32 summarised stories about Open-Weight Models, each linking back to the original source. Browse all topics →
OpenAI Blog 8 months ago ● 2 sources
OpenAI released gpt-oss-safeguard, an open-weight model designed to classify content safety issues and let developers implement custom safety policies. The model is available as open weights, enabling developers to run it locally and adapt it to their specific safety requirements. Developers can now build customized content moderation systems without relying on closed APIs or OpenAI's default policies.
OpenAI Blog 8 months ago ● 2 sources
Two open-weight reasoning models, gpt-oss-safeguard-120b and gpt-oss-safeguard-20b, were developed by post-training gpt-oss models to apply provided safety policies for content labeling. The models come in 120 billion and 20 billion parameter sizes. The technical report establishes baseline safety evaluations comparing the new safeguard models against their underlying gpt-oss predecessors.
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22 July 2026
Synthesia's pivot from avatar-powered videos to interactive performance coaching marks a fundamental shift in how enterprise AI is being monetized. The company's new Roleplay Sessions product lets employees practice high-stakes conversations with AI avatars that score and critique their performance—a move that positions Synthesia not as a content-generation tool but as a measurable business outcomes platform, now serving a top-three European company and a Fortune 100 firm. The strategy reflects a broader market reality: generic AI tools are struggling, and the money flows toward platforms that prove ROI through concrete performance metrics.
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