Between The Tokens

Between The Tokens
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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 Follow for simple AI explanations and the latest developments.

  1. Oct 17

    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. Follow Between The Tokens for more AI explained.

  2. Oct 17

    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

  3. Oct 14

    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. Follow Between The Tokens for more AI explained.

  4. Oct 14

    How a Machine Decides | One Neuron for Beginners (AI Foundations Part 2)

    How does a machine make a decision? AI Foundations from Scratch, Part 2: one neuron, explained with a very basic pass-or-fail example. No maths, no code. Clues in, add them up, squash into a confidence, check the mistake, nudge, repeat. Follow Between The Tokens for more AI explained.

  5. Oct 12

    From Tokens to ChatGPT: How AI Actually Works

    How does a sentence become a ChatGPT response? Tokens become embeddings. Queries meet keys, attention weights combine values, and transformer blocks build context. Follow the chain in under a minute. Which part should we explain next: embeddings, attention or training? Follow Between The Tokens. #ChatGPT #AIExplained #Transformers #Attention #BetweenTheTokens

  6. Oct 11

    Qwen Image 2.1 Turbo: From Sketch to a New Image

    A character sketch becomes a figurine-style image. Separate furniture references become one room. Qwen Image 2.1 Turbo combines image generation and editing with eight refinement steps—but eight steps does not mean eight seconds. What would you try first? Follow Between The Tokens. YouTube: https://www.youtube.com/@BetweenTheTokens Spotify: https://open.spotify.com/show/3ssBkwVlz09YVp25ch6RD8 #Qwen #AI #ImageGeneration #BetweenTheTokens

  7. Oct 11

    Qwen Image 2.1 Turbo, Odyssey-3, Mellum 2.1, Carbon-A, Decision-1 & Perplexity Decider! AI NEWS

    A sketch becomes a new image. A generated world reacts to your next move. A coding model works inside a repository, while another model reads DNA. Six AI updates from this week: Qwen Image 2.1 Turbo, Odyssey-3, JetBrains Mellum 2.1, Hugging Face Bio Carbon-A, Microsoft Decision-1 and Perplexity’s decider benchmark update. We explain what each tool is for, where it fits in a workflow and what the headline numbers actually mean. CHAPTERS00:00 Six practical AI updates00:17 Qwen Image 2.1 Turbo01:25 Odyssey-302:38 JetBrains Mellum 2.103:47 Hugging Face Bio Carbon-A04:59 Microsoft Decision-106:11 Perplexity Decider07:08 Which tool belongs in your workflow? WATCH NEXTHow AI Chips Are Made: ASML + TSMChttps://www.youtube.com/watch?v=X3NwrwraCnM Mistral’s TRILLION-Parameter Preview, Nano Banana 2.1, Beam & More! AI NEWShttps://www.youtube.com/watch?v=mzeYqTg66XM Which of these would you use first? Follow Between The Tokens for visual AI news and explanations.

  8. Oct 11

    AI Benchmarks Explained: What the Scores Really Mean

    AI benchmarks are tests—not a single measure of intelligence. AIME, GPQA and SWE-bench test different abilities. This episode explains what the scores mean, how coding and agent benchmarks work, and why speed, cost and your own workload matter too. Which matters most for your AI tools: reasoning, coding, speed or cost? Follow Between The Tokens. Watch on YouTube Follow on Spotify

    AI Benchmarks Explained: What the Scores Really Mean
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About

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 Follow for simple AI explanations and the latest developments.

Information

  • Creator
    Between The Tokens
  • Years Active
    2026
  • Episodes
    44
  • Rating
    Explicit
  • Copyright
    © Between The Tokens
  • Show Website
    Between The Tokens