Me too. They had an old address I lived at five years ago. I’m shaking, I’m shaking.
Me too. They had an old address I lived at five years ago. I’m shaking, I’m shaking.
Check with Intel, not whoever you bought the chip from. They extended the warranty and will replace bad chips. For most models I believe it was extended from 1 to 3 years.
I’d be faster without autocorrect than with. I feel like it chooses the wrong word more often than not.
Honestly, I miss the real keyboard from my 2009 Blackberry. No substitute for haptic feedback.
There are a wide range of computer skills. Being able to interact with a word processor extremely efficiently is a highly valuable tech skill. Someone who knows about processor architecture but can’t touch type is arguably more tech-savvy but also less useful in most office jobs. So I’d say that the secretaries were indeed tech-savvy in a way that was useful for their positions.
That’s the sad truth of it. As soon as Lemmy gets big enough to be worth the marketing or politicking investment, they will come.
I’m primarily a Civ 5 player and my issue is not with quick movement or quick combat (both on, of course) but the actual time to process enemy turns. It’s a 14 year old game running on my absolute monster of a gaming PC, but it’s still sluggish, especially with larger maps with more opponents. I can’t imagine the Civ AI is that computationally intensive so I’ve never understood why it takes so long. I’d also like more customization options in cities so they auto-govern better in the late game, which is also a huge time suck especially when going dom.
Interested to see how they implement this. I’ve always thought that the first 150 turns of Civ are a ton of fun, but eventually it turns into a slog. I’ve always wished there were more automation options in the late game, and faster processing of enemy turns.
There are a series of quants available at much smaller sizes such that you don’t need the full size model. The full fp16 model is 23 GB but the fp8 quant is half that, and there are GGUF quants down to 6.8 GB.
Oobabooga is a pretty beginner-friendly solution for running LLMs locally. Models are freely available on Huggingface, but look for GGUF quantizations that will fit in your VRAM. The good thing about GGUFs is that they’re typically offered in a wide range of sizes so you can pick one that will fit on your GPU. If you use all your VRAM and start offloading to system memory then the generation will be far slower.
I’ve had the best results with Noromaid20B and Rose20B quants running on a 16GB 4080. Don’t expect it to be as smart as GPT 4.0, but those models do a pretty good job of following instruction and writing decent prose.
Once you mess around with Oobabooga a bit, I’d highly recommend picking up the SillyTavern front-end. Oobabooga runs the actual model while SillyTavern manages characters, world lore, and offers a wide range of other features including a “visual novel” mode where you can set up character sprites that emote based on the content of the messages. It takes a while to get the hang of but it’s pretty cool.
Okay, science guy, but can I use it to replace human workers? I don’t really get all this computer stuff, but I need something to tell the shareholders.
Or just waiting for it to come out on PC. I can’t justify spending the money on consoles anymore. Squenix probably has a deal with Sony where everything has to be a timed exclusive, but on my end I’m not going to buy a $500 console to play a single game that will eventually come out on PC anyway.
The thing is that I do want to have my subscriptions and favorite channels, and as long as UBO blocks ads, I haven’t fully made the switch to a different front-end.
But it still bothers me that it serves me far-right, religious, and conspiracy theory content given that I’ve never once engaged with any of those topics.
I didn’t read the argument as saying one platform’s behavior excuses the other. I saw it as saying that both are bad.
It certainly doesn’t come across as a defense of either platform to say they’re both infested by Nazis.
I have no idea why you’re being downvoted since you’re 100% correct. I watch one video about gaming and YouTube’s recommendations are all alt-right anti-feminist stuff with Ben Shapiro and Jordan Peterson.
Google surely knows enough about me to know I lean far-left but the algorithm is determined to feed me that slop.
I have no idea from a technical perspective if Odysee’s algorithm is independent from or worse than YouTube’s, but the criticism of YouTube is completely valid.
The graphics weren’t that good considering how long it took to release
The article notes it later on but this is for a period before SOTE launched. It makes perfect sense that they generate less profit in between the year Elden Ring launched and the year the expansion launched. Fires of Rubicon came out during this time period but that’s a more niche game compared to their flagship series.
I play FromSoft games that are very mildly multiplayer, when you want to and if you so choose. Other than that, single player only.
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Neither Meta nor anyone else is hand-curating their dataset. The fact that Facebook is full of grandparents sharing disinformation doesn’t impact what’s in their model.
But all LLMs are going to have accuracy issues because they’re 1) trained on text written by humans who themselves are inaccurate and 2) designed to choose tokens based on probability rather than any internal logic as to whether an answer is factual.
All LLMs are full of shit. That doesn’t mean they’re not fun or even useful in some applications, but you shouldn’t trust anything they write.
I’m sure it’s technically possible to reverse engineer the software, but there are also “dumb” chargers that require no software or app. They’re more reliable and cheaper, and there’s no risk of being locked out when a company stops supporting its software.