spider intelligence

A BBC Earth clip from The Hunt showing Portia jumping spiders, which leap many times their body length and ambush prey larger than themselves.

Steve Hsu's 2011 Google Tech Talk reviews psychometric measurement of intelligence and the heritability of adult IQ, then discusses genome-wide association studies seeking the genes behind cognitive ability.

Lex Fridman interviews Marcus Hutter of DeepMind about universal artificial intelligence, AIXI, Kolmogorov complexity, Solomonoff induction and the idea of intelligence as compression.

A short spoof of a nature documentary shows spiders building webs after being given various drugs. It is an early internet comedy classic.

Jeff Vogel of Spiderweb Software gives a GDC 2018 retrospective on surviving as an indie game maker since 1994, from shareware days through Steam. It covers business realities, costs and sustaining a comfortable living without chasing riches.

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.

GDC 2019 session where Insomniac's David Santiago describes the procedural systems used to build Manhattan for Marvel's Spider-Man. It covers the open-world pipeline and how each system was designed to support iteration and dependencies.

A clip of psychologist Jordan Peterson lecturing on intelligence and IQ, covering how it is defined and its correlation with academic and work success.

Lex Fridman interviews Jeff Hawkins, founder of Numenta and author of On Intelligence, about the Thousand Brains Theory and reverse-engineering the neocortex. They also cover Hierarchical Temporal Memory and brain-inspired AI architectures.

The full 1973 BBC Lighthill debate on artificial intelligence, featuring James Lighthill, Donald Michie, Richard Gregory and John McCarthy. It documents the argument that preceded the 1970s AI winter and includes early robot demos.

The Thought Emporium shows how they engineered a yeast strain to produce real spider silk, after more than two years of lab work and many failures. The video explains the genetic engineering process behind it.

A short 2019 clip of Chuck Schumer's January 2017 warning to Trump that the intelligence community has many ways of getting back at him.

A one-minute clip of a crow repeatedly sliding down a snowy roof on a small lid, apparently just for fun.

A Jordan Peterson university lecture on the Big Five trait openness to experience, covering creativity and intelligence. It explains how IQ is measured, how well it predicts life success, and the Pareto distribution of creative output.

Developmental and synthetic biologist Michael Levin speaks at a Harvard Extension student event on bioelectricity, body intelligence and regenerative medicine. He discusses how cell electrical networks guide growth and form.

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 excerpt of Richard Feynman's 1985 lecture Q&A about whether machines can think. He discusses the difficulty of defining what computers can never do and compares machine intelligence to machines that don't copy animals.

A panel from the Beneficial AI 2017 conference moderated by Max Tegmark, with Elon Musk, Stuart Russell, Kurzweil, Hassabis, Harris, Bostrom, Chalmers and others. They discuss likely outcomes of human-level AGI and what outcomes are desirable.

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.

Veritasium takes an IQ test and examines what IQ measures, its history including military use and eugenics, its controversies, and how it correlates with life outcomes. Experts including Cecil Reynolds and Stuart Ritchie contribute.

John Searle's Talk at Google on consciousness and artificial intelligence, hosted by Google's Singularity Network. He presents his philosophy of mind and Chinese room argument that computation is syntactic and cannot capture semantics.

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.

A 2007 Google Tech Talk introducing Polyworld, an artificial life simulator used to evolve artificial intelligence by designing worlds rather than minds. It presents results from ongoing attempts to evolve intelligent behavior.

A three-minute excerpt from Kubrick's 2001: A Space Odyssey in which the HAL 9000 computer refuses to open the pod bay doors. It is the famous malfunctioning-AI scene.

A feature-length documentary on how the City of London and Britain's overseas territories built a global web of offshore secrecy jurisdictions after the empire declined. It traces how this network captured and hid wealth from around the world.

A 2018 lecture, with subtitles available, by former Finnish intelligence colonel Martti J. Kari on Russian strategic culture. He walks through the historical layers of Russia and explains why the country behaves as it does.

Joel Grus's JupyterCon talk explaining why he dislikes Jupyter notebooks. He covers hidden state, trouble with reproducibility and testing, and how notebooks frustrate teaching. He shows his preferred workflow and what Jupyter could change.

Lex Fridman has a three-hour conversation with Joscha Bach about artificial consciousness, the workings of the mind, intelligence and the possibly simulated nature of reality.

Robert Miles asks whether corporations can be thought of as artificial general superintelligences and how far the analogy holds. He argues the differences, such as being limited by employees' capabilities, matter for AI safety.

Sandy Pentland of MIT presents his book on social physics, which uses big-data studies of how people interact to explain how ideas spread. He describes findings on collective intelligence and social influence.

A long Team House podcast interview with James Lawler, a former CIA operations officer who led counterproliferation work against the A.Q. Khan nuclear network. He discusses HUMINT, WMD and how such operations were run.

A short smartphone-recorded clip from a 2014 event in Paris where DeepMind CEO Demis Hassabis presents an AI learning to play old Atari games. The system learns from only the video signal and the score. Audio quality is poor.

A silent PLOS ONE video of New Caledonian crows solving Aesop's Fable puzzles by dropping objects to raise water and reach food. It shows example trials from experiments testing causal understanding of water displacement.

Joscha Bach's 31c3 talk argues that the mind should be understood as an information-processing system and that even the physical universe can be seen as computational. It tours the philosophy underlying artificial intelligence and cognitive science.

A BBC Earth clip from Inside the Animal Mind in which a crow named 007 solves an eight-step puzzle to get a reward. It showcases crow problem-solving.

A Munk Debate on the proposition that AI research and development poses an existential threat. Yoshua Bengio and Max Tegmark argue for it, and Melanie Mitchell and Yann LeCun argue against.

A 42-minute CBS interview with Geoffrey Hinton at the Vector Institute in 2023, covering the history of neural networks and the present and future of AI. He discusses AGI timelines and whether language models truly understand.

A speculative-fiction video by Tom Scott, framed as coming from a future, about an AI called Earworm that enforces copyright so aggressively that humanity ends up forgetting a century of pop culture. It is animated and narrated as part of his series of videos from a future.

Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.

Isaac Arthur explains the Matrioshka Brain, a hypothetical computer or artificial mind powered by an entire star using nested shells. It covers how such megastructures relate to Dyson spheres and superintelligence.