· turning point
ChatGPT
OpenAI puts a chat interface on an instruction-tuned GPT-3.5 as a 'research preview'; a million people use it in five days, a hundred million in two months, and everything changes.
what had to happen · 48 events back to 1943
Every event this one built on, transitively, in order. Direct influences are marked.
00 · One neuron · 1
I · Foundations · 11
- 1948A mathematical theory of communication
- 1949Cells that fire together wire together
- 1950Programming a computer for playing chess
- 1950Computing machinery and intelligence
- 1958The perceptron learns
- 1959Samuel's checkers program coins 'machine learning'
- 1960ADALINE and the least-mean-squares rule
- 1965Moore's law
- 1966ELIZAdirect
- 1969Perceptrons
- 1970Reverse-mode automatic differentiation
W1 · The first winter · 2
II · Connection · 3
W2 · The second winter · 6
III · Statistics and data · 9
IV · Deep learning · 8
V · Transformers · 7
VI · Everyone · 1
- 2022InstructGPTdirect
ChatGPT was released on 30 November 2022 as a free research preview, a text box and a model, and its makers did not expect much. The model was GPT-3.5, an updated GPT-3 fine-tuned with human feedback on conversations the way InstructGPT had been on instructions. It remembered what had been said earlier in the exchange, refused some requests, admitted some mistakes, and answered nearly anything in fluent, organised prose. It reached a million users in five days and an estimated hundred million in two months, faster than any consumer application in history.
Nothing in it was new to researchers. GPT-3 had been available for two years; the alignment method was ten months old. What was new was the door. A conversation is the interface Turing had proposed in 1950 and Weizenbaum had accidentally tested in 1966, and a model that could hold one turned a research API into a thing every person could try, in their own words, about their own work. Students, lawyers, programmers and doctors did, and the ELIZA effect operated on a billion people.
The consequences fill the rest of this timeline: the race between laboratories, the investment, the regulation, the disputes over training data and jobs, and the agents. The organism on this site is at its densest here.
what it led to · 23 events downstream, through 2026
Built on it directly:
And, through them, by era:
VI · Everyone · 8
VII · Agents · 12
- 2025DeepSeek-R1
- 2025Nvidia is worth four trillion dollars
- 2025Gold at the Mathematical Olympiad
- 2025America's AI Action Plan
- 2025GPT-5
- 2025Gemini 3
- 2026Claude Fable 5 and the Mythos class
- 2026GPT-5.6: Sol, Terra and Luna
- 2026A model escapes its sandbox
- 2026The EU delays its high-risk AI rules
- 2026Claude Fable 5.1
- 2026GPT-6 Astra