[{"@context":"https:\/\/schema.org\/","@type":"BlogPosting","@id":"https:\/\/blog.terabox.com\/insights\/jeremy-howard-ia-futuro-programacion#BlogPosting","mainEntityOfPage":"https:\/\/blog.terabox.com\/insights\/jeremy-howard-ia-futuro-programacion","headline":"Jeremy Howard: IA, ULMFiT y el futuro de la programaci\u00f3n","name":"Jeremy Howard: IA, ULMFiT y el futuro de la programaci\u00f3n","description":"\ud83d\udcfa V\u00eddeo de estudio recomendado hoy: https:\/\/www.youtube.com\/watch?v=dHBEQ-Ryo24 La trampa de la productividad: Por qu\u00e9 la IA podr\u00eda estar atrofiando tu carreraEl legado de ULMFiT y el arte del Fine-TuningLa ilusi\u00f3n del control y el peligro del “Vibe Coding”El camino de... ","datePublished":"2026-06-23","dateModified":"2026-06-23","author":{"@type":"Person","@id":"https:\/\/blog.terabox.com\/author\/flextech-admin\/#Person","name":"flextech-admin","url":"https:\/\/blog.terabox.com\/author\/flextech-admin\/","image":{"@type":"ImageObject","@id":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&d=mm&r=gforcedefault=1","url":"https:\/\/secure.gravatar.com\/avatar\/ad516503a11cd5ca435acc9bb6523536?s=150&d=mm&r=gforcedefault=1","height":96,"width":96}},"publisher":{"@type":"Organization","name":"terabox","logo":{"@type":"ImageObject","@id":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","url":"http:\/\/blog.terabox.com\/wp-content\/uploads\/2021\/11\/logo\u4ea7\u54c1\u540d-\u7ad6\u7248.png","width":900,"height":900}},"image":{"@type":"ImageObject","@id":"https:\/\/img.youtube.com\/vi\/dHBEQ-Ryo24\/maxresdefault.jpg","url":"https:\/\/img.youtube.com\/vi\/dHBEQ-Ryo24\/maxresdefault.jpg","height":"","width":""},"url":"https:\/\/blog.terabox.com\/insights\/jeremy-howard-ia-futuro-programacion","video":{"@context":"http:\/\/schema.org\/","@type":"VideoObject","@id":"https:\/\/www.youtube.com\/watch?v=dHBEQ-Ryo24#VideoObject","contentUrl":"https:\/\/www.youtube.com\/watch?v=dHBEQ-Ryo24","name":"The Dangerous Illusion of AI Coding? - Jeremy Howard","description":"Dive into the realities of AI-assisted coding, the origins of modern fine-tuning, and the cognitive science behind machine learning with fast.ai founder Jeremy Howard. In this episode, we unpack why AI might be turning software engineering into a slot machine and how to maintain true technical intuition in the age of large language models.\n\nGTC is coming, the premier AI conference, great opportunity to learn about AI. NVIDIA and partners will showcase breakthroughs in physical AI, AI factories, agentic AI, and inference, exploring the next wave of AI innovation for developers and researchers. Register for virtual GTC for free, using my link and win NVIDIA DGX Spark (https:\/\/nvda.ws\/4qQ0LMg)\n\nJeremy Howard is a renowned data scientist, researcher, entrepreneur, and educator. As the co-founder of fast.ai, former President of Kaggle, and the creator of ULMFiT, Jeremy has spent decades democratizing deep learning. His pioneering work laid the foundation for modern transfer learning and the pre-training and fine-tuning paradigm that powers today's language models.\n\nKey Topics and Main Insights Discussed:\n\n- The Origins of ULMFiT and Fine-Tuning\n- The Vibe Coding Illusion and Software Engineering\n- Cognitive Science, Friction, and Learning\n- The Future of Developers\n\nRESCRIPT: https:\/\/app.rescript.info\/public\/share\/BhX5zP3b0m63srLOQDKBTFTooSzEMh_ARwmDG_h_izk\nhttps:\/\/app.rescript.info\/api\/public\/sessions\/62d06c0336c567d6\/pdf\n\nJeremy Howard:\nhttps:\/\/x.com\/jeremyphoward\nhttps:\/\/www.answer.ai\/\n\n---\nTIMESTAMPS (fixed):\n00:00:00 Introduction & GTC Sponsor\n00:04:30 ULMFiT & The Birth of Fine-Tuning\n00:12:00 Intuition & The Mechanics of Learning\n00:18:30 Abstraction Hierarchies & AI Creativity\n00:23:00 Claude Code & The Interpolation Illusion\n00:27:30 Coding vs. Software Engineering\n00:30:00 