I think it's probably safe to say that there is pressure to inflate grades, and that such pressure comes from people who think that way.

And I know you know all this, but for the rest of the folks reading, realistically, most of them got into Harvard for one of three reasons:

• They could afford to go to Harvard, and therefore applied.
• They thought they were the best of the best, and therefore applied.
• Their parents went to Harvard and convinced them to apply.

Note that all three of those include the word "apply" in one form or another. The ones who got in are presumably some of the best of the people who applied, with the caveat that there is a large pool of people who were equally good, but did not get in, because there is a limit to how many students they can take, and there is a much, much larger pool of people who were equally good, but did not apply, because they:

• didn't have the money to afford it,
• didn't perceive themselves to be good enough (impostor syndrome),
• didn't want to live in the Boston area (B is for Boston, B is for brr),
• didn't want to go to school with what they assumed would be a bunch of spoiled rich kids,
• wanted to save their money for a good grad school, preferred to stay closer to home, or
• were majoring in an area where Harvard is only middle-of-the-pack.

For example, in CS undergrad education, Harvard is tied with UC Santa Cruz down at #37. And UCSC is a short (though moderately painful) drive from Silicon Valley, which makes it more desirable for part-time employment. Harvard is a few minutes on the red line from MIT (#5), which at best makes it an easy trip to another school's recruiting fairs.

It's not a terrible thought. I'm not sure you'd see a meaningful difference in outcomes if you randomly picked from the top 20% of students nationwide and assigned them to Harvard versus carefully selecting with the level of rigor that they do. What would be really great would be if one of these schools randomly chose 2% of their incoming freshmen from the pool of all applicants, rather than going through the full process, and then compared outcomes.

Of course it's possible. It is exceedingly unlikely once the class size gets sufficiently large, but it is absolutely possible in small classes.

Consider an honors general psychology class where everyone is in the honors program and chooses to take that class rather than taking their A in the non-honors version of the course. If they do well enough to get an A in the non-honors course, there's no good reason to give them a B in the honors version of the course, because that just penalizes their GPA for taking a version of the course that covers the subject in more depth and breadth. Now assume that this class has ten students, all of whom would probably have gotten an A in the standard general psych course. Consider that the policy proposed would cap it at 6 As.

And even if you reject the idea that the honors classes should be graded similarly to the non-honors classes and want folks to wear an A in an honors class as some sort of badge of honor (why?), a small elective class still has a real risk of having a section some quarter/semester where everyone is really good or really bad. And just as you wouldn't want to assign As if nobody deserves one, you wouldn't want to deny As if everyone does.

Policies like this only make sense if you cancel any section that has a small number of students or exclude them from the policy. The smaller the sample size, the larger the standard deviation becomes. This is basic statistics (which I mostly picked up in Dr. Zachry's honors general psych). Any policy that doesn't take that into account is fundamentally flawed. Ideally, the grades for each class need to be evaluated with a t-test or similar against all of the previous sections of that class, taking into account the class size as though they were both samples of a larger population. And if that says there's too much difference between the mean/variance of one class and another, that *might* be a hint that the other class was graded unfairly, or it might mean that they're just smarter/better students. To find out which, you then need to compare the group of students' overall per-semester/quarter GPAs against that same metric for the other historical sections of the class.

Simplifying it to some fixed number makes it easy to write the policy, but it doesn't make it a *good* policy.

In a given class, though, there will be variation. If your grade depends not just on how well you did, but on how well the other people in your class did, it's a fundamentally useless metric, because you can have one person who just happens to get into a couple of classes where half the people were valedictorian, and ends up with a B, while another person in the same year who takes classes in a different semester or ends up in a different section of the same class with different cohorts, turns in exactly the same quality of work, and gets an A.

Any sort of stack ranking makes grading completely and totally worthless, even when evaluating people who were at the same school at the same time. It literally tells you nothing more than that a particular student was better than the people in that specific section of that specific class.

This sort of stack ranking also creates a strong disincentive for smart people to take classes with a smaller numbers of students, because the variability in quality of students will be higher.

I would say that any sort of limits like this should be applied over a five-year rolling window, and including all sections taught by a specific professor. That way, a professor who is approaching the threshold can adjust the grading slightly overall to stay within the limits without excessively penalizing students in a section that has all really smart people.

Alternatively, you could provide an escape hatch where a professor can justify exceeding the policy on a one-off basis, but where it has to be independently reviewed, and if it keeps happening, it becomes a problem for the professor.

If you don't do one of those two things, then what you're doing is causing artificial grade *deflation*, which results in an unfairly/randomly biased ranking signal. And I'm of the opinion that doing so makes grades even less useful than their current questionable level of utility.

Or we could just acknowledge that grades are a poor measurement of students' ability in the real world and abandon them entirely, replacing them with pass/fail signals, where each subject area within a course must provide a pass signal for the class as a whole to be passing. Better yet, make it tristate: P, NMP, F, where P means it should count across the board, NMP means it is good enough to pass if it isn't a course in your major area, and F means it isn't good enough to get credit.

Let companies actually spend the time and money to interview more candidates to find out whether they are worth hiring instead of relying on noisy numeric signals as a crude filter.

Because I can think of a few people I would like to spray it on the next time I go on a picnic.

Namely the ones that tell me to shut up and stop complaining about the bug bites.

errr... Apple doesn't charge for its operating system. macOS literally doesn't have a price.

You're describing the situation in places where demand doesn't exceed capacity. I'm describing how any sane person running an electrical utility would bill things in a place where a company wants to put in a data center that exceeds available capacity. They'll hit them with capacity charges based on their usage during peak demand periods, or they'll make them pay for capacity improvements as part of the connection charge, or both.

