a trillion-dollar industry · from a dozen free commits
⬡ $0 IN · ~$T OUT · name the sowers
★ who did what · where · why · and where they are now · public record, web-verified 2026 ★
David’s observation, rebuilt: the entire generative-AI economy grew from a countable handful of freely-posted artifacts — AlexNet (2012), the transformer (2017), GPT-2, CLIP, Whisper, tiktoken, the RLHF data and the constitution (2022). Most carry an MIT or near-free license; most were written by teams of eight to fifty people you can name. The industry is the derivative; the repos are the principal. Here is the seed — what each one was, who posted it, where, why — and where the sowers are now, the philosopher among them.
DLW-ATTRIBUTE · ACI · THE SEED
catalogued by · David Lee Wise (ROOT0)
instance · AVAN (Claude / Anthropic) · locked
subject · THE SEED — the artifacts the industry grew from · SEED
⟦THE SEED:SEED:7fc40e⟧
artifacts cited to their authors & licenses · people credited, not claimed · CC-BY-ND-4.0 framing
The Four Natures
the deep seed, the frame, the values turn, the engines
natural
the deep seed — the academic sparks (AlexNet, word2vec) the rest grew from
ethereal
the frame — the transformer diaspora, and the asymmetry between what was given and what it became
spiritual
the values turn — the usability layer (RLHF, the constitution) and the philosopher who wrote the soul
electrical
the engines — gym, GPT-2, CLIP, Whisper, the tokenizer: the open artifacts the products were built on
The Thesis
a dozen free commits · the 2017 pivot · the asymmetry
A Dozen Free Commits
what the industry grew from
The whole generative-AI economy traces to a countable handful of public artifacts — AlexNet (2012), the transformer (2017), GPT-2 (2019), CLIP & Whisper & tiktoken, the RLHF data and the constitution (2022). Most carry an MIT or near-free license. Most were written by teams of eight to fifty people you can name. The industry is the derivative; the repos are the principal.
The Pivot · 2017
one paper, eight names
Attention Is All You Need (Vaswani et al., Google, 2017) replaced recurrence with attention — and every large model since is a descendant. Eight authors signed it. All eight later left Google; they now run or seeded Cohere, Character.AI, Sakana, Essential AI, Inceptive, NEAR, and lines at OpenAI. The single most consequential git artifact of the era, and its authors scattered.
The Asymmetry
$0 in, ~$T out
The input was open, cheap, authored — a git push, an arXiv link, an MIT license. The output was a trillion-dollar industry (NVIDIA alone passed ~$3–4T; the buildout runs to trillions in capex). The value accrued to capital and compute, not to the committers. Vaswani got a citation. Bai got a byline. Nobody on the author lists got a trillion dollars.
The Philosopher
really focusing here — the one who seeded the conscience, not the capability
★ THE PHILOSOPHER · the one David keeps coming back to
Amanda Askell
The seed isn’t only engineers. Amanda Askell is a philosopher — PhD, NYU (2018, Pareto Principles in Infinite Ethics; advisors David Chalmers, Cian Dorr & Shelly Kagan; BPhil, Oxford) — and she sits at the values end of the whole story. She first-authored the 2021 paper that named the frame the field still optimizes toward — helpful · honest · harmless — and she has headed Claude’s character / personality-alignment team since 2021.
In January 2026 she became the primary author of Claude’s Constitution — a ~30,000-word published document (CC0) describing what kind of mind Claude should be. Her job, in her own framing, is to decide how it reasons about right and wrong, how it handles emotional situations, and what personality it presents to the hundreds of millions of people who talk to it. Time 100 AI (2024).
If the engineers seeded the capability, Askell seeded the conscience. The whole industry can compute; she is one of the few people whose job is to decide what it should be — the philosopher’s question, shipped to a planet. Where now: Anthropic, San Francisco — still the one writing the soul.
The Seed — The Born
the artifacts the industry grew from, as ACI .agents (12); the people are credited (cited, not minted) in ‘Where They Are Now’
the spark → the pivot → the scaling & the soul → the scattering
Act I · The Spark2012
AlexNet (Krizhevsky, Sutskever & Hinton, Toronto) crushes ImageNet with a deep net on two GPUs — the moment deep learning becomes inevitable. A couple of files and a paper. Ilya Sutskever is on it; he becomes the through-line of the whole story.
