Problem is that confusion has caused an unreasonable level of investment, with expectations that have no significant indications of being met. So we need credible experts reiterating what those in the thick of it consider ‘obvious’ to try to fight that irrational behavior.
Currently, they have seen a rapidly evolving tech industry with lots of things that didn’t quite work right but were quickly iterated into something useful. The dot-com being an example of generally solid principles attempted too soon, and the tech companies ‘fixed’ a lot of the problems in short order. So they see this thing that almost seems like a conversational human and assume that ‘almost’ will be addressed by the tech geniuses before we know it, and whatever naysaying those same experts might be saying is just misplaced humility. The ‘experts’ may have nerdy reasons why they view it as limited, but the investors “common sense” experience are inconsistent with that feedback.
Of course there’s survivorship bias and plenty of ‘big tech’ that retreated after an optimistic push if you went looking to see that tech can actually fail to close that gap, but none of those examples are anywhere near the scale of the AI push.
Yes, all the same people who thought smartphones were actually “smart” or that social media was actually “social” are the ones thinking artificial intelligence is actually “intelligent”. Just cause a company calls their product “vitamin water” doesn’t make it healthy, and the sooner people learn to see through the bs hype machine that major corporations have us all hypnotized by, the better for everyone.
Though in those cases while there is confusion, the outsized investment factor didn’t figure in. The value proposition was more in line with realistic possibilities with the respective technologies. Smart phones may not have been that smart, but plenty capable to land in every pocket and be both a rich revenue stream in and of themselves as well as an onramp to ‘app store’ revenue and a goldmine of private data.
The LLMs have value, but I’m skeptical it justifies all the very large and very weird financial shenigans going on with nonsensical depreciation claims, crazy loans, and circle jerk of money going out to a customer to let the customer give it back for product…
Problem is that confusion has caused an unreasonable level of investment, with expectations that have no significant indications of being met. So we need credible experts reiterating what those in the thick of it consider ‘obvious’ to try to fight that irrational behavior.
Currently, they have seen a rapidly evolving tech industry with lots of things that didn’t quite work right but were quickly iterated into something useful. The dot-com being an example of generally solid principles attempted too soon, and the tech companies ‘fixed’ a lot of the problems in short order. So they see this thing that almost seems like a conversational human and assume that ‘almost’ will be addressed by the tech geniuses before we know it, and whatever naysaying those same experts might be saying is just misplaced humility. The ‘experts’ may have nerdy reasons why they view it as limited, but the investors “common sense” experience are inconsistent with that feedback.
Of course there’s survivorship bias and plenty of ‘big tech’ that retreated after an optimistic push if you went looking to see that tech can actually fail to close that gap, but none of those examples are anywhere near the scale of the AI push.
Yes, all the same people who thought smartphones were actually “smart” or that social media was actually “social” are the ones thinking artificial intelligence is actually “intelligent”. Just cause a company calls their product “vitamin water” doesn’t make it healthy, and the sooner people learn to see through the bs hype machine that major corporations have us all hypnotized by, the better for everyone.
Though in those cases while there is confusion, the outsized investment factor didn’t figure in. The value proposition was more in line with realistic possibilities with the respective technologies. Smart phones may not have been that smart, but plenty capable to land in every pocket and be both a rich revenue stream in and of themselves as well as an onramp to ‘app store’ revenue and a goldmine of private data.
The LLMs have value, but I’m skeptical it justifies all the very large and very weird financial shenigans going on with nonsensical depreciation claims, crazy loans, and circle jerk of money going out to a customer to let the customer give it back for product…