I mean just from the above quote it’s clear he doesn’t trust them for “mission-critical” tasks. And I doubt LLms have evolved significantly from their stochastic parrot nature over the last few years
You’re conflating being ghosted with ghost jobs, which are positions that are posted but are never intended to be filled (usually cited as for data collection purposes). These waste people’s precious time while they apply for jobs.
This is what bugs me about the whole AI fanaticism thing coming from the top down, because what evidence is there that the AI labs aren’t going to try and eat everyone’s lunch after they’ve done whatever they need to developing the actual AI. We’ve already seen this with Gemini and OpenAI trying to eat video production and making workflows explicitly for that purpose, what makes people think that Claude isn’t going to do the same exact thing once they get bored of making models? It’ll all be under the guise of “making [lucrative niche] accessible to anyone” meanwhile they just disappeared your moat that you willingly handed them
It all makes sense when you realize QAnon basically runs the white house now. There’s a very insulated type of American who lives in their own world, that unfortunately lots of voters are apparently sympathetic to. It’s probably seen as a victory against the climate change hoax or something along those lines.
It’s a band aid solution because the model can get stuck in a refutation loop, where it argues a point by pulling up a contradicting source ad infinitum. The holy grail, which has not been yet reached, is figuring out how to dynamically align the model to be consistent with all the sources in the first place (and this is a problem of provenance rather than model design)
All of these advanced death machines need equally advanced supply lines and staging grounds, both of which would run through civilian populations. Look at Afghanistan as an example: with all the might of its war machine the US couldn’t kick the Taliban out, who we love to tout as fighting with sticks and stones.
In fact the only issue stopping a worker’s revolution in the US is the lack of organization. The technology factor is really small in comparison to the inherent asymmetry of the situation.
The attitudes aren’t 1-1 comparable. China is on a winning streak in terms of socioeconomic development, and AI is likely seen as merely a new technology in the context of the social contract. The US is going the opposite way, and people here view AI through the lens of oligarchy more often than not. I wouldn’t say that a lot of people feel as optimistic, even if they are actually more economically secure.
The false equivalence of emotional maturity with being able to chase production is really telling.
When people think of autonomous driving as a solved problem it evokes something very specific. It means vehicles can drive on their own, without guidance. Until you solve AVs you don’t have a claim to present whatever you actually have as such. There’s no “good enough” for AVs, you’ve either solved them or you haven’t.
I doubt we’d build anything IRL without understanding how it works first. And we’re pretty good at putting 2+2 together once we have the pieces, for a lot of these things we don’t even have those. After all AI can just explain it to us atp
It’s also a set of credentials, which might be immediately useful for one reason or other. All those other things you can do outside of a program, especially if you’ve already got the network or career trajectory to support it.
I find the insinuation that mental illness is a fundamental part of the human experience to be deeply revolting. There is no excuse for hoarders and rapists.
We could also literally have Star Trek. Think of all the scientific discoveries we could make if we had armies of scientists the size of our labor force.
But we will have to (painfully) shed our current hierarchies before that comes to pass.