basic training

Fedor Pikus's CppCon 2017 talk on C++ atomics, looking at what they let the programmer express and what the hardware actually does. It covers memory ordering and lock-free programming from basic to advanced.

Herb Sutter revisits basic C++ questions in light of C++11 and C++14: how to declare and initialize variables, pass values to functions, write loops, and use smart pointers. It covers auto, rvalue references, range-for, uniform initialization, lambdas, unique_ptr and shared_ptr.

Andrej Karpathy gives a one-hour general-audience introduction to large language models, covering what they are, how they are trained, comparisons to operating systems, and security challenges such as jailbreaks.

Andrej Karpathy walks through how GPT assistants are trained, from tokenization and pretraining to supervised finetuning and RLHF, and gives practical prompting strategies and a view of the tooling ecosystem.

Andrew Ng speaks at the Stanford MSx Future Forum about how AI is transforming industry after industry, comparing its impact to electricity. The talk also touches on evil-AI worries, jobs and basic income.

An 88-minute Microsoft Research talk that explains how quantum computers beat classical ones using basic linear algebra, qubits, superposition and gates. It works through the Deutsch oracle problem and ends with entanglement, teleportation and a live demo.

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.

Vlambeer's Jan Willem Nijman shows how to make an action game feel great by stacking small effects like screenshake, recoil and particles onto a basic shooter. It was presented at INDIGO Classes 2013.

Jon Kabat-Zinn leads an hour-long Google tech talk on mindfulness, introducing the basic ideas and including a guided meditation. It is aimed at newcomers.

Andrej Karpathy, then Tesla's head of AI, presents at ScaledML 2020 on how Tesla builds full self-driving using vision-based neural nets and fleet data collection. He covers training custom detectors and neural nets gradually replacing traditional code.

Greg Law's 15-minute CppCon 2015 lightning talk shows what GDB can do beyond basic use, including its text user interface and reverse debugging.

Valve's John McDonald presents at GDC 2018 on how Valve uses deep learning (VACnet) to detect cheaters in Counter-Strike: Global Offensive. He covers training on human-reviewed replays and how model output is confirmed by manual review.

Julia co-creator Stefan Karpinski explains why multiple dispatch makes Julia code and types reusable across packages with so little friction. He covers sharing basic types and sharing generic algorithms.

Zach Tellman's Clojure West talk covers the basics of queueing theory and its practical use in systems, including backpressure, how queues break down under load, and pitfalls of naive core.async use.

Cardiologist James O'Keefe argues in a TEDx talk that moderate running confers the best longevity benefits, while extreme endurance training can damage the heart. He draws on data and his own experience as a lifelong runner.

David MacKay's TEDxWarwick talk uses basic arithmetic to show how much land and energy renewables would need to power a country like the UK. It explains the limits of sustainable options and why they should still be pursued.

Scott Chacon introduces Git by showing what happens under the hood for basic commands: staging, committing, data storage, branching, merging and pushing. He contrasts it with Subversion and shows history viewing with log.

David Epstein argues in this TED talk that improving athletic records owe much to technology, training and the selection of specialized body types, not just humans getting inherently better. He gives counter-intuitive examples across sports.

Mario Zechner explains why he built pi, a minimal coding agent, out of frustration with existing agent harnesses. He also discusses how AI agents are straining open source projects and argues for slowing down.

Admiral William McRaven's 2014 University of Texas commencement address, built around lessons from Navy SEAL training. It famously opens with the case for making your bed every morning.

Richard Stallman's TEDxGeneva 2014 talk describing how nonfree programs give companies control over users and what users can do to regain control. It introduces the free software movement and the four freedoms.

Tom LaGatta's talk on category theory at a 2014 LispNYC meetup, covering objects, morphisms and the basic ideas in an informal, conversational style. It runs about 97 minutes.

Roman Mars gives a funny TED talk on vexillology, laying out five basic principles of good flag design and why many city flags fail them.

A short video of Robert F. Kennedy's 1968 speech criticizing Gross Domestic Product as a measure of progress, saying it counts everything except what makes life worthwhile.

Bill Dally of NVIDIA gives a Hot Chips 2023 keynote on the challenges of building hardware for deep learning. He traces how GPUs have been adapted for machine learning, especially training.

Sal Khan of Khan Academy argues that schools push students forward with gaps in their foundations, and that students should instead master concepts at their own pace. He compares it to building a house on an unfinished foundation.

Nina Paley's TEDxMaastricht talk arguing against copyright and for copyleft and free culture. She argues that restricting ideas harms creativity and that culture belongs to everyone.

Curtis Poe's FOSDEM talk arguing that day-to-day Perl 6 is far simpler than its enthusiasts' talk of exotic features suggests. He compares basic math and string handling across languages.

Andrej Karpathy's Databricks talk on Software 2.0, the shift from human-written code to code produced by neural network training. It covers how developer work moves toward curating datasets, the advantages and challenges, and opportunities for new tooling.

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.