Honestly don’t even know what llms are doing amymore.
I used my works co pilot to find a list of format agnostic mac addresses in a table, it said it found all but one, then said “actually no, they are all here, here are the full results.”
I have found exactly one use case so far that an LLM and almost no other tool is suited for.
I was given a list of some 20000 businesses info for marketing and they all have categories. There were a total of 400 categories. Each one needed what amounted to a “vibe score” based on how relevant it was to our business.
Sure, it might have a few wrong, but for the occasional wrong one, worst case is a bad contact. Dramatically faster than doing it by hand and likely better at generating the scores with less bias than a human.
I hated the entire process and the fact that the results were a resounding success.
LLMs are a tool just like any other. There are tasks they can be useful, and others that they’re not.
The problem is that corporations and others are trying to force it down our throats in every single place as possible in their maddening quest to get a return in their investments.
Respectfully disagree. It’s because of the systematic insistence that we need to build data centers to support a demand that doesn’t exist.
Same thing would happen if corporations lost their minds over hammers and insisted we had to build hammer factories everywhere and sell hammers to stirr your coffee.
Honestly don’t even know what llms are doing amymore.
I used my works co pilot to find a list of format agnostic mac addresses in a table, it said it found all but one, then said “actually no, they are all here, here are the full results.”
They sucked up 4chan
They call it reasoning
I have found exactly one use case so far that an LLM and almost no other tool is suited for.
I was given a list of some 20000 businesses info for marketing and they all have categories. There were a total of 400 categories. Each one needed what amounted to a “vibe score” based on how relevant it was to our business.
Sure, it might have a few wrong, but for the occasional wrong one, worst case is a bad contact. Dramatically faster than doing it by hand and likely better at generating the scores with less bias than a human.
I hated the entire process and the fact that the results were a resounding success.
LLMs are a tool just like any other. There are tasks they can be useful, and others that they’re not.
The problem is that corporations and others are trying to force it down our throats in every single place as possible in their maddening quest to get a return in their investments.
They are a tool but they aren’t really like any other. They’re only rarely useful and have massive negative externalities.
Respectfully disagree. It’s because of the systematic insistence that we need to build data centers to support a demand that doesn’t exist.
Same thing would happen if corporations lost their minds over hammers and insisted we had to build hammer factories everywhere and sell hammers to stirr your coffee.