The Dangerous Illusion of AI Coding? - Jeremy Howard

Описание: 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.

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Jeremy 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.

Key Topics and Main Insights Discussed:

The Origins of ULMFiT and Fine-Tuning
The Vibe Coding Illusion and Software Engineering
Cognitive Science, Friction, and Learning
The Future of Developers

RESCRIPT: https://app.rescript.info/public/shar...
https://app.rescript.info/api/public/...

Jeremy Howard:
https://x.com/jeremyphoward
https://www.answer.ai/

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TIMESTAMPS (fixed):
00:00:00 Introduction & GTC Sponsor
00:04:30 ULMFiT & The Birth of Fine-Tuning
00:12:00 Intuition & The Mechanics of Learning
00:18:30 Abstraction Hierarchies & AI Creativity
00:23:00 Claude Code & The Interpolation Illusion
00:27:30 Coding vs. Software Engineering
00:30:00 Cosplaying Intelligence: Dennett vs. Searle
00:36:30 Automation, Radiology & Desirable Difficulty
00:42:30 Organizational Knowledge & The Slope
00:48:00 Vibe Coding as a Slot Machine
00:54:00 The Erosion of Control in Software
01:01:00 Interactive Programming & REPL Environments
01:05:00 The Notebook Debate & Exploratory Science
01:17:30 AI Existential Risk & Power Centralization
01:24:20 Current Risks, Privacy & Enfeeblement

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REFERENCES:
Blog Post:
[00:03:00] fast.ai Blog: Self-Supervised Learning
https://www.fast.ai/posts/2020-01-13-...
[00:13:30] DeepMind Blog: Gemini Deep Think
https://deepmind.google/blog/accelera...
[00:19:30] Modular Blog: Claude C Compiler analysis
https://www.modular.com/blog/the-clau...
[00:19:45] Anthropic Engineering Blog: Building C Compiler
https://www.anthropic.com/engineering...
[00:48:00] Cursor Blog: Scaling Agents
https://cursor.com/blog/scaling-agents
[01:05:15] fast.ai Blog: NB Dev Merged Driver
https://www.fast.ai/posts/2022-08-25-...
[01:17:30] Jeremy Howard: Response to AI Risk Letter
https://www.normaltech.ai/p/is-avoidi...
Book:
[00:08:30] M. Chirimuuta: The Brain Abstracted
https://mitpress.mit.edu/978026254804...
[00:30:00] Daniel Dennett: Consciousness Explained
https://www.amazon.com/Consciousness-...
[00:42:30] Cesar Hidalgo: Infinite Alphabet / Laws of Knowledge
https://www.amazon.com/Infinite-Alpha...
Archive Article:
[00:13:45] MLST Archive: Why Creativity Cannot Be Interpolated
https://archive.mlst.ai/read/why-crea...
Research Study:
[00:24:30] METR Study: AI OS Development
https://metr.org/blog/2025-07-10-earl...
Paper:
[00:24:45] Fred Brooks: No Silver Bullet
https://www.cs.unc.edu/techreports/86...
[00:30:15] John Searle: Minds, Brains, and Programs
https://www.cambridge.org/core/journa...
Research Paper:
[00:13:50] Mathilde Caron et al.: Emerging Properties in Self-Supervised Vision Transformers (DINO)
https://arxiv.org/abs/2104.14294
[00:25:00] Oxford VGG: Sculptor Identification Paper
https://www.robots.ox.ac.uk/~vgg/publ...
[00:36:30] Anthropic Paper: AI Skill Formation
https://arxiv.org/pdf/2601.20245
Historical Reference:
[00:36:45] Ebbinghaus: Memory / Spaced Repetition
https://www.loc.gov/item/e11000616/
Technical Note:
[00:42:45] John Ousterhout: Slope vs Intercept
https://gist.github.com/gtallen1187/e...
Video:
[00:59:00] Bret Victor: Inventing on Principle
https://vimeo.com/906418692
[01:05:00] Joel Grus: I Don't Like Notebooks
   • I don't like notebooks.- Joel Grus (Allen ...