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← All living questionsONGOING QUESTION / Open intelligence

What changes when powerful models become open-weight?

Who can inspect, adapt and build, and which material and governance constraints remain.

These are editorial connections, not a chain of causation or a shared score of progress.

Open the recipe.

Weights, code, data and licenses are different kinds of openness. Start with a model whose recipe is visible.

Read · OLMo 2

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The evidence so far

DISCOVERY

An open reasoning model with its recipe beside it.

NVIDIA released Nemotron 3 Super, an open 120-billion-parameter mixture-of-experts reasoning model with 12 billion active parameters, plus stated releases of its methodology, data, reinforcement-learning environments, and evaluation recipes.

Source published 2026-03-11 · Deployed
DISCOVERY

A world-class forecast now fits on one machine.

Weather forecasting has spent fifty years as one of the largest users of supercomputing. AI models trained on the archive now produce comparable global forecasts in minutes, and the weights are published. The measurements they depend on are the part that has not become cheap.

Source published 2025-12-17 · Deployed
DISCOVERY

Reasoning weights people can run themselves.

OpenAI released gpt-oss-120b and gpt-oss-20b as Apache-2.0 open-weight reasoning models, with downloadable weights and reference implementations for local deployment.

Source published 2025-08-05 · Deployed
DISCOVERY

Choosing when a model thinks longer.

The Qwen team released and described Qwen3, a family of dense and mixture-of-experts language models with selectable thinking and non-thinking modes.

Source published 2025-04-29 · Deployed
DISCOVERY

Reasoning models with more of the toolkit in view.

NVIDIA announced the Llama Nemotron Nano and Super reasoning models, alongside plans to make the post-training tools, datasets and optimization techniques openly available.

Source published 2025-03-18 · Emerging
DISCOVERY

A model whose full recipe is visible.

Ai2 released OLMo 2 32B, a language model accompanied by publicly available data, code, weights, training details, and a reproducible training recipe.

Source published 2025-03-13 · Demonstrated
EXPERIENCE

Someone builds on it

Repack measured open weights, trace declared adaptation, unfold ancestry and inspect a thousand captured repository signals.

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