
𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤
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𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤
@AulasInteligent
Inteligencia Artificial aplicada en todo tipo de entornos. Dos docentes diferentes con un mismo destino: Juan Luis & Guillermo. Opina el de en medio.





Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵




JUST IN: X to soon add "dislike" button



There's a hidden tax on every knowledge worker in the world, and nobody talks about it: The design tax. You're a strategist, a sales lead, a marketer. You were hired for what you know. But every meeting, every pitch, every proposal expects you to show up with something that looks like a designer made it. I lived this. Before Gamma, I spent time in consulting and investment banking. I spent more hours formatting slides than the analysis that went into them. When my cofounders and I started Gamma, we asked: what if you never had to be a designer in the first place? Five years and nearly 100 million users later, we've refunded billions of hours of the design tax. Today, we're eliminating it for good with our biggest launch ever. Gamma Imagine — a powerful, AI-native visual creation tool directly in Gamma. Posters, logos, infographics, visuals from a single prompt. On brand, every time. AI-Native Templates. Templates were supposed to save you from design work. Instead you spent the time filling them in. So we completely rebuilt the template experience. Modify a whole deck with a single prompt, with your brand and style intact every time. Gamma Connectors. You're already thinking in ChatGPT and Claude. Now Gamma sits inside the most popular work apps in the world. No more context-switching. You were hired for your ideas, not to resize text boxes. Let Gamma pay the design tax.





¿Conoces @GammaApp ? Hasta ahora era una herramienta imprescindible para hacer presentaciones y webs estáticas, sencillas. Con la nueva actualización #Imagine se pueden hacer todo tipo de recursos como gráficos, infografías, póster...¡pruébalo gratis ya en su web!





Unlike our earlier work, which found that AI assistance can undermine learning by substituting for productive struggle (see pnas.org/doi/10.1073/pn… and papers.ssrn.com/sol3/papers.cf…), this system was designed to *create* productive struggle by matching students to problems of appropriate difficulty, thereby creating positive results. Principled design of the AI tutor is crucial for effective learning. Paper: papers.ssrn.com/sol3/papers.cf… This work was led by @AngelTHChung , and joint work with Botong Zhang, Ling-Chieh Kung, & @obastani . We are grateful for generous funding from @WhartonAIAI , Mack Institute, @Amazon Research, the Taipei City Government, and the American Institute in Taiwan.



Today we’re announcing X-Cell — Xaira’s first step toward a virtual cell. 🧬 A foundation model that predicts how gene expression changes under causal perturbations — across cell types, conditions, and even unseen biology. This is not trained on observational atlases. It is trained on interventions. 🧵👇

After months of work, today I’m releasing Foundation-1. A SOTA text-to-sample model built specifically for music production workflows. It may also be the most advanced AI sample generator currently available - open or closed. • ~7 GB VRAM • Entirely local • 100% free 😁

Holy shit...Someone built an AI system that takes a research idea and outputs a full academic paper. Real citations. Real experiments. Conference-ready LaTeX. Zero human input. It's called AutoResearchClaw. And the pipeline is insane. Here's what actually happens when you type one command: It searches arXiv and Semantic Scholar for real papers. Not fake citations actual literature with 4-layer verification: arXiv ID check, CrossRef DOI lookup, Semantic Scholar title match, and LLM relevance scoring. Hallucinated references get killed automatically. Then it designs and runs real experiments. Hardware-aware auto-detects whether you have NVIDIA CUDA, Apple MPS, or just CPU, and adapts the code accordingly. When experiments fail, it self-heals. When results don't support the hypothesis, it pivots to a new direction on its own. Then it writes the paper. 5,000-6,500 words. Section by section. Multi-agent peer review with methodology-evidence consistency checks. Then it revises based on those reviews. Then it outputs conference-ready LaTeX. NeurIPS, ICML, ICLR templates. Compile-ready for Overleaf. BibTeX references auto-pruned to match inline citations. The whole thing runs across 23 stages and 8 phases. Three human-approval gates if you want them. Or just pass --auto-approve and walk away. What you get back: → Full academic paper draft → Conference-ready LaTeX + BibTeX → Experiment code + sandbox results + charts → Peer review notes → Verification report on every citation This is what autonomous scientific research actually looks like in 2026. 100% Opensource. MIT License. Link in comments.

Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds



Today, we're taking Manus out of the cloud and putting it on your desktop. Introducing My Computer, the core feature of the new Manus Desktop app. It’s your AI agent, now on your local machine.


Investigación sobre IA y Formación Profesional Nuestro estudio bibliométrico (2014–2023) analiza cómo la Inteligencia Artificial está transformando la educación vocacional mediante aprendizaje personalizado, automatización y mejora curricular. 🔗 doi.org/10.1016/j.ssah…


¡Algunas cosas parecen increíbles para ser ciertas! Paul Cunningham usó @ChatGPTapp para salvar a su perra Rosie de un cáncer terminal. Usando IA, analizó el ADN del tumor y diseñó una vacuna de ARNm personalizada que redujo el cáncer en un 75%. Un ejemplo de cómo esta tecnología puede cambiarlo todo.