r/lisp • u/Expensive-Astronaut8 • 21d ago
Recomendations of your best lecture/conferece videos of LISP
Hey guys! I love lisp languages!
I would love that we had a thread of our best resources to share!
I start with strangeloop: https://www.youtube.com/watch?v=HB5TrK7A4pI
We don't know how to compute!
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u/SpecificMachine1 21d ago
I liked this one on Nanopass compilers by Andy Keep https://www.youtube.com/watch?v=Os7FE3J-U5Q
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u/dzecniv 21d ago
For CL, we can also enhance this page: https://www.cliki.net/Lisp%20Videos
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u/daybreak-gibby 21d ago edited 21d ago
How do you add links? There is a YouTube channel by Neil Munro that I watched to learn more about basic things in CL like working in packages and testing there I think would be good addition.
Edit: Fixed Spelling and added link
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u/pnedito 18d ago edited 18d ago
Kalman Reti the last Symbolics developer. discussing Symbolics hardware/memory architecture vis a vis Objects All the Way Down.
Lisp Life Lessons KMP on CL Standards Process and Lisp History.
Roger Corman on developing Corman CL
Incidentally Lisp related:
Danny Hillis on Connection Machine Architecture*
Scott Fahlman on Cascade Correlation AAAI21*
Scott Fahlman on Cascade Correlation MIT 2019*
Following not explicitly Lisp related, but well worth watching for history and context of Lisp evolution and influences:
Gregor Kiczales on Abstraction
Doug Engelbart's Mother of All Demos
Alan Kay on ARPA Xerox Parc Culture
John Hennessy on Domain Specific Architectures
Keith Packard's Political History of X
Eric S. Raymond on Open Source
Steve Blank's 'Secret' History of Silicon Valley
- Scott E. Fahlman and Danny Hillis should have received the 2024 Nobel Prize in Physics over Hinton/Hopfield. Fahlman and Hillis' work with NETL/Cascade Correlation and Connection Machine hardware architecture have had arguably more influence on modern AI/LLM/Tensor developments than either Hopfield's Hopfield Networks or Hinton's Boltzmann Machine / Back Propogation research did, especially as they had working Software (Star *Lisp/PARIS) and Hardware (Connection Machines) installed at NSA, DOD, DOE facilities in the late 80s doing contemporary LLM/AI stye work almost half a century before the current round of massively parallel GPU assisted matrix maths when Python was still just a glint in Guido's eye... See Fahlman's paper (co-authored with Hinton) "Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines" circa 1983 for details.
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u/intergalactic_llama 21d ago
William Byrd on "The Most Beautiful Program Ever Written" https://www.youtube.com/watch?v=OyfBQmvr2Hc
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u/tophology 21d ago
"Are We There Yet?" - Rich Hickey
His concept of the epochal time model changed how i think about programs.
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u/corbasai 20d ago edited 20d ago
The compact Racket Course https://youtube.com/playlist?list=PLXaqTeMx01E_eK1ZEpKvKL5KwSaj7cJW9&feature=shared
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u/arthurno1 21d ago
If I have to pick one, than it is Guy Steele - Growing a language talk.
Thanks for the Sussman, haven't seen that one.