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@mattpocockuk If you’re not watching the whole thing, at least read the written version. It’s worth it: lilys.ai/digest/9262183…

A talk I gave a few weeks ago. Software fundamentals matter more than ever. Here's why: youtube.com/watch?v=v4F1gF…

@Kantrowitz @OpenAI @gdb Here’s a readable note version if you want the main takeaways on GPT 5.5 and where OpenAI is heading: lilys.ai/digest/9262190…

Emergency Big Technology Podcast 🚨 @OpenAI President @gdb on GPT 5.5 — a.k.a "Spud" — and what it means for the company's direction, competitiveness, and the notion of a "compute-powered economy." Lots here! Chapters: 00:00 Intro: GPT-5.5 “Spud” 00:57 What GPT-5.5 Can Do 02:56 OpenAI’s Agent Roadmap 05:49 Training and Real-World Tasks 09:55 Model Moats and Distillation 15:55 Cybersecurity Risks 21:01 Trusting Agents 23:36 The Compute-Powered Economy

@enjojoyy @mattpocockuk Even if you don’t watch the full video, the written version is absolutely worth reading: lilys.ai/digest/9262183…

This video addresses all the problems I had while using AI for writing code, going to be trying out the mentioned skills absolutely goated @mattpocockuk youtu.be/v4F1gFy-hqg

@rohit4verse Here’s a note version showing how one person can build, research, and market with this stack: lilys.ai/digest/9262163…

Sam Altman: "if i were 22 right now, i'd feel like the luckiest kid in history." the reason? a one-person billion dollar company is finally possible. i just published the stack those founders are running. five jobs. one person. zero hires.

@Ai_here202 Organized this into a note with screenshots so it’s easier to go through: lilys.ai/digest/9058516…

FULL Claude Tutorial for Beginners in 2026! (Become a PRO!) Credit : AI Foundations

@PTrubey Same here. I expected some overlap, but this one had enough substance that I ended up turning the key ideas into a readable note: lilys.ai/digest/9262148…

I keep seeing this interview being recommended in my timeline, but I had already seen Dylan being interviewed recently so didn’t think this would add much. I was wrong. This is a banger 40 minute interview chock full of interesting insights. This clip is about robotics, but there is tons of other insights about the entire AI industry.

@MatthewBerman Turned the conversation into a readable note with the main takeaways here: lilys.ai/digest/9262139…

Every AI lab is starving for compute. Except Google. I spoke with Thomas Kurian, Google Cloud's CEO, to understand why Google doesn't just hoard compute before AGI, their relationship with Anthropic, and that viral tweet about Google's engineering culture. Watch now: 0:00 – Intro 0:42 – Google's Insane Compute Capacity 03:17 – TPU Monetization 05:24 – Why Google Doesn't Hoard Compute? 08:02 – Datacenter Buildout 15:01 - Does AGI Mean Job Displacement? 17:55 - NVIDIA vs TPU (Total Cost of Ownership) 23:25 - 8th Gen TPU 24:32 - Training vs. Inference 30:53 - Google's "Extreme Co-design" 35:01 - Working with Anthropic 37:46 - Serving Mythos-sized Models (10T) 41:42 - Google engineering culture (Steve Yagge tweet) 48:27 - Cybersecurity 51:50 - What keeps Thomas up at night?

@phosphenq If you’d rather skim it first, I organized the lecture into a much easier-to-follow note here: lilys.ai/digest/9262126…

This 2 hour Stanford lecture will teach you more about how ChatGPT & Claude are actually built than every AI video on the internet combined. Bookmark & carve out 2 hours tonight, no matter what. You'll never see these models the same way again.

@theo Appreciate the honest take. If you prefer reading, I turned it into a quick, easy-to-skim note here: lilys.ai/digest/9262104…

My honest thoughts on GPT-5.5, reporting from my hotel room in Miami

@MengTo Thanks for sharing this. Turned it into an easy-to-skim note with screenshots: lilys.ai/digest/9262093…

I recorded a 43-min video on how to turn a DESIGN.md into landing pages, mobile screens and motion design

@BoringBiz_ If you prefer reading, here’s a clean note version of the conversation with the key ideas on AI chips, GPUs, and token economics distilled in one place: lilys.ai/digest/9262086…

Cannot believe this is available for free on the internet Brad Gerstner sits down with Sunny Madra at Stanford University to discuss the economics of AI chips, GPUs, NVIDIA and tokens Sunny is by far one of the most impressive serial entrepreneurs of our time > Co-founded Xtreme Labs, sold to Pivotal > Founded Autonomic, which sold to Ford > Founded Definitive Intelligence, which sold to Groq > Groq ultimately sold to NVIDIA, in their largest ever M&A deal at $20 billion Shoutout to @apoorv03 for hosting them in his MS&E 435 class and publishing these talks for us to listen!