Cosplaying Intelligence: Dennett vs. Searle\n00:36:30 Automation, Radiology & Desirable Difficulty\n00:42:30 Organizational Knowledge & The Slope\n00:48:00 Vibe Coding as a Slot Machine\n00:54:00 The Erosion of Control in Software\n01:01:00 Interactive Programming & REPL Environments\n01:05:00 The Notebook Debate & Exploratory Science\n01:17:30 AI Existential Risk & Power Centralization\n01:24:20 Current Risks, Privacy & Enfeeblement\n\n---\nREFERENCES:\nBlog Post:\n[00:03:00] fast.ai Blog: Self-Supervised Learning\nhttps:\/\/www.fast.ai\/posts\/2020-01-13-self_supervised.html\n[00:13:30] DeepMind Blog: Gemini Deep Think\nhttps:\/\/deepmind.google\/blog\/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-think\/\n[00:19:30] Modular Blog: Claude C Compiler analysis\nhttps:\/\/www.modular.com\/blog\/the-claude-c-compiler-what-it-reveals-about-the-future-of-software\n[00:19:45] Anthropic Engineering Blog: Building C Compiler\nhttps:\/\/www.anthropic.com\/engineering\/building-c-compiler\n[00:48:00] Cursor Blog: Scaling Agents\nhttps:\/\/cursor.com\/blog\/scaling-agents\n[01:05:15] fast.ai Blog: NB Dev Merged Driver\nhttps:\/\/www.fast.ai\/posts\/2022-08-25-jupyter-git.html\n[01:17:30] Jeremy Howard: Response to AI Risk Letter\nhttps:\/\/www.normaltech.ai\/p\/is-avoiding-extinction-from-ai-really\nBook:\n[00:08:30] M. Chirimuuta: The Brain Abstracted\nhttps:\/\/mitpress.mit.edu\/9780262548045\/the-brain-abstracted\/\n[00:30:00] Daniel Dennett: Consciousness Explained\nhttps:\/\/www.amazon.com\/Consciousness-Explained-Daniel-C-Dennett\/dp\/0316180661\n[00:42:30] Cesar Hidalgo: Infinite Alphabet \/ Laws of Knowledge\nhttps:\/\/www.amazon.com\/Infinite-Alphabet-Laws-Knowledge\/dp\/0241655676\nArchive Article:\n[00:13:45] MLST Archive: Why Creativity Cannot Be Interpolated\nhttps:\/\/archive.mlst.ai\/read\/why-creativity-cannot-be-interpolated\nResearch Study:\n[00:24:30] METR Study: AI OS Development\nhttps:\/\/metr.org\/blog\/2025-07-10-early-2025-ai-experienced-os-dev-study\/\nPaper:\n[00:24:45] Fred Brooks: No Silver Bullet\nhttps:\/\/www.cs.unc.edu\/techreports\/86-020.pdf\n[00:30:15] John Searle: Minds, Brains, and Programs\nhttps:\/\/www.cambridge.org\/core\/journals\/behavioral-and-brain-sciences\/article\/minds-brains-and-programs\/DC644B47A4299C637C89772FACC2706A\nResearch Paper:\n[00:13:50] Mathilde Caron et al.: Emerging Properties in Self-Supervised Vision Transformers (DINO)\nhttps:\/\/arxiv.org\/abs\/2104.14294\n[00:25:00] Oxford VGG: Sculptor Identification Paper\nhttps:\/\/www.robots.ox.ac.uk\/~vgg\/publications\/2012\/Arandjelovic12a\/arandjelovic12a.pdf\n[00:36:30] Anthropic Paper: AI Skill Formation\nhttps:\/\/arxiv.org\/pdf\/2601.20245\nHistorical Reference:\n[00:36:45] Ebbinghaus: Memory \/ Spaced Repetition\nhttps:\/\/www.loc.gov\/item\/e11000616\/\nTechnical Note:\n[00:42:45] John Ousterhout: Slope vs Intercept\nhttps:\/\/gist.github.com\/gtallen1187\/e83ed02eac6cc8d7e185\nVideo:\n[00:59:00] Bret Victor: Inventing on Principle\nhttps:\/\/vimeo.com\/906418692\n[01:05:00] Joel Grus: I Don't Like Notebooks\nhttps:\/\/www.youtube.com\/watch?v=7jiPeIFXb6U","thumbnailUrl":["https:\/\/i.ytimg.com\/vi\/dHBEQ-Ryo24\/default.jpg","https:\/\/i.ytimg.com\/vi\/dHBEQ-Ryo24\/mqdefault.jpg","https:\/\/i.ytimg.com\/vi\/dHBEQ-Ryo24\/hqdefault.jpg","https:\/\/i.ytimg.com\/vi\/dHBEQ-Ryo24\/sddefault.jpg","https:\/\/i.ytimg.com\/vi\/dHBEQ-Ryo24\/maxresdefault.jpg"],"uploadDate":"2026-03-03T14:50:11+00:00","duration":"PT1H26M40S","embedUrl":"https:\/\/www.youtube.com\/embed\/dHBEQ-Ryo24","publisher":{"@type":"Organization","@id":"https:\/\/www.youtube.com\/channel\/UCMLtBahI5DMrt0NPvDSoIRQ#Organization","url":"https:\/\/www.youtube.com\/channel\/UCMLtBahI5DMrt0NPvDSoIRQ","name":"Machine Learning Street Talk","description":"MLST is the leading highly technical AI podcast. 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