OpenAI Finally Goes Open-Source: 120B & 20B Models

Introducing the two new open worldweight models from OpenAI: one with 120 billion parameters and the other with 20 billion parameters. Discussing the hardware requirements and accessibility of these models.

Exploring the models' design and their capabilities for agentic tasks, coding, tool usage, and reasoning efforts. Highlighting the open access and control over reasoning efforts.

Discussing the similarities and differences between the new open weight models and previous models like O4 and O3 series. Emphasizing the increased access and control offered by the new models.

Analyzing the performance of the models, including benchmarks compared to GPT-4 mini and other examples. Addressing the safety foundation and the delayed release for safety considerations.

Recognizing the contributions of major players in the open-source space like Olama, Llama, CPP, and LM Studio. Discussing the engagement with the community through API providers and safety challenges.

Exploring the model specifications, usage on local machines, and fine-tuning processes. Highlighting the detailed blog posts and collaborative efforts with partners like hugging face.

Detailing the safety measures implemented in the models and the community engagement through a prize fund for identifying safety issues. Discussing the importance of ensuring safe usage and contributions from experts.

Exploring the significance of open weight models in fostering innovation and enabling safer AI development. Speculating on potential releases from other companies like Google and the bright future for open weight models.

Testing the 20 billion model's response time and capabilities. Demonstrating a chat interaction with the model to showcase its architecture and task flexibility.