jpace121

I don’t think people care about if things pause or not, just why the government has to be involved.

I work in non AI robotics and if we had a system that in the course of doing what we told it to did something we didn’t want it to do (what AI companies called being misaligned) we would call it a bug and fix it with the fix being prioritized based on how bad the thing we didn’t want the robot to do is.

Sometimes preventing the robot from doing dumb stuff also means the robot can’t do smart stuff that it would be able to do if we left some code in. We balance the two factors out based on our understanding of what our customers want.

Obviously LLMs are more complex than what I do, but it doesn’t feel like it’s by THAT much.

So why does the government need to be involved again?

> Why would I use Tauri now?

You’re “backend” isn’t JavaScript.

How late do you think Apple can come to that party and still wind up winning in the end?

Having piles of money when everyone else is lighting it on fire and a brand that would require quite the mistake to ruin gives you a long runway.

Is anyone really profiting from AI yet? I know Google basically saved their search monopoly but any one else?

I would be very surprised if it was publicly available.

Is the demand there at the price point and reliability levels that are currently possible?

That’s a very uncharitable interpretation of what they wrote, and goes outside of how what they wrote is supposed to be interpreted.

The researchers are not claiming that cognitive ability changes would definitely take longer than 21 days to appear, they’re suggesting that that is the next thing to test.

I would also encourage people to look at Podman desktop which has pretty good support from Red Hat.

https://podman-desktop.io/

Computer vision based SLAM definitely has use cases and you can definitely make money applying it at the right companies to the right set of problems. Building a whole career around a single technique, any technique, probably is probably not gonna work. You need to be broader than that.

I’ve worked on plenty of problems where all you need is to find what pixels are a specific color. While I’m sure a NN could be setup for that, why make things harder than they have to be?

I’ve found C# pleasant to write in, and I get a bad feeling every time I deal with npm. On the other hand the library support for React is just so much better so I put up with it.

EDIT: I’m not a web dev, the web is just the most consistent UI platform for supporting mobile and some desktop we have now so that definitely influences my opinion.

I looked before I started using Let’s Encrypt for some internal stuff and there really isn’t a way to use name constraints in a practical way with modern web browsers at this point. If you’re not using a browser, things get a lot easier, but for browsers you sort of got to suck up that you can’t really avoid the “big” internet.

I don’t think it’s really the opposite opinion.

To pick on the game of Go as an example, the insight from the Bitter Lesson is the best method to use for Go is probably going to be the most broad method that abuses the magic of brute force the most, compared to a method that really encodes the best existing strategies of Go.

I think what OP is referring to and what I’ve observed is that in some fields you have to have a certain amount of expertise to just understand the rules of the game, and there are a lot of applications where someone approaching a problem with the goal of applying ML can’t quite get over the hump of understanding all the rules.

The examples all look reasonably modern, to the extent that you could use good C++11 without fighting the library.

You could get a C++ job. One of the issues with C++ is most people using it for anything useful only need to know some particular subset, only actually know that subset, and then get bit when the subset they know changes.

Forgejo currently is only applying branding changes and currently plans on being a soft fork. I think it’s existence is a good thing for the ecosystem (if Gitea the Company did something wonky, there will be an organized group already doing releases ready to go), but I’m not sure there is a huge benefit in running it, at this juncture.

Are there frameworks people recommend that don’t require JavaScript on the backend?

“ Wow is the web a weird application delivery mechanism where people are writing applications and then essentially compiling them down to binaries using WebAssembly, but weirdly shoehorning it into a hypertext framework”

I thought this was an interesting quote from the article that relates back to something I’ve been thinking about as I’ve started to look at writing apps that run any where and realized that forces you into writing a web app, but web apps kind of suck because at the end of the day you’re really writing a website not an app…

I wonder if you could at this point reinvent the browser so it was specialized for web apps not sites, and what that would even look like.

I was not planning on buying a train set but now I may be… This looks way too fun.

This. Google’s policy is kind of dumb (I write a lot of stuff for fun that no one wants the ownership of… The primary value is I learned something that I can use later on something important),but pretty much any experimental thing some one at Google works on will wind up there even on their free time.

Podman implemented Dockers REST API as part of either the Podman 3 or 4 release (whichever one is in Debian stable), and I’ve been able to use docker-compose with it since then.

Podman has fairly good support for k8s deployment configurations, which I’ve used as well, if you’re a k8s shop, but I understand there are a lot of places that have standardized on compose for development.

Has anyone ran gitea at a company?

I’m pro open source and run gitea at home, but looking at their issue list and pull requests it doesn’t really come off as a mature open source project that I’d want to run my company from, when down time at the wrong time can get really expensive.

It’s very interesting to see how different the responses are. I think if I was in charge at GitLab I would at minimum be trying to determine why.

Lol. At this point Google needs to be very careful about the reputation they have about support for anything outside their core.

I work for a smaller company running most of our stuff on older Ubuntu LTS versions. While there are things we want to update faster than the distribution does, most of them are leaf packages near the stuff we’re directly working on and are easy enough to either package ourselves or find a more recent package for from a trust worthy source.

It’s really nice to have the rest of the distribution more or less set it and forget it.

Can you explain why? I’ve definitely seen must used in non military contexts. It also seems really strict to limit musts to things specifically laid out in requirements, unless I’m just used to dealing with really loose requirements. My gut is that you’d run into two categories of shoulds, one which is a much bigger deal than the other.

I really wish Red Hats Marketing was less bullshitty sometimes. I’ve been following the RHEL for Edge and RHEL Automotive development and Fedora IOT for a while now, and the technology is really nice, but this article is seemingly buzzword soup…

More likely no one on the Air Force side that was involved actually had access to that.

21.04 is not an LTS with 5 years of support. The latest LTS is 20.04.

It’s implied the OP isn’t considered part of the “public” for this issue.

The strategy of combining simulation with real world data isn't particularly original, nor is the idea of using test tracks. The challenging part is how you do it. This article barely touched on that.