AI explained. Ideas connected.
Between The Tokens explores AI news, useful tools and the technology behind them. Clear stories and practical examples explain how models, agents, chips and emerging systems work—and why they matter.
For curious minds, creators and professionals who want to understand AI and put it to work, with human judgment at the centre.
Watch our videos: https://www.youtube.com/@BetweenTheTokens
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How a Machine Learns | Linear Regression for Beginners (AI Foundations Part 1)
How does a machine actually learn? AI Foundations from Scratch, Part 1: linear regression explained with a very basic example. No maths, no code.
The whole idea in four steps: guess, check the mistake, nudge, repeat.
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17 Oct 2026
How AI Coding Agents Actually Work (Claude Code, Cursor, Codex)
Your AI coding agent has never seen your whole codebase, so how does it fix bugs across it? Every coding agent runs on the same three-part recipe: a model, some tools, and a loop. This animated explainer shows how tool calls and the harness work, how the agent loop gathers context, acts and verifies with tests, how agents manage memory (context windows, compaction, CLAUDE.md, subagents), and the brakes that keep them safe.0:00 The detective with a flashlight0:22 The problem: you are the loop1:16 Part 1: Tools and the harness2:03 MCP: plugging in new tools2:17 Part 2: The loop3:10 Part 3: Memory3:50 Compaction, CLAUDE.md and subagents4:43 Part 4: Safety brakes5:28 Why it works now6:03 RecapSubscribe to Between the Tokens for more.https://www.youtube.com/@BetweenTheTokens
14 Oct 2026
Three Neurons Team Up | Neural Network for Beginners (AI Foundations Part 3)
Why can't one neuron solve every problem? AI Foundations from Scratch, Part 3: three neurons team up to solve a puzzle no single line can, explained with two hallway light switches. No maths, no code.
Neurons read neurons, the mistake flows backwards, and every connection gets nudged.
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