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Shawn Wang

Cofounder & CEO, AI Engineer · 128 appearances on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderhostauthorengineerinvestor@swyx ↗LinkedIn ↗swyx.io ↗

Shawn Wang, known as swyx, popularized the AI Engineer role via his 2023 essay and authored The Coding Career Handbook. Formerly Head of Developer Experience at Temporal, he now leads the AI Engineer conference series and angel invests in developer tools.

197statements → 104claims → 58claims resolved → 64%fully supported → 3.58/5average certainty → 2.32/5average debate potential → 3.9/5argument clarity · the sources → 17said about them ↓

37 supported 12 partly supported 9 contradicted 8 not yet assessed 38 not checkable as stated how the 104 claims stand · each chip opens the sources

32 predictions · 72 assertions · 51 opinions · 37 insights · 5 disclosures · every statement was checked. The predictions and assertions are the 104 claims: statements the public record can support or contradict. 58 are resolved, 8 are not yet assessed, and 38 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Shawn argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
DeepSeek-R1 researchers found MCTS and Process Reward Models were not useful
“R-one specifically said, yes, we tried MCTS. Yes, we tried PRMs. And none of that is useful.”
Shawn Wang Jan 24, 2025 ▶ 10:32 The Unreasonable Effectiveness of Reasoning Distillation: using DeepSeek R1 to beat OpenAI o1

Their most notable contradicted claim

Prediction Didn’t hold up
Swix: OpenAI will issue a cryptocurrency token to fund compute
“There is still one more shoe to drop, which is the non sovereign wealth funding that open AI needs to get, which they've promised to drop by the end of this year. And my money is on, they have to do a coin. Like it's, I'm not a crypto guy at all, but like, y…”
Shawn Wang Oct 16, 2025 ▶ 49:13 Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)

Expressed certainty vs assessment result

none yet certainty 1
0% certainty 2
50% certainty 3
83% certainty 4
50% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

Argument clarity: do they answer the question? how? →

3.9 / 5 directness 4.2 · coherence 3.8 · precision 3.7 · compression 3.5

redirected or did not address 1 of 15 assessed questions (7%). Watch them ▸

This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Shawn Wang on measured tape to publish a rate. This says nothing about how they speak.

