i think there are a lot of college-educated folks that would love to switch into a trade, but there are cultural barriers to starting such a career. a not-insignificant number of tradespeople have been taught to see college as the enemy and college-educated folks as soft, coddled people with poor work ethic. if you showed up at a job site after getting a four-year liberal arts degree, you'd be met with lots of mocking and "oh, you thnk you're better than me?" defensive posturing.
i think major federal funding agencies should track department-level stats on "how many phd students did you admit?" versus "how many tenure track positions did you hire?" and use that to implement mechanisms that encourage a healthier balance (e.g., changing funding lines on grants, adjusting their overhead cuts, boosting trainee grants at certain places).
this would hopefully stop departments from over-admitting and encourage less adjunctification.
I’d love if there were different “layers” of meta discussion on top of everything on the web. Every blog and website would have an untold number of communities having discussions that are completely optional for you to view.
Instead of browsing across sites, you’d be browsing across communities seeing the same site.
I started working towards this goal in the latest release: you can now add Reddit as a source, so now when you visit a URL it will check across all subreddits where it's been posted and give you a blended discussion made up from everyone's comments.
I've been working towards building out functionality close to what you're describing. As a first feature, I added annotations where the script looks for HN comments quoting parts of the article and adds a highlighter effect. It lets you instantly see what parts of the text people are actually interested in. It's still a rough beta, but I'm actively working toward that exact vision.
the twenty-four hour news cycle's unyielding need for urgent content has broken many people psychologically and we need to 'deprogram' them.
i've often thought about making a site that lets you easily do side-by-side comparisons of news sites on different timescales (1 week, 1 month, 1 year) so you can pull it up and show them "see all this stuff that you feel like you NEED to consume? like it makes you a better informed member of society? how much of it actually mattered and how much of it was just there to hook you in the moment?"
I just wanna throw in that Tangle News[0] strikes a pretty good balance here. Their core offering is detailed breakdowns of what is generally regarded as the top four stories of the week, one a day from Monday through Thursday, which is usually more than enough space to keep you "up on current events", and they usually (though not always) tend to give enough space to let stories develop before summarizing.
The objective here feels like a good candidate for people to vibecode into their homebrew rss readers, in a composite feed. The marked source feeds then get hidden behind a minor effort gate. You still keep your unmarked and “safe” xkcd or whatever feeds as siblings.
A well informed population is important. The problem is they're not well informed they're well-hooked to whatever exaggeration and drama the news can whip up.
The invented news and invented intensity is the problem.
our brightest phds are attacking attention from all fronts (ads, social media, news), but the news one in particular is particularly insidious because for years you were told that watching the news made you a good, responsible person. but back then the news was just one or two 30minute blocks on TV and the newspaper.
People that get sucked into social media srolling for hours know that they're not doing something good for themselves, people are guzzling from the fear-monger newshose and they think they're doing something "healthy".
“ but back then the news was just one or two 30minute blocks on TV and the newspaper.”
There was all kinds of quasi-serious news-adjacent crap like 60 minutes, 48 hours, etc. The big difference was none if it was data driven and backed by algorithms that are constantly tuned for max engagement.
that is really interesting idea. I'd be really happy to read such a site, as I very often wonder if current hype/prediction will be relevant in the future. But I always forget to check being flooded by more hype.
I think AI discourse is revealing some new contours to the information bubbles that we all live in.
folks in the US have been pretty aware that bubbles based on political opinions -- we're all surrounded by news from "our side" yet we know the other side exists in some other bubble. but for AI, we're all either surrounded by pro- or anti- opinions and its a little shocking to learn that theres a parallel internet with the opposite stance. especially shocking when you find somebody that lives in teh same political bubble but opposite AI bubble.
I started writing up a giant response to this about how all of LLMs are spooky action at a distance but for better or for worse, that doesn't make them any less useful, and a few paragraphs in I suddenly noticed what you actually wrote. Well played :)
Same as programming, I feel like the underlying tension is between math lovers who want new math to be done vs those who want to be the ones to DO the new math.
Both groups love math, but the later group is in a real bind because they have confounded their career with their hobbies/passions.
The “old way” would be lots of debate (both bike shedding and useful) among engineers during design phase, and then you’d implement.
Now it’s shifted so there are no design docs and there is only the generated prototype. People trying to do their design review while there’s already a functional-ish prototype and it goes nowhere. There’s an anchoring effect in place because the first thing already exists and management says “this seems to work, just use it and move on”. The result is that useful debates about substantive issues don’t happen and bikeshedding is all way get to do
This is so accurate. I am a fairly senior individual contributor and its been more than a year since I saw a good design doc or quality design discussion. Before you can even question the design, someone has generated a 50k line prototype and already made up their mind because of all the “you’re absolutely right..” and “X is exactly what you need..” from AI.
This very much. First thing built is what get approved. Even if it will generate 10x the workload down the line, because today's quality bar is very much demo level.
And then you get paged at 2am because prod is down and the support channel is more active than the team's one.
A working prototype like that is good if the debate is “is this possible?”, the problem above is more for problems where it’s possible and we’re arguing which path to take
The distance between substantive issues vs bikeshed sized issues is non-linear and ill-defined. Sometimes: yeah, we're just bikeshedding. Other times, it's important to suss out unshared implied context that doesn't match between various stakeholders and will have outsized ramifications later. What's new is the speed of executing changes. If there was no substantive debate about what programming language to even use so everyone is equally happy (read: sad), so what? Have the LLM rewrite the entire project in another language over the span of a couple of days after that discussion is had because the language used has specific shortcomings that have been unmined.
