Garuda.

I’d never used Arch or Arch derivatives but if this is the experience I understand the memes a little more.

The package management is easy and very up to date. I like the BTRFS snapshots, and it had everything game-related available right out of the box. My Nvidia graphics card, which was the thing I couldn’t get working on Ubuntu, performed as well or better than under windows.

The only thing that didn’t work for me was ZFS - but because everything else was working well, I just went another route.

Longtime every OS user. But have been using Linux since the days of Mandrake in ‘96. Switched to Debian shortly thereafter though mostly as a server/SDN device. Then a long spell on Ubuntu starting with 8.something. While I don’t use Linux on the desktop as my primary work OS, I do use it daily.

Recently, annoyed with windows, which I only used/booted up for gaming, I gave gaming on Linux a try. It’s been mostly flawless even when the games aren’t Linux-native. Hilariously Ubuntu was awful and I couldn’t get it working so I’ve switched to something more gaming specific and couldn’t happier.

You can hear Brian Schul tell it himself: https://youtu.be/8AyHH9G9et0?si=5aes_aeiIT3bIlsX

Neat, I’ll have to look it up. Thanks for sharing!

Nextcloud isn’t exposed, only a WireGuard connection allows for remote access to Nextcloud on my network.

The whole family has WireGuard on their laptops and phones.

They love it, because using WireGuard also means they get a by-default ad-free/tracker-free browsing experience.

Yes, this means I can’t share files securely with outsiders. It’s not a huge problem.

You’re conferring a level of agency where none exists.

It appears to “understand.” It appears to be “knowledgeable. “

But LLMs do neither of those things.

Take this note from an OpenAI dev:

It’s that these models have leveraged so much data they’ve been able to map out relationships between words (or images) in way as to be able to generate what seem like new versions of those things.

I grant you that an LLM has more base level knowledge than any one human, but again this is thanks to terrifyingly large dataset and a design that means it can access this data reasonably reliably.

But it is still a prediction model. It just has more context, better design and (most importantly) data to make predictions at a level never before seen.

If you’ve ever had a chance to play with a model at level where you can control some of its basic parameters it offers a glimpse into just how much of a prediction machine it can be.

My favourite game for a while was to give midjourney a wildly vague prompt but crank the chaos up to 100 (literally the chaos flag at the highest level) to see what kind of wild connections exist but are being filtered out during “normal” use.

The same with the GPT-3.5 API in the “early days” - you could return multiple versions of the response and see the sausage being made to a very small degree.

It doesn’t take away from the sense of magic using these tools. It just helps frame what’s going on under the hood.

Thanks for confirming something I thought true. I’ve always been a generous tipper not because I like tipping culture, but because in the absence of an alternative it seems awful to punish the people working hard to scrape together a living by catering to my laziness.

However, I’ve noticed that I almost always get food that’s ordered through these services very quickly – although my small sample size is anecdotal at best. But like you, I don’t order through the apps if I can help it.

Update: I went and had a look and there’s a Terraform provider for OPNSense under active development - it covers firewall rules, some unbound configuration options and Wireguard, which is definitely more than enough to get started.

I also found a guide on how to replicate pfBlocker’s functionality on OPNSense that isn’t terribly complicated.

So much of my original comment below is less-than-accurate.

OPNSense is for some, like me, not a viable alternative. pfBlockerNG in particular is the killer feature for me that has no equivalent on OPNSense. If it did I’d switch in a heartbeat.

If I have to go without pfBlockerNG, then I’d likely turn to something that had more “configuration as code” options like VyOS.

Still, it’s nice to know that a fork of a fork of m0n0wall can keep the lights on, and do right by users.

If you backup your config now, you’d be able to apply the config to CE 2.7.x.

While this would limit you to an x86 type device, you wouldn’t be out of options.

I am an owner of an SG-3100 as well (we don’t use it anymore), but that device was what soured me on Netgate after using pfSense on a DIY router at our office for years…

I continued to use pfSense because of the sunk costs involved (time, experience, knowledge). This is likely the turning point.

Name was different, resume exactly the same. It was probably a scam or the folks applying were scammed in someway. Someone on our team told us stories of scummy “we’ll get you a tech job” services in their country and this “copied resume” phenomenon was par for the course.

