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everyone who downvotes this post are armchair activists. pay them no heed.
LLMs are exceptionally useful as search engines and information collators; the recent daybreak models from OpenAI are actually impressive, they've been finding vulnerabilities in software thats gone unnoticed for years and even decades. the future is computer-assisted-intelligence, whether these armchair activists like it or not.
if your opinions are so vehemently in disagreement with mine, or any others'; then go out and do something about it. don't cry and whine on the internet. write to your local congressmen/senators/prime ministers/etc. go out and sacrifice your comforts for your beliefs, but don't -ever- say that "oh boohoo woe is me, the world is shit and all I can do is whine and cry on the internet".
now with that being said, I personally have found Claude to be exceptionally useful in information collation; with local hardware running abliterated/uncensored/heretic models for information-secure stuff, so that tasks can be set up to run overnight. its been quite the useful tool.
edit: already got sixteen downvotes, LOL
Go back to your mommy's basement and cry over a plate of nuggies and chips lmao
Willful ignorance is the worst ignorance.
Your --number one-- most valuable resource is time. I know exactly how LLMs, and ML in general works. I am under no illusions of "this is the best thing ever", or "we're all gonna die to skynet".
LLMs, and ML in general, have made it so that the average employee no longer spends most of their time doing mundane bureaucracy and documentation. This is objectively a good thing. Instead of spending 2-3 hours drafting and writing a report, you can feed the raw data into an LLM, have it spit out a report according to a pre-prepared boilerplate, and then review it. This task takes Claude on the free tier, maybe a minute; for the super data-heavy stuff. Its' accuracy is also ~99.8% correct, and the human review fixes that ~0.2% in maybe a few minutes after that. We are down from 2-3hours of tedium, to maybe 4 minutes of double-checking. That's a massive time-save.
Modern open-source models can be run on anyone's hardware (at varying levels of speed), making the only benefit of datacenters, as mentioned above, time. If I can offload a task that would take 5 hours to run locally, onto a datacenter rack that completes it in mere seconds, that is a very good trade.
Gave you another downvote, since it seems to upset you so much
lol
lmao, even