@cascat07, I agree that Zitron’s writing has about 500% too much spleen and is weakened by it. But the kid yelling about the emperor’s nakedness might be forgiven for getting sarky after a year or two of being told he’s clearly just one of the idiots who can’t see clothes.
“No there there” would be wrong, and in his less rhetorically overheated moments Zitron explicitly recognizes that. “Not enough of a commercially viable service there to come anywhere close to justifying a half-trillion dollars in highly specialized investment” is the version of the GenAI bear case I find not only reasonable but plausible.
Let’s see how much value that adds in the end. If you didn’t get as far as the part of the article where he quotes three software engineers at length, I’d suggest dipping back in to that part, since they don’t have the off-putting vitriol (at least, uh, not in their responses to Zitron) but do say a lot of things relevant to applying our AI tools to complex tasks.
Our overwhelming success at blowing through the Turing Test with the LLM approach has created this widespread sense that autonomous “agents” are right around the corner…and my guess is that, like fusion, they’re going to be right around the corner for a few decades, because we haven’t actually cracked the hard technical problems around reliability and affordability that we’d need to hand over really consequential tasks to AI.
We’d also need to get a lot better at getting different AIs to “talk” to each other. No OpenAI product has learned how to play a game of chess or Go without breaking all the rules, for fascinating example, despite the fact that specialized AIs already mop the floor with human players in both games. Bolting that AI capacity onto a LLM is a so far unsolved problem.
Lots of institutions are thinking big thoughts on Agentic X. I suspect those are going to largely shipwreck on the reality of what “agents” are currently (un)able to do.
I think it’s absolutely worth entertaining, given the unprecedented financial unsustainability of the services at present. (No past startup has burned through anything close to the capital poured into AI during the last few years.) If the big money applications don’t arrive soon, the financial retrenchment might actually take the free versions of GenAI tools off the web entirely.
But my guess isn’t that the usage will go down, so much as the usefulness. When the bubble bursts, I think an ad-supported free old version will hang around to draw people in for chat; it’ll just be aggressively trying to sell them stuff, while offering far less inferential power.