rthnbgrredf

> demonstrably not true ... all also run on Linux

I'm not saying that it can't run in Linux, I'm saying there is no native binary for Linux.

They have bash scripts that starts the windows executables in wine.

You can see that when you read the scripts or in htop.

If you are in an enterprise setting and you currently evaluate ArcGIS vs QGIS, pick QGIS and thank me later. ArcGIS Enterprise is a piece of software that feels straight out of the 90s and has no native linux binary (can be started with wine). It is expensive as hell and resource hungry.

While survivor bias is relevant, I strongly doubt any modern transaction stored digitally in a DB such as Postgres could last 5k years.

I think it is all well and good, but the most affordable option is probably still to buy a used MacBook with 16/32 or 64 GB (depending on the budget) unified memory and install Asahi Linux for tinkering.

Graphics cards with decent amount of memory are still massively overpriced (even used), big, noisy and draw a lot of energy.

I think it could be worthwhile to fork Alpine and maintain a glibc variant. That way we would keep nearly all of Alpine’s advantages while avoiding the drawbacks of musl.

Bare-metal servers sound super cheap when you look at the price tag, and yeah, you get a lot of raw power for the money. But once you’re in an enterprise setup, the real cost isn’t the hardware at all, it’s the people needed to keep everything running.

If you go this route, you’ve got to build out your own stack for security, global delivery, databases, storage, orchestration, networking ... the whole deal. That means juggling a bunch of different tools, patching stuff, fixing breakage at 3 a.m., and scaling it all when things grow. Pretty soon you need way more engineers, and the “cheap” servers don’t feel so cheap anymore.

I haven't thought that the game is actually that hard. However, Hateris actually is https://github.com/qntm/hatetris

In case known VPN providers are blocked you can pick a small VPS from a hoster like Hetzner and setup your own VPN.

Used ThinkPads from eBay, especially the smaller models from the X-Series, can make surprisingly cost effective "MiniPCs".

If you need multiple devices, as mentioned in the article, you can even stack the laptops and build a small tower of "MiniPCs" all with different purposes.

Another advantage is that they already come with a built-in screen and keyboard allowing for quick debugging, without needing to connect external peripherals.

Do you have a green filter on all of your images to make it look more creepy?

TLDR; 100 prompts, which is roughly my daily usage, use about 24 Wh total, which is like running a 10 W LED for 2.4 hours.

By the way, that happens quite frequently. I regularly ask them about new AWS technologies or recent changes, and most of the time they are not aware. They usually say they will call back later after doing some research.

Elaborate.

Your personal experience is valuable but does not generalize in this case. I have 8.8.8.8 and 1.1.1.1 (failover) set up for ever never experienced an outage.

ArcGIS Online has a bunch of limitations that makes it insufficient for many enterprises. I hope this will change in the future and their SaaS offering will have feature parity at some point.

GIS is truly impressive from a user's perspective: intuitive, powerful, and full possibilities. However, from a sysadmin's point of view, hosting an ArcGIS Enterprise setup - the market leader in this space - can quickly turn into a complex and frustrating experience.

While I don't disagree with your comment, I would say that a that a large language model, and a Docker build with a complex Dockerfile, where not every version is exactly pinned down, are quite similar. You might have updates from the base image, you might have updates from one of the thousands of dependencies. And each day you rebuild the image, you will get a different checksum. Similar to how you get different answers from the LLM. And just like you can get wrong answers from the LLM, you can also get Docker builds that start to behave differently over time.

So this is how it often is in practice. Then there is the possibility to pin down every version, and also some large language models support temperature 0. This is more in the realm of determinism.

This seems like an excellent future use case for a fully automated process by a large language model that translates a non-trivial C codebase to Safe Rust in under an hour with high accuracy. However, as the author noted, even after some attempts with Cursor at the end of development, the tool wasn't able to accelerate the translation effectively (in mid-2025). So while the potential is promising, it appears we're still some way off.

I think o3-pro is just o3-very-high. And for my taste it is a bit too high.

Yes, but php-fpm already has this kind of information for you: https://www.inanzzz.com/index.php/post/6cn7/formatting-php-f...

You can print the time, cpu and memory usage per request and build metrics based on these outputs. This can be done in any major cloud, with open source tooling and even with simple linux coretuils. One tool to visualize such metrics is Grafana.

> You can be practically certain that every notable LLM has been trained on it.

But only Meta was kind of not so smart to publicly admit it.

Be aware of the the recent license change of "Open"WebUI. It is no longer open source.

It should be feasible to rewrite the coreitils like ls, cd and cp in Lean 4 together with Cursor within days. Rsync and ssh are more complex though.

That perspective seems too limited. Why not simply ignore the judge's order altogether?

I think the assumption that more than 50% of people are cheating in online chess is not correct. Another Grandmaster and ex-world champion Anand recently also did a match against 70k people and won.

Smart Boss: And what did you actually do?

I think he has

How about a Camera directed at the screen, from an angle not visible by your webcam?

18 PB is not a trivial amount of storage. I think what most people always underestimate is how much engineering effort it takes in the background to keep such big infrastructure up and running reliably.

I would like to have a detailed total cost of ownership calculation. Of course, renting hardware - let's say in Hetzner or some other cheap provider - is always cheaper than AWS or any other major cloud provider in simple 1:1 pricing comparison. So that is nothing new. But the pure CPU/RAM/SSD costs is just a fraction of what it really costs to run such infrastructure.

They first need to substantially grow the user base as we saw with OpenWebUI, only then make an Enterprise offering and switch the license from one day to another.