Wow, that’s really impressive. I don’t really know why, but I want this.
Though I initially thought it was handheld, which would make their claim to be able to print on nearly any surface a little more believable. Still seems like incredible tech.
I watched this a couple months ago and the song still randomly pops into my head every so often. Really cool show, with an exceptional intro.
You’re not paranoid, it’s a real pattern, and that pattern is racism. Some white people, in their wildest dreams, can’t imagine how a person of color might get a role instead of a white person. It’s not about skill, it’s not about creativity, it’s not about the quality of the film. It’s just blatant racism.
Remember how the little mermaid live action movie started getting shit before it was even released? That was because the lead actor was black, and peoples’ imaginations are so underdeveloped that they couldn’t see that she is legitimately an amazing talent who played the role just as well if not better than any white lady could have. Now, live action Disney remakes are stupid, so maybe that’s not the best example, but it’s all just racism.
I dunno, I thought she was pretty awesome in Everything Everywhere All At Once.
Borderlands sucked, yeah, but it wasn’t her fault imo.
One of my favorite Japanese dramas, Isekai Izakaya Nobu, based on an anime of the same name, has a plot kind of like this. Lots of fun.
don’t think that FAANG companies realize how toxic their image is
Ain’t that the truth. Their behavior and the products they’ve been launching the last few years prove this to me. They’re completely out of touch with society and what consumers actually want. LLMs are another perfect example of that.
It isn’t just you and me. Not even the people who designed them fully understand why they give the responses they give. It’s a well-known problem. Our understanding is definitely improving over time, but we still don’t fully know how they do it.
Here’s the latest exploration of this topic I could find.
LLMs continue to be one of the least understood mass-market technologies ever
Tracing even a single response takes hours and there’s still a lot of figuring out left to do.
I highly doubt that. For so many reasons. Here’s just a few:
I don’t mean this as an attack on you, but I think you trust the implementation of LLMs way more than they deserve. These are unfinished products. They have some limited potential, but should by no means have any power or control over our lives. Have they really shown you they should be trusted with this kind of power?
This is really cool. The symmetry makes me feel warm and fuzzy.
Not only is no help available, but the Dept of Ed has been pestering borrowers to re-certify their Income-Driven Repayment plan, since Biden’s SAVE plan is blocked by the courts leaving the shitty IDR as the only option for those who can’t afford their full payments (most people, I’d assume). But if you go to the page where you do the recertification, you’ll find that the forms have all been taken down.
It’s purposeful, to cause the maximum amount of pain to the most number of people who are the least likely to be able to handle it. I think a lot of them actually do want to burn it all down, and screw all the people who are harmed in the process. That’s what they want their legacy to be. They don’t want people who aren’t already wealthy to benefit from education.
Casey Newton founded Platformer, after leaving The Verge around 5 years ago. But yeah, I used to listen to Hard Fork, his podcast with Kevin Roose, but I stopped because of how uncritically they cover AI and LLMs. It’s basically the only thing they cover, and yet they are quite gullible and not really realistic about the whole industry. They land some amazing interviews with key players, but never ask hard questions or dive nearly deep enough, so they end up sounding pretty fluffy as ass-kissy. I totally agree with Zitron’s take on their reporting. I constantly found myself wishing they were a lot more cynical and combative.
That’s an interesting article, but it was published in 2022, before LLMs were a thing on anyone’s radar. The results are still incredibly impressive without a doubt, but based on how the researchers explain it, it looks like it was accomplished using deep learning, which isn’t the same as LLMs. Though they’re not entirely unrelated.
Opaque and confusing terminology in this space also just makes it very difficult to determine who or which systems or technology are actually making these advancements. As far as I’m concerned none of this is actual AI, just very powerful algorithmic prediction models. So the claims that an AI system itself has made unique technological advancements, when they are incapable of independent creativity, to me proves that nearly all their touted benefits are still entirely hypothetical right now.
The article explains the problems in great detail.
Here’s just one small section of the text which describes some of them:
All of this certainly makes knowledge and literature more accessible, but it relies entirely on the people who create that knowledge and literature in the first place—that labor that takes time, expertise, and often money. Worse, generative-AI chatbots are presented as oracles that have “learned” from their training data and often don’t cite sources (or cite imaginary sources). This decontextualizes knowledge, prevents humans from collaborating, and makes it harder for writers and researchers to build a reputation and engage in healthy intellectual debate. Generative-AI companies say that their chatbots will themselves make scientific advancements, but those claims are purely hypothetical.
(I originally put this as a top-level comment, my bad.)
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Charred fatty goose breast.
Blew my mind.
That’s one good-looking plate!
This one is a little challenging, and there’s not a ton of research out there, but food sensitivities/allergies aren’t caused by people’s ethnicity or background, but their allergies can be adaptations to environmental and sociocultural stimuli, which can be passed down through families, which could subsequently impact what food they decide to eat.
This article might help explain it better, but there’s a bit of a gap in the research into allergies and genetics, though I’m by no means an expert. Here’s a relevant quote:
Research in general, however, suggests that a complex interplay of socioeconomic, environmental, cultural, and systemic health inequities may influence higher prevalence rates of food allergies in certain marginalized populations.
Your description of those desks totally knocked some of my old memories loose. I remember going to a friend’s house in the late 90s when the first smallish “all-in-one” PCs started coming on the market (before the iMac claimed that space in ‘98). They had their new all-in-one PC set up on a tiny desk in the hallway outside their office. It was there so everyone in the family could use it, but I remember being shocked at how small it was, and so impressed that it didn’t need the whole corner of a room.
Wait, am I the only one who thought that game was an underrated masterpiece? The graphics were gorgeous and performant, and the mission design was intuitive and challenging. I 100%ed every mission, and loved all the investigation mechanics. I was recently thinking about doing a full replay…
Beautiful!