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Peter Norvig 2025-12-23 12:45:27 -08:00 committed by GitHub
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ipynb/Advent-2025-AI.ipynb
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@ -23,6 +23,7 @@
"- *I'm beginning to think I should use an LLM as an assistant for all my coding, not just as an experiment like this.*\n",
"- *This is a huge improvement over just one year ago, when LLMs could not perform anywhere near this level.*\n",
"- *The three LLMS seemed to be roughly equal in quality.*\n",
"- *I neglected to track the time it took them to produce the code, but it was a lot faster than me–maybe 20 times faster.*\n",
"- *The LLMs knew the things you would want an experienced software engineer to know:*\n",
" - *How to see through the story about elves and christmas trees, etc. and get to the real programming issues*\n",
" - *Standard Python syntax, builtin types, and basic modules (e.g. `collections`, `functools`, `typing`, `numpy`)*\n",
@ -3955,7 +3956,7 @@
"\n",
"*The human-written code is about **five times more concise** than the LLM code.*\n",
"\n",
"*The LOC numbers are total lines of code, including blank lines, comments, doc strings, and the line to make the call to compute the answer. For the human-written code, I count the parsing code against Part 1.*"
"*The LOC numbers are total lines of code, including blank lines, comments, and doc strings.*"
]
},
{
@ -3991,14 +3992,6 @@
" | **TOTAL** | | **1732** | **356** | | \n",
" | **MEAN** | | **75** | **14.5** | |"
]
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