Klarna CEO Sebastian Siemiatkowski admitted the company’s AI-heavy approach to customer service went too far, leading to a drop in quality. The fintech firm is now rehiring human agents through a remote, on-demand model, while continuing to integrate AI across operations.
pretty much, AI (LLMs specifically) are just fancy statistical models which means that when they ingest data without reasoning behind it (think the many hallucinations of AI our brains manage to catch and filter out) it corrupts the entire training process. The problem is that AI can not distinguish other AI text from human text anymore so it just ingests more and more “garbage” which leads to worse results. There’s a reason why progress in the AI models has almost completely stalled compared to when this craze first started: the companies have an increasingly hard time actually improving the models because there is more and more garbage in the training data.
They’ll have jobs right up to the introduction of the next gen AI.
That might be a while. AI cannibalizing itself is a real problem right now and it’s only going to get worse.
By ingesting it’s own slop?
pretty much, AI (LLMs specifically) are just fancy statistical models which means that when they ingest data without reasoning behind it (think the many hallucinations of AI our brains manage to catch and filter out) it corrupts the entire training process. The problem is that AI can not distinguish other AI text from human text anymore so it just ingests more and more “garbage” which leads to worse results. There’s a reason why progress in the AI models has almost completely stalled compared to when this craze first started: the companies have an increasingly hard time actually improving the models because there is more and more garbage in the training data.
The obvious follow up is, how can I, help to hasten the decline
.