Or “How to recognize speech using common sense”.

I believe that language models aren’t world models. It’s a weak claim — I’m not saying they’re useless, or that we’re done milking them. It’s also a fuzzy-sounding claim — with its trillion weights, who can prove that there’s something an LLM isn’t a model of?

A great write-up on the “My AI Skeptic Friends Are All Nuts” article, with some really solid thinking on the linguistic & logical shenanigans in AI hype talk.

On the very likely outcomes of the impacts LLMs are having on software engineers and their craft.

Author shares his perspective on the impact of genAI in the field of software development.

Arguments against the use LLMs for homework.

Tool powered with generative AI for creating engaging slides for kids, on any topic.

Applications of [LLMs] have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit […]: the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions.

On using a Raspberry Pi, a stepper motor and AI to automatically drop hats from a window onto pedestrian’s heads.

An attempt to map the relationships and connections between generative AI technologies and human activities.

Donald Knuth commentary on his experimentation with Chat-GPT.

The author shares how he leveraged Chat-GPT to solve some of the CTF hacking challenges at BSides 2023.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

An explanation of text embeddings using visual representations.

A course by Andrej Karpathy on building neural networks, from scratch, in code.

Author documents how he went about building a 2.5D point-and-click style game using AI (Midjourney) to generate the game assets.

Gary Marcus expresses his concerns that current research on AI is no longer focused on building machines that solve problems in ways that have to do with human intelligence. But merely on using massive amounts of data – often derived from human behavior – as a substitute for intelligence.