It's incredible to me that California's primary generation source is cyclical solar — which it primarily offloads to PNW [0], who offsets any missing California solar with its MASSIVE Columbia River Hydro. Essentially co-dependant renewables, the entirety of West Coast through Colorado balancing primarily between solar and hydro (and natgas peakers). Nothing like Québec (¡hydro!), but still something . [0] < https://i.imgur.com/QMclWZu.png > grey "other" line == sold to neighboring grids ---- If ERCOT ("Texas") would get over their independant grid "benefits" [i.e. not having to follow federal regulations], they could be sloshing their primarily wind-derived kWHs into an even more-beautiful grid of flowing renewables. Instead, 10-year winter storms risk hundreds dead and billion$ lo$t. ---- TVA is in planning stages for its second massive pump-storage facility — but Texas is probably wiser in its nascent battery storage investment [1], instead. TVA's Racoon Mountain Pumphouse is definitely impressive, but with all the upcoming "depleted" car batteries being reconditioned into the stationary electric storage market... water power storage is probably the more environmentally-damaging method (definitely more expensive?). [1] < https://imgur.com/a/Nm0TFs1 > ---- Screenshots via < https://www.eia.gov/electricity/gridmonitor/dashboard/electric_overview/US48/US48 > [nerd warning: my favorite real-time dataset] US Lower-48 Primary Energy Sourcing: < https://i.imgur.com/BWXugy2.png > ---- My layperson recommendations to industry [I'm blue-collar, electrician]: reduce coal, increase nuclear; increase micro battery storage (e.g. see Chattanooga's EPB implementations); maintain but stop building dams/pumped storage. Solar/wind/nuclear/nat.gas will be able to run everything once we have enough battery storage to handle daily peaks . In a few more years we will be entirely able to remove our dependance from toxic coal [2] [2] https://www.youtube.com/watch?v=IfvBx4D0Cms
The "deal" often being made with academia is "we'll give you a place to do research, and even fund your research, but you have to teach the next generation." This isn't a bad deal, and is the reason many scientists give up MUCH larger paychecks that they'd get from the private sector to be a professor. These people would rather do research than have a more directed engineering (or engineering research) role that the private sector would give them. But that deal has also shifted. Duties have changed and often many of the academics do not get to do much research, instead being managers of grad students who do the research. Being a professor is a lot of work and it is a lot of bureaucratic work. I'm not sure why you're complaining about researchers. Think about the system for a second. We've trained people for years to be researchers and then... make them managers. Imagine teaching people to program, then once you've decided they're fully trained and good programmers we say "you're free to do all the programming you want! But you have to also teach more programmers, grade their work, create their assignments and tests, mentor the advanced programmers, help them write papers, help them navigate the university system, write grants to ensure you have money for those advanced programmers, help manage your department's organization, and much more." This is even more true for early career academics who don't have tenure[0]. For the majority of professors the time they have to continue doing research (the thing which they elected to train to do! That they spent years honing! That they paid and/or gave up lots of money for!) is nights and weekends. And that's a maybe since the above tasks usually don't fit in a 40hr work week. My manager at a big tech company gets more time to do real programming work than my advisor did during my PhD. I'd also mention that research has a lot of monetary value. I'm not sure why this is even questioned by some people. Research lays the foundation for all the rest. Sure, a lot of it fails, but is that surprising when you're trying to push the bounds of human knowledge? Yet it is far worth it because there are singular discoveries/inventions that create more economic value than decades worth of the current global economy. It's not hard to recognize that since basically the entire economy is standing on that foundation... [0] Just because you have tenure doesn't mean you don't have a lab full of graduate students who need to graduate.
Am I misunderstanding your post?: you're implying that HYPSM increase their matriculation by ten times? These "elite" colleges,—one of which I've attended for graduate school,—have serious issues already with becoming degree mills; degrees have depreciated enormously in value over the last several decades: consider the collapse in being able to find a tenure track research position, even from one of these colleges. If we wanted elite colleges to provide the benefits that they are supposed to; then we would, if anything, want to reduce matriculation. Stanford,—and I would hazard a guess many other HYPSM schools,—are already minting out too many students; this is especially true when it comes to non-PHD masters degrees, which are essentially an unbecoming cash cow for departments. Actual "quality of education" mostly comes from a low staff/student ratio and direct access of students to elite researchers: this difference in education mostly takes the form of better research labs to work in, with some spillover into office hours; increasing matriculation would only lead to more auditorium-sized classes that are run by lecturers or postdocs—these classes are essentially at the same level as trudging through online material. Your proposed "solution" would have a Procrustean effect: I can't speak for Chinese or Indian universities, but while schools like UC Berkeley, UT Austin, University of Michigan, et seq... have good reputations, they have a noticeably lower reputation than the ivy leagues and certain private colleges like Stanford, MIT, and Caltech—and a worse reputation for being degree mills. If you think that Stanford having 180,000 students matriculated will give everyone a quality education, then I think that you fundamentally misunderstand the markers that make an in-person education higher quality. The only benefit that would come of it would be popping the degree bubble and prematurely ending the current moribund trajectory that universities are on; where they are already treating degrees as if they were artificial-scarcity NFTs, rather than providing the actual scarcity that is access to,—and direct training from,—high-level researchers.