Everything Shawn Wang said on Latent Space that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Swyx predicts coding SaaS will outlive all other SaaS
“Coding SAS will be the last SAS in the world because all the other SAS will just be buildable via coding SAS.”
Shawn Wang Sep 7, 2026 ▶ 23:22 Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
Opinion
Google's internal compute credit market caused it to miss GPT
“This is a thing that has been tried internally within Google, and it led to Google missing GPT.”
Shawn Wang Jun 18, 2026 ▶ 13:46 Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
Prediction Not checkable as stated
Swix: Pull requests and code reviews are dying, replaced by prompt requests
“The pull request is dying. Yeah. Right? It's going to be the prompt request. And then beyond that, code review is also kind of dying”
Shawn Wang May 20, 2026 ▶ 1:12:23 The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
Opinion
Swix: Standalone Vector Databases Are Over as a Category
“Everyone has vector indexes now, but like, I think it's fair to say vector databases as a standalone category are over.”
Shawn Wang Apr 18, 2026 ▶ 4:53 ⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
Prediction Didn’t hold up
Swix: OpenAI will issue a cryptocurrency token to fund compute
“There is still one more shoe to drop, which is the non sovereign wealth funding that open AI needs to get, which they've promised to drop by the end of this year. And my money is on, they have to do a coin. Like it's, I'm not a crypto guy at all, but like, y…”
Shawn Wang Oct 16, 2025 ▶ 49:13 Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
Prediction Not checkable as stated
Swyx: AI models hit a 2T parameter wall, won't reach 10T
“As far as everyone is concerned, Claude, you know, Opus 3.5 is not coming out. GPT 4.5 is not coming out. And Gemini two, like we don't have pro whatever we've hit that wall, whatever that wall is. Maybe I'll call it like the two trillion parameter wall. Like …”
Shawn Wang Jan 1, 2025 ▶ 40:13 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
Opinion
Swyx found Codex preferable to human marketing consultants for ads
“Codex has been my CMO for the last like two months. Basically running our ads and giving me advice on AEO and SEO and what have you. And I find it much more preferable to talking to a real human consultant, which I've also done. And it's roughly the same resul…”
Shawn Wang Sep 7, 2026 ▶ 33:35 Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
Insight
Custom $50B ASICs become economically rational for $500B AI training runs
“If you have a trillion dollar or five hundred billion dollar training run, then take fifty billion of that and make an ASIC. Like, it's fine. Like you will get more than 10% efficiency from the ASIC. And like, that makes sense.”
Shawn Wang Aug 3, 2026 ▶ 1:06:55 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
Prediction Not checkable as stated
Swyx: AI p(doom) over the next ten years is near zero
“I mean, if you do it in 10 years is near zero.”
Shawn Wang Jul 10, 2026 ▶ 15:09 Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv
Prediction Not checkable as stated
Swyx: LLMs will plateau and potentially trigger a 30-year AI winter
“Yeah, probably LLMs are going to run out at some point and they're not AGI and okay, we have maybe another 30 years of AI winter or something and then like the next paradigm really is actually the thing.”
Shawn Wang Jul 10, 2026 ▶ 15:39 Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv
Prediction Not checkable as stated
Swyx: Specialized agent labs like Cursor, Cognition, and Harvey will endure
“There will always be capability overhangs. They may not stay still, and so you gotta be nimble. But the Sierras of the world, the Cognitions of the world, the Cursors of the world, the Decagons and Harvey's, these are all agent labs for their field. They can b…”
Shawn Wang Jul 10, 2026 ▶ 23:47 Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv
Insight
Swyx: Agent labs will capture higher margins than model labs
“I think what I've been calling agent labs, which are people who build on top of all the other models. We'll probably have a better time with the margins because they price against the end user hours spent or like human labor. Whereas models get commodity price…”
Shawn Wang Feb 19, 2026 ▶ 53:56 Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
Assertion Partly supported
OpenAI Plans to Scale Compute Power Capacity to 125 Gigawatts
