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Debugging Lisp: fix and resume a program from any point in the stack - how Common Lisp stands out.4:46

Debugging Lisp: fix and resume a program from any point in the stack - how Common Lisp stands out.

5K views • 3 years ago
vindarel
A five-minute demo of the Common Lisp debugger fixing a bug, recompiling a single function, and resuming execution from the failed stack frame. It shows how to avoid re-running long computations.
"Programming a 144-computer chip to minimize power" - Chuck Moore (2013)40:13

"Programming a 144-computer chip to minimize power" - Chuck Moore (2013)

19K views • 5 years ago
Strange Loop Conference
Chuck Moore, inventor of Forth, presents GreenArrays' 144-core asynchronous chip at Strange Loop 2013. He explains how idle cores draw almost no power and how tight code minimizes energy use.
"Write a single library to handle all input devices, it'll be easy" they said...46:54

"Write a single library to handle all input devices, it'll be easy" they said...

21K views • 6 years ago
linux.conf.au
Peter Hutterer's linux.conf.au 2020 talk on creating libinput, the unified userspace input library, and the difficulties of handling the many quirks of input devices.
XDC 2020 - Day 1 - September 16, 20207:42:30

XDC 2020 - Day 1 - September 16, 2020

24K views • 6 years ago
X.Org Foundation
Day one of the X.Org Developer's Conference 2020 stream, including talks on the Raspberry Pi 4 Vulkan driver, the WSL graphics architecture, X11 and Wayland apps in WSL, and Mesa for D3D12.
Deep Dive into LLMs like ChatGPT3:31:24

Deep Dive into LLMs like ChatGPT

10.2M views • 1 year ago
Andrej Karpathy
Andrej Karpathy's three-hour-plus general-audience deep dive into how ChatGPT-style LLMs are built, covering the full training stack from pretraining to post-training. It also gives mental models for their quirks, like hallucination, and how to use them well.
[CVPR'21 WAD] Keynote - Andrej Karpathy, Tesla31:32

[CVPR'21 WAD] Keynote - Andrej Karpathy, Tesla

51K views • 5 years ago
WAD at CVPR
Andrej Karpathy, then Tesla's head of AI, gives a CVPR 2021 workshop keynote on how Autopilot's neural networks work. A large part covers the move to a vision-only stack, including why radar was dropped and how vision produces depth estimates.
Tesla AI Day 20223:23:00

Tesla AI Day 2022

2.3M views • 4 years ago
Tesla
Tesla's full AI Day 2022 presentation, covering the Tesla Bot hardware and software, Full Self-Driving planning and perception, the occupancy network, data labeling, simulation and Dojo training infrastructure.
Pieter Levels: Programming, Viral AI Startups, and Digital Nomad Life | Lex Fridman Podcast #4403:43:34

Pieter Levels: Programming, Viral AI Startups, and Digital Nomad Life | Lex Fridman Podcast #440

2.6M views • 2 years ago
Lex Fridman
A roughly 3.7-hour Lex Fridman podcast with Pieter Levels, the solo developer behind over 40 startups. They discuss programming, viral AI products, indie hacking and digital nomad life.
TSP #183 - Starlink Dish Phased Array Design, Architecture & RF In-depth Analysis33:43

TSP #183 - Starlink Dish Phased Array Design, Architecture & RF In-depth Analysis

171K views • 5 years ago
The Signal Path
The Signal Path takes apart a Starlink dish layer by layer, analyzing the phased array RF design, system architecture and integrated circuits, with an X-ray of the RF stack.
Containers and Steam: Putting games under pressure | FOSDEM 202020:11

Containers and Steam: Putting games under pressure | FOSDEM 2020

13K views • 6 years ago
Collabora
FOSDEM 2020 talk from Collabora on pressure-vessel, an experimental mechanism that puts Steam games in containers on Linux. It covers using namespaces to give games their own runtime library stack independent of the host.
Interview with Senior JS Developer 2024 [NEW]6:45

Interview with Senior JS Developer 2024 [NEW]

735K views • 2 years ago
Kai Lentit
A short parody sketch of a job interview with a senior JavaScript developer, poking fun at the JS ecosystem and trendy stacks.
Tesla AI Day 20213:03:20

Tesla AI Day 2021

2.6M views • 5 years ago
Tesla
Tesla's 2021 AI Day presentation covering vision, planning and control, auto-labeling, simulation, the Dojo training hardware and the Tesla Bot announcement, followed by a Q&A.
Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford18:12

Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford

311K views • 1 year ago
AI Engineer
Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.