Why Big Tech is giving away open-weight AI models, and what it wants in return | Explained
From Muse Spark Open to Beam, Nemotron and Timestral, technology companies are releasing AI models to attract developers, challenge Chinese rivals and strengthen their ecosystems
Account subscription benefits alongside Premium Stories, Editorials, Opinions and more.
Unlock these with Subscription
The View From India Looking at World Affairs from the Indian perspective.
First Day First Show News and reviews from the world of cinema and streaming.
Today's Cache Your download of the top 5 technology stories of the day.
Science For All The weekly newsletter from science writers takes the jargon out of science and puts the fun in!
Data Point Decoding the headlines with facts, figures, and numbers
THEdge At the cutting edge of education and careers
Health Matters Ramya Kannan writes to you on getting to good health, and staying there
Gender Agenda Stories from beyond the binary.
The Hindu On Books Books of the week, reviews, excerpts, new titles and features.
Updated - October 20, 2026 07:06 pm IST - Chennai
Companies are making models available for different tasks, from writing software and operating AI agents to interpreting images and forecasting time-series data.
File. | Photo Credit: Reuters
Beam.
Muse Spark Open.
Nemotron 3.5 Super VL.
Nemotron 3.5 Bolt 74B-A9B.
Timestral.
These may sound like characters from a science-fiction franchise.
They are, in fact, names of open-weight AI models announced or released by technology companies in the United States and Europe in October.
Reflection AI released Beam’s weights on October 16.
Meta released Muse Spark Open, while NVIDIA made two Nemotron models available, on October 15.
France-based Mistral AI also announced Timestral, a family of models designed for time-series forecasting.
Companies are making models available for different tasks, from writing software and operating AI agents to interpreting images and forecasting time-series data.
But why spend heavily to develop AI models and then allow others to download and adapt them?
If the models are free to download, where does the money come from?
The answer lies in a race to attract developers, shape how AI is used and earn money from the businesses, services and computing infrastructure built around these models.
AI models learn patterns from data during training.
Their trained parameters, called weights, are numerical values that help determine how the models process inputs and generate responses.
Think of an AI model as a chef who has learnt from thousands of recipes.
During training, the model learns patterns that help it decide what ingredients to combine and in what proportions to produce a particular dish.
Its weights are the numerical values that shape these decisions.
Making those weights available is like sharing the chef’s acquired knowledge with other chefs, who can then adapt it to their own needs and create dishes of their own.
Most people access proprietary AI models through websites or apps, while developers may access them through application programming interfaces (APIs).
The provider controls access and often charges for usage.
An open-weight model makes its trained parameters available for download.
Developers can run it on compatible computers or servers, adapt it for particular tasks, or integrate it into their applications.
This can give businesses and individual users greater control over how they deploy and customise AI models, and reduce their dependence on a single provider.
However, open-weight does not automatically mean open-source in the fullest sense.
Full detailed coverage is shown on the council website above. Source attribution: The Hindu – Business.
Back to all council news
