stack overflow
4:46Debugging 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.
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.
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.
7:42:30XDC 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.
3:31:24Deep 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.
31:32[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.
3:23:00Tesla 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.
3:43:34Pieter 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.
33:43TSP #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.
20:11Containers 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.
6:45Interview 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.
3:03:20Tesla 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.
18:12Does 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.