A new “back to the their roots” fast and furious movie. Instead of A/V gear it’s GPUs this time
I don’t think the article is saying the business tactic is novel. It’s pointing out that they are having trouble executing it. Being stuck for 6 months trying to distribute $38B worth of debt is not a good indicator, especially as the AI world is still full steam ahead on generating more of this type of debt.
You underestimate how many people have just forgone the usage of search engines. Most people these days just go to their preferred AI site or app and just take at face value whatever slop it spits out. No one reads or verifies anymore. It would be something if they were using that “saved time” on something productive but alas it’s just to go back to doom scrolling or something else just as meaningless. It’s depressing :/
To add to your points, LLMs are also not free of biases that the poster above and others have to deal with. The same medical biases are more than likely part of the training data used to develop these LLM. Medical biases are just now being fully understood so that data is no where near as prevalent as the sea of historical biased data.
Same will hold true for GPUs in 20 years time. People will laugh as they watch from their quantum computers.