That sounds like the market at work? Government doesn’t control what private companies stock, so it seems they’ve gotten some signal that the majority of their customers prefer energy-efficient products. If you’re a non-mainstream consumer, things are always going to be harder for you.
While we’re at it, why not let manufacturers reintroduce lead into paint and toys and let consumers choose what they want there too? The problem is that “consumer choice” is frequently a shield for amoral companies to take advantage of information asymmetry to externalize problems onto individuals. Individual consumers do not have time to deeply research every purchase they make and so it is not reasonable to expect them to handle these things themselves. Instead we have the Hobbesian contract where it is much more efficient to empower a government to centralize the handling of these common goals. It’s not smart or edgy to argue for the “free hand of the market” in these one-off topics, because none of these decisions are made in a vacuum but rather are part of a continuum of choices that the governed are mostly happy with (no such safety regime can ever be perfect).
I think there’s a difference in that this is about as good as LLM code is going to get in terms of code quality (as opposed to capability a la agentic functionality). LLM output can only be as good as its training data, and the proliferation of public LLM-generated code will only serve as a further anchor in future training. Humans on the other hand ideally will learn and improve with each code review and if they don’t want to you can replace them (to put it harshly).
I did not get the feeling that the author was against AI, but rather was bemoaning that students were using it to avoid learning. Philosophy is a good example of a subject where the knowledge is a means to developing your own cohesive principles. You don’t have to ever evolve your principles beyond their organic development, but why even bother taking a philosophy class at that point.
The ideal philosophy class is probably Aristotelian, with direct conversation between teacher and student. But this is inefficient, so college settled on using essays instead, where some of that conversation happened with the student themself as they worked through a comprehensive argument and then the teacher got to “efficiently” interject through either feedback or grading. This also resulted in asymmetric effort though, and AI is good at narrowing effort dynamics like that.
The author’s point was that the student’s effort isn’t a competition against the teacher to minmax a final grade but rather part of developing their thinking, so your “day of reckoning” seems to be cheering for students (and maybe people) to progressively offload more of their _thinking_ (not just their tasks) to AI? I’d argue that’s a bleak future indeed.
Where I disagree with the author is in worrying about devaluing a college degree. It shouldn’t be necessary for many career paths, and AI will make it increasingly equivalent to having existed in some town for 4 years (in its current incarnation). I’m all for that day of reckoning, where the students going to university want to be there for the sake of learning and not for credentialing. Most everyone else will get to fast-forward their professional lives.
You would have to grade every user on every knowledge axis though. Just because someone is an expert in software doesn’t mean you should believe their takes on medicine, no matter how good faith their model interactions appear. I’d argue that coming up with an automated way to determine the objective truthfulness of information would be among the greatest creations of humanity (basically “solving” philosophy), so this isn’t a small task.
Users can be adversarial to the “truth” (to the extent it exists) without being adversarial in intent.
Dinosaur bones are either 65 million year old remnants of ancient creatures or decoys planted by a God during a 7 day creation, and a large proportion of humans earnestly believe either take. Choosing which of these to believe involves a higher level decision about fundamental worldviews. This is an extreme example, but incorporating “honest” human feedback on vaccines, dark matter, and countless other topics won’t lead to de facto improvements.
I guess to put it another way: experts don’t learn from the masses. The average human isn’t an expert in anything, so incorporating the average feedback will pull a model away from expertise (imagine asking 100 people to give you grammar advice). You’d instead want to identify expert advice, but that’s impossible to do from looking at the advice itself without giving into a confirmation bias spiral. Humans use meta-signals like credentialing to augment their perception of received information, yet I doubt we’ll be having people upload their CV during signup to a chat service.
And at the cutting edge level of expertise, the only real “knowledgeable” counterparties are the physical systems of reality themselves. I’m curious how takeoff is possible for a brain in a bottle that can’t test and verify any of its own conjectures. It can continually extrapolate down chains of thought, but that’s most likely to just carry and amplify errors.
It’s all in the nuance. Currently the insurance companies have too much moral hazard, as they are able to extract profits during the “good” years (like AllState’s recent $3B stock buyback) and then deny or default during disasters. An extractive profit cap could allow companies to take in more than they spent and save it to prepare for major catastrophes. They wouldn’t have to simply disperse these funds back to policy holders or something. I’m sure that idea would need more refinement, but my overall point was that our regulations should directly target the incentives we actually care about. And we have to rely more on regulation in these situations because the market can’t properly price the risk of companies disappearing during major payout events.
I’d really argue that for-profit insurance companies are a bad idea in general, but that’s a higher-level debate. There’s an interesting idea where governments handle all disaster-related insurance handling but are then also able to have a more comprehensive approach to management (though that’d be hard to trust in the current US political climate).
Yeah, the solution isn’t divorcing risk (as communicated by cost) from reality. If the concern is usurious insurance rates, that’s where things like profit caps and other regulations come in. Society should want people to have fair insurance rates but not necessarily cheap rates.
Or coming to temporary clarity? Things like the “culture wars” are distractions pushed by the elites to keep the lower classes fighting amongst themselves and not their true enemy. But extractive robber barons are the real problem behind everyone’s life getting worse all the time, and for a brief moment everyone has seen that and been in alignment.
Your browser aka user agent is telling the web site that you prefer the dark color scheme (via prefers-color-scheme) so the site _thinks_ it is listening to your preferences. This means that your problem lies with what your browser is communicating. In Chrome Dev Tools, there’s a way to force prefers-color-scheme: light, and I wouldn’t be surprised if there were some Chrome extensions to make managing that even easier. There are probably solutions for other browsers as well.
Of the problems the advice-seeker’s company has, odds are that simply being a non-profit is the root cause. My wife has worked for several (large and small), and it is distressing how many of them are run as almost anti-profits, resistant to common good business practices out of some weird misunderstanding of what “non-profit” means. It’s been depressing watching so much money and good intentions wasted at these places on boondoggles; I’m not saying that all for-profit businesses are perfect by any means but they at least understand that obviously losing money is generally bad, whereas she’s seen even some quite well-known non-profits be actively resistant to things like trying analyze and optimize the impact of the money they spend. This atmosphere has then given rise to all kinds of weird second-order effects. Unfortunately, that may be the only place they feel they can work on their passion issue, but if not, getting out entirely is their best bet.
Maybe you’re both right? They’ve found a team made entirely of people from that small population of potential co-workers with whom they’d form genuine friendships, and are reluctant to trade down to one composed of more so-called “that guy”s.