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aschla

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The datacenter outrage is mislabeled. It's actually zoning outrage, caused by local governments that aren't taking their citizen's concerns seriously. It just so happens that datacenters are the hottest (no pun intended) industrial construction option right now.

So are we now at the point in the hype lifecycle for AI, where the crypto bros have learned they can vibecode fake projects to scam people out of money?

We've already had consolidation of education for a while now. Even before all the edutech courses, there were Youtubers educating better than many university professors. 10-15 years ago students were already skipping lectures and just showing up for tests.

The upcoming Prusa support for INDX (by Bondtech) is going to be interesting, especially for business use cases where waste is a primary concern.

https://www.prusa3d.com/product/indx-conversion-kit-8-toolhe...

The main thing keeping me from making the multi-material jump is the waste. I have a couple Vorons and would love to be able to print with different materials at the same time, but the waste with the current solutions is so egregious.

Prusa is generally like Apple in that regard, in that they wait for the new technology to be tried and true before committing their design(s) to it. CoreXY is the most prominent example.

Prusa was actually the "non-technical" printer company for quite a while though. They would sell to schools and libraries, and still do, and offer(ed) assembled kits.

I don't own a Prusa, I've assembled Vorons and have a highly-modified Ender 3 S1, but if I was in the market to get a user-friendly printer, or recommend one, I'd get a Prusa.

My conspiracy theory is the whole AI datacenter water consumption outrage is a psyop by state actors to worsen public sentiment around AI, so China and others can catch up. Obviously we should lessen the environmental impact of our technology, while considering it's relative impact vs benefit, especially compared to other technology, in this case in particular to other datacenter usage.

But it's comical to see the average person commenting online, outraged at new datacenters and their water usage (separating this from legitimate zoning issues), when all their posts are in fact being transmitted, stored, and served by relatively similar datacenters.

Is the average person allergic to asking follow-up questions?

I'll never understand the people who stand in line for an hour for "Free donut day" or something similar. You really value a $1.50 donut equal to an hour of your time?

Cancelled my Prime subscription last month after the past year of worsening experiences with Amazon:

Received several orders that were returned items, with broken open packaging and sometimes the item was something else entirely, purely put there for weight by whoever returned it.

When I went to return some things at a major Amazon distribution center, the return area was closed for the week for some sort of construction or renovation, with no indication of that anywhere on the site. The only messaging was a piece of paper in the window once you got there.

At another separate major distribution center, the return area was a small room with pieces of paper taped to a door with an arrow pointing to the Amazon lockers where the returns are accepted.

Orders are now often so delayed that it makes the Prime subscription pointless. Have had multiple orders over the past year that didn't ship for 3 or 4 days.

Amazon listings are almost half Sponsored listings now, and there are unrelated ads on the side of listings.

Half of the listings are some random made-up brand name, like XIJGNU, which is just a Chinese seller selling low-quality products, and when the reviews get bad enough, they re-list the product under another made-up brand name.

Fake reviews were already rampant before LLMs, but now reviews are effectively useless because they are so easy to fake.

I choose to use frameworks in the same sense I choose to use crypto libraries. Smarter people have thought long and hard about the problems involved, and came up with the best ways to solve them.

Why have the agents redo all of that if it's not absolutely necessary? Which it probably isn't for ~98% of cases.

Also, the models are trained on code which predominantly uses frameworks, so it'll probably trend toward the average anyway and produce a variant of what already exists in frameworks.

In the cases where it might make sense, maybe the benefit then is the ability to take and use piecemeal parts of a framework or library and tailor it to your specific case, without importing the entire framework/library.

Experiencing the same. It seems Anthropic’s human-focused design choices are becoming a differentiator.

It seems to be an ever-present trait of modern business. There is no rigor, probably partly because most business professionals have never learned how to properly approach and analyze data.

Can't tell you how many times I've seen product managers making decisions based on a few hundred analytics events, trying to glean insight where there is none.

This is a silly bill. I'm struggling to imagine how this would be practically implemented and enforced.

The details in the bill mention inserting a "firearms blueprint detection algorithm" in either the firmware of the printer, or in the slicer, which can detect a file based on its presence in a database of known downloadable firearm files.

Are the people who drafted this bill aware that firearm parts can be modeled relatively easily in any flavor of CAD software, which would make a known list of files essentially pointless? Even someone who doesn't have CAD skills can just download another file in the endless stream of possible files, all with small modifications to differentiate the file hash.

And then there's the whole open-source side of 3D printing, which involves a significant share of machines, where this approach would essentially be completely unenforceable.

This is one of those pieces of regulation that doesn't actually prevent criminals from acquiring firearms, it just makes regular people's lives more difficult.

It likely is acceptable for business-focused code. Compared to a lot of code written by humans, even if the AI code is less than optimal, it's probably better quality than what many humans will write. I think we can all share some horror stories of what we've seen pushed to production.

Executives/product managers/sales often only really care about getting the product working well enough to sell it.

Don't know about the others, but Illinois permanently shut down (and demolished or repurposed the land) the majority of its coal power plants over the past couple decades.

Illinois gets about half its power from nuclear (we have 6 plants and 11 reactors), followed by natural gas at around 20%, and then about equal amounts of coal and wind, at around 10-15%.

So Illinois is actually a pretty decent place to build datacenters, from a clean power generation perspective.

https://www.eia.gov/state/analysis.php?sid=IL

Agreed. It's more practical to tell seniors that all gift card requests are scams rather than teaching them to identify warning signs, since legitimate gift card payments are so rare.

I'm not particularly old yet, in my mid-thirties, but I reacted like someone much older when I learned kids are allowed to carry around their phones all day at school.

Back in my day (when we walked to school uphill both ways), we weren't allowed to carry around basic flip phones. They had to be in our locker and only used before or after school.

When and why did it become acceptable for much more distracting and stimulating devices to be allowed in class?