cross-posted from: https://lemmy.world/post/44699253
This is clearly a sign that the product failed to draw in enough customers and its viability was overhyped.
Hopefully, it is the start of the AI bubble bursting.
cross-posted from: https://lemmy.world/post/44699253
This is clearly a sign that the product failed to draw in enough customers and its viability was overhyped.
Hopefully, it is the start of the AI bubble bursting.
It’s so they can repurpose that capacity for developing robots. It’s not good at all.
Robots aren’t like software, it’s immediately obvious when they don’t work the way they’re advertised whereas chatbots can trick people into thinking they’re way more useful than they actually are. The “fake it till you make it” “move fast and break things” ethos of tech doesn’t work when there’s actual, physical evidence that shit’s busted.
Unpopular Opinion Incoming
I was assigned at work to evaluate a few LLMs for potential adoption, so I spent a solid week doing so.
Most of the “AI is broken and doesn’t work” on here is solid echo chamber cope. It’s more competent than several of my coworkers, though it’s thankfully not ready to replace knowledge workers as it requires a knowledge baseline to best direct it and evaluate its answers.
I still advised against using it for multiple reasons, including ethics, but much of Lemmy is playing make believe about the actual capabilities of LLMs.
Cool anecdote. Every time we actually see real data, though, the numbers don’t reflect much in the way of productivity gains or increased efficiency or better output. People say that LLMs are useful because it feels useful, but we aren’t seeing actual usefulness. The most recent study out of Duke University observes “a productivity paradox, in which perceived productivity gains are larger than measured productivity gains, likely reflecting a delay in revenue realizations.”
A delay. Sure.
Mind telling us what it is that you do? I heard similar things being said in the Plain English podcast last week (and the host was pretty anti-AI before) and I’m starting to wonder if certain jobs are going to be more affected than others.
Or are your coworkers just bad at what they do? :P When I was working tech support, there were people that were worse at their jobs than the bots of the time, let alone LLMs, I swear.
Correct, thought there is still good news in a way: OpenAI is running out of money rapidly. So much so, that they have to pick and choose one thing over the other.
They would have done the robot thing anyways, but the fact that they had to shut something else down for it sbows that the massive deficit is starting to affect them pretty heavily.
Maybe im just coping, but imo, the cracks are getting bigger and bigger.