“For OpenAI to go from like two gigawatts of compute this year to 30 with everything they've already announced, and then there's a plan for the next 125. Like, the United States uses 300.”
Shawn Wang Nov 14, 2025 ▶ 1:15:33 Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
Prediction Not checkable as stated
Swix: Frontier model sizes have likely peaked around 2 trillion parameters
“I wonder if we've hit the peak big model craze because now I do expect, you know, 10 trillion model releases, you know, 100 trillion model releases. Probably not. I think we might have peaked at two.”
Shawn Wang Oct 20, 2025 ▶ 9:22 ⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
Assertion Contradicted
Swix: Every frontier lab now distills dense models into MoEs
“I think like, I think this is the pattern for every frontier lab now.”
Shawn Wang Oct 20, 2025 ▶ 36:32 ⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
Insight
Swyx: AI inference providers are a proxy for the open-versus-closed model gap
“The other thing I always think about from a finance point of view that, Maybe people don't even think, don't think about that closely, but obviously push back if you disagree, is that it's basically a proxy for the gap between open models and closed models. Be…”
Shawn Wang Aug 6, 2025 ▶ 13:16 The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
Assertion Not checkable as stated
Swix: OpenAI Deep Research was built by three people as an o3 wrapper
“As far as I know, it's three people did it. It was Isa and like the two other collaborators that she had. I don't know if they did that much on top of all three, like every indication I've had from over the eye is that deep research is more or less a thin wrap…”
Shawn Wang Jul 31, 2025 ▶ 25:36 The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
Insight
Swix: Cost-Unconscious Builders Win in AI by Building Ahead of Cost Curves
“So you should actually build your products ahead of where costs are so that by the time they are popular, actually your frontier. So it's actually, I think the efficiency thing trips up a lot of people in terms of Being cost and cost conscious and wasting a lo…”
Shawn Wang Jul 5, 2025 ▶ 24:41 ⚡️Anthropic vs Cognition on Multi-Agents: A Breakdown with Dylan Davis
Assertion Not checkable as stated
Swix: Claude 3 degraded in capability a month after launch
“I used the same project to do this, to try to repeat the demo that I made for myself a month afterwards, and it wasn't anywhere as smart. So cloud three got dumber, but it looks like I like made up the demo or something, but no, like literally I just reran the…”
Shawn Wang Apr 24, 2025 ▶ 7:42 Why Every Agent needs Open Source Cloud Sandboxes
Prediction Not checkable as stated
Swix: Chat completions are dying and early AI frameworks will age poorly
“Like, I don't think people realize, but, like, I'll just say it out here, like, chat completions is dying. So, like, any framework that was built in that era with, like, no conception of real-time, no conception of omnimodal or multimodal native things, they w…”
Shawn Wang Apr 24, 2025 ▶ 42:36 Why Every Agent needs Open Source Cloud Sandboxes
Opinion
Swix: Descript still sucks despite major funding and OpenAI backing
“Descript is so much funding. They had OpenAI invested in them, and they still suck.”
Shawn Wang Mar 14, 2025 ▶ 39:59 Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
Opinion
Swix: Most podcasts are bad because creators lack real-world experience
“The reason that most podcasts or YouTube videos are shit is they're made by people who don't have life experience, who are not that important in the world. They're not doing important jobs. And so what you want to actually enable is CEOs to each of them make t…”
Shawn Wang Mar 14, 2025 ▶ 1:14:55 Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
Opinion
Swix: Deep research agents are the first agent category with true PMF
“What are the hard problems in this brand of agent that is like probably the first real product market fit agent. I will say more so than the computer use ones. This is the one where like, yeah, people are like, yeah, easily pays for 200 dollars worth a month w…”
Shawn Wang Feb 18, 2025 ▶ 58:12 Why is everyone cloning Deep Research?
Insight
Swix: AI engineering exists because labs crowdsource emergent capability discovery
“The reason that AI engineering can exist outside of the model labs is because the model labs release Models with capabilities that they don't even fully know because you never train specifically for it. It's emergent. And you can rely on basically crowdsourcin…”
Shawn Wang Feb 1, 2025 ▶ 20:57 The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI

