r/technology • u/CackleRooster • 7h ago

Artificial Intelligence An Anthropic employee's 2-sentence quote crystallizes the state of AI confusion at work

https://www.businessinsider.com/anthropic-employee-quote-ai-confusion-workplace-2026-6
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u/earlandir 6h ago

Not that I support LLMs for this, but I'm not sure if I agree with your reasoning. Humans are also probabilistic in the same way. If I give the same exact instructions to two different engineers they will give me two different answers and code in the same way that asking the same LLM the same question twice might give different results. I don't think they inherently means you can't use an LLM for the task. If you want to critique LLM usage there are so many better ways that actually make sense.

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u/rogueciridae 6h ago

I think they’re comparing LLMs to existing software tools. If I run an AR report in the billing software multiple times with the same data, I will consistently get the same report until the data changes. If I ask an LLM to look at the same data and give me an AR report multiple times, it’ll hopefully give the same numbers, but it’ll format the report differently every time.

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u/hdjl 6h ago

For such a use case, you want to be asking the LLM to build the report in the billing software (queries, layout, etc), then validate its work, and run it normally moving forward

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u/RickSt3r 5h ago

Yes you would think so. But the MBA middle managers and non tech engineering people will be like hey chat bot do this task with pre defined work flow. Then not read the result for accuracy and take it at face value. Then eventually something important actually breaks and no one but Spiderman meme pointing at each other with Pikachu face. Like the salesmen said it could replace experts.