Yoko, Shinobu ni, eto… 🤔
עַם יִשְׂרָאֵל חַי Slava Ukraini 🇺🇦 ❤️ 🇮🇱
ROCm is decent right now, I can do deep learning stuff and CUDA programming with it with an AMD APU. However, ollama doesn’t work out-of-the-box yet with APUs, but users seem to say that it works with dedicated AMD GPUs.
As for Mixtral8x7b, I couldn’t run it on a system with 32GB of RAM and an RTX 2070S with 8GB of VRAM, I’ll probably try with another system soon [EDIT: I actually got the default version (mixtral:instruct) running with 32GB of RAM and 8GB of VRAM (RTX 2070S).] That same system also runs CodeLlama-34B fine.
So far I’m happy with Mistral 7b, it’s extremely fast on my RTX 2070S, and it’s not really slow when running in CPU-mode on an AMD Ryzen 7. Its speed is okayish (~1 token/sec) when I try it in CPU-mode on an old Thinkpad T480 with an 8th gen i5 CPU.
PSA: give open-source LLMs a try folks. If you’re on Linux or macOS, ollama makes it incredibly easy to try most of the popular open-source LLMs like Mistral 7B, Mixtral 8x7B, CodeLlama etc… Obviously it’s faster if you have a CUDA/ROCm-capable GPU, but it still works in CPU-mode too (albeit slow if the model is huge) provided you have enough RAM.
You can combine that with a UI like ollama-webui or a text-based UI like oterm.
Because the title is still vague, and yes GPU and “graphics card” are often used interchangeably by the internet (examples: https://www.hp.com/gb-en/shop/tech-takes/integrated-vs-dedicated-graphics-cards and https://www.ubisoft.com/en-us/help/connectivity-and-performance/article/switching-to-your-pcs-dedicated-gpu/000081045 ).
“New CPU hits 132fps” could wrongly suggest software rendering, which is very different (see for example https://www.gamedeveloper.com/game-platforms/rad-launches-pixomatic----new-software-renderer ) and died more than a decade ago.
Chrono Trigger is really a must if you like JRPGs.
Cabada was injured when part of a Raptor V2 engine broke away during pressure testing at the SpaceX facility in Hawthorne, California. The part, a fuel-controller assembly cover, careened into the SpaceX technician’s head, fracturing his skull.
[…]
The sources told Reuters that senior managers at the Hawthorne site were repeatedly warned about the dangers of rushing the engine’s development, along with inadequate training of staff and testing of components. The part that failed and struck the worker had a flaw that was discovered, but not fixed, before the testing, employees said.
Doesn’t look good at all for SpaceX
Didn’t we all see this coming? Porn deepfakes were already a thing, and even before generative AI we already had people photoshop women in explicit situations.
I’d even say that right now we have much better tools to deal with the fakes than before AI, and all that is required is legislative action.
The tech is already capable of doing automatic facial recognition at scale and we could give victims the tools to automatically send take-down notices and have them enforced.
They’re called MFAs (Made For AdSense), nothing changed since the early AdSense days. It’s unlikely that Google is knowingly boosting them, it’s just that search engines have always been easy to game with artificial link building and keyword density maximization, MFA owners happen to be among the people most likely to invest a lot in cheating their way to the top of search engine rankings. AI only made creating MFAs easier.
we have nVidia who clings selfishly to their proprietary blobs, and I can’t help but wonder how great it could be if they opened that up and let the community in.
Nvidia is doing that because they don’t want people to deploy gaming GPUs in datacenters, and they can currently enforce that through their driver license. That license is what enables them to force most enterprise users to buy expensive A100/H100 datacenter GPUs and rack in really fat margins when a couple of RTX 4090 cards would actually be enough to do the job with good cost efficiency. The control that Nvidia has with that license is not something they’re ready to give up and that’s why they keep giving the middle finger to the FOSS community.
(before anyone mentions vast.ai as a counter-example, those RTX 4090 compute sellers are indeed breaking Nvidia’s EULA)
Looks like the bot’s Google Translate link doesn’t work. If you have Firefox, you can open the original link in German (https://www.zdf.de/nachrichten/wissen/biontech-krebs-forschung-impfstoff-100.html ) and then use the offline translation that’s available in recent Firefox versions, it’s fast and pretty accurate.
