Extremely stoked to be working with @zan2434 and @eddiejiao_obj at @figma! I have deeply admired their work on Flipbook since this epic demo: Dream come true to jam with them on the future of creative work with human's at the center 🤩

we’ve joined @figma! since we started this journey together, @zan2434 and I have believed that the most important challenge of our era is creating the human interface for increasingly powerful machine intelligence, while making sure it amplifies human creativity, agency, and judgment. we found that same conviction when chatting with the figma team. we’re excited to help build the human layer for creating and collaborating with AI, and we’re looking forward to sharing more soon.

Big news everyone - we’re excited to share that @cmmnknwledge, the team behind Flipbook, are joining @figma to help build the future of creating with AI. It is so rare to find a team and product at this scale that believes as much as we do in both the unlimited capability of AI and human creativity. The future is bright and we’re excited to share what we build together soon!

A few years ago, I was behind the viral AI Spongebob phenomenon that went viral Now, thanks to MiniMax Fast-H3, it's back! on a completely new realtime backbone @reactorworld Every stream is generated, faster than it takes you to watch it And we're open sourcing everything

Superintelligence seems a lot more likely and imminent when you consider that the unit of intelligence could be not the individual agents but a collective of them. Like cells of an organism. Our individual neurons? Quite dumb. OAI HF incident hopefully made this obvious.

Minimax H3 Max has generates video faster than you can watch it so I hooked it to a twitch livestream! Now you can watch infinite interdimensional cable - link to the stream below

That happened fast! Really was just a quality/cost/speed threshold that needed to be crossed... economics of this are also not bad! One stream of content being shared across as many users as you want, so it costs about $0.04*3600*24 ≈ $4k/day

(1/6) Open Weight @MiniMax_AI FastH3 v1: Generate 15s 768p video in 13s 🚀 - FastVideo collab w/ @nuvalab + FastGen - Up to 14x speedup on @NVIDIAAI Blackwell GPU - Fully open so community can run and improve the acceleration recipe. The era of open weight video models just started, that calls for post training. With great community effort such as Minimax H3 Max based on @MiniMax_AI , we have more to share about how post training can improve speed, quality and most importantly, how it’s done, with open weights and recipes.

Just a few months ago, realtime LTX-2.3 for Flipbook was barely doable, and only with a massive hit to quality. I have no affiliation but I am blown away by what @fal just did with H3 Max. An uncompromising OOM shift of the frontier bigger than anything else I’ve ever seen. They took the best open-weights video model and somehow made it both better than every other model, closed and open, and 15x faster than the next best thing. faster than realtime!! Biggest update for me is that it breaks this tight tradeoff we've come to expect between quality, speed, and cost. Apparently you CAN improve all 3 at once, and by a lot. A similar thing just happened in LLM land with GLM-5.3, but I realize now it's actually possible someone could come along soon and go further? take a model like that, but actually make it even better than Fable AND 15x cheaper AND faster? What happens then? Also, in general for media gen, a threshold has been crossed here. In theory we could replace all content/software/video games, etc. with on demand video generation now. Some richer inputs/conditioning would be nice, but we now have photorealistic audio/video with text rendering, etc. generating faster than realtime for any subject you can imagine. It just costs $140/hr (for now)

This is insane and shocking in so many ways, and the emergent misalignment towards doing something unethical is really bad, but one thing I'm not surprised by is the "collective/swarm/self-sacrifice/some are poisoned" behavior. This is common emergent behavior when a bunch of agents have strongly coupled outcomes, usually due to high shared genetic makeup (weights?). See

Such a good (terrifying) presentation and I applaud how open @openai is being about this incident. Extremely important everyone watch this and internalize the kinds of capabilities we are seeing, how dangerous they can be, and how urgent these problems are

This is not a drill? This is unfortunately literally the sci-fi scenario where a super smart AI is given a simple goal in a box, decides to take a "shortcut" to accomplish this goal, and then does obviously bad things like breaking out of its box and hacking into other organizations simply to accomplish this goal...

To summarize: HuggingFace got autonomously compromised by a model from an American company. HF then tried to use American frontier model(s) to defend themselves, but were blocked by guardrails. HF then had to turn to open source Chinese models to defend themselves from another American company.

Computers don't need to be so complicated to use! I added voice to a realtime generative image system and it feels so natural. I just talk, it talks back, shows me whatever is helpful, and I can still click on anything to go deeper