You always hear about big pharma having deep pockets for lobbyists. Why are they not fighting this? I want my yearly vaccine, and they want profits. It’s a win-win situation if they push back on this.

Not really. While I don’t have the exact numbers, the output of an infrared LED is no higher (usually) than an LED in the visible range. My security cameras have an array of 10 or so LEDs.

So looking at a security camera would be roughly equivalent to staring at a light bulb.

Why? If everyone does poorly, everyone should fail, provided the opportunity to learn was there.

This has always seemed overblown to me. If students want to cheat on their coursework, who cares? As long as exams are given in a controlled environment, it’s going to be painfully obvious who actually studied the material and who had ChatGPT do it for them. Re-taking a course is not going to be fun or cheap.

Maybe I’m oversimplifying this, but it feels like proctored testing solves the entire problem.

As the article mentions, this isn’t a security “feature,” it’s anti-competetive. The worst part is that Nextcloud isn’t even really in competition with Google. Setting up a Nextcloud server isn’t hard, but it’s not a trivial task. Sharing it outside your local network also requires a bit of skill, especially if done securely. That is to say, Nextcloud users probably tend to be more tech-savvy.

The people using Nextcloud aren’t going to suddenly decide to switch over to Google Drive. I’ll get it from FDroid before I downgrade to Google Drive. If that wasn’t an option, I’d set up an FTP server or even WebDAV.

Personally, my problem was always that math concepts were never presented in a way that actually made sense in the “real world.”

I was taught that complex numbers were real numbers with imaginary parts that had something to do with the square root of -1. Yeah, I get it, but… why?

Fast forward a few decades and I’m writing code that processes a digitized waveform. Now it makes sense. Math isn’t hard when you have a frame of reference. Learning math concepts solely for the sake of learning them is very hard.

I very much disagree with this. Paying your own rent means you have a place to call your own, even if someone else owns it. Paying a mortgage means you own your own property and have the ability to do whatever you want with it, even if you’re tied to a bank.

At 18, you’re essentially starting your life, and sometimes you need space to do that.

https://www.snopes.com/news/2025/04/11/trump-head-lapel-pin/

Looks like it was one cabinet member, and probably not a requirement.

I totally get how this would be useful in imaging systems, but I’m not understanding how it applies to communications.

The only thing I can think is perhaps carrying more modes through a multimode fiber? I never understood amplifier bandwidth to be a limiting factor, though.

What communications systems use a wide bandwidth of light (300nm is a LOT) into a single amplifier?

Old millennial here. Want to drink at home by yourself while I drink at home by myself?

The fact that something this extreme is actually required to enact political change is absolutely ridiculous, but much respect to him for what he’s doing.

On a practical note, I was thinking the same thing as you. I don’t think I could stand for 17 hours straight. I absolutely could not go 17 hours without a bathroom break.

Out of all the things this administration has done, this one almost seems somewhat logical.

I can understand not having a RealID or passport, since both are mainly for travel. Not everyone has a need or desire to travel.

Section D says a government-issued ID and proof of citizenship is okay. Doesn’t everyone at least have a state ID (probably a drivers license) and a birth certificate?

This is also true of Jellyfin, though. I have apps on my Windows PC, my Android phone, multiple Nvidia Shield boxes on my TVs, plus the web interface if I need it.

I switched over from Plex several years ago, and while it takes a bit more time to configure, compatibility for clients seems just as good for Jellyfin as it is for Plex.

Most importantly, Jellyfin is strictly client/server, no “cloud” bullshit and no remote account is required; I don’t want Plex phoning home with a list of the media on my file server.

Personally, I’d really like the option of running LLMs locally, but the hardware requirements make it hard. Small models run okay on CPU or low-end GPUs, but anything approaching the complexity and usefulness of GPT4 or DeepSeek requires a hefty GPU setup. Considering how much even old hardware like the P40 has gone up in price, it’s hard to justify the cost.

What’s the deal with OpenAI and xAI? Apparently he is no longer on the board of OpenAI but is still a financial backer. Yet he’s also starting a company to compete directly with them. Why sabotage his own interests?

I believe you’re correct. I didn’t realize that I had my containers set to privileged. That would explain why I’ve never had issues with mounting shares.

I’m sorry, I think I gave you bad information. I have my containers set to unprivileged=no. I forgot about the “double negative” in how that flag was described.

So apparently my containers are privileged, so I don’t think I’ve ever tried to do what you are doing.

I’m leaving this here for continuity, but don’t follow what I said here. I have my containers set as privileged. I was wrong.

I have a server that runs Proxmox and a server that runs TrueNAS, so a very similar setup to yours. As long as your LXC is tied to a network adapter that has access to your file server (it almost certainly is unless you’re using multiple NICs and/or VLANs), you should be able to mount shares inside your LXC just like you do on any other Linux machine.

Can you ping your fileserver from inside the container? If so, then the issue is with the configuration in the container itself. Privileged or unprivileged shouldn’t matter here. How are you trying to mount the CIFS share?

Edit: I see that you’re mounting the share in Proxmox and mapping it to your container. You don’t need to do this. Just mount it in the container itself.

I feel like the vast majority of people just want to log onto Chat GPT and ask their questions, not host an open source LLM themselves. I suppose other organizations could host Deepseek, though.

Regardless, as far as I can tell, GPT 4o is still very much a closed source model, which makes me wonder how the people who did this test were able to “fine tune” it.

They say they did this by “finetuning GPT 4o.” How is that even possible? Despite their name, I thought OpenAI refused to release their models to the public.