26 | AI securityRed Teaming+3 | Zico KolterMatt Fredrikson | ShadeCygnal+8 | — | AI securityRed Teaming+3 | — | 1h 06m 23s | ||
| 6/18/26 | AI engineeringGPU utilization+4 | Anjney Midha | GPT-3Gopher+8 | — | AI Engineer World’s FairGPU+5 | — | 59m 25s | ||
| 6/17/26 | AI in STEMmaterials science+3 | Joseph Krause | Radical AIDARPA+1 | — | materials scienceAI+3 | — | 1h 16m 50s | ||
| 6/4/26 | AI evaluationreal-world AI performance+4 | Lukas PeterssonAxel Backlund | SWE-Bench ProMMLU+7 | — | AI evaluationreal-world performance+5 | — | 1h 15m 39s | ||
| 6/3/26 | AI progressAGI+4 | Carina Hong | Claude CodeDeepSeek+3 | — | AxiomPutnam exam+6 | — | 1h 33m 04s | ||
| 6/3/26 | AI technologyMicrosoft ecosystem+4 | Satya Nadella | MicrosoftNo Priors | — | Satya NadellaMicrosoft+6 | — | 38m 58s | ||
| 6/2/26 | AIsoftware development+5 | Kyle Daigle | GitHub | — | GitHubAI Engineer World’s Fair+5 | Microsoft | 1h 23m 27s | ||
| 6/1/26 | Video Agent ModelsAI Engineering+4 | Ethan He | Grok ImagineNVIDIA+1 | — | Video ModelsAI Coding+5 | — | 1h 43m 26s | ||
| 5/28/26 | AI agentsasync agents+5 | Walden YanCole Murray | CognitionOpenInspect+12 | — | async agentsAI engineering+7 | — | 1h 08m 02s | ||
| 5/27/26 | protein foldinglanguage models+4 | Alex Rives | BioHubEvoScale+1 | — | protein sequencesESM-1+6 | — | 1h 10m 12s | ||
| 5/21/26 | AI EngineeringCloud Development+3 | Ivan Burazin | ComputerPerplexity+7 | — | AI Engineeringcloud development+3 | — | 1h 10m 27s | ||
| 5/20/26 | AI infrastructurecloud computing+3 | Jake Cooper | RailwayGCP+3 | — | RailwayAI Engineering+7 | — | 1h 28m 34s | ||
| 5/18/26 | drone technologygeopolitics+4 | Yaroslav Azhnyuk | The Fourth LawPetcube+1 | UkraineChina+1 | autonomous dronesdrone economics+5 | — | 1h 59m 28s | ||
| 4/27/26 | physical AIautonomy+4 | Qasar YounisPeter Ludwig | Applied IntuitionYC | Japan | physical AIautonomous vehicles+7 | — | 1h 12m 21s | ||
| 4/23/26 | Unsupervised LearningAI engineering+4 | — | Unsupervised LearningCursor-xAI+5 | — | AIUnsupervised Learning+5 | — | 54m 52s | ||
| 4/22/26 | AI adoptionShopify+4 | Mikhail Parakhin | Liquid AIUCP+6 | — | AIShopify+6 | — | 1h 12m 25s | ||
| 4/20/26 | cancer treatmentAI in healthcare+3 | Ron AlfaDaniel Bear | TARIO-2Noetik+1 | — | cancer trialsAI models+3 | — | 1h 25m 21s | ||
| 4/15/26 | AI toolingproductivity tools+4 | Simon LastSarah Sachs | NotionChatGPT+2 | LondonMiami | NotionCustom Agents+5 | — | 1h 17m 17s | ||
| 4/7/26 | Harness engineeringToken billionaires+4 | Ryan Lopopolo | OpenAISymphony | — | Harness engineeringToken billionaires+5 | — | 1h 12m 43s | ||
| 4/3/26 | AI developmentcomputing platforms+4 | Marc Andreessen | A16zMosaic+2 | — | AIcomputing platforms+5 | — | 1h 16m 20s | ||
| 4/2/26 | World ModelsCausal World Models+4 | Chris ManningFan-yun Sun | NvidiaWaymo+5 | — | World ModelsCausal Models+7 | — | 1h 06m 47s | ||
| 3/30/26 | TTS technologyAI model architecture+3 | Pavan Kumar ReddyGuillaume Lample | Voxtral TTSElevenLabs+3 | — | MistralVoxtral TTS+5 | — | 48m 48s | ||
| 3/24/26 | materials scienceAI for science+4 | Heather Kulik | Latent.SpaceAlphaFold | gymlab | materials discoveryAI+4 | — | 35m 14s | ||
Showing 53 of 221
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Latent.Space is an independent podcast creator known for its focus on the rapidly evolving field of artificial intelligence. By providing insights from industry leaders, it has established itself as a go-to source for news and discussions surrounding AI technology and its implications. "Latent Space: The AI Engineer Podcast" distinguishes itself by delving deep into the nuances of Software 3.0, covering topics like Foundation Models, Code Generation, and AI Agents. The format often includes interviews with key figures in the AI community, offering listeners both expert perspectives and foundational knowledge. The podcast attracts over 250,000 listeners, primarily AI engineers, tech enthusiasts, and researchers seeking to stay informed on cutting-edge developments. By blending technical discussions with accessible explanations, it delivers significant value, helping its audience navigate the complex landscape of AI advancements.
By the numbers
- Total followers: 101
- Total reviews: 92
Platforms
Podcast App
- Followers: 101
- Reviews: 92
Find them online
Audience
professionals
Key insights
What the show covers
- AI news and updates
- foundation models impact
- code generation techniques
- multimodal AI discussions
Audience interests
- AI engineering advancements
- software development trends
- cutting edge technology
- interviews with industry leaders
Platform reach
- available on major podcast platforms
- growing listener base
- focused on tech-savvy audience
- potential for wider distribution
Publishing consistency
- 191 episodes released
- active for three years
- weekly episode cadence
- consistent content delivery
Chart history for Latent Space: The AI Engineer Podcast
Peaked at #10 in TR, top 10 in 2 of 45 tracked markets, currently #10 in TR.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| TR | — | #10 | #10 | — |
| TH | — | #10 | #10 | — |
| Norway | — | #17 | #17 | — |
| SG | — | #20 | #20 | — |
| HK | — | #20 | #20 | — |
| India | — | #21 | #21 | — |
| BE | — | #22 | #22 | — |
| United Kingdom | — | #26 | #26 | — |
| Canada | — | #27 | #27 | — |
| Ireland | — | #29 | #29 | — |
| Sweden | — | #29 | #29 | — |
| Brazil | — | #29 | #29 | — |
| United States | — | #30 | #30 | — |
| South Korea | — | #32 | #32 | — |
| TW | — | #33 | #33 | — |
| IL | — | #35 | #35 | — |
| Australia | — | #36 | #36 | — |
| AE | — | #37 | #37 | — |
| New Zealand | — | #39 | #39 | — |
| Italy | — | #41 | #41 | — |
Chart Positions
45 placements across 45 markets.
Chart Positions
45 placements across 45 markets.