Post #2585313
2025-07-29 16:48 UTC
@TobiWanKenobi@kolektiva.social I should add that when my company decided to go all-in on the "AI" thing (and this was a few months before it really hit the headlines) there were some internal conference calls about all the upcoming plans and how we should be trying to apply "AI" everywhere as much as possible.
I'm in engineering, so I half-joked "surely I can't find an application of genAI to calculate stress in a component or design a part!?" and was pretty firmly smacked down for not understanding the difference between LLMs and the "real AI" to be used in our business.
A few years later and I'm constantly shaking my head at the next announced "agentic AI solution" being deployed on our intranet to "help us" on client projects. It's all chatbot, all the time.
Needless to say I know of not a single colleague successfully making use of any of these tools for anything except document summaries etc.
Replies (1)
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@TobiWanKenobi@kolektiva.social 2025-07-29 17:24
@mossman@social.vivaldi.net My biggest boon with this whole marketing thing about self-learning algorithms is not so much their (often lacking) usefulness. I do understand that there are some aspects like pattern recognition to process vast amounts of data which can be a big help in some fields like law, medicine, etc. The problem we all should have with this corporate-driven marketing slop is the huge amounts of energy it requires. Because nowadays more energy means more fossil emissions. And the last thing we need is even more fossil emissions just so that some corporations and the oligarch owners behind them can make even more money for features no one needs.