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🚨 DEJA DE PERDER HORAS INTENTANDO DESCIFRAR CÓMO APRENDER CLAUDE Aquí te reuní un roadmap con 21 recursos para aprender Claude, sin pagar ni un curso. → Guías paso a paso, de cero a Claude Code → Cursos y documentación oficial de Anthropic → Repositorios de GitHub con skills listas para usar Lo difícil ya no es encontrar información sobre Claude. Es saber por dónde empezar. 🔖 Guárdalo para no perderlo Links en el primer comentario ↓

Introducing Higgsfield Miracle. Our latest proprietary post-production technology vectorizes any video into layers for localized, pixel-level editing in real time, with world knowledge built in. Every frame holds the image depth needed for cinema-grade post-production. Now in private beta with select testers. Coming soon to Higgsfield MCP. Set up Higgsfield MCP in Claude to be the first to try it.

I've built jevfight.com - fighting game where both players are controlled by Jev models! 🥊 Tell me your fighter name and I will attack you!

Give your agents their own iPhone and Mac. Al agents are smart enough to do almost anything, but they've been missing the one tool every human uses: A device. Introducing Glasshand. Glasshand lets your agent tap, type, and swipe on real iPhones and Macs, exactly like a human. That means it can: → Post TikToks → Book Uber rides → Send iMessages → Download any app it needs If a human can do it on a device, your agent can too. Rent an iPhone and a Mac for your agent at glasshand.com

Models are becoming smarter, faster, and cheaper, but the OCR industry hasn’t kept up. We’re launching r-1 mini: the first model to offer truly premium parsing without the premium pricing. At $1/1000 pages, r-1 mini beats options that cost up to 25x as much.

Can LLMs simulate biology? We tested frontier models on real lab experiments: predict how cells respond to drugs, gene knockdowns, and immune signals. Even the best get only part of the response right. Lots of room to improve. Introducing BioSimBench, built on @NVIDIAAI. 🧵

After Google acquired my AR startup, I started thinking about the next interface, this time for AI. Text and voice work fine, just like DOS did before the Mac. But nothing’s more intuitive than face to face. After two years of research, today we’re launching Atmee v2: a real-time avatar model that makes live video agents feel truly life-like. • Any character from 1 image + 10s of audio • Contextual expressions, gestures, even interacting with the environment • Live video calls, voice only, or video generation At its core, Atmee v2 is a video foundation model, it can render anything, but it’s built to excel at characters, which is what video models like Seedance 2.5 and Wan 3.0 are mostly used for. In comparison: Atmee v2 • Up to 50x faster • 10-100x cheaper Build tutors, sales coaches, support agents, companions, game characters, even whole living worlds. The interface after text and voice starts today.

We’re renaming our Max plans: Max 5x → Max Max 20x → Ultra Max is still $100/month, and Ultra is still $200. If you’re a subscriber, there’s nothing you need to do. We’re also removing the 5-hour limit for verified Ultra accounts, starting today with most existing subscribers. Newer accounts keep a temporary limit until they’re verified, which helps us prevent fraud and abuse. You'll get an email when it's removed. Weekly limits remain unchanged. View our plans here: claude.com/pricing

introducing Ad Studio. - powered by our new Krea 3 expert model for ads. - paste a link of your brand and get dozens of ads - full consistency with your brand and products. try it now for free 👇

Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise. #1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system. Check it out → cartesia.ai/blog/managed-age…

Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.

Introducing Phonic-1, the most advanced speech-to-speech model for agentic tasks — from @phonic_co, the speech-to-speech model company. We’ve had a breakout year and raised a $27.5M Series A led by @firstround with participation from @Lux_Capital, @felicis, and Definition.