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submitted 1 year ago by L4s@lemmy.world to c/technology@lemmy.world

Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds. Researchers found wild fluctuations—called drift—in the technology’s abi...::ChatGPT went from answering a simple math correctly 98% of the time to just 2%, over the course of a few months.

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[-] WhatAmLemmy@lemmy.world 28 points 1 year ago

You wildly overestimate the competency of management and the capital owners they answer to.

I guarantee a significant % of entities will grow dependent on AI well before it’s dependable. The profit motive will be too high (source: the frequent failure that is outsourcing).

This is spot on. Source: 10+ years at F500 companies.

Senior management and/or board members read one article in Forbes, or some other "business" publication, and think that they know everything they need to know about an emerging technology. Risk management is either a ☑ exercise or extremely limited in scope, usually only including threats that have already been observed and addressed in the past.

Not enough people understand the limitations of this kind of tech, and contextualize it in the same frame as outsourcing because as long as the output mostly looks correct, the decision makers can push the blame for any issues down to the middle managers and below.

Gonna be a wild time!

[-] TheDarkKnight@lemmy.world 4 points 1 year ago

Definitely not my experience at F100, they are cautious as fuck about everything. Definitely having the right discussions and exploring all sorts of technology, but risk management remains a huge calculation in making these kind of decisions.

[-] assassin_aragorn@lemmy.world 3 points 1 year ago

I think we'll see a very large filtering out of companies who do this.

this post was submitted on 20 Jul 2023
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