research

The final lecture of Richard Hamming's Learning to Learn course, from 1995, based on his well-known talk 'You and Your Research'. It covers how to do important work and build a career.

Richard Hamming's 1995 recording of his talk 'You and Your Research', drawn from his graduate engineering course. He discusses how great scientists pick important problems and build careers, drawing on his years at Bell Labs.

Andres Gomez Emilsson of the Qualia Research Institute presents a model of DMT experiences using hyperbolic geometry and dynamical systems theory. He describes how different intoxication levels correspond to changing curvature and information content of experience.

Sebastien Bubeck presents the Sparks of AGI paper at MIT, showing early experiments with GPT-4 across many domains and asking whether artificial intelligence has arrived. It includes the TikZ unicorn example.

Turing Award winner Michael Stonebraker gives the 2018 Donald B. Gillies Memorial Lecture at Illinois. He discusses the gap between academic research and industry problems, publishing incentives, and the influence of large industry users on research.

Stanford's Christopher Gardner presents his large, long comparison of four popular diets under real-world conditions, in which the lowest-carbohydrate Atkins diet came out on top.

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.

Robert Lustig of UCSF lectures on the biochemistry of sugar, arguing that fructose and lack of fiber drive the obesity epidemic via insulin. It is the widely viewed 90-minute talk that popularized the anti-sugar case.

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.

Dr. Roger Seheult of MedCram reviews the benefits of sunlight beyond vitamin D, covering the solar spectrum, circadian rhythm, melatonin and infrared light. The lecture runs nearly two hours with timestamps.

Cardiologist Dr. Pradip Jamnadas lectures on the rationale for dietary restriction and fasting, covering insulin resistance, glucose intolerance, and low-carb eating over about 81 minutes.

Robert Sapolsky's lecture on how the body's stress response, evolved for short-term physical emergencies, harms long-term health when triggered by psychological stressors. It was given as the inaugural Fenton-Rhodes Lecture.

Robert Lustig of UCSF updates his sugar talk, arguing that fructose and processed foods drive obesity and metabolic syndrome through their endocrine effects. It is a roughly 90-minute university lecture.

Andrej Karpathy builds the GPT tokenizer from scratch, implementing byte pair encoding along with encode and decode. He shows how many odd LLM behaviors trace back to tokenization, and covers Unicode byte encodings along the way.

Casey Muratori's 2005 video introducing immediate-mode GUIs as an alternative to retained widget toolkits. He explains the motivation and shows minimal-state button logic.

Leo Dirac explains how transformer models have replaced LSTMs in NLP. He gives background from bag of words through RNNs and LSTMs, then a technical deep dive into multi-headed self-attention and positional encoding, with sample code.

A lecture by Prof. Thomas Seyfried arguing that cancer is primarily a metabolic disease rather than a genetic one. It covers the Warburg effect, mitochondrial damage and implications for therapies.

Segment co-founder and CEO Peter Reinhardt recounts how his company found product-market fit, including how a product grew out of a small feature of another. It is a lecture from Stanford's Startup School course.

A Ninja Nerd whiteboard lecture on the Moderna, Pfizer/BioNTech and AstraZeneca COVID-19 vaccines. It covers how each works, the preclinical and phase I-III trial process, and Operation Warp Speed.

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.

Dr. Russell Barkley explains how different ADHD medications work and how they differ from one another, in a short clip.

The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.

Dr. Jason Fung lectures on why obesity became an epidemic since the 1970s, arguing insulin and hormones rather than calories drive weight gain. He explains why calorie counting fails and touches on low-carb eating and fasting.

Sasha Rush surveys linear RNNs and state space models as replacements for attention in transformer-style models, in a talk for MLSys. It covers the foundational preliminaries and predates Mamba.

Clayton Christensen explains the jobs-to-be-done idea in five minutes, using the fast-food milkshake example. The point is that understanding the job a product is hired to do makes it easier to improve.

Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.

Rhonda Patrick of FoundMyFitness makes a case for isothiocyanates such as sulforaphane from cruciferous vegetables and broccoli sprouts. It covers cancer, aging, heart disease, brain and behavior, and neurodegeneration, with chapter timestamps.

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.

Y Combinator CEO Michael Seibel lectures at Startup School on building a product people want: identifying the problem, the customer, an MVP and which customers to pursue first.

A university lecture from CS480/680 by Pascal Poupart on attention mechanisms and transformer networks, worked through on a chalkboard.

John Gustafson presents posits, a proposed drop-in replacement for IEEE 754 floats that is simpler in hardware and more flexible in precision. The seminar includes a live demo and machine learning results.

Y Combinator partner Pete Koomen, who led Optimizely to $100M ARR, walks through the enterprise sales funnel. Chapters cover prospecting, outreach, qualification, pricing, closing, procurement and implementation.

Psychologist Irving Kirsch gives a distinguished lecture on antidepressant trials and the placebo effect. He argues drug-placebo differences are small outside severe depression.

Sacha Arnoud, Waymo's Director of Engineering, gives a lecture in MIT's 2018 deep learning for self-driving cars course on the rise of machine learning in autonomous vehicles. It covers how Waymo uses deep learning and how it handles tricky driving situations.

A 1990 lecture by James Gosling on NeWS, Sun's networked window system in which clients send PostScript programs to the server for execution. It covers the high-level imaging model and compares NeWS with similar systems.

Dr. Michael Greger gives a live presentation on evidence-based weight loss, previewing his book How Not to Diet. He focuses on foods that aid weight loss while also supporting health and longevity.

MedCram's Dr. Roger Seheult summarizes a discussion with Dr. Michael Mina on cheap, paper-based at-home COVID-19 antigen tests. It explains why lower sensitivity can still work well for screening infectious people.

Bill 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.

A pulmonologist and critical care physician explains how COVID-19 can lead to pneumonia and acute respiratory distress syndrome. He covers evidence-based ARDS treatments such as low tidal volume ventilation.

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.