# Videos: more References

Canonical: https://machines-on-machines.anth.us/reference-lists/videos/untagged/c6c870c2370/

- [Edward Feigenbaum Oral History — Computer History Museum](https://www.youtube.com/watch?v=Pf1h15oLgG8)
- [SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning — USENIX 2025](https://www.youtube.com/watch?v=Z3WQodl1DrA)
- [What happens when our computers get smarter than we are? — Nick Bostrom](https://www.youtube.com/watch?v=MnT1xgZgkpk)
- [Understanding the Limitations of AI — Timnit Gebru at WiDS Stanford](https://www.youtube.com/watch?v=xGuZmOVfS64)
- [History, Motivation and Evolution of Deep Learning — Yann LeCun](https://www.youtube.com/watch?v=0bMe_vCZo30)
- [AlphaFold: Grand Challenge to Nobel Prize — John Jumper](https://www.youtube.com/watch?v=-pGs0btGmgY)
- [AI is solving science’s biggest problems — Claire Malone](https://www.youtube.com/watch?v=CBbLEOirHzI)
- [Accelerating Scientific Discovery with AI — Demis Hassabis](https://www.youtube.com/watch?v=hHooQmmzG4k)
- [Writing AI Constitutions: Joe Carlsmith at Yale Law School](https://www.youtube.com/watch?v=REVf0JnLK0U)
- [CodeX FutureLaw 2026: Building Legal AGI](https://www.youtube.com/watch?v=_5QqSREIJ7U)
- [CodeX FutureLaw 2026: Computational Law as a Blueprint for AI Reasoning](https://www.youtube.com/watch?v=I7Lq3klOyeg)
- [CodeX FutureLaw 2026: Dynamic Law for AI](https://www.youtube.com/watch?v=QpmNxO7orBs)
- [Deep Learning: Beyond the Hype](https://www.youtube.com/watch?v=yA-lJy52Ais)
- [Stanford CS329A: Planning and Multi-Step Reasoning](https://www.youtube.com/watch?v=Ml_fp9XkB8Y)
- [Amp: The Emperor Has No Clothes](https://www.youtube.com/watch?v=b4rOVZWLW6E)
- [Art Machines: Machine Learning and Art Panel 1, Gene Kogan and Memo Akten](https://www.youtube.com/watch?v=4J9i_AyS-gI)
- [AI for Testing: The Development of Bots that Play Battlefield V](https://www.youtube.com/watch?v=s1JOSbUR6KE)

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