I think you are confused about what thread you are in.
Have you read the original article?
Here's a quote:
"I added this to Mimi's system prompt:
If you are asked to count the number of letters in a word, do it by writing a python program and run it with code_interpreter."
This article was released before o1, it's not the topic. The solution was just adding a system prompt and executing the python script generated, in order to solve the strawberry problem. It wasn't solved by increasing compute time, unless you count the inference from the extra system prompt tokens.
Er, yes - I read the original article... which is how I know "This article was released before o1, it's not the topic" is false on both count. The first paragraph of said article lays that out:
> Recently OpenAI announced their model codenamed "strawberry" as OpenAI o1. One of the main things that has been hyped up for months with this model is the ability to solve the "strawberry problem". This is one of those rare problems that's trivial for a human to do correctly, but almost impossible for large language models to solve in their current forms. Surely with this being the main focus of their model, OpenAI would add a "fast path" or something to the training data to make that exact thing work as expected, right?
and is preceded by a date, 09/13/2024, which is the same day this HN thread was created. o1 was announced and released the day prior to both.
Have you read the original article?
Here's a quote:
"I added this to Mimi's system prompt:
If you are asked to count the number of letters in a word, do it by writing a python program and run it with code_interpreter."
This article was released before o1, it's not the topic. The solution was just adding a system prompt and executing the python script generated, in order to solve the strawberry problem. It wasn't solved by increasing compute time, unless you count the inference from the extra system prompt tokens.