Work in the industry: way too many planners and transit consultants are fixating on too many stops as being a problem, likely since it's the one piece of infrastructure they can control when roads and traffic lights are designed for cars not people. Depending on the road network and land-uses, removing stops only 200-metres apart to make them 400-metres apart (the industry standard) could decrease access to transit within a 5-minute walk by anywhere from 10-50%+, so it's limited to where you can actually apply it without penalizing (ie. putting them outside of a 7-10-minute walk) so many customers that they look for alternatives. In Europe stop spacings are much longer even for local routes (over 400-800-metres), but this is because everyone generally lives within walking distance for their errands, so transit is used only for longer, more commute-like trips, where a longer walk for faster travel times makes sense. Accessibility is also less of a priority there so they're less sensitive to requests from seniors and those with disabilities, with many buses not being wheelchair accessible. In US/Canada, a lot of transit riders live over a 20-30-minute (often with hostile walking conditions like crossing highway ramps) walk from the nearest grocery store, school, pharmacy, etc., so they'd oppose adding 2-3-minutes of walking to shorten a 10-minute bus ride. Moreover, closely spaced stops are really only an issue in older (pre-war) downtowns where frequent stops are the result of decades of requests from residents (especially seniors) and from schools/churches/grocery stores/retirement homes/medical clinics. Out in the suburbs, buses usually bypass most stops, and schedules take that into account. And in places with amazing land-use like Pheonix and Vegas, you have long stretches of nothing so of course there'll be higher average stop spacings. Lastly, much of the time-savings from express routes (that skip stops) and bus stop consolidation/balancing, is from being more in sync with the lights, which are usually designed for through traffic (ie. a green wave). Transit Signal Priority can help achieve significant savings (over 10-30%+) without removing any stops, though moving stops to after the light makes it more effective (and even that can be politically difficult).
> I think, people wanna discuss things with people, not with a news-editor. If I understand you correctly, then Yes I completely agree, but my worry is that this can also be "emulated" as shown by my comment by Models already available to us. My question is, technically there's nothing to stop new accounts from using say Kimi and to have a system prompt meant to not sound AI and I feel like it can be effective. If that's the case, doesn't that raise the question of what we can detect as AI or not (which was my point), the grand parent comment suggests that they use intentionally bad human writing sometimes to not be detected as AI but what I am saying is that AI can do that thing too, so is intentionally bad writing itself a good indicator of being human? And a bigger question is if bad writing isn't an indicator, then what is? Or if there can even be an good indicator (if say the bot is cautious)? If there isn't, can we be sure if the comments we read are AI or not Essentially the dead-internet-theory. I feel like most websites have bots but we know that they are bots and they still don't care but we are also in this misguided trust that if we see some comments which don't feel like obvious bots, then they must be humans. My question is, what if that can be wrong? It feels to me definitely possible with current Tech/Models like say Kimi for example, Doesn't this lead to some big trust issues within the fabric of internet itself? Personally, I don't feel like the whole website's AI but there are chances of some sneaky action happening at distance type of new accounts for sure which can be LLM's and we can be none the wiser. All the same time that real accounts are gonna get questioned if they are LLM or not if they are new (my account is almost 2 years old fwiw and I got questioned by people esentially if this account is AI or not) But what this does do however, is make people definitely lose a bit of trust between each other and definitely a little cautious towards each message that they read. (This comment's a little too conspiratorial for my liking but I can't help but shake this feeling sometimes) It just is all so weird for me sometimes, Idk but I guess that there's still an intuition between whose human and not and actually the HN link/article iteslf shows that most people who deploy AI on HN in newer accounts use standard models without much care which is the reason why em-dashes get detected and maybe are good detector for sometime/some-people and this could make the original OP's comment of intentionally having bad grammar to sound more human make sense too because em-dashes do have more probability of sounding AI than not :/ It's just this very weird situation and I am not sure how to explain where depending on from whatever situation you look at, you can be right. You can try to hurt your grammar to sound more human and that would still be right and you can try to be the way you are because you think that models can already have intentionally bad grammar too/capable of it and to have bad grammar isn't a benchmark itself for AI/not so you are gonna keep using good grammar and you are gonna be right too. It's sort of like a paradox and I don't have any answers :/ Perhaps my suggestion right now feels to me to not overthink about it. Because if both situations are right, then do whatever imo. Just be human yourself and then you can back down this statement with well truth that you are human even if you get called AI. So I guess, TLDR: Speak good grammar or not intentionally, just write human and that's enough or that should be enough I guess.
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