Edit: as in like, subscribed feeds. Obviously the feeds would update on both machines but would I need to add each feed to the app twice is what I meant to ask.
Edit: as in like, subscribed feeds. Obviously the feeds would update on both machines but would I need to add each feed to the app twice is what I meant to ask.
In this video, Sam Altman and team introduce OpenAI o3 and o3-mini, showcasing their advanced reasoning capabilities and performance benchmarks compared to earlier models. The session highlights the models' robust accuracy in coding and mathematical tasks, as well as new safety testing initiatives involving community participation. The o3-mini is noted for its cost-efficient performance, while safety strategies are enhanced through deliberative alignment.
## Key Points
### Introduction to o3 and o3-mini models
During the final day of their 12-day event, OpenAI announces two new models: o3 and o3-mini. These models are positioned as advancements in AI reasoning capabilities, following the success of the earlier o1 model.
### Performance benchmarks
The o3 model achieves significant improvements in capabilities, scoring 71.7% on software benchmarks and reaching near-expert levels on competitive math exams. In comparison to o1, it shows over 20% improvement in coding tasks.
### Safety testing initiatives
OpenAI emphasizes safety testing for the new models, opening access for researchers to facilitate public testing. The goal is to ensure models are safe for general use while their capabilities are further validated.
### Introduction of o3-mini
The o3-mini is presented as a cost-efficient alternative to o3, also equipped with strong reasoning powers, allowing adjustable thinking time to optimize performance based on user needs.
### New safety techniques: deliberative alignment
A new safety training technique, deliberative alignment, uses reasoning capabilities of the models to create better safety benchmarks, enhancing the ability to accurately reject unsafe prompts.
### Future developments and availability
The video concludes with information on how to apply for early access to test these models with expectations of full public availability in early 2025, alongside a call for safety researchers to contribute.
https://github.com/uBlockOrigin/uBOL-home