Show 24statements(173 left)

The other half of the tape: Shawn Wang's own voice is left out of every number here. Other people bring the name up 17 times in 10 episodes on Latent Space. every mention, with the transcript →

Who brings them up most Sam Julien 3Dex Horthy 3Sarah Chieng 2Roger Jin 1Quentin Anthony 1Alessio Fanelli 1

Every mention by year

tap a year for its mentions
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035202420252026episodes it came up in
001.52.535202420252026episodesmentions per episode
2026 3 mentions in 1 episode
2025 6 mentions in 5 episodes 1 per episode
2024 8 mentions in 4 episodes 2 per episode

Appearances (128)

EpisodeDateSpeaking time
Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code Sep 7, 2026 13m
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, S Aug 21, 2026 9m
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha Aug 3, 2026 14m
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI Jul 28, 2026 13m
Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv Jul 10, 2026 18m
The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw Jun 29, 2026 4m
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin Jun 24, 2026 13m
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP Jun 18, 2026 6m
Satya Nadella on AI: @NoPriorsPodcast x Latent Space Crossover Special at Microsoft Build Jun 3, 2026 1m
GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle Jun 2, 2026 12m
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Jun 1, 2026 16m
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind May 24, 2026 5m
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, May 21, 2026 14m
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper May 20, 2026 11m
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai May 14, 2026 5m
Senior Dev: This "Grill Me" Prompt Is Going Viral Among Top Engineers May 7, 2026 6m
The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Apr 27, 2026 5m
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Par Apr 22, 2026 21m
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J Apr 18, 2026 12m
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work Apr 15, 2026 6m
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Apr 3, 2026 6m
Dreamer: the Agent OS for Everyone — David Singleton Mar 20, 2026 9m
Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowled Mar 17, 2026 16m
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic Mar 14, 2026 5m
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbo Mar 12, 2026 6m
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup Mar 8, 2026 12m
Why Every Agent Needs a Box — Aaron Levie, Box Mar 5, 2026 11m
⚡️ Polsia: Solo Founder Tiny Team from 0 to 1m ARR in 1 month & the future of Self-Running Mar 1, 2026 6m
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR Feb 27, 2026 14m
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis Feb 24, 2026 22m
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z Feb 19, 2026 7m
The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean Feb 12, 2026 14m
Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!) Jan 17, 2026 6m
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hi Jan 9, 2026 17m
[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Dec 31, 2025 2m
[State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena Dec 31, 2025 5m
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundat Dec 28, 2025 7m
⚡️Jailbreaking AGI: Pliny the Liberator & John V on Red Teaming, BT6, and the Future of AI Dec 16, 2025 3m
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Dec 12, 2025 15m
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loï Dec 11, 2025 10m
The Great Evals Debate — Ankur Goyal & Malte Ubl Dec 7, 2025 7m
⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex Nov 19, 2025 6m
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures Nov 14, 2025 18m
⚡️Automating Scientific Discovery - Jessica Rumbelow, Leap Labs Nov 2, 2025 3m
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePD Oct 20, 2025 8m
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave) Oct 16, 2025 15m
DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever Oct 7, 2025 7m
⚡️Traversal: Causal ML and Reinforcement Learning Oct 5, 2025 2m
⚡️No, Don't Do Palantir for AI - Brendan Falk, Hercules (AUDIO FIXED) Sep 18, 2025 2m
Context Engineering for Agents - Lance Martin, LangChain Sep 11, 2025 9m
⚡️Launching Ona: Coding Agent with Fully Sandboxed Cloud Environment Sep 1, 2025 6m
Better Data is All You Need — Ari Morcos, Datology Aug 29, 2025 6m
Long Live Context Engineering - with Jeff Huber of Chroma Aug 19, 2025 11m
⚡️Accelerators @ 3x NVIDIA H200 perf, Made in the USA - Thomas Sohmers + Mitesh Agrawal, P Aug 18, 2025 1m
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information Aug 6, 2025 23m
⚡️OpenCode: Claude Code but Open Source, with Any Model, and frontier TUI - with Dax Reed Aug 5, 2025 5m
⚡️Mercury: Ultra-Fast Diffusion LLMs — Estefano Ermon, CEO Inception Labs Aug 4, 2025 4m
⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra Aug 4, 2025 1m
