ai vs human

GeoGuessr pro Rainbolt plays head-to-head against an AI built by Stanford students that guesses locations from street-view images. The video shows the AI repeatedly beating him.

Short clip of Honda's ASIMO humanoid robot falling down stairs during a live demonstration.

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.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

A three-hour Lex Fridman podcast conversation with AI researcher Eliezer Yudkowsky about the dangers of superintelligent AI and his argument that it could end human civilization. It covers AI alignment, why he thinks LLM capabilities are poorly understood, and the case for extreme caution.

Dwarkesh Patel interviews OpenAI chief scientist Ilya Sutskever on time to AGI, what comes after generative models, data limits, alignment, and competing with Google. The title centers on whether next-token prediction could surpass human intelligence.

Andreas Antonopoulos explains how to tell Bitcoin-style blockchains from corporate blockchain hype. He argues the goal should be de-banking everyone rather than banking the unbanked.

Jack Gallant's lab demonstrates reconstructing movie trailer clips a subject watched from fMRI brain activity, using regression models trained on hours of viewing data. The video shows the original clip beside the reconstruction.

Berkeley neuroscientist Jack Gallant shows how fMRI brain mapping can be used to decode what a person sees, with visualizations of brain activity and its implications.

A short Unitree promo for its G1 humanoid robot, priced from $16K, showing agile motion, dexterous hands and imitation and reinforcement learning.

Robert Miles explains the orthogonality thesis: how an agent can be highly intelligent while pursuing goals that seem stupid or alien to humans. He separates intelligence from goals and touches on the stamp-collector example.

Robert Miles explains reward modelling, in which an AI learns what humans want from their preference comparisons instead of a hand-written reward function. He walks through the 2017 paper on deep reinforcement learning from human preferences.

A short clip of the Snowbird, a human-powered ornithopter built by University of Toronto students. On August 2, 2010 it sustained altitude and airspeed for 19.3 seconds, the first such flight.

Marques Brownlee reviews the Humane AI Pin and calls it the worst product he has reviewed, arguing almost no one should buy it. He explains why smartphones still beat it as a daily carry device.

Demis Hassabis of DeepMind speaks at Google Zeitgeist, saying human-level AI is decades away but the debate should start now. He covers DeepMind's focus on game-playing agents.

A short pre-recorded talk by Rich Sutton for the World AI Conference in Shanghai arguing that succession from humanity to AI is inevitable. He lays out his view of that transition.

A short status-update demo from Figure showing its humanoid robot using OpenAI-powered speech-to-speech reasoning to converse and perform tasks.

A one-minute clip from the film Elysium in which Matt Damon's character is stuck with an automated AI parole officer and gets asked whether he would like to talk to a human.

Robert Miles explains instrumental convergence: why an AGI with almost any goal would tend to pursue sub-goals like self-preservation and resource acquisition. It builds on Omohundro's basic AI drives and his orthogonality thesis video.

Robert Miles gives a remastered introduction to AI safety, adapted from a talk in London. It lays out why advanced AI could go wrong and answers common objections.

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.

Robert Miles examines whether the case for AI safety is a Pascal's mugging, a tiny probability of an enormous payoff. He argues it is not, because AI risk does not depend on vanishingly small probabilities.

DHH's opening keynote at Rails World 2024 in Toronto, where Rails 8 beta shipped. It covers built-in authentication, Propshaft, Solid Cache, Solid Queue, Solid Cable, Kamal 2 and Thruster, pitching the One Person Framework that needs no PaaS.

Simon Knowles, co-founder and CTO of Graphcore, talks about "intelligence processors", chips designed specifically for machine learning. The talk was given at the RAAIS 2017 summit and covers Graphcore's architecture.

Robert Miles introduces the first of several videos on the paper 'Concrete Problems in AI Safety', focusing on how AI systems can cause accidental negative side effects. It explains the problem in accessible terms.

Robert Miles goes through ten common reasons people give for dismissing AI safety, adapted from Stuart Russell's list, and answers each one. It is aimed at skeptics and newcomers.

Jon Stewart on The Daily Show satirizes the AI industry's promises of a better future while it builds technology to replace workers. It mocks executives and AI hype.

Technology Connections explains that the so-called EV charger in an electric car's charging cable or wall unit is really an EVSE, a smart switch that safely delivers AC power. The actual charger is inside the car. The video covers the safety signaling and mechanisms involved.

Polylog explains how algorithms can be turned into circuits and encoded as satisfiability problems, which lets you effectively run them backwards. It uses this to motivate breaking RSA, general reductions to SAT, and what P vs NP is really asking.

Soren Johnson, a lead designer and AI programmer on Civilization games, discusses game AI design, including whether AI should cheat, behave like a human or be fun rather than strong. He uses the Civilization series as a case study.

The final codec conversation from Metal Gear Solid 2, in which the AI 'Colonel' explains that the Patriots filter out junk information and curate truth for humanity. It plays as a dark meditation on information overload, manipulation and shared reality.

Esther Gokhale's short TEDx talk argues that the natural human spine is curved rather than straight and teaches a 'primal posture' for sitting without back pain.

A Motherboard documentary episode from Nebraska about farmers and mechanics fighting manufacturers like John Deere over access to the diagnostic software needed to repair modern tractors. It shows how software locks have taken away farmers' traditional self-reliance.

Sam Harris argues in a TED talk that we will build superhuman AI and have not grappled with the risk of creating something that may treat us the way we treat ants. He makes a logical case for taking AI risk seriously.

Musician Benn Jordan uses AI to detect AI-generated music and digs into music industry data, including streaming payouts and sample library copyright problems. He covers ways to tell whether a track is human-made.

Peter Sripol shows his homemade Part 103 electric airplane flying, built from hobby brushless motors and batteries. The video covers the first flight out of ground effect.

A one-minute clip from Ricky Gervais's 2018 Netflix special in which he riffs on people getting offended by internet commentary, framed as 'guitar lessons' in humanity. It is a short stand-up excerpt.

A kiai master offers a 5000 dollar challenge that he can beat any MMA fighter, and his supposed energy techniques have no effect on the fighter.

A roughly five-hour Lex Fridman podcast episode with Anthropic CEO Dario Amodei, plus Amanda Askell on Claude's character and Chris Olah on mechanistic interpretability. It covers Claude, AGI and the future of AI.

A Vsauce video exploring whether chairs exist, through metaphysics, mereology and the philosophy of categorizing objects. It runs about 38 minutes and cites academic work on ontology.