DeepSeek challenges OpenAI’s o1 in chain of thought – but it’s missing a few links [Video]

Consider a train leaving Chicago traveling west at seventy miles an hour, and another train leaving San Francisco traveling east at eighty miles per hour. Can you figure out when and where they’ll meet?

It’s a classic grade school math problem, and artificial intelligence (AI) programs such as OpenAI’s recently released “o1” large language model, currently in preview, will not only find the answer but also explain a little bit about how they arrived at it. 

The explanations are part of an increasingly popular approach in generative AI known as chain of thought.

Although chain of thought can be very useful, it also has the potential to be totally baffling depending on how it’s done, as I found out from a little bit of experimentation.

Also: OpenAI expands o1 model availability – here’s who gets access and how much

The idea behind chain-of-thought processing is that the AI model can detail the sequence of calculations it performs in …