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submitted 4 days ago by [email protected] to c/[email protected]
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[-] [email protected] 28 points 3 days ago

Does anyone here actually see productivity improvements to their roles from using AI?

I'm a telecoms engineer and I see limited use cases in my role for AI. If I need to process data then I need something that can do math reliably. For document generation I can only reliably get it to build out a structure and even then I've more than likely got an existing document the I can use as a structure template.

Network design, system specification and project engineering are all so specific to the use case and have so few examples provided in public data sets that anything AI outputs is usually nonsense.

Am I missing some use cases here?

Also, if you do see productivity improvements from AI, why would you tell your employer? They want a 5 day working week but they know what they expect to be achieved in that week, so that's what they get.

[-] [email protected] 20 points 3 days ago

Does anyone here actually see productivity improvements to their roles from using AI?

Unless you're a scammer or a spammer, the answer is legitimately "No".

[-] [email protected] 8 points 3 days ago

My gut feeling, based on the kind of repetitive nonsense I see them produce and bang on about, is that a lot of management types see AI efficiency because the work they do is repetitive and easily aided by AI input so they assume everything can be improved by it.

Not to say I don't see the benefits of a good manager, I just don't think they are that common.

[-] [email protected] 3 points 3 days ago

That perspective is consistent with the code completion suggestions I get all the time.

LLM seems to think I really want to just rewrite the same 12 lines of code over and over again instead of calling the function where I wrote those 12 lines of code already.

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this post was submitted on 25 Jun 2025
1650 points (99.3% liked)

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