PAGES22
WORDS21,709
SOURCES36
READ TIME94 min
TYPEHUB
CHECKED25 AUG 26
The largest topic on the site by page count. What these systems are, what they can be shown to do, and how to choose between them.
What they are
The mechanism, in plain terms, before the benchmarks.
EXPLAINER · 1 MIN · 1 SOURCESHOW AN AI IS BUILTFrom sand to answer: silicon, data, pretraining, alignment, products, agents.EXPLAINER · 4 MINUnderstanding AI Model Types: Image, Video, Audio & LLM ExplainedWhat each type of AI model does, what it cannot do, and how image, video, audio, and LLM models work together in a production pipeEXPLAINER · 3 MINThe Eight Kinds of AI You Already UseEight entities live in the machine city: the Oracle-Poet, the Librarian, the Swift, the Artist, the Commune, the Titan,…EXPLAINER · 7 MINThe AI Glossary: sixty terms, honestly definedSixty AI terms defined in plain language as used in mid-2026: tokens, transformers, RAG, quantization, MoE, model…
What they measurably do
Sourced and dated. Re-queryable where possible.
EXPLAINER · 4 MINHOW AI IS TESTEDBenchmarks, red teams, interpretability, monitoring — what each catches, what each misses, and the nine questions none…EXPLAINER · 3 MIN · 3 SOURCESWHY AI MAKES THINGS UPNot a glitch. Explained plainly, with sources named and dated.THE RECORD · 4 MIN · 8 SOURCESHow AI Influences You BackEveryone writes about how prompts shape models. The other direction is measured, substantial and largely invisible: sycophancy, foEXPLAINER · 3 MIN · 2 SOURCESDOES AI UNDERSTAND?Both confident answers are wrong. Explained plainly, with sources named and dated.
Choosing between them
Current status, including one model being switched off.
THE CRAFT · 18 MIN · 6 SOURCESModel GuidesAround twenty models and studios with their optimal prompt format — ChatGPT Image 2.0, Seedance, Kling, FLUX, Midjourney, Suno, ElTHE CRAFT · 4 MIN · 1 SOURCESBad, Good, GreatThe same goal written three ways. The fastest way to see what actually separates an amateur prompt from a production one.THE CRAFT · 2 MINPrompt, Context, Skill, or Fine-TuneFour ways to shape model behaviour at wildly different costs, and how to choose. Most problems taken to fine-tuning are context prTHE CRAFT · 3 MIN · 1 SOURCESWhat You Are Actually BurningYou are billed for everything the model reads, re-sent every turn. Where the cost really goes, why agents multiply it, and the modEXPLAINER · 3 MINThe AI Tools Atlas: the landscape by job, not by logoThe AI tool landscape mapped by what you are trying to do: assistants, coding agents, image, video, voice, answer…
Working with them
The craft that survives a model release.
THE CRAFT · 3 MIN · 2 SOURCESContext EngineeringPrompting is now the small part of the job. What surrounds the prompt — the material, the history, the tools, the memory — is the EXPLAINER · 4 MINThe CARE Framework: Context, Anchor, Restrict, ExemplifyA four-part AI prompting framework that works first time. CARE — Context, Anchor, Restrict, Exemplify — applied to image, video, aEXPLAINER · 3 MINWhat Makes a Prompt Good? The 6 Non-Negotiable ElementsSix elements that separate AI prompts that work from ones that don't. Applies to image, video, and LLM models. Learn what every suTHE RECORD · 4 MINHOW TO ASK AI WELLNot prompt tricks that expire with the next release. Sourced, dated, and revised when the numbers move.EXPLAINER · 4 MINPrompting for LLMs: ChatGPT, Claude & Gemini — What Actually DiffersPractical differences between prompting ChatGPT, Claude, and Gemini. Model-specific strategies, system prompt structures, and how
Where they run
Sand, power and heat.
EXPLAINER · 6 MIN · 1 SOURCESWhat AI Actually Runs On: sand, power, and heatDescend from silicon die to power grid: why GPUs, what memory bandwidth means, how a training run works, and the…EXPLAINER · 5 MIN · 2 SOURCESLocal or Cloud: Where Does AI Live Next?A no-sides study of local versus cloud AI in mid-2026: the roughly 3-6 month capability gap, the strongest honest case…EXPLAINER · 3 MIN · 2 SOURCESOPEN OR CLOSEDOpen weights trail the frontier by months, not years. Explained plainly, with sources named and dated.DATED · 4 MIN · 7 SOURCESENERGY AND WATEREstimates for the water behind one AI query differ by a thousandfold.