Shawn Wang

At WF26 thariq was talking about unhobbling the model At CODE26 i'm excited to explore what happens when you unhobble the speaker :)

excited for @Cloudflare's debut as a frontier lab #NothingButNET gang, assemble!

could not imagine a better pairing. congrats deepcat!!!

i've been working on an app design skill and i can say this is the most valuable addition to any model ive used for making real working software instead of flashy designer demos

this is a joke but reminder that extreme ageism in silicon valley is real and not even self aware and yes you should be concerned that a majority of ai apps for the entire world are being built by admittedly hyperintelligent coders who have never worked in a team of >10, never cared for elders or kids, never voted, and are 90% white/asian male

RT Paul Copplestone - e/postgres we sat down with @swyx to discuss how the agentic database space evolving also covered: ◆ developer marketing & memes ◆ product-led sales ◆ why we acquired Turso ◆ early days and Hacker News watch the full interview on @latentspacepod : https://www.youtube.com/watch?v=zHG6sAss_kE

Gemini #1 on AAv5??? this is making me open up @antigravity for the first time in a long time. i’m getting an early review, will report back soon. if google actually pulls this off it is officially comeback season with Meta, Grok and now GDM being cool again. @saranormous talked about model neurodiversity last year. we have roughly 2x more frontier labs than when she was last on the aie stage. absolutely bizarre counter example to the bitter lesson.

RT lily clifford introducing prism, the world’s first speech-to-speech model you can’t tell from a human in conversation prism has: > 300ms response time, 4x faster than OpenAI GPT-Live > outperforms every other s2s model on intelligence (with NO reasoning) > the first s2s model customizable through reinforcement learning we’re a team of 35 with $35M in funding, and we’re unlocking s2s model adoption faster than openai, google, and x. the first 100 people to sign up here get 1 month free: https://rime.ai/prism?utm_campaign=prism-launch&utm_source=X&utm_medium=organic

Happy anniversary to Ligma/Johnson 2026

hello from literally everybody who took psychology 101 in undergrad

RT Nehal My favourite event I ever hosted was a karaoke and trivia night in New York ❤️ We brought the community members of Latent Space together to sing our hearts out - WHO KNEW THEY’D HAVE SUCH BARS!!! Thank you to my partner in crime @KaylinWardley ❤️ Until the next time :)

at spacex ipo everyone was posting their cursor bag fumble. kid stuff. my turn. i estimate this was a $500m bag fumble lol. and very probably wouldve been on claude code early (bc i've been a typescript cli maintainer). fml.

agi can prove p = np but not vibecode a better contact form than random gmail address

will you buy $ANT stock at a $2T valuation?

it is absolutely surreal to me to say this but i think we had more listeners to our @finkd @biohub episode than Aaron Sorkin's The Social Reckoning lmao as i keep saying, if Priscilla and Mark do this right, Facebook will be a mere footnote in the overall wikipedia entry of humanity, a bootstrapping mechanism for Meta Superintelligence and the largest coordinated open source basic science research into human health reject the @bryan_johnson n=1 erection memes, embrace SCIENCE

bro moved from Claude Code to AIE Code power move tbh

RT Thariq going to be sharing my WoW forever shaman build at the AIE Code closing keynote

RT AI.Engineer 🔜 SF Code Summit Diogo Almeida and the TypeSafe AI team are bringing Jev to AIE CODE. System One models and what people are building with them. November 10 to 12, San Francisco. Apply to attend: https://ai.engineer/code

RT AI.Engineer 🔜 SF Code Summit Your coding agent's verbosity is a code review problem. Ben Holmes at AIE NY on scoring redundant tests and noisy explanations. Scaling without Slop at AIE CODE. November 10 to 12, San Francisco. Apply to attend: https://ai.engineer/code

with @mattbergland running http://aie.codes sponsorship the Token Billionaire program has shot up in demand and value... at the same time that my own token application has found PMF (eg for building http://l.sc ) . we may have to create a new level of token billionaire soon...

RT Galen Gao First time at the Latent Space studio after being three year listener First time interviewing a true inspirer and podcaster that really explains the AI’s complexity in “human” way First time we are going to bring @aiDotEngineer to Shanghai with Mengying and her team Thanks for the conversation @swyx and can’t wait to see what is coming in Shanghai!

RT adlin fyi I read every single email that comes into our business inbox (yes, dozens a day!) and it is painfully obvious when the email hasn’t been vetted by a human or you haven’t actually done your research on our pod 😔

psa to all vc’s trying to slide in our dms

fake news btw i got him

reject vc founder grind if u are hot corgi/wasian you should be sliding into dms for post economic bootstrapped ai founders with a bunch of angel exits and even more friends than money and complete control of their destiny

the statistics show, if you have only 1 brain cell and you are perfectly mid, you should subscribe to @latentspacepod

*taps sign* read your own emails your apps send out. particularly if they are being vibecoded. real humans still care and do read them.

