03-12-2026, 09:32 PM
I read this opinion piece and felt genuinely torn.
Slowly and bit by bit, many people are starting to realize the difference between "marketing" AI and actual "artificial intelligence." Trillions in wealth have shifted, entire industries have shifted gears, and no one yet focuses on the one true fact that as much as every talking head seems utterly convinced and most certain... AI does not "yet" exist.
The simulacrum of a model... is not yet even complete.
But here... in the article, even an avid believer laments...
The value I find in his observation that the problem has always largely been preferring "marketing" describe the technology... in their own terms...
However such a perspective is lost on any author who proposes:
Remaining true to the illusion that actual "intelligence" is 'contained' within the training material. That amassing an algorithmically filtered word collections leads to "statistically valid intelligence." Folly.
Slowly and bit by bit, many people are starting to realize the difference between "marketing" AI and actual "artificial intelligence." Trillions in wealth have shifted, entire industries have shifted gears, and no one yet focuses on the one true fact that as much as every talking head seems utterly convinced and most certain... AI does not "yet" exist.
The simulacrum of a model... is not yet even complete.
But here... in the article, even an avid believer laments...
Quote:...
The marketing hype surrounding AI broadly — and generative AI (genAI) more specifically — is becoming tiresome. You can’t open an article or watch a news video without running into at least a reference to it. We may be approaching the point at which we stop breathlessly extolling its virtues (and dreading some of its outcomes).
The hype is so extreme that a fall-out, which Gartner describes in its technology hype cycle reports as the “trough of disillusionment,” seems inevitable and might be coming this year. That’s a testament to both genAI’s burgeoning potential and a sign of the technology’s immaturity.
The value I find in his observation that the problem has always largely been preferring "marketing" describe the technology... in their own terms...
However such a perspective is lost on any author who proposes:
Quote:... Machine learning tools are only as good as the data they’re trained with...
Remaining true to the illusion that actual "intelligence" is 'contained' within the training material. That amassing an algorithmically filtered word collections leads to "statistically valid intelligence." Folly.