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai) Jul 31, 2025 13m
⚡️Using RFT to Build Clinical Superintelligence Jul 29, 2025 4m
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul Jul 28, 2025 17m
⚡️ARC-AGI-3: The Interactive Reasoning Benchmark Jul 18, 2025 5m
Cline: The Collaborative AI Coder Jul 16, 2025 6m
⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo Jul 14, 2025 4m
Personalized AI Language Education — with Andrew Hsu, Speak Jul 11, 2025 8m
⚡️Anthropic vs Cognition on Multi-Agents: A Breakdown with Dylan Davis Jul 5, 2025 6m
Information Theory for Language Models: Jack Morris Jul 2, 2025 20m
⚡️Warp 2.0: the Agentic Development Environment - Zach Lloyd and Ben Holmes Jun 25, 2025 5m
The Shape of Compute (Chris Lattner of Modular) Jun 13, 2025 6m
Quadratic: The AI Spreadsheet Jun 10, 2025 8m
[AIEWF Preview] Gemini in 2025 and Realtime Voice AI Jun 2, 2025 2m
The AI Coding Factory May 29, 2025 5m
⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect May 23, 2025 4m
Claude Code: Anthropic's CLI Agent May 7, 2025 14m
Voice AI Masterclass — Kwindla Hultman Kramer and swyx May 6, 2025 6m
⚡️Factorio Learning Environment: the ultimate Game Agent Eval — Jack Hopkins Apr 27, 2025 1m
Why Every Agent needs Open Source Cloud Sandboxes Apr 24, 2025 13m
Sleep-Time Compute — Letta AI (Charles Packer, Charlie Snell, Kevin Lin) Apr 21, 2025 4m
GPT 4.1: The New OpenAI Workhorse Apr 15, 2025 14m
The #1 SWE-Bench Verified Agent Apr 2, 2025 4m
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot Mar 28, 2025 14m
The Magic of LLM Distillation — Rishabh Agarwal, Google DeepMind Mar 23, 2025 3m
Fullstack-Bench: The Eval for Coding Agents — with Sujay Jayakar, Chief Scientist, Convex Mar 19, 2025 5m
npm install Agents — with Sunil Pai and Rita Kozlov (VP AI) of Cloudflare Mar 19, 2025 9m
Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith Mar 14, 2025 21m
[Lightning Pod] Evals: How to Improve AI Consistently — with Hamel Husain and Shreya Shank Mar 13, 2025 6m
The new OpenAI Agents Platform: CUA, Web Search, Responses API, Agents SDK!! Mar 11, 2025 4m
Solve coding, solve AGI [Reflection.ai launch w/ CEO Misha Laskin] Mar 7, 2025 3m
Raycast: Your AI Automation Assistant Feb 26, 2025 1m
Why is everyone cloning Deep Research? Feb 18, 2025 10m
Bee AI: The Wearable Ambient Agent Feb 17, 2025 6m
Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire Feb 6, 2025 11m
The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguye Feb 1, 2025 11m
The Unreasonable Effectiveness of Reasoning Distillation: using DeepSeek R1 to beat OpenAI Jan 24, 2025 3m
OpenAI o1 isn’t a chat model (and that’s the point) Jan 17, 2025 3m
AI Engineering for Art - with comfyanonymous Jan 4, 2025 5m
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise Jan 1, 2025 1h 17m
The State of AI Startups in 2024 [LS Live @ NeurIPS] Dec 21, 2024 1m
0 to over $8M ARR in 2 months as a Claude Wrapper (Bolt.new, Qodo) Dec 2, 2024 10m
[Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shre Nov 29, 2024 1m
The new Claude 3.5 Sonnet, Computer Use, and Building SOTA Agents — with Erik Schluntz, An Nov 28, 2024 12m
Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI Nov 25, 2024 9m
Agents @ Work: Dust.tt — with Stanislas Polu Nov 11, 2024 8m
In the Arena: How LMSys changed LLM Benchmarking Forever Nov 1, 2024 5m
How NotebookLM Was Made Oct 25, 2024 10m
Singapore: the AI Engineer Nation — with Minister Josephine Teo Oct 19, 2024 8m
Building AGI in Real Time (OpenAI Dev Day 2024) Oct 4, 2024 13m
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of L Sep 27, 2024 10m
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org Sep 20, 2024 11m
Building AGI with OpenAI's Structured Outputs API Sep 17, 2024 16m
Is finetuning GPT4o worth it? Aug 22, 2024 6m
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nel Aug 7, 2024 4m
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI Jul 23, 2024 10m
How to train a Million Context LLM — with Mark Huang of Gradient.ai May 31, 2024 8m
This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Apr 27, 2024 7m
Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI Apr 6, 2024 7m
Why Google failed to make GPT-3 -- with David Luan of Adept Mar 27, 2024 6m
Making Transformers Sing - with Mikey Shulman of Suno Mar 14, 2024 6m
Truly Serverless Infra for AI Engineers - with Erik Bernhardsson of Modal Feb 19, 2024 12m
Building an open AI company - with Ce and Vipul of Together AI Feb 8, 2024 8m
The State of AI in production — with David Hsu of Retool Feb 7, 2024 11m
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceG Dec 17, 2023 11m
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis Dec 5, 2023 3m
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind Nov 3, 2023 5m
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue Oct 21, 2023 11m
RAG is a hack - with Jerry Liu of LlamaIndex Oct 12, 2023 9m
Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai Sep 20, 2023 27m
Ep 18: Petaflops to the People — with George Hotz of tinycorp Jun 20, 2023 5m
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