NEXUS
Initializing intelligence
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NEXUS
The story so far

Scroll down. The story unfolds horizontally — five chapters, eighty years, and a future still being written.

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Chapter 01
Origins
1943 — 1980

The dream is born.

McCullough & Pitts draw the first artificial neuron. Turing asks 'can machines think?' The first perceptrons learn. Then winter sets in — funding evaporates, expectations cool. But a small group keeps the flame alive in universities and back rooms.

NEXUS Archive · 01/05
Chapter 02
Machine Learning
1980 — 2010

The slow awakening.

Backpropagation revives neural networks. Support vector machines, decision trees, the rise of statistical learning. The web explodes, generating oceans of data. GPUs turn out to be the perfect substrate. Something is stirring.

NEXUS Archive · 02/05
Chapter 03
Deep Learning
2012 — 2017

The breakthrough.

AlexNet crushes ImageNet. Speech recognition crosses the human threshold. AlphaGo defeats a world champion. DeepMind, OpenAI, and a Cambrian explosion of labs push the frontier at an exponential pace. The world starts to pay attention.

NEXUS Archive · 03/05
Chapter 04
Foundation Models
2017 — 2023

The transformer moment.

Attention is all you need. GPT, BERT, T5, PaLM, LLaMA — the era of the foundation model. A single network, scaled, can do almost anything. Multimodal. Multilingual. Multi-task. A Cambrian explosion of capability.

NEXUS Archive · 04/05
Chapter 05
AGI
2024 — ∞

The age of intelligence.

Reasoning models pass the bar exam, code at expert level, generate feature films. We are entering an era where intelligence is a utility — abundant, ambient, available on tap. The next chapter is being written right now, by all of us.

NEXUS Archive · 05/05
End of chapter

The story continues with you.

Every chapter from here on is written by the people who build with NEXUS.

Why it matters

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