The Role of Open Source and Open Weight Models in the Artificial Intelligence Sector

The monopoly of closed-source models in the artificial intelligence industry is being shaken by open systems developed by players such as Meta, DeepSeek, and Alibaba. Open-weight and open-source models provide flexibility to businesses and national sovereignty.

The Rise of Open Artificial Intelligence Models

Following OpenAI's ChatGPT model, open systems developed by companies such as Meta, Mistral, and DeepSeek have broken the proprietary artificial intelligence monopoly. Research firm SemiAnalysis states that the time it takes for open-source models to catch up to closed-source models with every generation is accelerating.

The Difference Between Open-Weight and Open-Source Models

The most widely used among businesses are open-weight models. These models allow companies to audit and adjust artificial intelligence according to their internal requirements. However, according to Open Source Initiative rules, a truly open-source model also transparently shares its training data.

Advantages Provided for the Business World

General-purpose closed models can be unnecessarily costly and complex for many corporate workflows. Businesses prefer open models that can be trained with their own proprietary data and run in-house, independently of the cloud.

Open models enable the auditing of tools and increase accountability while also allowing companies to keep their data under control.

Digital Sovereignty and Regional Solutions

Open models help countries adapt artificial intelligence to local traditions, policies, and regional regulations. Countries such as Germany, France, India, and China encourage the adoption of open models.

Disadvantages and Risks of Open Models

Although open models provide flexibility, deployment, maintenance, and updates are generally the responsibility of businesses. Models that are not fully audited can also bring along new security risks, such as the leakage of confidential information.