a human doesn't "train" on a novel, because training implies learning to duplicate its structure.

Wait until I tell you what's happening at thousands of college campuses across the nation!

What an amazing non sequitur. You might as well have said, "But humans have hair, and LLMs don't."

Well, they do say the Universe is expanding... now we know why - Galactic Sugar is everywhere.

It's a trade off: you get abundant free energy to run the server, with extreme constraints on cooling because your server is running in the most perfect Thermos bottle ever.

Others are taking the opposite tack: undersea data centers for abundant free cooling at the expense of having to get the power down to your servers.

If had to bet on which one is more practial, I'd go with undersea servers. Build them off the coast of Chile, run cables out from batery-backed solar plants in the Atacama desert.

I think it may be evidence that Amazon has a shitty corporate culture that squeezes every penny it can out its employees.

Corruption can happen anywhere, but it's more likely to happen in totalitarian cultures where people feel like the system is rigged anyway. That's why countries like Russia and China have corruption problems. But I suspect the same feelings of me vs. the system occur in a capitalist enterprise like Amazon where employees are governed by dystopian, rigid, computerized metrics.

The restrictions are a mix of reasonable nuisance management and paranoia about who is flying drones, what they can do, and chain of custody.

Beijing proper is a city with a population density of over 21,000 / km^2 -- so you can imagine the chaos if any tech enthusiast resident could fly a drone without a permit. Except for a couple of free zones in the outer boroughs, New York City restricts drone launcing and landings within the city to flights with a permit and flight plan, because otherwise the sky would be black with drones. Many cities -- both red and blue -- have zone restrictions for drone flights, and those currently hosting World Cup matches have tightened them for the duration of the tournament.

A colleague of mine working for Motorola patented encrypted memory sometime in the 2006-2010 timeframe. Maybe Motorola figured out that AMD was violating their patent and negotiated royalties privately with AMD. I don't know; I don't work at Motorola, but if AMD had to suddenly start paying royalties, it makes sense that they'd remove the feature from lower end, lower margin processors.

Like, it's not transsexuals who are defective, but people who didn't respect Bruce Jenner enough to follow along with his nonsense in 2015?

It sounds like your life has been made very difficult by the existence of trans people. Please, tell us about how difficult it is to live in such a world.

Reminds me of that incredible economic growth we faced in housing right before 2008.

Grading on a curve was meant to hide the fact that some teachers couldn't teach, some could, some wouldn't, and others would. It protected the professor at the expense of the students' education.

And it ruins grades as a marker of achievement or ability. From a student's perspective, if I pay for a course, the result should be that my grade reflects the degree to which I've mastered the material, not the variations between the quality of the students and the quality of the instruction. Grading on a curve allows a deadbeat professor and a deadbeat class to essentially turn the class into a credential mill without the necessity of education.

Students can safely assume that courses graded on a curve are staffed by incompetent or lazy professors, taken by lazy or incompetent students, or quite possibly both. When I was in university, this type of grading was used most often in the general education electives, where the professors didn't really care about the students, and the students didn't care about the subject. To adopt the same approach for mainline courses is to transform the entire university from a place of learning into a credentials broker or diploma mill.

With respect to being a "lying snake," this is the C-Suite, not rank and file employees. When it comes to the C-Suite, such behavior is generally accepted, if not expected, and hardly a reason for firing.

I mean, can you even name the last time a CEO was fired for lying?

The biggest problem with replicating CUDA is not the technical aspects, but finding VC with enough brains to know whom to hire. Most CS grads have the knowledge, but not the drive. Most liberal arts grads have the drive, the creativity, but not the knowledge. You need to find one with both, because creating the next Nvidia killer will require someone who is boring enough to reinvent the wheel, but has enough creativity to find novel solutions to performance problems.

The computer science and hardware engineering behind the hardware and software (Nvidia/CUDA) have been known for decades. The Nvidia hardware could be replicated with FPGAs - notwithstanding any patents Nvidia might have. The software API could be replicated rather easily; parallelism has been known and studied in computer engineering (again) for decades now. What Nvidia did was political - they provided both the hardware and the API to easily use it in one package which could be understood by the C-Suite class. The challenge was never technical, but marketing.

More specifically, you'd need to understand how compilers work, and how to use YACC or bison, or something similar to generate the compiler code for you. You'd have to understand digital logic and how to create logic functions with NAND gates. If you see an FPGA development kit, know what it is, and think to yourself, "What I could do with that..." you're probably a good fit for the job. And you'd need someone willing to bankroll your project until you could demonstrate that you beat Nvidia on something marketable - like floating point performance. Or power consumption.

From an engineering standpoint, what Nvidia has done is trivial - because the solution could be reproduced by an engineer using already known techniques. But what Nvidia did was to combine technical knowledge with an understanding of their market to produce the dominant position they have today. Any computer engineer worth his diploma could produce a design with FPGAs that would beat Nvidia GPUs, but Nvidia did it first.

So even hackers can be replaced by AI now? What is this world coming to?!

In 1998, 1 Mbps of bandwidth cost $1200 per month. Today it is about 10 cents.

I feel your argument lacks merit. In 1998, the average size of an image file on the web was between 2k to 12k, and the average web page was around 100K. Today the average web page is 3M.

1Mbps is certainly cheaper today, but it is also certainly less useful.