Edition no. 40· Sep 28 – Oct 4, 2026
Understand AI, week by week
Clear, sourced guides to how AI actually works and how to use it well — from your first prompt to building agents.
- 25 guides
- 8 news
- 72 glossary terms
- GoogleGoogle Unveils Gemini 4 Argon With a 1M-Token Output Limit
- OpenAIOpenAI DevDay 2026: GPT-6.1 Sol, the Agents API and Dots
- AnthropicAnthropic Commits $100M to Train 10,000 AI Engineers
- AnthropicClaude Agents Discover a Previously Unknown Enzyme System
- AnthropicClaude Opus 5.5 and Sonnet 5.5: Faster and Cheaper
- MetaMeta Launches Muse, a Personal Agent That Runs Errands for You
- CursorCursor Launches Projects: One Agent Coordinating Many Others
- xAIGrok 4.7: xAI's New Model for Coding and Agents
This week's edition
All news →Top storyNew
Google
Google Unveils Gemini 4 Argon With a 1M-Token Output Limit
Google announces Gemini 4 Argon, its new frontier model for coding, professional work and cybersecurity. Pricing, availability and what changes.
- Announced on 30 September 2026 as Google's new frontier model.
- It can generate up to 1 million output tokens, up from 64,000 in the previous generation.
- Launch price: $2 per million input tokens and $10 per million output; later $4 and $20.
- For now only selected cybersecurity defenders can use it; the paid API and Google AI Ultra come next.

NewOpenAI
OpenAI DevDay 2026: GPT-6.1 Sol, the Agents API and Dots
The key OpenAI DevDay 2026 news: the GPT-6.1 Sol model, the Agents API with computer use, Codex in the cloud and Dots, which is not coming to the EU.

NewAnthropic
Anthropic Commits $100M to Train 10,000 AI Engineers
Anthropic launches Claude Frontier Academy to train 10,000 engineers to deploy AI inside companies by the end of 2027. How it works and who can join.

NewAnthropic
Claude Agents Discover a Previously Unknown Enzyme System
About 950 Claude agents combed a DNA database and found an enzyme system with CRISPR-like repeats. What was found and what is still unknown.
The map of AI
The key concepts and how they connect. Tap any of them to see its explanation.
How much does each model cost?
API price per million output tokens, in US dollars.
- GPT-6 LunaOpenAI0.50 $
- DeepSeek FlashDeepSeek1.2 $
- Grok 4.3xAI2.5 $
- Gemini 3.8 FlashGoogle3.75 $
- DeepSeek V4-ProDeepSeek3.96 $
- Muse Spark 1.2Meta4.25 $
- Claude Haiku 4.5Anthropic5 $
- Grok 4.7xAI6 $
- Claude Sonnet 5.5Anthropic10 $
- GPT-6.1 SolOpenAI10 $
- Gemini 3.1 Pro (preview)Google12 $
- Claude Opus 5.5Anthropic20 $
- Claude Fable 5.1Anthropic50 $
- GPT-6 AstraOpenAI50 $
Learning path
If you are new to AI, begin here. These guides explain the core ideas in plain language and in a sensible order, so everything else on the site makes sense.

Lesson 1New4 min read
How AI Language Models Work: LLMs, Tokens and Context
A plain-language explanation of what large language models are, how they generate text, what tokens and context windows are, and why it matters to you.

Lesson 2New3 min read
AI Hallucinations and Privacy: A Beginner’s Safety Guide
Why AI models make things up, how to catch and reduce hallucinations, what happens to the data you share with chatbots, and a step-by-step learning path.

Lesson 3New4 min read
AI Model Guide: Claude, GPT, Gemini, Grok and More
What each name and version means: Fable, Opus, Sonnet, Astra, Sol, Luna, Gemini, Grok, Muse Spark and DeepSeek. What each is for and what it costs.

Lesson 4New3 min read
Getting Started With ChatGPT, Claude and Gemini
How to start using an AI assistant from scratch: create your account, what the free plan offers, your first conversation and the privacy settings to check.

Lesson 5New2 min read
What AI Can and Cannot Do Today
A realistic guide to generative AI in 2026: where it excels, where it is mediocre and where you should not trust it, with concrete examples.

Lesson 6New3 min read
12 Everyday Uses of AI (With Example Prompts)
Practical ideas to start getting value from AI at home, at work and in your studies, with the exact prompt you can copy and adapt for each one.

Lesson 7New2 min read
A 30-Day Roadmap to Learn AI From Scratch
A four-week plan, 30 minutes a day, to go from zero to using AI confidently and understanding agents and automation, with free resources along the way.
Latest guides

AI agentsNew3 min read
Coding Agents Compared: Claude Code, Codex and Cursor
What a coding agent is, how Claude Code, Codex and Cursor work, what they cost and which to choose, with tips for using them safely.

MCP & connectorsNew2 min read
MCP Servers to Start With: What to Try and How to Choose
Official and reference MCP servers to connect AI with your files, GitHub, Notion, Stripe or Sentry, and how to tell whether a server can be trusted.

TutorialsNew3 min read
Projects, Instructions and Memory: Customise Your Assistant
How to use ChatGPT and Claude projects, Gemini Gems, custom instructions and memory so you don't have to repeat the same context every time.

AI agentsNew4 min read
Your First Agent With the Claude API, Step by Step
Build a simple tool-using agent in Python: how tools are defined, how the agent loop works and how to add limits and human approval.

MCP & connectorsNew3 min read
Build Your Own MCP Server in Python, Step by Step
A tutorial to build a simple MCP server with the official Python SDK, test it with MCP Inspector and connect it to Claude Desktop and Claude Code.

TutorialsNew2 min read
How to Summarise and Analyse Long PDFs and Documents With AI
Step by step to summarise, compare and extract data from PDFs, contracts and long reports with an AI assistant, and how to check nothing was made up.
Explore
- 7 guides
Tutorials
Practical AI tutorials: prompting techniques, getting more from ChatGPT, Claude and Gemini, image generation and no-code automation.
- 6 guides
AI agents
What AI agents are, how they differ from chatbots and assistants, coding and browser agents, multi-agent systems and proven design patterns.
- 5 guides
MCP & connectors
Understand the Model Context Protocol, install MCP servers, connect AI to Drive, Gmail, Slack or GitHub, and learn how function calling works.
Models
Compare current AI models and tools side by side: API prices, context window and what each one is best at. Every row shows when it was last verified.
Resources
A curated directory of free AI courses: LLMs, prompting, AI agents, MCP and automation from Anthropic, Hugging Face, Microsoft, Google and more.
Videos
A curated list of AI YouTube channels and podcasts in English, Spanish and French, with a reliability rating, plus three videos to start with.
Glossary
Plain-language definitions of AI terms from A to Z: tokens, context window, RAG, agents, MCP, fine-tuning, hallucination and many more.