Artificial Intelligence (AI) • ChatGPT

Your creative team's biggest problem isn't talent. It's scale. One hero asset → hundreds of variants → every channel → all on-brand. Air Canvas just solved the problem agencies charge $50K to fix. x.com/airhq/status/2…

This is not a toy. It’s not a demo. It’s the base you can build on. The most downloaded open-source video model that can understand more than one kind of input is now a real API you can use in production. Stop borrowing someone else’s interface. Build your own. ltx.io/model #LTX23 #AIVideo #LTXAPI

5. Better prompt understanding The text connector got a big upgrade. Now, when you write a detailed prompt, it listens and follows it. It can understand camera angles, which way things move, and how the scene should look. LTX-2.3 does what you ask instead of just kind of guessing.

The AI video era just split in two: tools for hobbyists and engines for builders. LTX-2.3 API is firmly in the second category. No GPU. No infrastructure. Just build. Just the most downloaded open-source multimodal video engine served at scale. Here's everything that changed: 🧵

LTX-2 became the most downloaded open-source video model because Lightricks shipped something people could actually use—not just a showcase. LTX-2.3 is the result of 22B parameters paired with real-world feedback from creators. Try it here: ltx.studio

All the major closed video generators (Sora, Veo, Kling) share the same tradeoff: - Your files get uploaded off-device - Your IP passes through someone else’s infrastructure - Your production pipeline is tied to their availability LTX-2.3 Desktop runs entirely on your own GPU, locally. Turn off Wi‑Fi. Launch the app. Generate 1080p video. That’s the advantage nobody else can match right now.

🚨 BREAKING: The #1 open-source video model just got a massive upgrade. LTX-2.3 ( @ltx_model ) ships with native portrait mode, sharper textures, and actual I2V motion (not fake camera pans). 22B parameters. Apache 2.0 license. Runs on your GPU. Here's what just changed ↓

@amitisinvesting @sama “No domestic mass surveillance” doesn’t rule out foreign surveillance

@sama If the same terms you guys got were the exact same terms Anthropic were asking for (no mass surveillance and autonomous weapons) then why didn’t they sign with Anthropic?

Tonight, we reached an agreement with the Department of War to deploy our models in their classified network. In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome. AI safety and wide distribution of benefits are the core of our mission. Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement. We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements. We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.

This is why Emergent is scaling like crazy. 6M+ builders across 190+ countries. 7M+ apps already shipped. They even doubled from $50M to $100M ARR in 30 days. But the real story isn’t revenue. It’s accessibility. Try it out here: expo.dev/go

By the time I got home, I had a working product. Not a wireframe. Not a mockup. An actual functional app.

We built an app in the back of a cab yesterday. No laptop. No dev team. Just... a phone? Let us explain