transformers

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.

Freya Holmer delivers a long critique of generative AI, arguing it degrades the internet by flooding it with machine-generated junk. The video grew out of her frustration finding reliable information about a technical file format.

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.

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.

Physicist Angela Collier critiques 'vibe physics', the idea that non-experts or billionaires can make scientific discoveries by chatting with AI chatbots, drawing a parallel with vibe coding.

Tom Gally, a former professional translator and University of Tokyo professor, discusses in April 2023 how GPT-4 and similar models may affect translators' careers. He draws on Japanese-English translation experience.

A Y Combinator video on vibe coding, the term Andrej Karpathy coined for letting LLMs write code. It reports what YC founders say about debugging, models and how much of their code is AI-written.

Internet of Bugs analyzes Cognition's Devin demo frame by frame, arguing the video did not show Devin completing paid Upwork jobs as claimed, and showing what the task required versus what Devin produced.