There are, for two years already when OpenAI released o1-preview:
From wikipedia: "large language models that are trained to solve tasks that require several steps of reasoning. They tend to do better on logic, math, and programming tasks than standard LLMs, can revisit and revise earlier steps, make use of extra computations, and enhance performance when increasing the number of parameters, training examples, and training computations."
There are none. Claims and the truth can be different things, you know?
See the research on that - all the "reasoning" is is just back-rationalization.
There are, for two years already when OpenAI released o1-preview:
From wikipedia: "large language models that are trained to solve tasks that require several steps of reasoning. They tend to do better on logic, math, and programming tasks than standard LLMs, can revisit and revise earlier steps, make use of extra computations, and enhance performance when increasing the number of parameters, training examples, and training computations."
There are none. Claims and the truth can be different things, you know? See the research on that - all the "reasoning" is is just back-rationalization.