5sigmas · Artificial intelligence, without the noise

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Each topic connects a short video, an interactive animation, a technical chapter and the original sources. Build intuition first. Then manipulate the mechanism, test its limits and go deeper into the evidence.

01 WatchGet oriented in 1–2 minutes
02 ManipulateChange variables and test the mechanism
03 Go deeperChapter and primary sources
The standard behind the name

Why 5sigmas?

In particle physics, a result is conventionally treated as a discovery only when it reaches five-sigma significance: a threshold stringent enough that the probability of mistaking an extreme fluctuation for a real signal is roughly one in 3.5 million.

5sigmas applies the same editorial principle to artificial intelligence: separate durable knowledge from daily noise, demand evidence, and build judgment before accepting a narrative, tool or promise.

5σdiscovery threshold ≈ 1 in 3.5Mextreme-noise probability Signal > noiseeditorial principle
Normal distribution with the five-sigma threshold separated from expected noise
Do not publish because something is new. Publish when the explanation survives evidence, context and its own limitations.

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Core concepts

Direct answers to the ideas behind modern AI.

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Visual explanations

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Engineering

Technical note

Proactive and reactive agents and tool calls

How to separate the conversational contract, internal execution and deferred completion without turning conversation history into the system database.

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Conversational runtime
Internal state
Asynchronous execution