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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.

Explore the Open Models destination ↗

Compare the artifacts, understand the memory, and follow what people build from released weights.

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

Your AI doesn’t have to live on someone else’s computer ↗

Downloadable models can handle some everyday tasks on a device you own. That gives people a new choice about their prompts. Artists’ consent, land-use decisions and electric bills raise different questions.

Source published 2026-10-09 · Emerging
DISCOVERY

Your AI conversation feels private. Where it runs matters. ↗

A chatbot can make it easy to think out loud. The harder question is who else can access those thoughts. For people exploring personal questions, working through an unfinished idea or handling confidential material, where an AI runs is a practical privacy choice.

Source published 2026-09-30 · Emerging
DISCOVERY

NVIDIA adds an independent safety layer for AI agents. ↗

AI agents can write code, use tools and keep working long after a person steps away. NVIDIA’s September 28 Open Agent Safety Platform launch puts permission controls outside the agent’s workload and offers a separate hardware-backed watchdog. The aim is to give people stronger control over what agents can reach; the launch does not establish that agents are now safe in every setting.

Source published 2026-09-28 · Emerging
DISCOVERY

An open model learns the Moon's surface. ↗

NASA and IBM released a Lunar Foundation Model trained primarily on Lunar Reconnaissance Orbiter data for research tasks such as crater and volcanic-feature mapping and possible polar-ice analysis.

Source published 2026-09-10 · Emerging
DISCOVERY

A speech benchmark begins to listen beyond English. ↗

Hugging Face and Voice Arena added Hindi and Indian English evaluation to an open speech-recognition leaderboard with held-out/private splits and demographic and geographic test design.

Source published 2026-08-28 · Emerging
DISCOVERY

A year of satellite observation, made lighter to carry. ↗

TESSERA provides 10-meter, pixel-wise annual embeddings learned from Copernicus Sentinel-1 and Sentinel-2. ESA says the model first launched in 2025; its repository and a peer-reviewed CVPR 2026 paper now document the work.

Source published 2026-06-04 · Demonstrated
DISCOVERY

Simulating a scene before a robot enters it ↗

Cosmos 3 provides downloadable omnimodal world-model variants that can process or generate combinations of text, images, video, audio, and action sequences for physical-AI research.

Source published 2026-05-31 · Experimental
DISCOVERY

An Earth model runs above the Earth. ↗

A compressed NASA–IBM Prithvi geospatial model ran on the Kanyini satellite and the ISS IMAGIN-e payload in flood and cloud detection demonstrations.

Source published 2026-05-07 · Experimental
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

Explaining a novice programmer's compiler error ↗

Researchers fine-tuned compact downloadable language models to explain C compiler errors using examples derived from real introductory-programming mistakes.

Source published 2025-07-07 · Demonstrated
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

A security model for a SOC's own evidence ↗

Foundation-Sec-8B is a cybersecurity-focused Llama 3.1 derivative that organizations can download and adapt for security operations work involving their own alerts, cases, and threat knowledge.

Source published 2025-04-28 · Emerging
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
DISCOVERY

Proposing materials for a desired property ↗

MatterGen generates candidate inorganic crystal structures while conditioning on properties a researcher wants, changing the starting point from searching a known catalog to proposing structures for testing.

Source published 2025-01-16 · Demonstrated
DISCOVERY

Adapting one Earth model to many maps ↗

Prithvi-EO-2.0 is a geospatial foundation model that can be adapted to Earth-observation tasks such as flood mapping, crop classification, and land-use analysis.

Source published 2024-12-03 · Demonstrated
DISCOVERY

Assembling biological model workflows ↗

BioNeMo brings biological foundation models and training components into one framework for protein, molecular, and drug-research experiments.

Source published 2024-11-15 · Emerging
DISCOVERY

Teaching a robot from demonstrations ↗

OpenVLA gives robotics teams a pretrained vision-language-action model plus instructions for fine-tuning it on their own robot demonstrations.

Source published 2024-06-13 · Experimental
DISCOVERY

Adapting one robot policy across nine platforms ↗

Octo is a generalist manipulation policy trained on the Open X-Embodiment dataset and evaluated as a reusable starting point for robots with different sensors, action spaces, and physical forms.

Source published 2024-05-20 · Demonstrated
DISCOVERY

Adapting a code model to a private codebase ↗

StarCoder2 offers several downloadable code-model sizes plus fine-tuning and evaluation examples for local completion and generation experiments.

Source published 2024-02-29 · Emerging
DISCOVERY

Sketching music from words and melody ↗

MusicGen generates music from a text description and can use an input melody as an additional condition, providing a downloadable tool for research and creative prototyping.

Source published 2023-06-08 · Experimental
DISCOVERY

SAM 1: selecting an object with a point or a box ↗

The original 2023 Segment Anything release, now commonly called SAM 1, turns a click, box, or rough mask into an object segmentation, giving annotators and analysts an editable first pass across varied images.

Source published 2023-04-05 · Demonstrated
DISCOVERY

Predicting a protein’s shape from its sequence ↗

ESMFold applies a protein language model to infer three-dimensional structure directly from an amino-acid sequence, with checkpoints and bulk prediction tools available to researchers.

Source published 2023-03-16 · Demonstrated
DISCOVERY

Transcribing speech on infrastructure you control ↗

Whisper provides downloadable speech-recognition models for transcription, language identification, translation into English, and caption-making without requiring a hosted speech service.

Source published 2022-09-21 · Demonstrated
DISCOVERY

Adapting an image model to a visual practice ↗

Stable Diffusion's downloadable latent-diffusion weights and adaptation code allowed artists and developers to build local image generation, inpainting, fine-tuning, and LoRA workflows.

Source published 2022-08-22 · Demonstrated
DISCOVERY

A local visual-inspection workbench ↗

Anomalib packages multiple anomaly-detection methods into a modular library for finding and localizing unusual regions in inspection images, with paths from experiments to optimized edge inference.

Source published 2022-02-16 · Experimental
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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