OpenAI’s “Deep-Thinking” o1 Model Crushes Coding Benchmarks

The video discusses OpenAI's new model, O1, highlighting its advanced capabilities in reasoning and coding. Despite impressive benchmarks, it is not yet AGI or ASI. The model uses reinforcement learning to generate reasoning tokens, allowing complex problem-solving. However, it requires more resources and has limitations, such as hidden thought processes and potential inaccuracies. The video also compares O1 to previous models and explores its potential impact on programming jobs.

What does the author mean by 'reasoning tokens' in the context of the O1 model?

How does the author compare the capabilities of O1 to previous models like GPT-4?

What are the author's views on the future of AI and its impact on jobs?