| ▲ | danielvaughn 4 hours ago | |||||||||||||||||||
We're in a dangerous valley where AI is _just_ good enough to fool some otherwise very smart people. Similar to the old adage of "a little bit of information is a dangerous thing." Lots of CEOs got duped into thinking that model capabilities were far ahead of where they actually were. I'm actually not sure if we're going to get out of the valley without figuring out a surefire way to reliably evaluate these things. | ||||||||||||||||||||
| ▲ | solid_fuel 2 hours ago | parent | next [-] | |||||||||||||||||||
> Lots of CEOs got duped into thinking that model capabilities were far ahead of where they actually were. Are these CEOs the "very smart people" you're talking about? To my eyes it's mostly the same crowd that was drooling over crypto and blockchain and the metaverse just a few years ago, and it was clear that was a stupid idea at the time too. | ||||||||||||||||||||
| ▲ | gortok 3 hours ago | parent | prev | next [-] | |||||||||||||||||||
They got duped into it partly because of the enthusiasm and demoware shown by folks like the ones that topped HN with their exhortations about the wonders of AI for coding. We’re not innocent bystanders here, and it’s important to recognize that. Our hype added to the hype. Our optimism added to the optimism. After layoffs due to Section 172 and interest rates going up, technologists were looking for a reason to be in-demand again, and generative AI as a platform specialization provided that. We can’t now criticize CEOs for being taken in by the same enthusiasm we pushed for our own purposes. | ||||||||||||||||||||
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| ▲ | mikgp 4 hours ago | parent | prev | next [-] | |||||||||||||||||||
I have a theory there’s a more nefarious problem that AI changes the incentives around what work is easy to do, in a way that can affect how work hits the bottom line. Aside from the slop problem- people create more documentation more people have to read, etc. it makes it easier for me to say do a bunch of bug fixes or refactors that aren’t in the critical path. So even if in say 100 person engineering out 10 folks might get 2-3x critical path work. 50 folks Might just add non-critical path work, and the other forty might use it in a way that they end up doing g less critical path work. But depending on your metrics productivity could look up while the bottom line is unaffected. In which case model quality is a red herring. | ||||||||||||||||||||
| ▲ | asadotzler 2 hours ago | parent | prev [-] | |||||||||||||||||||
AI is a bullshit artist's wet dream. It's bluffing turned up to 11, plausible enough to be believable, especially to the gullible and the greedy who are both succumbing to its psychotic effects. | ||||||||||||||||||||