May 5th, 2024, 12:45 pm
Another Microsoft AI engineer “recalled instances when a software engineer on his team would come up with an algorithm to solve a particular problem that didn't involve generative AI. That solution would be pushed aside in favor of one that used a large language model, even if it were less efficient, more expensive and slower.”
Another engineer “described much of the work in generative AI today as an “extreme amount of vaporware and hype” Every two weeks, the engineer said, there's some sort of big pivot, but ultimately there's the sense that everyone is building the same thing.” He said he often has to put together demos of AI products for the company's board of directors on three-week timelines, even though the products are "a big pile of nonsense." There's a constant effort to appease investors and fight for money, he said. He gave one example of building a web app to show investors even though it wasn't related to the team's actual work. After the presentation, ‘We never touched it again.’
Another engineer said the company’s investors have inaccurate views on the capabilities of AI, often asking him to build certain things that are "impossible for me to deliver."
"I think the major harm that comes is there's no time to think critically," another engineer said.
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And worser ML papers are just a manifestation of these "hidden variables".