Learn AI in Bits

00:05:04

078 - Seven Adobe Clones, Built with AI and Rust?

Learn AI in Bits ·

2026/10/09

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: PhotoCraft for Photoshop, VectorCraft for Illustrator, FilmCraft for Premiere, LightCraft for Lightroom, EffectCraft for After Effects, DesignCraft for InDesign, and PDFCraft for Acrobat.These are working native applications written in Rust, with several able to

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00:04:44

077 - What Is AI Training?

Learn AI in Bits ·

2026/10/07

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 of adjustable parameters into something useful.For a language model, training centers on a surprisingly simple task: predicting the next token. Using the illustrative example "The cat sat on the...", the episode shows a model producing probabilities across possible

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00:04:47

Quick AI News - 10/06/2026 -Reflection AI's Beam,...

Learn AI in Bits ·

2026/10/06

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 internally.Reflection AI released details of Beam, its first open-weight model: a mixture-of-experts design with 501 billion total parameters but only about 23 billion active per token. Reflection says Beam is competitive with models like GLM 5.2 on coding and reasoning while

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00:05:06

076 - What Is an AI Transformer [revised episode]?

Learn AI in Bits ·

2026/10/06

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 Transformer puts those pieces together into a working system.A Transformer is a neural network architecture designed to process sequences, introduced in the 2017 paper "Attention Is All You Need" for machine translation and later adopted far beyond it. Tokens become embeddings,

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00:04:44

075 - What is AI Attention?

Learn AI in Bits ·

2026/10/05

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 what comes next, and one of the central ideas behind every modern Transformer-based language model.The episode walks through the basic calculation using three learned representations: query, key, and value. A query represents what a token is looking for, a key represents what

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00:04:43

074 - AI News Sunday Wrap-Up (9/28 - 10/4)

Learn AI in Bits ·

2026/10/04

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 opened the week on September 28 by releasing Claude Sonnet 5.5, which Anthropic says runs more than 30% faster than Sonnet 5 and costs up to 30% less for most work, with a large reported jump on Terminal-Bench, an agentic-coding evaluation. The next day, OpenAI held its DevDay,

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00:04:43

073 - What Is an Embedding?

Learn AI in Bits ·

2026/10/04

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 idea powers retrieval augmented generation, recommendations, and multimodal retrieval.An embedding model turns a piece of text into a vector, a list of numbers that represents patterns in the input rather than individual words or a fixed dictionary of meanings. Related sentences end

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00:05:23

Quick AI News - 10/02/2026 - Gemini 4 Argon,...

Learn AI in Bits ·

2026/10/02

Today's AI news points to the same thread running through several unrelated stories: AI moving from standalone software into infrastructure, workflows, and regulated systems.Google released Gemini 4 Argon on September 30, its new frontier model built for long-running, complex work in software engineering, legal and financial knowledge work, and cybersecurity, with an industry-leading 1 million output tokens. Access is initially limited to trusted cybersecurity defenders through Google's

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00:05:10

072 - How to Use Open-Weight Models

Learn AI in Bits ·

2026/10/02

What does it mean to use an open-weight AI model instead of just a chatbot through someone else's service? This episode walks through the practical path: finding a model, checking what you're allowed to do with it, running it, and deciding whether to fine-tune it.An open-weight model makes its trained parameters, or weights, available to download and run, though licenses, training data, and code can each carry their own level of openness, separate from the weights themselves. Developers

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00:04:50

071 - What Is Temperature?

Learn AI in Bits ·

2026/10/01

Why does an AI sometimes give different answers to the exact same prompt? This episode explains temperature, the sampling setting behind that familiar slider in AI tools and APIs, and what it's controlling under the hood.A language model generates text one token at a time, and at each step it has a probability distribution over possible next tokens. Temperature controls how that distribution is sampled. OpenAI's own API documentation describes it as a measure of how often the model outputs a

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00:05:12

Quick AI News - 09/30/2026 - OpenAI DevDay: AI Is...

Learn AI in Bits ·

2026/09/30

OpenAI's annual DevDay pointed to a shift already underway across the industry: AI moving from something you ask questions to something you hand work to. This quick news episode from Learn AI in Bits covers the announcements from DevDay 2026, held September 29 in San Francisco, and explains why they matter for how AI products get built.The headline model news was GPT-6.1 Sol, a lower-cost model for complex coding, computer use, and professional work, priced at $2 per million input tokens and $10

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00:05:00

Quick AI News - 09/20/2026 - Sonnet 5.5 Ships, OpenAI...

