You vastly underestimate how cheap and prevalent that sort of AI stuff already is. The upfront costs are high, and there’s usually some sort of ongoing support cost, but it’s been much cheaper than people since ~2020 and it’s only been getting more prevalent and miniaturized.
I’d encourage you to peruse https://everseen.com/solutions for some dystopian horrorshow. That is one of the companies that Kroger and Walmart ‘leverage their capabilities from’.
There’s also the b2b quid pro quo investment schemes already mentioned.
And also that retail insurers are one of the major ones helping to ‘drive adoption of these innovative ermergent technologies’ as both the retailers and insurance are constantly trying to scam each other for profit ‘maximize the potential earnings from their synergistic, mutually beneficial, relationship’. For further reading
You do understand that many of the claims made about what AI can do ate extremely overstated at best?
AI companies have an extreme circular investment scheme going on and for the bilkuins invested with only a fraction of the running cost coming in, even investors are starting to get itchy. I give AI a full 6 more months before the entire bubble (or ponzi scheme even, at this point) pops and will come crashing down, taking enyitr economies with it.
You do understand that many of the claims made about what AI can do ate extremely overstated at best?
Yes, and that is arguably the bigger problem. They’re very careful to not mention any hard numbers on the actual reliability, but if we give it a very generous 80% accuracy in detecting “customer shrinkage” and assume that the error is split evenly into false positives and false negatives that’s a 10% of every time you go into a store to buy things getting put into the shoplifter database(assuming the facial recognition is 100% accurate, which again: fucking lol). At which point the retailer’s internal reports show an increase in the amount of customer shrinkage.
This creates a vicious feedback loop of increased shoplifting reports, increased demand for shoplifting solutions, increased false data, increased shoplifting reports, etc… This resulted in a lot of store closures back in 21-22 and is a crucial part of that “circular investment scheme” you mention.
Of course the error rate isn’t evenly distributed. It’s heavily concentrated on people that “look like criminals” ie, poor, black, young, hispanic, disabled, etc.
The entire “western” economy is ~90% ponzi scheme. The “AI bubble” is a bit lazier of one than usual but it’s not to play out any different than the “dot com” bubble.
You vastly underestimate how cheap and prevalent that sort of AI stuff already is. The upfront costs are high, and there’s usually some sort of ongoing support cost, but it’s been much cheaper than people since ~2020 and it’s only been getting more prevalent and miniaturized.
I’d encourage you to peruse https://everseen.com/solutions for some dystopian horrorshow. That is one of the companies that Kroger and Walmart ‘leverage their capabilities from’.
There’s also the b2b quid pro quo investment schemes already mentioned.
And also that retail insurers are one of the major ones helping to ‘drive adoption of these innovative ermergent technologies’ as both the retailers and insurance are constantly trying to
scam each other for profit‘maximize the potential earnings from their synergistic, mutually beneficial, relationship’. For further readingYou do understand that many of the claims made about what AI can do ate extremely overstated at best?
AI companies have an extreme circular investment scheme going on and for the bilkuins invested with only a fraction of the running cost coming in, even investors are starting to get itchy. I give AI a full 6 more months before the entire bubble (or ponzi scheme even, at this point) pops and will come crashing down, taking enyitr economies with it.
Yes, and that is arguably the bigger problem. They’re very careful to not mention any hard numbers on the actual reliability, but if we give it a very generous 80% accuracy in detecting “customer shrinkage” and assume that the error is split evenly into false positives and false negatives that’s a 10% of every time you go into a store to buy things getting put into the shoplifter database(assuming the facial recognition is 100% accurate, which again: fucking lol). At which point the retailer’s internal reports show an increase in the amount of customer shrinkage.
This creates a vicious feedback loop of increased shoplifting reports, increased demand for shoplifting solutions, increased false data, increased shoplifting reports, etc… This resulted in a lot of store closures back in 21-22 and is a crucial part of that “circular investment scheme” you mention.
Of course the error rate isn’t evenly distributed. It’s heavily concentrated on people that “look like criminals” ie, poor, black, young, hispanic, disabled, etc.
The entire “western” economy is ~90% ponzi scheme. The “AI bubble” is a bit lazier of one than usual but it’s not to play out any different than the “dot com” bubble.