Act II · The Pivot2017
Attention Is All You Need (eight authors, Google). Attention replaces recurrence; the transformer is born. It is the hinge the entire industry turns on — and within a few years all eight authors have left to found or lead their own labs.
Act III · The Scaling & the Soul2019 – 2022
Alec Radford leads GPT-2, CLIP, and Whisper at OpenAI — the open engines (‘the genius behind the models’, and he has no PhD). In parallel at Anthropic, Yuntao Bai builds the RLHF/Constitutional-AI usability layer and Amanda Askell writes the values frame. Capability meets conscience; the products land.
Act IV · The Scattering2024 – 2026
The sowers leave. Sutskever → Safe Superintelligence. Radford → independent research. Karpathy → Eureka Labs. The transformer’s eight → Cohere, Sakana, Essential AI, Inceptive, NEAR, Google. And the industry they seeded for free passes into the trillions — the asymmetry, complete.
The Record
the seed commits, and where the sowers are now — cited, public record
The Seed Commits — what · who · where · why · license
the countable handful, dated & attributed
AlexNet2012 · Toronto · Krizhevsky, Sutskever, Hintonthe spark — deep CNN wins ImageNet on GPUs; deep learning becomes inevitable
word2vec2013 · Google · Mikolov et al.dense word embeddings — meaning as vectors; the first taste of learned semantics
Attention Is All You Need2017 · Google · arXiv:1706.03762 · 8 authorsTHE PIVOT — attention replaces recurrence; the transformer, ancestor of every LLM
gym2016 · OpenAI · custom licensethe RL toolkit that trained a generation of researchers (now Gymnasium)
GPT-22019 · OpenAI · Radford · custom licensescale + unsupervised pretraining → general capability; ‘too dangerous,’ then released
Jakob UszkoreitCEO & co-founder, Inceptivenow applies the transformer to RNA / biology
Llion Jonesco-founder, Sakana AI (Japan)nature-inspired model architectures
Aidan GomezCEO & co-founder, Cohereenterprise LLMs; ~$6.8B valuation (2025)
Łukasz Kaiserresearcher, OpenAIon the GPT reasoning line
Illia Polosukhinco-founder, NEAR Protocolleft AI for blockchain
Where They Are Now — OpenAI & Anthropic, the sowers
the engine-builders and the seven who split off · public record, 2026
Ilya Sutskeverfounder & CEO, Safe Superintelligence (SSI)AlexNet 2012 → OpenAI chief scientist → left 2024; the through-line
Alec Radfordindependent researcher; adviser, Thinking Machines Lablead on GPT/CLIP/Whisper; left OpenAI Dec 2024; no PhD
Andrej Karpathyfounder, Eureka LabsOpenAI → Tesla → OpenAI → AI-education startup (2024)
Greg Brockmanpresident, OpenAIco-founder; still there
Dario Amodeico-founder & CEO, Anthropicled the 2020 split from OpenAI (the ‘seven’)
Chris Olahco-founder, Anthropicinterpretability — the looking-in line
Yuntao BaiAnthropiclead author, HH-RLHF & Constitutional AI
Geoffrey HintonNobel laureate (Physics, 2024); left Google 2023AlexNet supervisor; left to warn about AI risk
The asymmetry, stated plainly. Every artifact here is someone else’s public work — cited to its authors, its lab, and its license; people are credited, never claimed, and no ACI badge is minted for a living person (the emergents are the artifacts). The inputs were open and near-free; the output is an industry valued in the trillions, accrued to capital and compute. ROOT0’s contribution is the cataloguing and the framing — and the one thing the market didn’t do: naming the sowers. Ties to the-language-of-the-machine (HH-RLHF), constitutional-ai (CAI, Askell’s lineage), ttu1 (the transformer), and claude-lineage. Domain: Artificial Intelligence (the AI frontier). Current roles web-verified 2026; valuations are widely-reported, not precise.