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.

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.

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).

Comments URL: https://news.ycombinator.com/item?id=42587536

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Penny-wise, pound-foolish isn’t a saying because it’s a total rarity. Plenty of people follow “common” practices that seem positive but are actually negative.

Cash is much easier to steal from your employer, let alone miscount, misplace, or even accidentally destroy. You’ll see most if not all of these outcomes occur if you work a service/retail job.

- If the UK GSD is anything like USDS, using them for comparison is like comparing a pro sports team to your local high school’s. They are an outlier specifically created to be better than the average, so tautologically their stuff will be better. Code For America is a similarly odd comparison.

- The US has a massive gap in pay and prestige between public and private sector developer jobs. It’s not that this means “worse” people work at public jobs, but in general they start less experienced and can wind up in a non-learning cycle as they don’t get mentorship/guidance from more expert folks, and if they do get good independently they leave. It’s really hard to convince people to take a pay cut to work these jobs, and many of the few willing to do so instead go to CFA, USDS, etc because they want prestige and avoid all the other inefficiencies in public jobs.

I could go on about the structural problems leading to this, but suffice it to say that blaming React and other JS frameworks is a miss. For some services it’s lucky they are online at all, and a slow web page is still orders of magnitude faster than physical mail or god forbid going to a physical office. The sites could definitely be better but this is not fundamentally a problem of technology choice.

And to use your direct comparison, can you imagine what the data would look like if the US economy actually pivoted to a war footing with the existential urgency akin to that during WWII (which was vastly more expensive than WWI even)?

Game company Bar decides to launch their own store and pull their game - we’ll call it Nortfite - from the App Store so they can add something shady like crypto features. Nortfite is a massive social game that all your friends play and it’s a huge part of your teenage social life. Your only device capable of playing it is your second-hand iPad. Do you really have a choice about staying in the walled garden? Who needs friends anyway, amirite?