Researchers at Stanford University say they have found strong evidence that Large Language Models (LLMs) are hitting entry-level jobs the hardest, especially for younger workers.
Programming isn’t about syntax or language.
LLMs can’t do problem solving.
Once a problem has been solved, the syntax and language is easy.
But reasoning about the problem is the hard part.
Like the classic case of “how many 'r’s in ‘strawberry’”, LLMs would state 2 occurrences.
Just check googles AI Mode.
The strawberry problem was found and reported on, and has been specifically solved.
Promoted how many 'r's in the word 'strawberry':
There are three 'r’s in the word ‘strawberry’. The letters are: S-T-R-A-W-B-E-R-R-Y.
Prompted how many 'c's in the word 'occurrence':
The word “occurrence” has two occurrences of the letter ‘c’.
So, the specific case has been solved. But not the problem.
In fact, I could slightly alter my prompt and get either 2 or 3 as the answer.
Programming isn’t about syntax or language.
LLMs can’t do problem solving.
Once a problem has been solved, the syntax and language is easy.
But reasoning about the problem is the hard part.
Like the classic case of “how many 'r’s in ‘strawberry’”, LLMs would state 2 occurrences.
Just check googles AI Mode.
The strawberry problem was found and reported on, and has been specifically solved.
Promoted
how many 'r's in the word 'strawberry':Prompted
how many 'c's in the word 'occurrence':So, the specific case has been solved. But not the problem.
In fact, I could slightly alter my prompt and get either 2 or 3 as the answer.
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