And the "or they will go somewhere that will" part shouldn't really be a concern. They want to build there. The generating capacity isn't adequate. They either pay whatever fees are necessary to ensure the stability of the grid or they don't build. If that cause them to build somewhere else where adequate capacity exists, that's also fine.

Given that big companies have already made it clear that they think AI will let them do the same work with fewer people, and given that using AI costs the company a lot in terms of compute resources, it seems intuitively obvious that the only reason execs would want to encourage more AI use is to find out what jobs can easily have their headcount reduced by more use of AI.

The people using the most tokens are the ones for whom more of their jobs can be most easily automated. This is not, IMO, a positive sign for the long-term survival of that particular job role. The only rational response is to use AI just enough to show a speed-up, assuming the speed-up actually happens at all, but not enough to be high up on the chart of AI users. Using it way more than that seems self-defeating.

Yeah, that was confusing. But Kenya's president is almost certainly wrong. Here's why:

1. It is not numerically correct, assuming the numbers in the summary are accurate. The country has a surplus adequate to power the data center at somewhere around half to three-quarters capacity even at peak power use, and probably at full capacity for 99 days out of 100. So even if they built it at full capacity right off the bat and did nothing else, you'd still only lose power to a small fraction of Kenya occasionally.

2. They're not building it at full capacity. They're building a small data center at first, then building it up over time as more generating capacity comes online.

3. They're a reliable customer of power. That means that they will alway pay the bill, even if it is high. The grid operators and generation plant operators can charge them a huge premium for bulk power, then use that extra revenue to build more power plants. By the time the data center is running at full capacity, they could have more than enough power to power it.

4. Even if that extra investment in production doesn't happen, they can just refuse to provide the additional power from the grid. I'm sure Microsoft knows how to do solar + storage by now, and if not, they can pay someone to do it for them who does. Or they can build their own geothermal plant right next to the existing one. Or they can do any number of other things to produce power, like installing an SMR.

5. Nothing inherently prevents them from reducing power usage during peak load periods. Service will get slower, but should gracefully degrade, assuming they're doing it right. Nobody will lose power, realistically speaking.

It is unfortunate that so many people look at these data centers and the current worst-case state of resource availability and conclude wrongly that they are infeasible, but this is a common mistake made by planners, legislators, and members of the general public. They fail to account for how the existence of the data center with its need for resources will trigger the production of facilities to exploit previously unusable resources and make them available, and they fail to recognize that in a true power emergency, they can just turn 90% of it off and shift the load to other data centers.

But the reality of the matter is that nobody is going to build a gigawatt of additional power capacity in Kenya unless the government or some private company that needs power pays them to do it. They already have a 23 to 30% surplus compared with their worst-case power consumption. That means that adding more production will just drive power prices down, so they'll get less money for the power they produce.

But as soon as someone like Microsoft starts needing enough power to pull those margins down, suddenly additional capacity becomes economically feasible, and you'll see either existing power companies expanding or new power companies entering the market. And the existence of an all-but-guaranteed higher future demand is the key to making that happen. Without the data center being approved, that motive to expand does not exist, and the grid will likely stay at or near its currently levels unless the government forces the hand of the market by paying someone to build more generating capacity.

FTFY.

If they weren't ripping people of with every purchase there would no need for a "discount". I was the "guy" who was forced to replace our really nice Commodore Pet computers with that crApple BS in HS. Apple never did anything for the schools that they didn't get paid for. Their software SUCKS, their networking SUCKS. In an effort to be "cool" and trendy apple has made supporting their stuff annoying time consuming.

GM's future is so dull that they sold their shades. A company that has no future needs very few employees. If the US allowed Chinese imports the US companies would be gone already.

What I'm saying is that if everyone had IPv6 in their homes and offices, remote access wouldn't require all the silly cloud server games. You could just hit the device directly by its IPv6 address, and assuming your router suppoerts UPNP pinholes, you're done. You'd need dynamic DNS and that's it.

An emergency stop button in the app should be able to do the same thing. If that's not possible, it's a rather bad design flaw.

Also, if something jams in a way that could cause meaningful damage (beyond having to brush blobs of filament off of the hot end) and the printer doesn't detect it, that's also a rather bad design flaw.

AI is important and will change the world (it already has).

But most of it's proponents are foolishly speculating that it will advance at a significant rate, rather than stagnate where it is now.

There will be minor advances in it, but the truth is the upgrades we have seen over the past couple of years are entirely incremental changes brought about my massively expanding processing power, memory and database creation.

There have been NO revoltionary advances. None. It is not growing.

We are discovering ways for us to use it, not expanding it's capabilities.

AI hallucinates. AI can easily be tricked by a devious human to violate the rules it was created with. AI lies about it's own reasoning. Like any other computer program, it can do math really really well and most humans do not realize how many things are just math.

But it does not do a whole bunch of things, including ethics, morality, and be trusted.

Like other forms of computer programming, to get the most out it you need a human in the loop. It helps to automate certain tasks, but cannot be trusted to do them by itself.

AI is not an Industrial Revolution, it is more like the invention of rubber. Important and will become wide spread, but ultimately just a single invention that, while helpful, will not continue a process of advancements. It will just take us humans a few years to figure out all the ways we can use it, rather than become an essential part of everything.

Oh, this Artificial Intelligence is not REALLY self aware it was just programmed to pretend to be self aware!

I would want a lot more proof before denying self interest than their word.

But honestly, these machines are not intelligent, they prediction machines trained to seek human confirmation/approval.

A lot of social behavior is rather simple and not an indication of intelligence (see insects/ants keeping livestock/slaves.) Prejudice is merely paranoia with an exception for members of your community.

People are easily fooled by simple things like a parrot that appears to talk. Or an AI that appears to engage in conversation.