@rileybrown Useful post. Especially for anyone trying to quickly understand where GPT-Image-2 fits across ChatGPT, Playground, and Codex: lilys.ai/digest/9223752…

GPT-Image-2 was just released... It's the best image model (By a wide margin) Heres how to use GPT-Image-2 in ChatGPT, OpenAI Playground and of Course - Codex. TIMESTAMPS 00:00 Intro 01:27 Initial Tests of GPT-Image-2 02:24 It can GENERATE working BARCODES? 03:40 11 Edits one Prompt 06:40 Creating Cartoons 07:40 Overlay Explanations 08:50 How to Get Started 10:51 IPhone Mockup Images (Amazing) 15:43 Using GPT-Image in OpenAI Playground 16:11 Generate images in 4k 17:44 The FIRST limitation... Its bad at counting 18:26 Using GPT-Image in Codex (Agentic Image Gen)

@RoundtableSpace Also turned it into an easier-to-follow note with screenshots and key takeaways in one place: lilys.ai/digest/9223603…

FULL 1 HOUR CLAUDE DESIGN COURSE ON BUILDING INTERACTIVE ANIMATED WEBSITES WITH AI

@RohOnChain Also turned it into a visual note with the key takeaways in one place: lilys.ai/digest/9051057…

This 1 hour MIT lecture will teach you more about building real Generational Wealth than 20 years inside any hedge fund, investment bank or financial institution. Bookmark & watch, no matter what. It'll be the most productive thing you do this week. Then read the article below.

We’re looking for LilysAI Ambassadors ⚡️ If you use LilysAI regularly, love turning great content into something easier to understand and organize, and enjoy sharing useful insights with others, we’d love to hear from you. Perks ✔️ LilysAI benefits ✔️ Extra rewards for top ambassadors ✔️ Early access to new features and updates ✔️ A chance to be featured on our official channels Apply now to join the LilysAI Ambassador Program: slashpage.com/lilysai-ambass…

@phosphenq Absolutely worth the 2 hours. Turned it into an easier-to-follow note with the key ideas, screenshots, and takeaways in one place. lilys.ai/digest/9210334…

This 2 hour video by Andrej Karpathy (co-founder of OpenAI) will teach you more about using LLMs than every AI tutorial you've watched this year combined. Bookmark & watch tonight, it will change the way you use AI forever.

@chinsanity @gabusch @YieldGuild Here’s a clean note with the key ideas, screenshots, and takeaways in one place: lilys.ai/digest/9210203…

My Full Podcast with Gabby Dizon (@gabusch), Cofounder of @YieldGuild. 01:38 What is YGG 04:25 Axie Infinity 07:27 Gabby's background 14:15 Founder mentality 17:00 YGG & AI 24:53 The end goal for YGG 27:56 Roblox 31:05 GTA 6 & crypto 36:58 Abstract blockchain 41:07 Metaverse/VR 45:22 Lessons from being a founder 47:13 YGG outlook for the future

@collision @t_xu @DoorDash Great episode. Here’s an easier-to-follow note version with the key ideas, screenshots, and takeaways in one place. lilys.ai/digest/9209063…

Whenever I catch up with @t_xu of @DoorDash, I enjoy how encyclopaedic his knowledge of the restaurant industry is. In this episode we get into the economic forces driving the industry, along with a demo of Dot, their foray into autonomous delivery. 00:00:25 Why did DoorDash win? 00:10:50 China 00:17:10 Restaurant trends 00:27:59 Loyalty 00:30:40 Stripe Issuing 00:44:09 Delivery modalities 00:51:11 Fraud 00:58:32 New products 01:13:26 Dot

@vxt0r_ @reinerpope @itsclivetime @dylan522p Thanks!!

@LilysAI_ @reinerpope @itsclivetime @dylan522p cool!

Intelligence per picojoule, with @itsclivetime and @dylan522p (0:00) Intro (1:22) What is codesign? (2:49) Codesign example: Swish vs ReLU (4:22) Are DeepSeek papers codesign? (6:45) Predicting where ML research will go (8:06) Should researchers hate your chips? (9:34) Can you codesign too much? (13:23) Picking the right grain size for specialization (16:22) How much hardware flexibility for The Age of Research? (20:05) Did reasoning and RL disrupt hardware roadmaps? (23:09) Cerebras/Groq: unexpected wins on reasoning and RL (25:34) Disaggregating MLP and attention (29:06) The right metrics for quantization and codesign papers