RT Basil Chatha Last week, @bernhardsson (Founder & CEO, @modal) announced a $750M Series D. I sat down with him the prior week to discuss a ton of stuff about the business. We got into: -why open-source models made fine-tuning a lot less necessary -how Modal's team grew 4x in a year and could hit ~700 people next year -why the frontier labs have the same business model as music artists and much, much, more… Enjoy! Timestamps: 0:00 What Modal does 1:25 From @Spotify to building @modal 4:19 Founding before the generative AI boom 7:43 First customers and fundraising 10:00 Building for inference and autoscaling 13:21 Where Modal gets GPU capacity 15:39 Renting vs. owning infrastructure 19:45 The risk of GPU prices falling 24:18 Is AI demand infinite? 28:25 What Modal can learn from neoclouds 30:26 GPUs as an asset class 31:55 Modal’s products: functions and sandboxes 36:03 The case for smaller training workloads 41:21 How agent sandboxes are changing 46:48 @AnthropicAI and sandbox security 49:29 Using agents to test security 52:51 Developer experience in the age of agents 57:45 What Modal’s forward-deployed engineers do 59:55 Modal’s approach to product management 1:03:29 Optional code reviews and engineering culture 1:05:56 Cloud, on-prem and bring-your-own-cloud 1:09:25 Capacity, fundraising and growth 1:13:07 Scaling the team 1:17:28 Erik’s tweets: ephemeral sandboxes 1:18:31 The problem with rectangular GPU contracts 1:21:20 Inference providers vs. model builders 1:23:25 Where models improve next

i shit you not this was a legit trade that @goodalexander made in our $1B hedge fund days and it has printed for well over a decade at this point markets are not efficient and the ribs are good

RT Nehal just casually having the most musically inclined people come in every Thursday night and play tunes

RT Latent.Space GPU contracts tend to come in rectangles: a fixed number of chips for a fixed number of years. AI workloads don’t. They spike, shrink, and grow. @bernhardsson returns to explain how @modal turns those long-term commitments into elastic compute—and the tradeoffs that come with it. Modal’s sandbox product almost got shut down. Erik says it now accounts for roughly a third of revenue. We also get into GPU price risk, model startup time, and why code review is optional at Modal. 0:00 What Modal does 1:25 Spotify to Modal 10:00 Inference and autoscaling 13:21 Where Modal gets GPUs 19:45 What happens if GPU prices fall? 31:55 Functions and sandboxes 41:21 The agent sandbox boom 52:51 Developer experience for agents 57:45 Forward-deployed engineers 1:03:29 Optional code review 1:18:31 Why GPU contracts are rectangles 1:21:20 Inference providers vs. model builders Watch on YouTube: https://youtu.be/IiZ9yd2Do8I Podcast & show notes: https://www.latent.space/p/modal-d

imo this is the right attitude - dont blame AI for finding the bugs, just fucking lock in on clearing all the bugs asap https://www.latent.space/p/ainews-openais-patch-the-planet-program

RT Stephanie Zhan I’m starting a new early-stage AI fund, doing what I love: partnering with founders from company formation on bold bets, long before consensus. The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future. I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf. Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent. Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade. Life has taught me not to take time for granted. This is how I want to spend mine. Why now We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten. But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible. This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition. More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, ...

Opus 5.5 is the best work estimator model i've ever used. This is calibration that is increasingly important as we delegate more and more work — don't tell me that it's going to take 2-3 working days (what a human would do) when for you, an enthusiastic, indefatigable, and embarrasingly parallelizable AGI, can get it done in 2-3 hours.

RT Louis-François Bouchard My AIE talk is live! I talk about the benchmark I've been building for 5 months now and released it publicly for the first time there :) Louis-François Bouchard of Towards AI breaks down what makes AI writing feel like slop: overused words, vague generalities, saying nothing, repetition, hallucination and a voice that sounds like everyone at once. He then shows how his team built a benchmark to measure whether a model can write a video script in his own voice: 10 scripts, 5 drafts per model, 4 LLM judges, nine scoring metrics and 1,000 human A/B checks. He shares what it cost, why judges favor their own model family, and practical tips for writing with AI: very long prompts full of examples, one review pass from a strong model, many cheap drafts merged together, and always a human edit. Thanks again @aiDotEngineer, @swyx for inviting me and hosting yet another amazing event. Watch it here: https://youtu.be/_dTF3NpPzGo

THIS THING CAN LIFT A CAR??

this is my quant

ok we are doing another high taste testers on the elizabeth holmes documentary: YOU CAN SEE EVERYTHING this Saturday in SF - who is in and has Hot Takes about the best movie of the year?

When we framed @trq212's pod about Claude Code's Next Era, we meant it. we took some directive from @_catwu and did a proper deep dive on the new Claude Mods and highilghted our faves and what you should try now. in the same way that LLMs had that evolution from specific -> foundation -> specific, CC is much more of a malleable, general purpose hardened harness that has "pretrained" on quadrillions of tokens of learning that you can now repurpose for any domain specific harness! thanks to @ricmac and @daniel_mac8 for working on our latest product dive. if you have stuff you'd like us to test and write up, we're open to chat at business@latent.space

highly recommend everyone to have private alt accounts*. the x web is bad at account switching, but on mobile it is frictionless. its basically the same "group chat but its ok if you dont read everything" experience but for your mutuals. tips - assume everything is public, screenshotting is real, dont be stupid. this is not the "i shit talk people behind their back", the right attitude is "this isnt high signal enough for my main account but i'm 1) taking notes for self, 2) have a throwaway thought, 3) i'm happy to chat about it" - give mutuals critical feedback that they might appreciate. "praise in public, criticise in private". because its not public, they know you actually do mean well - link/replyguy your alt for people to discover periodicially in case they dont know you have one * i like it so much that i call this the "insta/finsta" pattern - every social network should by default give people a public profile and a private one by default. tbd on the third account, the "botsta".