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In a significant advancement for the AI industry, OpenAI has officially launched its first set of open-weights models. This marks a crucial step toward transparency and increased developer freedom. The two new models, gpt-oss-20b and gpt-oss-120b, are the company’s first proper open-weights release since GPT-2 in 2019. Previously, developers had to rely on closed systems for AI tools.
These two models are now available for free download and can run directly on any hardware with sufficient memory, including Macs with Apple Silicon. This shift signifies a change in OpenAI’s approach, allowing developers to run AI models locally without the need for servers or APIs.
**OpenAI Unveils Two Open-Weight Models with Reasoning Capabilities, Apache 2.0 License, and macOS Support**
The open-weight language models can be downloaded from [GitHub](https://github.com/openai/gpt-oss), where they are named GPT-OSS. However, these models come with a **Complimentary Use Policy**. While OpenAI is moving away from proprietary tools and enabling tech enthusiasts to run systems locally without an internet connection or server-based API access, it still maintains a cautious approach.
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OpenAI states:
> We aim for our tools to be used safely, responsibly, and democratically, while maximizing your control over how you use them. By using OpenAI gpt-oss-120b and gpt-oss-20b, you agree to comply with all applicable law.
The legal language is clear: although OpenAI is opening its gates, it still complies with the laws. However, beyond this fine print, this step is monumental because these models can run locally on machines with sufficient resources. Developers can build applications without experiencing latency or dealing with surveillance issues since they have complete control over raw, foundational AI.
**Technical Aspects of the Models**
The gpt-oss-20b model has 20 billion parameters and is a dense model, while the gpt-oss-120b model has 120 billion parameters and uses MoE (Mixture-of-Experts) architecture for better computational efficiency and lower inference. Both models were trained on a 1.8 trillion-token dataset that includes licensed resources and publicly available data. With a 128K token context window, they handle complex reasoning and agentic capabilities.
**Community Reactions**
The community’s reactions to this significant step by OpenAI are largely positive. Many AI researchers suggest that OpenAI is focusing on making openness the norm. Noam Brown, a prominent researcher, called this move a step into a multipolar AI ecosystem. Critics noted that OpenAI was late to the open-weights game; tech giants like Meta and Mistral had established strong positions in open access. However, OpenAI’s decision still sends a strong message: it is listening to the developer community and focusing on transparency and access.
**Impact of the Release**
The Apache 2.0 license under which both models are offered gives developers and organizations a permissive license for commercial and research purposes without legal hurdles. This move by OpenAI signals a reimagined AI ecosystem where users can customize and deploy local systems without being tied to prohibitive commercial licenses.
By moving ahead in this domain, OpenAI is putting foundational tools in the hands of the public and not behind a paywall, marking a significant shift in its philosophical and strategic direction. This is a win for empowering researchers and developers in the AI space. While it does not turn the company into an open-source company overnight, it is indeed a welcome move, giving the community hope for the future.
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What are the names of the two new open-weight models launched by OpenAI?
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