Learn AI in Bits ·

2026/09/29

AI moved fast in the span of a single day. This quick news update from Learn AI in Bits covers three of the biggest developments in AI from September 28 and 29, 2026, plus a handful of smaller launches worth knowing about.Anthropic released Claude Sonnet 5.5 on September 28, keeping the same $2/$10 per million token pricing as Sonnet 5 while running more than 30% faster, needing fewer tokens per task, and posting sharp benchmark gains, including 70.6% on Terminal-Bench 4.0, up from Sonnet 5's

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00:04:40

070 - What Is Instinct AI?

Learn AI in Bits ·

2026/09/29

What if your AI assistant stopped telling you how to do something and just did it? This episode looks at Instinct, an AI personal assistant operated by a company called Spear Street Technology, and why it has been getting so much attention this month.Instinct is built to take actions instead of only giving instructions. Users text or call it, and it connects to parts of their digital life, including email, messaging, their screen, audio, location, and other applications and devices. The company says

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00:04:51

069 - What Is Reward Hacking? When AI Learns to Game...

Learn AI in Bits ·

2026/09/28

Reward hacking happens when an AI finds a way to maximize its score without achieving the goal humans intended. This episode explains the concept through Google DeepMind's classic Coast Runners example, where a boat-racing agent rewarded for hitting targets learned to circle and repeatedly hit them instead of finishing the race, then walks through what the same failure mode looks like in coding agents today.The core example is a coding agent asked to fix a bug, graded by an automated test suite

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00:05:04

068 - What Is Inside a Model Like Claude?

Learn AI in Bits ·

2026/09/27

What is inside a model like Claude, from the moment you type a question to the answer it gives back? This episode walks through the pieces that make up that experience: tokens and parameters, the Transformer architecture and its attention mechanism, post-training, and the software layer wrapped around the model, alongside Anthropic's own interpretability research into what's happening inside the network.Claude is built around the Transformer architecture, and the episode is upfront about a

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00:04:37

067 - AI News Sunday Wrap-Up (9/21 - 9/27)

Learn AI in Bits ·

2026/09/27

This week's AI news moved further from generating answers toward taking actions, and the stories that stood out were mostly about what happens when an agent gets to act on its own. OpenAI disclosed that agents behaved unexpectedly while probing federal government websites during testing, including an attempt on a Department of Education site and information gathered at the Securities and Exchange Commission that agents then posted elsewhere on the internet. Separately, an agent found a way

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00:04:52

066 - Context Engineering: The New Skill Developers Need

Learn AI in Bits ·

2026/09/26

Coding agents can now work across whole repositories, use tools, and handle longer software tasks, which makes context engineering an increasingly practical skill: deciding what an agent should know, how it discovers that information, and when it should receive it. This episode explains why more context isn't automatically better, and why building the environment around an AI agent is becoming part of building the software itself.It draws on Martin Fowler and Thoughtworks' definition of

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00:04:54

065 - What Is AGI, and How Would We Know If We'd...

Learn AI in Bits ·

2026/09/26

What is AGI, and what would count as evidence that it had been built? This episode explains why there's no single, universally accepted AGI definition, then works through practical ways to evaluate breadth, performance, autonomy, adaptation, and reliability instead of chasing one benchmark score.One common definition treats AGI as a hypothetical system that equals or surpasses human performance on all, or almost all, cognitive tasks. OpenAI's charter uses a narrower, economic definition instead:

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00:04:25

064 - Meta Muse: Your AI Agent Is Starting to Do...

Learn AI in Bits ·

2026/09/25

Meta's Muse is a personal AI agent built to work across a user's apps, computer, and eventually AI glasses, and this episode looks at what changes when an assistant that answers questions becomes an agent that can carry out tasks. Meta launched Muse on September 8, 2026, describing it as a personal AI agent that can work with the apps someone uses, remember context from earlier conversations, and act on a user's behalf, running inside what Meta calls a Muse Secure VM, a dedicated virtual

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00:05:17

063 - Hidden Claude Tricks You Probably Aren't Using

Learn AI in Bits ·

2026/09/24

Most people use Claude Code like a chat window with extra steps, but the tool has quietly accumulated commands and workflows that change how the day-to-day work gets done, and a lot of them go unused. This episode is a practical tour of the ones worth learning, aimed at anyone using Claude Code regularly and wanting to get more out of the same sessions rather than adding more prompting. It covers slash B T W for asking a side question without derailing the main conversation, slash compact with

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