Harmonic frequencies are more likely to be an issue.

If you have an antenna transmitting at 2.4ghz, you will also see subharmonic bumps at 1.2ghz, 800mhz, etc. A receiver at 800mhz could potentially get “washed out”, or overpowered, by a 2.4ghz transmitter that is too close simply because of subharmonics.

Transmitters aren’t perfect either. While you can get really strong transmissions at very specific frequencies that can propagate really far, electronics resonate at many frequencies and that resonance will make it to a TX antenna as noise.

Unless the antennas are designed to work together, you shouldn’t put them that close together. (I am also speculating that in extreme cases, a weird configuration like that could detune the transmitter antenna in a such a way that it would blow out the transmission circuit. I dunno about that though.)

Yeah, I tried to steer clear commenting on whatever people choose to follow politically or socially. It is a highly curated echo-chamber, is my point. (Most social media rabbit holes are echo-chambers, but ml wins awards for that.)

Just ignore ml. If you got banned for not knowing their version of whatever, you probably are just going to get banned again later.

For once, I am not knocking on ml for being ml, it’s just a very odd instance when it comes to social interaction. You must subscribe to the hive mind 100% … or else.

I thought the same. However, if they are using top-down pictures of a heard of cattle, they probably need a quicker way to get a body temperature estimate from the overall heat gradient over the cow. I suppose they are just using a basic ANN to match pictures of cattle to manually measured rectal temperatures. Yeah its still AI, but likely a more traditional model which is probably closer to face recognition or handwriting recognition.

It makes sense and is fairly simple. The article is just AI click bait though.

Brown rice has more nutrients which makes it ideal for fungi and bacteria growth, if anyone was wondering. (I start developing mycelium in brown rice for just that reason.)

Air, water, AIO, whatever. If it cools well, use it. I just prefer AIOs and there really isn’t any maintenance, was my main point. There are always tradeoffs between AIO, air or a proper water rig, so there is that. (Fans are crazy quiet these days, but when I made the switch, it was mainly for noise. I always run an overclock, so my fans were always hauling ass which probably isn’t needed now.)

Ultimately, I prefer AIOs for the way airflow is managed. It’s not better or worse than air in many instances, but I like working with a radiator rather than a chonky heatsink.

I cannot disagree though: zero maintenance is better than maybe-maintenance. Like I said, it’s about tradeoffs. (I can still make my PC sound like a fucking jet engine, though. Noctua server fans kick ass.)

I have been exclusively using AIOs for years now. Generally, by the time they need maintenance, its already time for a major hardware update and rebuild anyway. That is, of course, if it is serviceable. This depends on the quality of the AIO you buy, TBH. I had a first-gen Corsair AIO start to get audible air bubbles on startup, but it’s long since been recycled.

I am sure other people have some kind of horror story about an AIO leaking or something, but in general, they don’t really need to be maintained if it actually is a sealed system.

Please don’t teach kids to insert all-caps words into their sentences. If you need to emphasize a word on the Internet, you can italicize.

The quality of the app still depends on the quality of the developer. The developers ability to limit which parts of the project are modified by the agent is kinda important as it’s all too easy to get swept up in how confident AI agents seem when it suggests code changes.

I use AI agents to code a ton of personal stuff, but I also understand the code it generates. If a person just turns an agent loose with implementing a dozen features while trying to fix bugs at the same time, they are going to have a bad time. AI coding agents can lose context, refuse to fix bugs, lie and even argue about code problems.

AI is just like any other tool: Use it correctly and where applicable. The second a person starts blindly trusting vibe code, it’s game over.

My personal opinion is that vibe coding is generally bad for public facing projects where security and stability is a real concern. It’s just too easy to get lazy and forget to review code.

Between 250°F-275°F for about 30mins should kill most of anything harmful and you should be able to consume your pinecones with no worries.

Just stops loading. The “no more posts” message makes it easier to see now, but prior to that, it would just stop with no errors.

