The Mitsubishi Hyper heat can work down to -13F,
The absolutely best resource I’ve found for heat pump research is the NEEP database which will you give you actual BTU outputs at various ambient temperature readings: https://ashp.neep.org/#!/product_list/

Also worth considering a geothermal heat pump depending on your geography, as then you have a guarantee of efficiency all year round
I am conflicted on this one. On one hand, yeah they’re just a platform, and realistically these kids would just go to another messaging service instead, but it also feels like they’re asleep at the wheel when it comes to investigating user reports of abuse.
It’s sort of an all social media thing, because I’ve reported posts selling drugs on FB marketplace too and they ignored them after review.
They quote one of the families in the article reporting a drug dealers account and Snapchat taking no action for months. I’d be willing to bet moderation is an afterthought and likely understaffed for the sheer volume of content on the app.
Compact business desktops like others have mentioned are great. Depending on your needs, I also like using older or used laptops. They’re still power efficient if you get a recent processor model, people sell them for fairly cheap used, and sometimes having an attached keyboard and display is more convenient than having to hook up a crash cart
I wonder what the takeaway was? They successfully designed processors with the m1 & bionic chips, so super curious what blocked them here. Are modems harder to design than processors? Maybe it’s the RF part?
For $350-500 you could easily get a used desktop and processor with 16-32 gb ddr4. But it sort of depends on your home lab goals and workloads. Do you need a lot of storage? Are you CPU bound or memory bound? Some people will suggest used Dell/HP servers, and they’ll look affordable, but keep in mind enterprise gear will eat power and is usually loud. Personally I’d go for a used AMD 5800 or 5900 processor and mobo, install your favorite Linux, and call it a day. AMD processors don’t have quick sync which makes them slightly worse for plex hosting but better for everything else.
Yet another company doing RTO layoffs to avoid paying severance
Yeah, my wife tried one of these services and got terrible results. They really do give better results to certain people’s faces depending on the training set
I think the general consensus is Sorc is one of the weakest classes. For example, look at the unique items added in the latest patch - only the Sorc item has a downside to its unique aspect. The highest tier build I’ve seen for sorc right now I believe is blizzard and that requires the glacial offensive aspect(which is a random drop only vs codex aspect) to work, plus a few other utility aspects to keep your mana up. I had to grind a bit to get a random drop with the blizzard aspect though. Once I changed to that from lightning I had a lot less trouble, and can now solo ancestral dungeons at around my level 75 without getting wrecked. I think at level 100 and high tiers it gets harder because of squishiness since apparently a lot of elites will be able to one shot you without a barrier, but I’m not worried about that yet.
Teslas have some serious issues and shortcomings. And I say that as an owner. FSD is a mess and I don't trust it. The model 3 has some very opinionated design choices. I don't like how it's frameless. The interior is nowhere near as nice as cars in the same price range. There's only 2 usb ports and you need to use one of them for dashcam storage. Maintenance is a pain in the ass to DIY. They remove key features over OTA updates(they took away radar sensors for parking in older model 3s).
However, if you're in the market for a used EV under 30k, you've only got basically 3 options: a rwd model 3, a leaf, or a bolt. The model 3 is the only one of those that has fast charging and can be taken on any sort of longer road trip. And they're cheap to charge at home. And even if you're shopping new, I'm fairly sure the base model 3 is the cheapest EV on the market if you qualify for the full tax credit.
This was a real bummer for anyone interested in running local LLMs. Memory bandwidth is the limiting factor for performance in inference, and the Mac unified memory architecture is one of the relatively cheaper ways to get a lot of memory rather than buying a specialist AI GPU for $5-10k. I was planning to upgrade the memory a bit further than normal on my next MBP upgrade in order to experiment with AI, but now I’m questioning whether the pro chip will be fast enough to be useful.