Technology

Learn AI in Bits

by Dan W

Technology

Share this ranking Is this your show? Claim it

Listen on Apple Podcasts RSS feed

Chart positions today · United States

Not on the United States charts we track today.

If you like Learn AI in Bits, try…

AI Odyssey

Latest episodes

087 - AI Hacking Is Here: Black October

October 23, 2026 · 5 min

A wave of cybersecurity disclosures has made this week feel like a turning point, with people calling it "Black October." This episode treats it as a cluster of high-impact incidents, not proof that one AI-driven campaign caused them all…
086 - What Is Recursive Self-Improvement?

October 20, 2026 · 7 min

Recursive self-improvement is the idea that an AI can improve the very process it uses to improve itself, and this episode separates what's been demonstrated so far from the dramatic predictions often attached to the term. It draws a clear…
AI News Sunday Wrap-Up (10/12–10/18)

October 19, 2026 · 8 min

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 infrastructure…
085 - All About Meta's Muse Spark

October 16, 2026 · 7 min

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 developers. Muse…
084 - Speculative Decoding: Making LLMs Generate Faster

October 15, 2026 · 7 min

When a large language model generates text one token at a time, even a fast GPU hits a sequential bottleneck. This episode explains speculative decoding, an inference technique that prepares several tokens at once and checks them together…

Show 7 more episodesShow fewer episodes

083 - Why LLMs Are Slow: Inside GPU Inference

October 15, 2026 · 8 min

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 episode, into GPU memory…
082 - The OpenAI Bugging Incident: AI Helps Investigate a Hidden Recording Device

October 14, 2026 · 6 min

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 the publicly reported…
081 - How Does AI Inference Work?

October 13, 2026 · 8 min

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 request through the…
080 - [Extended] AI at Work: From Chatbots to Projects, Skills, and Agents

October 12, 2026 · 12 min

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 episode maps what's…
079 - One Developer Used AI to Build Adobe Apps. Now He's Taking on Microsoft Office.

October 11, 2026 · 5 min

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 with three new…
AI News Sunday Wrap-Up (10/05 - 10/11)

October 11, 2026 · 5 min

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 model submitted a…
078 - Seven Adobe Clones, Built with AI and Rust?

October 9, 2026 · 5 min

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 Adobe applications…

Full episode archive on Apple Podcasts →

About the show

AI explained in bits. Each episode takes one concept, like tokens, embeddings, hallucinations, or prompt injection, and explains it in about five minutes. No jargon, no filler. Just the idea, why it matters, and what to remember. If you're curious about AI or already building with it, you'll come away understanding how these systems work. One concept. Five minutes. That's the whole show.