The idea has definitely come up that there’s an association between the “globalist” pejorative and anti-Semitism (globalism -> conspiracy that secretly controls the world -> Jewish conspiracy), but it’s not as cut and dry as I thought.
The idea has definitely come up that there’s an association between the “globalist” pejorative and anti-Semitism (globalism -> conspiracy that secretly controls the world -> Jewish conspiracy), but it’s not as cut and dry as I thought.
Not sure how I forgot Stardew. I also have two copies.
Nintendo’s exclusives are where the Switch really shines. Unfortunately, they’re expensive. I’ll echo the DekuDeals recommendation for finding sales.
Other Nintendo titles that are worthwhile, aside from the obvious Breath of the Wild and Tears of the Kingdom and depending on your tastes:
There are also tons of great indie games that play well on Switch (especially handheld):
Firstly, the term “globalists” is an anti-Semitic dogwhistle. Beyond that usage, it’s meaningless.
Secondly, YouTube is riddled with disinformation. This is primarily due to the algorithm which drives receptive users to extremist videos (and skeptical users who might refute those videos away from them). It’s also because it’s a lot more difficult to fact-check spoken language than written language.
To my knowledge, Reddit is owned by private companies and investors. Blackrock and Vanguard have no ownership stake, or a very small and very indirect ownership stake.
For what it’s worth, a significant percentage of every (reasonably liquid) public company on Earth is owned by Vanguard and Blackrock, because those companies manage trillions of dollars in assets (many of which are middle-class people’s retirement investments). They aren’t a conspiracy. They’re asset managers, and mostly passive managers at that.
Into the Breach’s soundtrack is also outstanding, by the same composer for the same developer.
I’m extrinsically motivated, but my definition of “extrinsic” is pretty loose. I’ll do things that aren’t necessary to beat the game (I don’t even need the game to be “beatable”). As long as I’m finishing something and getting a reward for it, I’m content.
I’m having a great time doing side content in Tears of the Kingdom: completing as many shrines and side quests as I can, hoarding materials for armor upgrades, etc. Those are optional objectives that you can truly complete. However, I don’t spend much time experimenting with Ultrahand.
Similarly in Minecraft, I liked accumulating resources in survival mode, but I bounced off of creative mode.
EDIT: apparently my Lemmy app went haywire and posted this about 8 times. Very sorry.
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For now, we’re special.
LLMs are far more training data-intensive, hardware-intensive, and energy-intensive than a human brain. They’re still very much a brute-force method of getting computers to work with language.
Also, how you know it read the book, and not a summary of it, of which there are loads on the internet?
In the case of ChatGPT, it’s hard to tell. OpenAI won’t even reveal what their training dataset was.
Researchers have done some tests to tease this out, and they’re pretty confident that it has read quite a few books and memorized them verbatim. See one of my favorite papers in a while, Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4.
AIs are trained for the equivalent of thousands of human lifetimes (if not more). There’s no precedent for anything like this.
There are a few reasons why music models haven’t exploded the way that large-language models and generative image models have. Maybe the strength of the copyright-holders is part of it, but I think that the technical issues are a bigger obstacle right now.
Generative models are extremely data-inefficient. The Internet is loaded with text and images, but there isn’t as much music.
Language and vision are the two problems that machine learning researchers have been obsessed with for decades. They built up “good” datasets for these problems and “good” benchmarks for models. They also did a lot of work on figuring out how to encode these types of data to make them easier for machine learning models. (I’m particularly thinking of all of the research done on word embeddings, which are still pivotal to large language models.)
Even still, there are fairly impressive models for generative music.
That’s one of the reasons why I joined this instance instead of any of the others.
Right, the phrasing is “copyright-infringing AI assets” rather than a much more controversial “all AI assets, due to copyright-infringement concerns.”
I do think there’s a bigger discussion that we need to have about the ethics and legality of AI training and generation. These models can reproduce exact copies of existing works (see: Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4).
To Pimp a Butterfly - Kendrick Lamar
It’s a hip-hop album with a strong focus on themes of race in America and mental health. Lamar’s lyricism is incredible.
The instrumentation is equally great, drawing inspiration from jazz, funk, and soul.
Same lineup, even better song (audio only): Red.
There are a couple of other recordings from the same lineup, but this seems to be the best performance and recording of the song.