swyx 🗽 @aiDotEngineer NYC

We placed the fruit fly brain inside Odyssey-3, a frontier world model. The lil’ guy is now flying around totally imagined, simulated worlds all by itself 🫶

🆕 post: Eating the Cloud from Outside In How do you compete with 3 clouds 50x your size? While they play Chess, @Cloudflare plays Go. swyx.io/cloudflare-go/

Amused that AWS just unilaterally cancelled Cloudflare's Reinvent booth. There are always signs when someone finally realizes they're losing. Guess we'll just attend and throw the most fun side events without paying Amazon! Reply if you want an invite.

Hello Software Engineers, I lead TypeSafe AI Model Capabilities team. We are hiring. Here are a few qualities we are looking for: • strong plus for people who resonate with the title "Experience Engineers": mobile engineers, full stack engineers, or even (virtual) reality engineers. • strong coder (you need to be able to manually write code) • product oriented thinker I promise are fun! I trust that you will figure out how to apply.

CLAUDE FOUND THE SEEDS anthropic.com/research/ecdsa-curve-origins

🆕 show: HIGH TASTE TESTERS We convene top Al power users to compare what actually works-and what falls apart once you start using it.@davis7, @benhylak, @dexhorthy, @allisonology, @altryne and @swyx give you unfiltered takes on @OpenAl DevDay, Dots vs Muse vs GrokBot vs Instinct, who's winning coding, personal assistants, and the gap between impressive Al capabilities and useful products. From Pi-powered personal agents and decision models to subagents, context management, prompt injection, and assistants that can spend money: what should you actually use? CHAPTERS 00:00 Introducing High Taste Testers 01:26 OpenAl DevDay: Dots, Spaces, and product execution 10:28 Great models versus great products 14:39 Agents versus assistants 18:08 Building a personal assistant with Pi 21:07 Decision models, Jev, and predictive interfaces 32:46 Model speed, writing quality, and subagents 37:29 Agent loops, forks, and context management 43:19 Haiku, Muse Spark, and Grok 50:00 Local models and coding benchmarks 54:09 Prompt injection and assistants taking action 57:50 Tools, payments, and assistant overload 1:02:16 Delegation, computer use, and everyday workflows 1:10:48 Al hardware and closing thoughts THANKS TO THE TESTERS Ben Davis - @davis7 Ben Hylak - @benhylak Dex Horthy - @dexhorthy Allison Durham - @allisonology Alex Volkov - @altryne

NEW: Jump, DRW are committing traders and capital to the emerging compute market, just as how they were betting on other markets during their early days such as digital assets

Live from @aidotengineer New York!

ANNOUNCEMENT: I'm on the main stage @aiDotEngineer on Oct 14 w The Dark Pools of Compute - a look at how compute is actually bought and sold, what sets its price, from power and financing to policy, and what a more mature market could mean for anyone building on it.

At AI Engineer New York, Anthropic's @cjav_dev & @HarrisonStall from @ClaudeDevs drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers. latent.space/p/claude-dynamic-workflows

