I'm so incredibly done with people being on a high-horse shitting on advances in AI for no other reason than to feel better about themselves.
Like if your issue is things like copyright and training data? Sure, go off, it's a philosophical argument there about rights, economy, etc. Likewise for arguments about ecological impact (it can be made reasonable there, the companies just don't want to).
But if you're just posting bullshit like "Hahaha, the language model can't do math" or "Look at how it was baited into saying something stupid" as proof that it's worthless: go fuck yourself.
Let alone the people who try to relate AI development to "NFT Bros"... NFTs literally don't do shit, AI actually has multiple proven and valid uses cases but if you think it's the same thing that just shows you have your head up your ass and refuse to look at the world around you.
All of that before getting to the fact that they have shown incredible usefulness for disability accommodations, but I guess it doesn't count if you prefer to be ableist and think we don't need or deserve accommodations?
So tired of people in general right now...
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@Charline yeah, these databases get huge and it becomes a lot harder to restore. a month or two ago I lost a few days to a database crash, this morning's database backup was 4GB. It takes like half an hour to start the database if it's not a clean shutdown (and about as much time to cleanly shut down).
It's kinda a nightmare lol
Charline likes this.
Seriously, if you're not in the US it's important to recognize how catastrophically fucked everything is. Like I actively need to flee the country bad...
youtu.be/MXQ43yyJvgs?si=sTz4zy…
Trump Is Immune
This is one of the worst SCOTUS decisions ever. 📰 Get 40% off of Ground News: https://legaleagle.link/groundnews ⚖️⚖️⚖️ Do you need a great lawyer? I can h...YouTube
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Yeah. Like, if you feel so powerless or hopeless that your impulse is to flee, why not take a chance at redirecting that energy. Point it toward a problem that needs doing.
You can do whatever you want. That's what it means to be free. You can be whoever you want to be, that's the meaning of liberty. If you don't have any ideas, come to me and I'll lend you a hand.
@Ritz-Menardi ... yeah, I'm talking about imminent threat of the loss of freedom for existing.
I'm disabled, I can't do shit, communication and education is all I can offer and I'm doing all I can there.
I'm dependent on others even for my ability to flee...
This is like Germany just before the Holocaust, telling Jews (of which I am also) to fight isn't a great idea at that time.
Disability makes everything more difficult. I get it.
Communication and education are important.
You should do what your heart tells you to do.
@Ritz-Menardi and to be clear, it's not an impulse to flee... it's complete terror because I see the writing on the wall for Hitler 2.0 and it's going to get really really bad before it gets better and if I stick around I'm very unlikely to survive.
Pikuach nefesh, my first duty is to stay alive.
I know. Keep in mind, though, that the propagandic writing-on-the-wall cuts both ways. There are many more of us, than of them.
your first duty is to stay alive. plus, what you can do, you can do from anywhere, so long as the internet remains true. alas, has it ever been? but still it's up to you, what to do. no matter where you are, you'll find friends who will need your heart, your words, your kindness, and whatever other aid you may give.