I don’t believe you are in a bubble. My experience matches with your initial assertion. We just recently hired for 3 SRE roles.

Hundreds of applicants in a 24 hour window.

We had people using some kind of LLM tool during interviews, obviously so. Others were sharing the same resume with only slight modifications, and plenty of folks who couldn’t pass the screening call or a very simple tech interview.

We also had wildly unprofessional candidates who were no-shows, or had profane/NSFW desktops or couldn’t even use a terminal - for an SRE role.

So no, you’re not alone. The great candidates get hired, headhunted even.

deleted by creator

Thanks for engaging!

I should comment on my poorly phrased use of “invite only” -> I mean that from the creators’ perspective in case I fumbled that one. IE, I can’t just decide to share on Nebula, I have to be invited (seemingly by the creator personally? Ref: https://www.theverge.com/23076663/nebula-youtube-creator-business-future-startup-ceo-dave-wiskus).

As a former Nebula subscriber, here’s my hot take: it also has no real community and no chance for exposure to the up-and-comer (IE no way to breakout since it seems invite only?)

I’ve found so many great YouTube channels filled with deep experience and expertise before they “catch on” (and some never “catch on”). The ability to find the small, powerful voice who’s just trying to share knowledge…

I’m not defending YouTube/Alphabet here (as a company they’re no better than any other), I just think Nebula isn’t a great alternative and unless things change, can never be. It’s a walled garden in too many ways (paywall/creator invitations).

In the year I subscribed to Nebula, I mostly watched the same videos on YouTube. If they were technical enough there was valuable discussion attached to the video; on Nebula that’s not the case and not possible. Even if it was possible I can’t imagine people fragmenting their discussion spaces between YouTube and a closed ecosystem like Nebula.

Don’t even get me started with their (Nebula) inability to build a video queue -> wasting time and space on a poorly thought-out implementation of Autoplay was a terrible decision that further pushed me off the platform.

It’s sad, I really wanted to like it. But I voted with my dollars and left.

Cluster of Pi4 8GBs. Bought pre-pandemic; love the little things.

Nomad, Consul, Gluster, w/ TrueNas-backed NFS for the big files.

They do all sorts of nifty things for us including Nightscout, LanguageTool OSS, monitoring for ubiquiti, Nextdrive, Grafana (which I use for home monitoring - temps/humidity with alerts), Prometheus & Mimir, Postgres, Codeserver.

Basically I use them to schedule dockerized services I want to run or am interested in playing with/learning.

Also I use Rapsberry Pi zero 2 w’s with Shairport-sync (https://github.com/mikebrady/shairport-sync ) as Airplay 2 streaming bridges for audio equipment that isn’t networked or doesn’t support AirPlay 2.

I’m not sure I’d buy a Pi4 today; but they’ve been great so far.

I look forward to the day we can use our “dead” car battery as the battery backup for our home.

64kWh * 0.8 is 51kWh.

Even 40kWh would be a great battery paired to a solar system.

The used car batteries could have great second lives.

Discomfort can be a good thing; change is often uncomfortable.

But that’s a far cry from being tortured and it sounds like that’s what Musk does to the people around him; using platitudes and words of wisdom as weapons of control and coercion.

Sort of?

The big tech companies often pay workers well outside the bands of other firms, particularly when you factor in the equity portion of compensation.

We’re interviewing a Googler right now and they’re going to knowingly take a pay cut to join a company that’s fully remote.

Likely this persons’ move isn’t only about it being remote but also that they’d have more agency in a smaller org.

Not downvoted, appreciate you sharing your perspective.

I’ve been successful building trust in remote work settings but it’s a very much about building a narrative that’s much more explicit and communicated in an active way.

But ignoring that bullshit I just typed, I think “building trust” in a professional environment is largely a trap. Not because you can’t trust anyone but that, if you’re building a good team, trust should be implicit. I was hired to do a job, you were hired to do a job, let’s trust that each other to do it.

I think it’s also worth bearing in mind that high trust teams can still build trust, I’m simply advocating for not starting from zero.

Unfortunately so many of the tools and workflows are built explicitly for low trust teams.