AI Foundations - Models, Math & Intuition
How large language models sound certain — and get it wrong.
A cinematic series on why large language models are so fluent and so confidently wrong: autocomplete at scale, tokenization quirks, attention across everything, obedience and alignment, and the failure archetypes founders keep rediscovering. Six short episodes that build real intuition for how LLMs behave.
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Vivid Labs
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AI Foundations - Models, Math & Intuition
Chapter List
Artificial Confidence — The Autocomplete That Ate the World
Artificial Confidence — The Alphabet Nobody Asked For
Artificial Confidence — Everyone Talking About Everyone
Artificial Confidence — Obedience School
Artificial Confidence — Confidently Wrong at Scale
Artificial Confidence — The Founders Bestiary
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