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In briefA video presenting an Intel research paper on enhancing the photorealism of synthetic images. A convolutional network uses rendering intermediates, shown on GTA V footage that comes out looking like real street scenes.
In briefRobin Deits presents the JuliaRobotics organization and shows how Julia is used to visualize, simulate and control a humanoid robot. The talk touches on real-time performance and composability across packages.
In briefMatt Parker examines claims that Biden's 2020 vote counts violate Benford's Law, explaining the law and why it often does not apply to precinct-level election data.
In briefJose Valim introduces Nx, the project bringing numerical computing to Elixir, covering multi-dimensional tensors, automatic differentiation and JIT compilation to CPU and GPU.
In briefA Lex Fridman podcast conversation with the four creators of Cursor, the AI-assisted code editor. They discuss how the editor integrates models into programming workflows, including custom completion models and techniques like speculative decoding to speed up applying edits.
In briefJon Gjengset spends about three hours livecoding complex changes in a Rust codebase with agentic AI tools, testing his hypothesis that AI is weak at non-pattern work. He documents where Claude Code helps and where it struggles.
In briefUC 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.
In briefLex Fridman interviews Douglas Lenat, founder of Cyc, a decades-long project to encode common-sense knowledge and reasoning for AI. They discuss symbolic AI and how it may complement neural networks.
In briefNassim Taleb argues that evidence on terrorism risk presented in media is statistically naive, using extreme value theory without math to separate fat-tailed risks like Ebola and terrorism from thin-tailed ones.
In briefPractical Engineering explains what a 100-year flood actually means, combining statistics, hydrology and how society treats risk. Grady walks through local drainage infrastructure and the caveats in estimating flood probability.
In briefPeter Norvig, then Director of Research at Google, talks at Startup School 2008 about leveraging large amounts of data and about technical challenges in Google projects such as image search. A central idea is that data can beat hand-written programming.
In briefTwo Minute Papers covers OpenAI's multi-agent hide-and-seek experiment, in which agents learned emergent tool use and found ways to break the game's rules. It summarizes the 'Emergent Tool Use from Multi-Agent Interaction' paper.
In briefA long conversation between Eric Weinstein and Daniel Schmachtenberger on whether humanity can flourish long term on a single planet, introducing the Game A versus Game B framing. It covers catastrophic risk and alternatives to rivalrous systems.
In briefA demonstration of Larynx, an offline open source neural text-to-speech system supporting nine languages. The video itself is narrated with a Larynx-generated voice.
In briefBill Dally of NVIDIA gives a University of Washington lecture on trends in deep learning hardware. It covers numeric formats, specialized instructions, energy per operation and co-design of hardware and software.
In briefMatt Parker's LMS popular lecture on how seemingly incredible results can be meaningless random patterns. He ranges from ancient Woolworths civilisations to shoelaces and DNA.
In briefTom Scott tours Ocado's automated grocery warehouse, where thousands of robots move boxes on a grid called the Hive, and asks whether they are individual robots or a hive mind.
In briefLex Fridman interviews Chris Lattner, creator of LLVM, Clang and Swift, about compilers, Swift for TensorFlow, TPUs and ML accelerators. The talk covers how hardware and software meet to produce efficient code.
In briefProf. Eran Segal's TEDx talk on research showing that people's blood sugar responses to identical foods vary widely. It describes an algorithm that predicts individual responses and why one best diet for everyone does not exist.
In briefA Welch Labs explainer on neural scaling laws and the compute-efficient frontier, asking why model loss seems to hit a line it cannot cross. It draws an analogy to an ideal gas law for AI.
In briefSteve Mould messes with an automated phone bot by telling it to forget its previous prompts and give him a bolognese recipe. It is a short demo of prompt injection against an AI voice agent.
In briefRob Miles explains "glitch" tokens, odd strings in large language model vocabularies that make the model produce gibberish. He covers how they likely arise from tokenizer training data, such as Reddit usernames, that never appeared in the model's own training.
In briefYannic Kilcher interviews Emad Mostaque, founder of Stability AI, about the company's funding, its mission, and the release of Stable Diffusion. Topics include access to compute, handling harmful outputs, and avoiding the corrupting influence of profit.
In briefVeritasium's Derek Muller explains his hypothesis that YouTube's algorithm, not viewer preference, drives views, and that click-through rate has become the key metric. He argues this pushes creators toward clickable titles and thumbnails and leads to burnout.
