Just a reminder that the previous article said that they are rehiring them not because humans are better at the job but because they rushed to fire them too fast, without using those people to train the computers first.
They will soon learn that AI is actually more expensive to use than humans, when the AI companies are forced to raise prices in a frantic attempt to cover the actual costs of using and building datacenters.
Just a reminder that the previous article said that they are rehiring them not because humans are better at the job but because they rushed to fire them too fast, without using those people to train the computers first.
They will soon learn that AI is actually more expensive to use than humans, when the AI companies are forced to raise prices in a frantic attempt to cover the actual costs of using and building datacenters.
Right, but not before they try to fire people again, fafo cycle continues!
For this specific case they want to train local smaller models I think, like we didn’t have that before the llm boom
This is just the narrative they use to rationalize treating their workers worse, it need not and does not have any connection to reality.