Klarna’s AI replaced 700 workers — Now the fintech CEO wants humans back after $40B fall
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Hahahaha..... No.
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They want humans back but only in a gig economy as far as I remember.
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They want humans back but only in a gig economy as far as I remember.
Yep, the article mentions they are going for an Uber-like model but with service agents. Hmmm, I wonder how well that is going to work for them...
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Yes, let's go back to the company who'd sack me and loads of my colleagues on the whim that an untested notion of a tool might work.
I'm sure they'll value me this time
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We’re aimed at achieving a new level of employee empowerment, enhancing both our team’s performance and the customer experience.
To use an ancient acronym:
ROFLMAO
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They’ll have jobs right up to the introduction of the next gen AI.
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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.
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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?
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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.
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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
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That's because they forgot to also replace the CEO. Beginner's mistake.
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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.
There's actually a lot of human intervention in the mix. Data labelers for source data, also domain experts who will rectify answers after a first layer of training, some layers of prompts to improve common answers. Without those domain experts, the LLM would never have the nice looking answers we are getting.
I think the human intervention is going to increase to counter the AI pollution in the data sources. But it may not be economically viable anymore eventually.This is a nice deep dive of the different steps to make today's LLMs: https://youtube.com/watch?v=7xTGNNLPyMI
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The obvious follow up is, how can I, help to hasten the decline
Make an account on twitter and reddit, and use chatgpt to generate content. AI models will scrape the data and use it to for training, basically Ouroboros also known as model collapse.
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nightmare fuel
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Klarna is the worst. We ordered a canoe last year, it wasn't delivered by the company in time, we cancelled the order. It got acknowledged by the seller, order got cancelled. Klarna kept bugging us for payment, telling us to talk to the seller. So we did, but he said we need to go to Klarna. So we did. This ping pong went for some time, eventually Klarna admited we don't need to pay. And now we have problems getting anything on the invoice, as we paid later. Fuck Klarna.
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That might be a while. AI cannibalizing itself is a real problem right now and it's only going to get worse.
Let's hope the current ai chokes on the crap it produces and eats afterwards.
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Let's hope the current ai chokes on the crap it produces and eats afterwards.
Don't forget, there's also people deliberately poisoning ai. Truly doing God's work.
