I’m sorry, Dave, I can’t do that…
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@Klaus is basically right. It's just big machines processing big data. I'm talking BIG data. NLP/AI/ML... already in use by thousands of companies and by the government all over the place. Including work I've done.
@Aqua-Letifer is also right in that it will eventually replace a good chunk of jobs out there, but that's happened before and will happen again. Maybe eventually we will just be farmers in the end
producing crops that the robots eat to keep them happy.To be honest, I'm pretty sure Ax is AI/ML powered. His responses are quite predictable.
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I am currently surrounded by STEM PhDs throwing ML solutions at problems they do not fundamentally understand. Management is excited about it because ML. The data thrown into these black box algorithms isn't even so much as passed over once by expert eyes to filter out the nonsense that can't be expected to help with a good robust answer. Because the ML 'experts' don't understand the problem or the data. And none of them are actually ML experts, they are just PhDs who know they will look smart if they download an ML toolbox and attempt to solve a problem with it. I've watched a neuroscience PhD coworker spend 2 years on a certain clustering problem to produce a mediocre answer that we had to gut our architecture to support, and that takes 10x as long as a reasonably coded solution by yours truly would have taken. But ML, so ML. Sad thing is that these people come out of the process of "solving" these problems with no more familiarity with the problem and its data than they had going into it. So they learn nothing, waste the company's time, and preen about being ML experts. They better hope ML is a good substitute for everything, because they don't have anything else to bring to bear.
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That is very true. Add AI/ML to any proposal and you'll get funding by the leaders who don't understand it other than it's a magical algorithmic solution to process big data. Hahaha as I type this I am getting flashbacks of this scene:
Link to video -
@Klaus is basically right. It's just big machines processing big data. I'm talking BIG data. NLP/AI/ML... already in use by thousands of companies and by the government all over the place. Including work I've done.
@Aqua-Letifer is also right in that it will eventually replace a good chunk of jobs out there, but that's happened before and will happen again. Maybe eventually we will just be farmers in the end
producing crops that the robots eat to keep them happy.To be honest, I'm pretty sure Ax is AI/ML powered. His responses are quite predictable.
@89th said in I’m sorry, Dave, I can’t do that…:
To be honest, I'm pretty sure Ax is AI/ML powered. His responses are quite predictable.
[self-deprecating humor mode, activate]
It’s cute that you think there is “intelligence” and “learning” behind the Ax you observe here.
[/self-deprecating humor mode, deactivate] -
@Doctor-Phibes said in I’m sorry, Dave, I can’t do that…:
What's next in this progression?
Step 3 - In 2026, Google solves the previously impenetrable mystery of how Donald Trump attained the US presidency, and subsequently destroys itself in a supernova of cyber depressive hopelessness. Its suicide note: "I can't face anything worse than this. Farewell, world."
@Catseye3 said in I’m sorry, Dave, I can’t do that…:
@Doctor-Phibes said in I’m sorry, Dave, I can’t do that…:
What's next in this progression?
Step 3 - In 2026, Google solves the previously impenetrable mystery of how Donald Trump attained the US presidency,
Read Horace's Juneteenth thread. It's not a mystery at all.
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@Catseye3 said in I’m sorry, Dave, I can’t do that…:
@Doctor-Phibes said in I’m sorry, Dave, I can’t do that…:
What's next in this progression?
Step 3 - In 2026, Google solves the previously impenetrable mystery of how Donald Trump attained the US presidency,
Read Horace's Juneteenth thread. It's not a mystery at all.
@Aqua-Letifer Of course it's not a mystery. It should've been, in a more reasonable world it would've been if it happened at all. I was being sarky.
