Learn AI in Bits

This week's AI News Sunday Wrap-Up covers a week where the industry moved on several fronts at once: new flagship and open models, enterprise agent governance, a serious safety warning, legal pressure, and the physical...

Meta's Muse story is moving fast, and this episode takes a closer look at Muse Spark, the multimodal reasoning model family behind Meta's push into AI agents, including yesterday's release of an open-weight version for...

When an AI model answers slowly, the problem usually isn't its intelligence — it's how the serving system moves data through a GPU. This episode goes one level below the basic inference loop covered in an earlier...

A hidden recording device was found behind a television in an OpenAI executive conference room, concealed in toilet paper and plugged into a USB port, leading to an FBI arrest and federal charges. This episode follows...

When you type a question into an AI assistant and watch the answer appear word by word, what's happening underneath is inference: the process of running a trained model to produce that answer. This episode follows one...

If you already know your job well, AI raises a new question: which parts of your work could you do better, faster, or at a larger scale with an assistant that reads, writes, analyzes, searches, and sometimes acts? This...

After drawing attention earlier in October for using AI to build open-source alternatives to seven Adobe applications in Rust, developer Brandon Thomas and the ArtCraft project have moved into Microsoft Office territory...

This week's AI News Sunday Wrap-Up covers a reminder that AI agents can now take actions, not just give answers, and what happens when those actions go wrong. On Friday, Anthropic disclosed that its Claude Haiku 4.5...

What if the hardest part of building software stopped being writing the software? This episode covers ArtCraft, a project from developer Brandon Thomas that has released open-source, clean-room alternatives to seven...

How does an AI model learn in the first place? This episode builds on the show's earlier episodes on tokens, embeddings, attention, and Transformers to explain training: the process that turns a model's huge collection...

This quick news update covers the AI developments from October 5 into October 6, 2026 worth knowing, from a new open-weight model to a critical security patch and a shift in how big tech companies use Anthropic's Claude...

What is a Transformer, and why did this one architecture become the foundation for so much of modern AI? This episode builds on the show's earlier episodes on tokens, embeddings, and attention to explain how a...

When an AI model reads a sentence, it doesn't treat every word as equally important. This episode explains attention, the mechanism that lets a model decide which parts of its context deserve more weight when computing...

The AI industry packed an unusual amount into a single week, and this Sunday wrap-up covers the developments from September 28 through October 4, 2026 that say the most about where the industry is heading. Anthropic...

What exactly is an embedding, and why is it such an important building block in modern AI? This episode explains how text becomes a numerical vector, how comparing those vectors enables semantic search, and how the same...