Ah ha! I got closure so thanks for the info! https://lemmy.ca/comment/20235503

Also, I have been hounding you with this issue for a long time. I can make a note about it (if it gets worse) after each new version release, or just leave it be. My point is if there is a better way you want me to keep checking and/or reporting this bug, let me know.

Ok, on 332 and there is still an issue. Sorry for the screenshot post, especially with data, but I exclusively use Lemmy on my phone with Connect only. (My apologies if this turns out to be a red herring.)

I had a feeling that there is a difference between the loading behavior when using two different ways to refresh the feed. Either [Right Side Menu -> Refresh] and [Main Menu -> Click All].

Using the Main Menu and clicking All seems to yield slightly better feed loading behavior before it hangs.

Obviously this is non-scientific, but I reloaded feed and speed scrolled till the feed hung and recorded the last page number. It’s not an even number of test scrolls, as I just kept doing it until each test set looked about the same length:

The tread depth is just fine. Got another million miles on those babies!

If you keep flour in the kitchen, roll the steak around in some after you cut it up. It’ll keep the steak just a bit more moist when you brown it and it’ll help thicken up the juices a bit too. (It’s one of those “just right” things. You don’t want to just dust it, but you aren’t trying to make fried chicken either.)

The highest estimate I could find was 167k KIA for Ukraine which aligns with other estimates of 500k total casualties. 1:3 is a fairly standard KIA/casualties estimate for many conflicts.

Ukraine is notoriously tight-lipped about their casualty counts though. As with any conflict, expect inflated/deflated estimates depending on who is stating them.

It’s within reason for a 1:3 (up to about 1:5) Ukranian/Russian casualty comparison, given the difference in tactics between the two sides. (Agree or not, Russia historically uses scorched earth and mass to fight wars.)

Unfortunately, you can get high/low estimates from all over the place. The actual numbers may never be known or not known for years after the conflict is over. Orgs that do verified tracking are generally very low with their numbers.

That is a shit way to normalize numbers like that, but averaging out all “officially” reported data and jamming them against rough ratios is all we really have.

(Edit: A recent escalation in Russian casualties is plausible as their access to new/replacement equipment has been reduced significantly. Dig a little into sources that scour satellite photos of tank depots or how sanctions are affecting manufacturing for more info. It’s a deep rabbit hole, but data is out there.)

Lag is gone, thank you. I got to around page 46 on my longest attempt.

The feed can still stop at times, and when it does, it’s around page 10 or so. I’ll take a peek at the network traffic later to see if there is something cutting the network traffic. (I might see a RST or something from an intermediate… dunno.)

You can interpret anything how you choose, kind of like we have to do with your grammar.

You are missing my point, but I also wasn’t clear enough. In proper context, we are saying the same thing.

I worded that sentence carefully, as to your point, I don’t actually want to tell people to go to Reddit. However, each platform is unique in its own way. If someone wants the Reddit experience, that is the only place they are going to find it. Reddit content is generally curated algorithmically while Lemmy content is not. It’s could be the same articles on the same day, but two different experiences.

OP was referring to reposting content for someone who seemed to be looking for the same volume of content that is on Reddit that is heavily sorted, unless I missed something. I was just saying that this platform doesn’t really support that kind of thing in a constructive way. The articles and the presentation combined make the platform “content”.

Something similar has been done before and it was really easy to spot. I won’t get into the details, but it was really trashy. There are other communities that try to copy Reddit already and I block most of them.

Communities driven by one persons posts or by a cluster of bots generally suck. Yes, communities must start with only one person, but if nobody else likes the idea and the community doesn’t drive participation from Lemmy as a whole, it’s simply noise.

Post content that you like, in communities that matter to you. If you like a particular strain of content, start a new community. People will join or they won’t. Read the room and continue driving the community, or don’t.

Automated posts have their place, but most people can spot it fairly quick. It generally doesn’t drive participation as much as organic posts.

Bluntly though, if you want Reddit content, go to Reddit. Lemmy isn’t Reddit and that is what people generally like about it.