We're excited to announce our AI Engineer New York speaker lineup! Presented by @arizeai CEO @ExaAILabs CTO @tryramp CEO @ValsAI CEO @RogoAI CTO @modal CEO @trybasis CEO @SonarSource CEO @runwayml CTO @mintlify CEO @sfcompute CTO Bridgewater CTO @turbopuffer CEO @NousResearch CEO @gen_intuition HEAD OF AI @coatuemgmt TECH LEAD @Vanguard_Group MTS @GoogleDeepMind HEAD OF DEVX @cerebras HEAD OF US BD @MiniMax_AI DEPUTY CISO @Mastercard COO @citsecurities SR. STAFF ENGINEER @GEICO HEAD OF ENGINEERING @linear DIRECTOR OF DX @togethercompute HEAD OF AI PRODUCT @coinbase AI INVESTMENT LEAD @BlackRock GROUP HEAD OF DATA & AI @Wise HEAD OF AI @FTI_Global KNOWLEDGE GRAPHS LEAD @Point72Careers DIRECTOR, AI & DATA @AlixPartnersLLP ANALYTICS ENGINEERING LEADS @monzo DISTINGUISHED ENGINEER @CapitalOne OPS & INFRASTRUCTURE LEADER @RevolutApp GLOBAL CHIEF SECURITY ARCHITECT @jpmorgan CORPORATE VP @NewYorkLife HEAD OF FRONTIER AI MODELS @WellsFargo AGENT HARNESS ENGINEER @cursor_ai / @xai COFOUNDER @getcompoundai (ex-VP @coatuemgmt + @ycombinator) DIRECTOR OF DATA SCIENCE @Fidelity HEAD OF DATA, DIGITAL & AI @apolloglobal SVP, ENTERPRISE PLATFORM ENGINEERING ARCHITECTURE @twosigma PARTNER, HEAD OF THEMATIC INVESTING @apolloglobal HEAD OF ARCHITECTURE & EMERGING TECH, OFFICE OF THE CTO @Bloomberg PRODUCT + ENGINEERING LEAD, CHATGPT FOR FINANCIAL SERVICES @OpenAI PRODUCT + ENGINEERING LEADS, CLAUDE FOR FINANCIAL SERVICES @AnthropicAI Oct 12–14 in NYC. ai.engineer/nyc

Claude Managed Agents dynamic workflows are now available in public beta. It's a new type of multiagent orchestration, built for your most ambitious workloads. A lead agent writes a plan that runs across many agents in phases, combining the results at the end.

lots of folks prepping talks next week (congrats!). Some thoughts from RLing on thousands of hours of engineer- and researcher- focused talks: - AI generated svgs > AI generated imgs. MAXIMUM 4 ai slop images in your slides, I don't care how pretty your mom thinks they are (exception ofc if your talk is ABOUT imagegen) - Be pointy. Better to have 1 message with 5 surprising applications, than 5 messages with no concrete examples. - Put code on screen. Engineers like to see code. Especially if they can nitpick it to death over things that aren't the point. - Don't forget to Entertain. Being actually funny, or good at telling relevant anecdotes, is more important than adding yet another bullet point. - Have a Thesis. every talk gets ONE "if you remember one thing from this talk, it is this" card. 1) SO MANY PEOPLE DON'T USE IT. 2) SO MANY PEOPLE DON'T PLAN FOR IT. you get one. use it well? - Have a Thesis Slide. you've been in that talk where everyone gets their phone out to take a photo of the slide. Because people see 1000x more images than videos, you are much more likely to have a viral talk/slide if you have a single viral slide. You are much more likely to have a viral slide if you TRY and most people do not TRY. Struggling? Collect examples from talks you like and adapt their format to your thing. Your slides have a power law - don't spend 5% of your time each on 20 slides, spend 80% of your time on 1 slide and have the rest build up to that 1 slide. - You might not need slides. live demo in IDE, off the cuff rambles, pull audience member up to roleplay, do call and response with the audience, sing/perform, voice over vibe videos, I have seen it all. higher risk/effort, higher reward when done well. - Be pleasant to listen to. Talks with bad/no visuals still can be listened to. Talks with bad audio are DOA. Be confident, project, remember vocal variation, evoke emotion. - Design the emotional journey. Start strong, end strong, have a peak aha/laugh/thesis moment in the middle. Everything else is buildup. - Data driven talks are underrated. Present pretty charts and surprising, authoritative numbers. Use the stage authority to infer from the data to support the broader thesis. Done well, it will feel like my obvious conclusion from objectively looking at the data you presented, not you feeding the conclusion to me. - How to shill your product/company without feeling salesy: teach me everything I didn't know I should to know about the problems you solve, and then you shall have earned the right to convince me you are the guys to trust to solve it once and for all. - Actively watch a lot of talks. like with anything you both need a lot of reps AND you need to explore to find the styles/role models that you shine in. Passive = no introspection after watching, just mindlessly autoplay next video. Active = trying to articulate why a talk was good/bad after watching. If you want to REALLY hone it, think about how you feel about a famous talk and then TRANSCRIBE the talks and read the words on the printed page, and then compare with a "normal" talk and define rules you will follow for yourself to improve. thanks to @dexhorthy for organizing the AIEWF Speaker prep meetup tonight. we should actually do more of these....