this post was submitted on 11 Jun 2025
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But an LLM as a node in a framework that can call a python library should be able to count the number of Rs in strawberry.
It doesn't scale to AGI but it does reduce hallucinations.
You'd still be better off starting with a 50s language processor, then grafting on some API calls.
Isn't how these systems are configured. They're just not that sophisticated.
So much of what Sam Alton is doing is brute force, which is why he thinks he needs a $1T investment in new power to build his next iteration model.
Deepseek gets at the edges of this through their partitioned model. But you're still asking a lot for a machine to intuit whether a query can be solved with some exigent python query the system has yet to identify.
It has to scale to AGI, because a central premise of AGI is a system that can improve itself.
It just doesn't match the OpenAI development model, which is to scrape and sort data hoping the Internet already has the solution to every problem.
The only thing worse than the ai shills are the tech bro mansplainaitions of how "ai works" when they are utterly uninformed of the actual science. Please stop making educated guesses for others and typing them out in a teacher's voice. It's extremely aggravating