transformers

A short cartoon explaining how language models like ChatGPT work, from autocomplete and conditional probabilities to neural networks, gradient descent and backpropagation. It shows how networks act as universal function approximators.

Sentdex demonstrates GAN Theft Auto, a GameGAN-based neural network that recreates GTA V so the network itself is the playable environment. He shows the results and releases the code.

Corridor Digital makes a roughly seven-minute anime short using Stable Diffusion and related AI tools, based on a technique they teach in a longer tutorial. It was an early showcase of AI-assisted animation.

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.

Yannic Kilcher explains how he trained a language model on three years of 4chan's /pol/ board and let it post on the site. He evaluates how good the model was and discusses the ethics and fallout.

Tom Scott describes trying ChatGPT to fix his Gmail labels and being unsettled by how capable it was. He argues that we cannot know where we are on the technology curve, comparing it to Napster.

Kurzgesagt examines how AI-generated content is flooding the internet, from video and music to news and books. It looks at how this makes verifying what is real harder.

Bloomberg Technology interviews Google engineer Blake Lemoine about the experiments that led him to believe LaMDA was sentient and why he was placed on administrative leave. He also raises concerns about AI ethics at Google.

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.

Full episode of Sassy Justice, a satirical local-news show from the South Park creators starring a deepfaked consumer advocate, Fred Sassy. It uses face-swapped public figures to comment on the dangers of manipulated video.

Adobe's VoCo demo from the MAX 2016 Sneak Peeks, co-hosted by Jordan Peele, showing software that changes words in a voiceover by typing new ones.

Coffeezilla investigates the company behind the Rabbit R1 AI gadget, alleging a shady history as a crypto and NFT startup and questioning its large action model claims.

A 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.

Rob 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.

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.

Chubbyemu presents a case study of a man who followed AI health advice, replaced salt with sodium bromide and developed bromism with severe neurological effects. It is told as a dramatized medical case by a doctor.

Sunspring is a sci-fi short film starring Thomas Middleditch. Its screenplay was written by an LSTM neural network trained on sci-fi scripts, and the team shot and edited it in 48 hours.

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.

Computerphile video in which Mike Pound explains a University of Maryland paper on watermarking LLM output. The method biases token choices so generated text can later be detected statistically.

Episode 2 of Corridor Digital's Anime Rock, Paper, Scissors, a short film made with AI-assisted animation techniques such as Stable Diffusion and DreamBooth. The story follows King Philip facing his twin brother and a barbarian king.

A More Perfect Union report on xAI's data center in Memphis, which residents say burns gas without permits or pollution controls and harms their health.

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.

A Ray Summit 2022 keynote fireside chat between OpenAI's Greg Brockman and Anyscale's Robert Nishihara. They discuss how OpenAI's training infrastructure evolved and its use of Ray.

A short clip of the Google I/O 2018 demo in which Google Assistant's Duplex phones a salon and a restaurant to make appointments. The calls sound like a natural human conversation.

A DevOps YouTuber tests GitHub Copilot on a range of Leetcode problems and finds it solves most immediately, with a few needing tweaks and some far off. He concludes it would outperform him in a FAANG-style interview.

A step-by-step tutorial on making a Harry Potter by Balenciaga style AI video, using tools such as ChatGPT, Midjourney and Eleven Labs for script, images and voices.

Microsoft's March 2023 launch highlights for Microsoft 365 Copilot, showing AI features in Outlook, PowerPoint, Excel and OneNote. The demo includes using it to draft a graduation party speech.

A short demo of a GPT-powered Linux shell that guesses the bash command you meant and sometimes hallucinates absurd results. The creator stresses that it is real and should not be trusted.

A short demo video for NVIDIA's StyleGAN paper, which proposes a style-based generator for GANs. It shows face synthesis with style mixing and scale-specific control over attributes like pose and freckles.

The CVPR 2016 oral demo of Face2Face, a system that captures a person's face and reenacts another video's face in real time using only RGB video. The authors frame it as research on modern vision and graphics.

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.