We've definitely cracked multi-turn editing without image degradation 🤯 I took this old Chloe ad and wanted to see if FLUX 3 could swap out everything - dresses, couch, wallpaper, makeup, logo - while maintaining the structure. Nine turns later and no artifacts!

Ideogram's new image edit model is insanely good. To test it, I took this Olipop ad and asked for a series of precise edits - like a creative team exploring variations or localizing content. Incredible to see how it handles multi-turn changes without warping and artifacts 🤯

Huge congrats to @drfeifei, @jcjohnss, @BenMildenhall, @martin_casado, and the entire World Labs team 🎉 They’ve been truly building the frontier of spatial intelligence with exceptional models. As a bonus, it’s hard to imagine a nicer or more thoughtful group of people 🫶

I don’t normally write these things. But this one hits a bit different. Nearly three years ago I told a16z I wanted to spend part time outside the firm helping @drfeifei start and build a frontier model company. And what followed were some of the most remarkable moments of my career. From being at the founding table. To watching the first git commits. Seeing the very early very rough results that hinted at something much greater. Contributing to the open source. Watching the creation of new model architectures that pushed the state of the art in multiple areas. I saw the team spin magic from nothing again and again. And I was very privileged to be within the walls. I’m very proud of what was accomplished, and am so excited for what lies ahead. So congratulations to AMD for entering into an agreement with the leading spatial intelligence frontier lab. And congratulations to the World Labs team on a partner that has the vision, ambition and leadership to be the top AI technology provider globally. Also congratulations to Dr. Su and Dr. Li. Two world class CEOs with a common vision. The both of you working together is unimaginably legendary. Arguably the smartest leaders in tech with the shared goal of building the world's leading AI capabilities. I know you both share an optimistic view of AIs ability to aid humanity. We need far more of that. As everyone knows. I’m World Lab’s biggest fan. And will remain so. Thanks to @drfeifei , @BenMildenhall , @jcjohnss and the entire team for letting me tag along. What a crazy fucking ride. You stood at the frontier, and moved it. And will continue to. Again, many congratulations to everyone involved. The future of AI will be so much brighter with this partnership. I can’t wait to see where it leads. Here’s to new worlds!

LLMs have gotten incredibly smart. So why haven’t they automated more human tasks? @CompleteSkeptic argues we already have the intelligence we need - but current models aren't built to function as reliable components inside software. Rewarding responses that humans like (RLHF) doesn’t necessarily lead to getting tasks done. Love this clip from the @a16z podcast!

TypeSafe AI's Diogo Almeida with a16z's Ben Horowitz and Martin Casado on Jev, the model built to live inside software: Diogo's elevator pitch for Jev is a simple question - where is all the automation? AI is unbelievably smart, but outside of chatbots and coding agents, it hardly touches any real work. His diagnosis is the industry built models that generate text for humans to read, and software can't consume that output. Jev reads natural language and returns a choice from a set of options with a confidence level assigned to each, so developers can build programs that reason about intent and make probabilistic decisions rather than relying on human interpretation. TypeSafe's philosophy is "We build prod, not God." 0:50 "Where the f**k is all the automation?" 2:50 Jev vs. Claude Code and Codex 6:55 Jev is a classifier and classifiers are sick 7:40 Chat vs. code: is Jev a slider? 9:00 Diogo: From mathlete to Kaggle to OpenAI 12:20 "We build prod, not God" 15:55 Reliability over demos 16:55 2021 thoughts: RLHF is AGI? 20:45 Optimizing for the wrong use case 21:50 Is the real world too messy to automate? 25:00 Nobody expected the Jev launch 26:35 Three kinds of reliability 28:05 Good at syntax, bad at architecture 30:00 The inverse SaaSpocalypse 33:40 Why coding agents automate so little 36:05 Probabilistic programming returns 38:45 Jev as the UDP-to-TCP layer for AI 40:20 The 5 stages of grief for embedding AI 41:30 Utopia: AI that actually does what you mean YouTube: @CompleteSkeptic @typesafeai @bhorowitz @martin_casado

Truly blown away by the results from Eleven v4. This model has a new architecture that unlocks more realistic and controllable speech. You can now direct the performance of the character AND the soundscape around them. And the voice effects (like "cheap microphone") are 👌

Asked Opus 5.5 for a video on data centers. The result is beyond what I could've imagined 🤯 Insane what models can do with a reference video and permission to pull or generate any footage they want.

Asked Opus 5.5 for a video on data centers. The result is beyond what I could've imagined 🤯 Insane what models can do with a reference video and permission to pull or generate any footage they want.

So many incredible parts of the Slutcon discourse. My favorite may be the framing of "we're just helping shy men learn how to flirt 🥺👉👈" Meanwhile, the actual agenda: