Joined October 2022
El Mediterráneo está ardiendo. Y no es una metáfora. Arriba — temperatura del agua (14 ago). Prácticamente todo el mar está en tonos rojos: 28-30 °C generalizados y unos impresionantes 31-32 °C en amplias zonas del Mediterráneo occidental, Tirreno y Mediterráneo central. Abajo — categoría de ola de calor marina (13 ago). Aquí está lo grave. No es solo que el agua esté caliente: está muchísimo por encima de lo normal para estas fechas. 🟧 Fuerte (II) 🟥 Severa (III) ⬛ Extrema (IV) El Mediterráneo occidental —Baleares, golfo de León, mar de Liguria, Tirreno— aparece cubierto de rojo oscuro y negro: olas de calor marinas de categoría severa y extrema. La cuenca entera está en alerta. En los últimos años hemos demostrado con varios estudios cómo un mar cálido es capaz de dar un potencial más destructivo a las tormentas que se forman en esta época del final del verano/principios del otoño. Un mar de 30-32 °C en agosto ya no es una anomalía puntual. Es el patrón que se está repitiendo verano tras verano. El Mediterráneo se está convirtiendo en otro mar.
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Jmudar retweeted
This is crazy Claude + Unreal Engine MCP creating 3D building from a single prompt 🤯
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She literally explained why some people never feel lazy and how to copy them (in 2 mins)
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Jmudar retweeted
In 2014, Peter Thiel gave a 1-hour masterclass on how to build a monopoly from scratch. He broke down how: • Google became untouchable • PayPal beat the odds • Facebook crushed competition Here are 11 timeless lessons from his masterclass: 1. Create value, then capture it
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Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: lnkd.in/dMqbaZdK 2. LLMs from Scratch: lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i 4. Building and Evaluating Agents: lnkd.in/dBWd2W8u 5. Building Effective Agents: lnkd.in/dHfdebqw 6. Building Agents with MCP: lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: lnkd.in/da3ANw3w 8. Philo Agents: lnkd.in/dq-BfZE5 🗂️ Repos 1. GenAI Agents: lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: lnkd.in/dxaVF86w 5. AI Agents for Beginners: lnkd.in/dHvTmJnv 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: lnkd.in/d2dMACMj 8. Hands-On AI Engineering:lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY 12. LLM Course: lnkd.in/diZgGACG 🗺️ Guides 1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN 2. Google's Agent Companion: lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4. 4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK 📚Books: 1. Understanding Deep Learning: lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5 6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ 7. AI Engineering: lnkd.in/gi-mQcXa 📜 Papers 1. ReAct: lnkd.in/gRBH3ZRq 2. Generative Agents: lnkd.in/gsDCUsWm. 3. Toolformer: lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD. 🧑🏫 Courses: 1. HuggingFace's Agent Course: lnkd.in/gmTftTXV 2. MCP with Anthropic: lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2 5. Agent Memory: lnkd.in/gNFpC542 Repost for your network ♻️
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I’m beyond thrilled to share that our work on using deep learning to compute excited states of molecules is out today in @ScienceMagazine! This is the first time that deep learning has accurately solved some of the hardest problems in quantum physics. science.org/doi/abs/10.1126/…
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Escudos 'antihackers' y normas vinculadas a la IA: el top de 2025 en Economía Digital en los despachos. La regulación de los derechos humanos en el entorno digital empieza a verse en un área en la que 8 de cada 10 bufetes prevén aumentar su facturación dozz.es/fto1z1
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🔴 ¡Nuevo CANVAS en CHATGPT! Hoy OpenAI ha seguido la estela de los artifacts de Anthropic añadiendo esta mejora de UIX tan útil que permite editar documentos o código en una ventana en paralelo al chat. Además también añaden shortcuts para aplicar modificaciones al texto 👍
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Ahora en NotebookLM podéis usar como fuentes videos de YouTube y archivos de audio! Ahora cuando terminéis de ver un vídeo mío podréis pedirle a la IA que os lo explique mejor 😅
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Google’s NotebookLM is crazy good. My mind is blown by the accuracy of the summary, the human voices, the banter, and the conversation. 🤯🤯 I gave it an 1,814 page CFPB Examination and Supervision Manual - one of the most boring topics for most. It consumed those 1,800+ pages (imagine the context window size) and spit out a great conversation in a few mins. I can’t distinguish it from a real podcast, it actually is than the ones out there. I can’t imagine what the next 12 months will bring us.
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Had an absolute blast participating in @runwayml #Gen48 @MasonStormAI and I collaborated to bring you this fun story about a mischievous creator, his niece protégé, and a time-shifted realm as our selections! I'm pleased to present our submission: Temporal Trouble
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Less than 48 hours ago, OpenAI released the o1 model, and creativity is off the charts. 10 wild ways people are using it:
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Jmudar retweeted
We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond. These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. openai.com/index/introducing…
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🔴 ¡ADOBE presenta FIREFLY VIDEO! Ya lo habían anticipado hace meses y hoy nos avanzan lo que será la tecnología de generación vídeos de Adobe. Se podrá usar dentro de su suite de herramientas Firefly y también estará implementado dentro de Premiere.
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Jmudar retweeted
The Role of Small Language Models in the LLM Era Something a lot of AI researchers and devs wonder about is how can small language models (SLMs) be used. This paper address this question in a systematic way by closely examining the relationship between LLMs and SLMs. Common applications of SLMs include data curation, training stronger models, efficient inference, evaluators, retrievers, and much more. Include great insights for practitioners to better understand the value of these SLMs.
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Introducing 𝚅𝚒𝚎𝚠𝙲𝚛𝚊𝚏𝚝𝚎𝚛 🥳. 𝚅𝚒𝚎𝚠𝙲𝚛𝚊𝚏𝚝𝚎𝚛 can generate high-fidelity novel views from single or sparse input images with accurate camera pose control! ✨Paper: arxiv.org/abs/2409.02048 🎯Code: github.com/Drexubery/ViewCra… 🥁Demo: huggingface.co/spaces/Doubii…
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