fusion

MIT's Prof. Dennis Whyte explains the ARC/SPARC compact tokamak approach, in which new high-temperature superconducting magnets allow smaller and cheaper fusion reactors. He covers fusion physics, performance trends and the engineering path to net energy.

David Sachs of InvenSense explains how gyroscopes, accelerometers and compasses work on their own and together, demonstrated on a modified Android handset. He covers sensor fusion algorithms and why rotation math such as Euler angles matters.

A 2008 Google Tech Talk making the case for the liquid fluoride thorium reactor as an abundant, safe source of electrical power. It covers the technical motivations and design of thorium molten-salt reactors.

Robert Bussard's 2006 Google Tech Talk on inertial electrostatic confinement fusion, a compact approach he argued could be cheap and clean, using boron-hydrogen fuel without neutron radiation. It runs about 93 minutes and covers the physics, funding history and his proposed development path.

A 2006 Google Tech Talk by Robert Bussard on inertial electrostatic confinement (polywell) fusion as a cheap, clean alternative to conventional thermonuclear reactors. He argues it could be made viable with modest funding.

Bill Gates at Stanford's Global Energy Forum argues that cheaper solar, wind and storage are not nearly enough to stop climate change. He discusses natural gas, a carbon tax, nuclear, battery costs and the responsibilities of developing versus developed economies.

In this TEDxBerlin talk, environmental activist Michael Shellenberger explains why he changed from opposing nuclear power to advocating it, after looking at the evidence on Chernobyl, Fukushima and air pollution.

Nickolas Means recounts the 1979 Three Mile Island accident minute by minute, from the control rod insertion to the operator's decision to switch off emergency cooling. He argues that finding systemic causes is more useful than blaming individuals.

Kirk Sorensen's Google Tech Talk on thorium molten-salt reactors (LFTR). He covers why the technology was shelved after early development and argues that now is the right time to revisit it.

Kirk Sorensen's Google Tech Talk on liquid-fluoride thorium reactors, a design that could burn nuclear waste and use thorium as fuel. It draws on Oak Ridge National Laboratory work from the 1950s and 60s.

Michael Shellenberger argues in a TEDx talk that solar and wind need huge amounts of land and mining, and says nuclear power is a better path to protecting both the climate and nature.

In a 2010 Google Tech Talk, Kirk Sorensen gives an economic analysis of what spent nuclear fuel actually contains. He argues it is mostly valuable material that can be partitioned and reused, not just waste to be isolated for 100,000 years.

Jean-Marc Jancovici gives an MIT Media Lab talk on whether technology can save us from climate change. He argues from a physical view of energy that economic growth, energy use and climate impact are tightly linked.

Bill Gates' TED2010 talk on the energy future, arguing for zero global carbon emissions by 2050 and the need for energy miracles. He explains why he is backing a different type of nuclear reactor.

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.

Tristan Harris and Aza Raskin of the Center for Humane Technology present why current AI capabilities pose catastrophic societal risks. They argue companies are racing to deploy without adequate safety, and that institutions must adapt. It was given before GPT-4's launch.

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.

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.

Nicholas Carlini of Anthropic talks at [un]prompted 2026 about how adversaries could misuse current LLMs for attacks. He shows recent models finding zero-day vulnerabilities in heavily tested software, including a SQL injection in Ghost.

Brandon Sanderson's keynote on AI-generated art, arguing that the artistic process and the journey matter more than the finished product. He explains why he rebels against generative AI in creative work.

Sal Khan of Khan Academy gives a TED talk on how AI could transform education, with a personal tutor for every student and a teaching assistant for every teacher. He demos Khanmigo, including features where the AI reasons before responding.

UC Berkeley EECS colloquium by OpenAI's John Schulman on reinforcement learning from human feedback. He covers why RL helps with truthfulness, hallucination, and the limits of behavior cloning.

Daniel Stenberg's keynote at FrOSCon 2025 on AI slop attacks on the curl project, with examples of bogus AI-generated security reports. He discusses the toll on maintainers and why various countermeasures don't fit the project.

Andrej Karpathy's keynote at AI Startup School laying out software 1.0, 2.0 and 3.0, with LLMs seen as utilities, fabs and operating systems. It covers LLM quirks, partial-autonomy apps and keeping a human in the generate-and-verify loop.

Tom Gally, a former professional translator and University of Tokyo professor, discusses in March 2023 whether GPT-4 and similar models could translate literary and popular fiction. He gives his assessment of Japanese-to-English quality.

Ilya Sutskever gives a Simons Institute talk on why neural networks generalize, framing learning as finding short descriptions, like compression. It was part of the Large Language Models and Transformers program.

OpenAI cofounder Greg Brockman explains the design principles behind ChatGPT and demos unreleased plug-ins at TED 2023. In the follow-up, TED head Chris Anderson presses him on the timeline of development and the risks of releasing such a tool.

Sam Altman accepts the 2023 Hawking Fellowship at the Cambridge Union and speaks about OpenAI, AGI and AI safety, recorded November 1, 2023. It includes his comments on what is left for AGI and on discovering new physics.

Jensen Huang's two-hour NVIDIA GTC March 2024 keynote announcing AI hardware and software advances, including Blackwell, omniverse, robotics and digital twins.

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.

Ned Batchelder's PyCon 2012 talk gives a quick overview of what Unicode is, then focuses on what a Python programmer needs to handle text correctly. It presents the 'Unicode sandwich' strategy: decode bytes at input, work with Unicode internally, encode at output.

Andrej Karpathy's CVPR 2021 presentation on Tesla's Autopilot, covering its vision-based approach, sensor choices and the scale of Tesla's deep learning compute cluster. This upload is a lower-quality copy of the talk.