Summary
The video introduces Horizon, a new mystery model from OpenAI tested on OpenRouter. It discusses Horizon's technical details, such as token counts, context window, and performance, comparing it to the GPD4 series models. The Horizon model features include Gemini 2.5 deep think, customization prompts, and instructions for different sizes and tasks. Challenges faced by the model, real-world applications, limitations, and speculations on its parameters and potential licensing are also explored, alongside comparisons with other AI models in the industry.
Introduction to Horizon Model
Introducing the new mystery model called Horizon on OpenRouter, allegedly the open weight model from OpenAI. The video shows outputs created and discusses leaks about the model's size and capabilities.
Details of Horizon Model
Discussing the release of Horizon, a model tested by users on Open Router, with technical details such as token counts, context window, and performance. Comparison with GPD4 series models.
Impressive Features of Horizon Model
Exploring the capabilities of the Horizon model, including features like Gemini 2.5 deep think, additional prompts for customization, and instructions for different sizes and tasks.
Implementation of Website and UI
Demonstrating the implementation of a SAS website and landing page using the model, showcasing animations, functionality, and error handling. Switching between dark and light modes.
Challenges and Failure Cases
Discussing challenges faced by the model, such as solving complex prompts like bouncing balls or falling letters. Exploring potential real-world applications and limitations of the model.
Speculations and Discussion on Open Weight Model
Speculating on the leaked open weight model from OpenAI, its parameters, architecture, and potential licensing. Comparing with other AI models in the industry.
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