basic training

Doug McGuff presents the biochemistry behind high-intensity strength training and the paleo diet, including how the body stores and burns fat. It is a roughly hour-and-a-half full-length lecture.

Rick Hartley gives a roughly two-hour live training on proper grounding in PCB design. He explains how energy actually flows in the space between conductors, and how that governs noise, EMI, return paths and signal reflections.

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.

The first episode of a long live-coding series in which Immo Landwerth builds the Minsk compiler for a small language in C#. It starts with a basic expression evaluator and builds toward a full language.

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'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.

Harvard Belfer Center lecture by Matthew Bunn explaining how nuclear bombs work, including fission and fusion weapons and which parts of bomb-making are hard. It is part 1 of 2 in the Nuclear 101 series.

Joe Rogan's long interview with Andrew Yang during his 2020 presidential run. They discuss universal basic income, automation and his policy proposals.

The first part of Freya Holmer's three-part, nearly four-hour lecture on shader coding for game devs in Unity. It covers what shaders are, vertex and fragment shaders, interpolators, data types, blending and textures.

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.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

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.

The first lesson of Martin Shkreli's introductory investing and finance course, running about two and a half hours. His related tutorials cover reading 10-K filings and building DCF models.

The first lecture of David Silver's reinforcement learning course, introducing the field and its basic concepts. The course follows the Sutton and Barto textbook.

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.

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.

Chess player John Bartholomew plays opponents rated below 1000 on Chess.com and comments on optimal strategy and typical mistakes at that level. It is part of his Climbing the Rating Ladder series.

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.

Leonard Susskind opens Stanford Continuing Studies' Theoretical Minimum series with an introduction to quantum mechanics, a course for people who want real physics rather than popularization. It assumes some calculus and linear algebra.

Andrew Huberman discusses ADHD, its biology and myths, behavioral and pharmacologic treatments, and training protocols to improve focus for people with or without ADHD. It covers dopamine and the coordination of brain networks.

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.

In this first Crust of Rust episode, Jon Gjengset live-codes an example that needs multiple explicit lifetime annotations. Along the way he covers string types and generics over a custom trait.

David Sanders gives the first part of a two-part introduction to the Julia programming language at SciPy 2014. It walks through the language's basics and its appeal for scientific computing.

Andrej Karpathy builds a bigram character-level language model from scratch, introducing torch.Tensor and the framework of training, sampling and loss evaluation. It is the first step toward a GPT-style Transformer in his makemore series.

Lesson 1 of fast.ai's Practical Deep Learning for Coders, taught by Jeremy Howard. It takes coders from running code in a Jupyter notebook straight into training a real image model.

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.

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.

A nearly four-hour video essay by hbomberguy on plagiarism on YouTube, centered on specific creators who copied other people's work. It examines what plagiarism is and how it went unaddressed.