I’m not sure what’s new though, as they’ve already stated that goal last year: https://www.theguardian.com/society/2022/oct/16/vaccines-to-treat-cancer-possible-by-2030-say-biontech-founders
For that one no, but another (same person?) parody account does at least report real bugs: https://github.com/mpaland/printf/issues/15
Another fix by Miku-chan (again not in the form of a pull request): https://github.com/lichess-org/lila/issues/5193
Also: https://github.com/EasyRPG/Player/pull/3105 and https://github.com/EasyRPG/Player/pull/3107
Yeah, but I still think if (false)
is silly because it adds an artificial constraint which is to make sure the disabled parts always compile even when you’re not using them. The equivalent of that would be having to check that all the revisions of a single source file compile against your current codebase.
A simple if (false)
will get optimized out by any modern C or C++ compiler with optimizations on, but the problem is that the compiler will still parse and spend time on what’s inside the if-block and it has to be legal code, whereas with the #if 0
trick the whole thing gets yeeted away by the preprocessor before even the compiler gets to look at it regardless of whether that block contains errors or not, it’s literally just a string manipulation.
Your “rarely” seems to be contradicted by the statistics:
When methodologically rigorous research is conducted based on this definition, estimates for the percentage of false reports converge around 2-8%.
For example, Dr. David Lisak and colleagues analyzed sexual assaults reported to a major Northeastern university over a 10-year period to determine the rate of false reporting. Of the 136 reports taken during that period of time, 8 reports, or 5.9% were found to be false (Lisak, Gardinier, Nicksa, & Cote, 2010).
In a study of sexual assault cases reported to the Los Angeles Police Department in 2008, researchers found that rate of false reports was 4.5% (Spohn, White, & Tellis, 2014).
In a multi-site study of 8 US communities involved in the “Making a Difference” (MAD) Project conducted by EVAWI, data were collected by law enforcement agencies for all sexual assault reports received in an 18-24 month period. Of the 2,059 cases that were included in the study, 140 (7%) were classified as false.
Statistics even appear to converge internationally. In an analysis of 2,643 sexual assault cases reported to British police, 8% were classified by the police department as false reports. Yet when researchers applied the official criteria for establishing a false allegation, this figure dropped to 2%. These criteria specified that there must be either “a clear and credible admission by the complainant” or “strong evidential grounds” (Kelly, Lovett, & Regan, 2005).
Source: https://evawintl.org/best_practice_faqs/false-reports-percentage/
So if anything, instead of trying to discredit her or mob-downvote every comment mentioning her story to bury her voice, you might probably want to reweight the odds and start to consider the fact that it’s highly likely she’s not lying.
You can check many of the Sam dick riding contests in the comments in any Sam Altman related thread and how most are advancing the classic “she’s just a gold digger who suddenly remembers he raped her only after he got rich” or “she looks unhinged, story likely made up” theses that are usually used to protect rapists and discredit rape victims, while trying to bury the rape story with massive downvotes every single time.
it’s been really strange seeing so many comments cheering for Sam Altman
It’s the same with Elon’s cult. People probably really believe that Sam is a genius and the one who made ChatGPT (just like Elon’s fanboys really believe that he’s involved with Tesla’s engineering), so they see him, alongside Elon, as a symbol of meritocracy and they get angry at the board for ousting someone just because they’re “afraid” of a “genius”.
She still deserves all of our attention and her voice needs to be heard. She struggles for survival and probably can’t even afford good lawyers to sue him.
He’s also quite openly gay… So him raping his little sister doesn’t make a whole lot of sense
Sexual orientation or even desire are quite irrelevant, as that would apply to pedophiles too otherwise.
She also mentions in her interview with Weil how she has gotten angry at her brother over money on more than one occasion
How could she not be with how she was, according to her, pushed into sex work? Having one of your siblings resort to sex work for survival while your own net worth is more than half a billion dollars definitely means you’re the bad guy no matter whose version is correct and no matter how you look at it.
So Microsoft has no issues with Sam Altman being a rapist?
In the 2000s we had AdSense. So now we’re getting… AISense?