Nao

Kling 3.0 Motion Control devient complètement fou. J’ai généré cette scène avec Pollo AI et le contrôle de mouvement est ultra précis. La caméra tourne autour du personnage comme dans un film. On entre clairement dans une nouvelle génération d’IA vidéo. Testez-le ici 👇

Les outils actuels sont devenus beaucoup trop complexes pour des tâches simples. si Renoise arrive vraiment à simplifier ça sans perdre en contrôle, ça peut changer pas mal de workflows

Plus d’interface, plus de timeline, juste parler… C’est exactement ce que beaucoup attendent depuis des années. maintenant la vraie question c’est la précision, parce que si ça comprend mal, ça devient vite frustrant

@ImagineArt_X @chatlyhq "produce 100x more” is bold… but if the workflow is clean, I can see it happening

Nano Banana Pro. Nano Banana 2. Claude. ImagineArt 1.5 Pro. Kling 3.0. The Better Together Deal Is Now Live. ImagineArt x @chatlyhq. Create faster. Think bigger. Produce 100x more. No limits. No switching tools. Just pure creativity. Start now.

Okay, @gdb is team CLI all the way. @garrytan thinks MCPs suck. So we hit the streets of SF to see if the city agreed. We posed a simple question: MCP or CLI? - Basically everyone under the age of 35 said CLI - One person said MCP was as bloated as Java - & unsurprisingly, numerous people told us to touch grass Final score- MCP: 3 vs CLI: 17 SF has spoken, and @composio listened. Our universal CLI is now live! Drop your best CLI vs MCP hot take in the comments and we'll send the best ones some very sick gear 👀 Link to try our CLI in the next thread ⬇️

@ImagineArt_X if the integration between both actually feels seamless, this could replace a big part of most creative stacks

You asked us to do a thing. And we got the Job done! ImagineArt and Chatly are now one. One subscription. One creative powerhouse. One AI workspace. Endless possibilities. imagine.art x chatlyai.app

Billions of $$ raised to generate images, and none of them let you actually edit what you get. You type a prompt, get something close, try to fix one thing, and the whole image regenerates. Now 50% of what was working is gone. So you prompt again. And again. Stuck in prompt doom loops, burning tokens every single time. The output is always a flat PNG, limiting what you can do with it. @world_lica actually reads your image and breaks it into structured, editable layers. You go in, change what you need to change, and everything else stays exactly where it was. Route each layer to the right model or a capable human. You don't need to regenerate from scratch or pay the token tax to fix a font color. Enterprises publishing creatives across site, social, and email are already using Lica to own their model and own their output. We're grateful to be supported by @Accel, @amasad, @snsf, @southpkcommons, @villageglobal, and @pirroh to build the editing layer that AI image gen has been missing. Want early access? Check the next thread below.

Le pire c’est que “last season trends” c’est la réalité… la plupart des petits business pensent être en avance alors qu’ils arrivent juste après tout le monde

Si accio realmente encuentra buenos proveedores y hace outreach que parece humano, es una locura de ventaja

@ImagineArt_X @chatlyhq ngl the idea of switching between everything in one click sounds way too good to be true

We're excited to announce that ImagineArt and @chatlyhq are now one. We've been working for months to solve the biggest problem creative teams face. Too many tools, too much noise, too little flow. So we brought it all under one roof. This is where creativity meets productivity.

Le plus fou c’est pas le $1… c’est le fait que ça tourne directement dans tes DMs si t’as pas besoin de setup, t’enlèves 90% de la friction d’un tool comme ça

Si esto funciona de verdad dentro de Telegram o Discord, cambia totalmente el hábito menos tiempo configurando cosas, más tiempo ejecutando

Is AI being designed to fail? Everyone talks about reasoning. But when given a task, the AI isn't reasoning the way you might expect. It looks at your input, finds the closest match it's seen before, and predicts the most likely next action. That process is called vector similarity search. It's genuinely powerful. It's also not the same thing as understanding what you actually meant. Think of a plumber who hears the word "leak" and starts pulling up floorboards before you've finished the sentence. He's not being careless. He's pattern-matching - that's exactly how he was trained. Your AI agent is doing the same thing. Context is the one thing that gets deprioritized when teams are racing to ship. But without it, you don't have an intelligent agent. You have a very fast guesser. Similarity ≠ relevance. How? Find out with the link in the comments ⬇️

J’ai l’impression qu’on réalise pas encore ce que ça implique… si tu peux sortir 50 créas en partant d’une seule image, le game des ads va devenir n’importe quoi

@NovaIAHQ Good prompt

BREAKING🚨 Claude can now build a personal finance system better than many $1,500 consultants. Here are 8 prompts to escape financial chaos and gain full control in under 30 days:

@Vieux_Rhone Mdrrr 200IQ le Claude

@NaoThread Tellement

On est clairement en train de passer d’outils qui cassent à chaque update… à une IA qui comprend vraiment ce qu’elle voit. Le gap est énorme.

@openart_ai @fanvue @ElevenLabs This could break the entire influencer model as we know it.

AI influencers are here. Characters you create can now build audiences, tell stories, and make money — without limits on appearance or resources. Today we’re launching AI Personality of the Year Awards 2026 with @fanvue and @ElevenLabs . 🏆 $90K+ prizes 🌍 Your global stage Learn more: aipersonality.ai