[epolanski]

I don't see it discussed very often, maybe because we're tech-companies concentrated here, but I can tell you 100% that in Italy-Poland, every single 100+ people non-IT company is aggressively pushing AI down their employees.

In Italian banking and insurance companies it's all about writing Gemini "gems" (essentially custom agents) and leveraging NotebookLM, occasionally Microsoft Copilot. Every innovation department out there is all about promoting and bonusing employees that can show the best savings in time and efficiency through LLMs.

So far I'm not seeing much success, because the people shoving those are mostly clueless about what LLMs are good at, they are desperately looking to be able to show that "anything" went from X hours of effort to X/2 or better and this pressure more often than not is alienating most employees, not because they don't appreciate AI, but because atm it's mostly an _additional_ task on top of their already existing work.

I myself, as an independent consultant I'm tasked by all my clients to automate and automate and bring the tools as close as possible to stakeholders, effectively making myself redundant at least on the software side (albeit I like to think not on the engineering and processes one, which is why I have the same clients since 2022...).

[altmanaltman]

Isn't this superbly stupid, though? Like if the users don't even know how LLMs work or what they are good at, why are they being forced to find new ways? Is it just FOMO? Surely a better way would be to allow expert researchers/app developers create AI apps that work for niche use-cases and have domain-appropriate guardrails etc, right? And then everyone (including non technical people) can use it and improve productivity or whatever

It's like forcing someone who has never driven a car to figure out how to make it go faster

[re-thc]

> Like if the users don't even know how LLMs work or what they are good at, why are they being forced to find new ways?

Same happened with crypto. Every financial institution was doing or trying to do some blockchain thing. 90% or more failed.

Just how it is.

[HeavyStorm]

Not really. Many departments have little access to IT and now have this opportunity to automate things by themselves.