I'm trans and relatively healthy and strong. in my legs at least. so my choice is a bit different than yours, mine becomes "die now, that others might live or die later, that others might die before me" and frankly that's not a choice at all.
I'm in shock...
An anime I'm watching has a love triangle and then actually had someone say "have you considered polyamory?" (paraphrased)
另类右翼、另类lite、另类左翼中的“另类”是什么?关于作为政治能指的“另类”
原文:journals.sagepub.com/doi/full/…
本文的翻译是笔记式翻译(概述原文,但不包含译者观点),并不完整
What Was the ‘Alt’ in Alt-Right, Alt-Lite, and Alt-Left? On ‘Alt’ as a Political Modifier
另类右翼、另类lite、另类左翼中的“另类”是什么?关于作为政治能指的“另类”
“另类”修饰语最好被理解为是关于政治该怎样进行的偏好的能指。“另类”主要被用来标示其与主流在遵守政治行为规范方面的决裂:也就是拒绝“礼貌”,拥抱下流、尖锐的“幽默”,对政治对手采用对抗的、经常是故意冒犯的方式。
在“另类右翼”一词被谁创造、何时出现的问题上存在着分歧。一些记述将其追溯到2008年11月,旧保守派人物Paul Gottfried在极右翼H.L. Mencken Club发布的演讲,《另类右翼的衰弱与崛起》。其它描述则认为是Richard Spencer创造了这个术语,Spencer本人也认为如此。2010年时Spencer用这个术语作为网站的域名,当时这个网站在语气上还偏好严肃、理智主义、受人尊敬的形象。后来他表示嫌这个词消极且相对主义,而且不想把自己的主意根基于传统左右划分。
尽管Spencer放弃了这个术语,接下来这个词继续偶尔出现在Reddit、4Chan等地方。在2015年,它出人意料地在社媒上爆发。这和早期的“另类右翼”之间存在着核心区别,早期的核心是Spencer,后期“另类右翼”的核心则是各种网络名人,而且没有披上体面、理智主义的外衣,拥抱网络巨魔文化的讽刺、挖苦、堕落幽默感,不像早期的“另类右翼”一样在伪知识分子网站上发布冗长严肃的文章,而是通过“政治正确”和故意冒犯模因来交流。另类右翼的顶峰是川普竞选时期。
Alt-lite(或Alt-light)则是另类右翼用来贬义地描述那些同情,或者与另类右翼有联系,但不表明民族主义或反犹观点的人。他们在仇恨女性主义者、移民等方面与另类右翼一致。他们会使用“言论自由”、“政治正确”等方式,声称自己的批评者过度敏感、不懂幽默,他们有更广泛的媒体影响力与更复杂的策略。它通常不是一个独立的运动,而是在另类右翼的旗下。
另类左翼则是个用来攻击的术语,试图通过声称左翼中也有同样糟糕的、极端主义的群体来攻击左翼。它由特朗普的随口一说和随后几天极右翼网站的专栏开始。最开始只是一种模糊的、哪里都可以用的攻击,后来采用了一种政治马蹄理论的现代版本,再后来用来指一些同样具有讽刺语气、频繁使用模因、反对任何不以阶级为中心的“身份政治”的左翼网络媒体。基本没有人用这个标签来描述自己,几乎是用来攻击一个不存在的运动。后来似乎几乎没什么人使用了。
对于liberals和中间派来说,另类右翼和另类左翼所蕴含的道德等价使他们能够把自己包装为进步政治价值真正的火炬手,不单单能对抗另类右翼,还能对抗另类左翼所谓的性别歧视、种族主义、年龄歧视和在身份政治上的装聋作哑。另外,这种一边是另类左翼,一边是另类右翼的二分框架使得liberals和中间派能够声称:
他们被夹在两种隐秘地有许多共同点的狂热分子之间。这将他们的自由主义,可能还包括一些“温和的共和党人”,的独特品牌,打造为唯一合理的立场,而且是被另类们围攻的那种。
liberals和中间派因此能够将自己描绘为政治房间里唯一的明智成年人。
酷儿 Heather Love
酷儿在跨性别研究中的位置在哪里?酷儿研究和跨性别研究的领域经由共享的历史、方法与对改变性别和性的局外人的处境的承诺连接。 酷儿主要与非规范欲望和性实践相关联,跨性别则主要与非规范性别认同和具身化相关联,从理论上和实践上都难以在它们之间划出一条清晰的界限。 与男同性恋与女同性恋研究、性研究都不同,酷儿研究将自己定义为一个质疑身份的稳定类别的批判性领域。跨性别研究也将自身定义为反对身份的,对两个性别系统被认为具有的稳定性提出了挑战。 这些领域能否、又是在怎样的上下文里,可以被视为截然不同的,这是一个未完的问题;然而,酷儿和跨性别在它们的行动主义承诺、它们的异议方法论和它们对性别和性常规的批判性质询和抵抗中有着连接。
从一开始,对各自分离的身份类别的挑战就是酷儿和跨性别研究的工作的核心。在1980年代晚期和1990年代早期,酷儿以一个行动主义口号的形式浮现,力图在艾滋病危机面前抓住性和性别自由斗争的激进能量。 通过将恐同诽谤重新利用为一个运动、以及不久之后的一个研究领域的名字,酷儿行动者和学者指明了暴力和污名在性别和性局外人的经历中的重要意义。 酷儿,以及它奇怪、古怪、令人费解的配价,也意在表示超越男同性恋和女同性恋的非规范性实践和性别认同。酷儿促进了边缘化和被排除的群体之间的联盟模式,并且在其最广阔的程度被想象为反对“规范性制度”的号角(Warner 1993: xxvi),准备要解决的是“语言、皮肤、移民和国家碎形的错综复杂性” (Sedgwick 1993: 9)。
跨性别也是在致力于挑战身份的规则的行动主义上下文中浮现的术语。如果可以将酷儿理解为对男同性恋、女同性恋的类别所暗示的性别和性的稳定化的拒绝,以及通往更宽阔的性非常规性光谱的开口,那么跨性别则是捕捉了不能被传统二元描述的性别具身化、实践和社群形态的术语。 尽管这个术语的确切根源存在争议,它作为一个拒绝对性别的规范化和医院观点的行动主义的、学术的、民间的术语,在过去数十年间扎稳了根,赞同更宽阔、更活动的解释。 在《跨性别历史》中,Susan Stryker (2008: 1) 将跨性别的概念定义为“从开头起就无意间跨越了社会施加的界限的运动”,这个定义捕捉到了这个术语关键的力量和弹性。跨性别在作为一个伞术语,能够唤出可以包括跨性者、异装者、T和P的光谱的同时,它也表示了对光谱模型所暗示的分类学框架反抗(就算它“超越”了它)。这样的重要冲动——对所有种类的性和性别身份的拒绝——可以被叫作性别酷儿,一个暗示了跨性别和酷儿之间的亲密关系的术语。
酷儿和跨性别研究不仅在它们共享的对性和性别规范的批评方面相连接,也在它们对规训和方法论规范的反抗方面相连接。米歇尔福柯的反规训思想对这两个领域的发展都至关重要。福柯(1978)对性的现代制度的规训力量的描述影响了跨性别和酷儿研究的反规范、反身份政治。 另外,福柯的对历史的系谱学方法使得他能够思考在现代身份类别之外的性别和性——例如,在复杂的十九世纪人物Herculine Barbin (Barbin and Foucault 1980)的故事中。 这样的不稳定的、令人不确定的具身化、实践和认同的例子,不仅威胁了性和性别身份的各自分离的类别,也威胁了性别和性之间的区别本身。最后,福柯对知识面具化为科学客观性的意志的批评对酷儿和跨性别研究的方法论都至关重要。 由于那些有着非标准具身化和性实践的人不成比例地容易受到临床凝视,福柯(2003)对人类科学所作的批判历史使得两个研究领域都将酷儿和跨儿视为主体而非知识客体。这样的坚持指向它们对知识的政治、对基于思考和新批判框架的新方法的在世界中存有的新方法的思想的共同承诺。
除了历史的、方法论的、政治的重叠,酷儿和跨性别研究不总是同道的,而且随着这些领域年纪渐长,也不清楚何种程度上它们应该同道。 酷儿的反identitarian、反常规化和联盟的方面,在阐明和推动跨性别学术和政治中显然有用;实际上这一共通的对跨越学科和身份界限的承诺会使人难以在酷儿研究和跨性别研究之间划出清晰的界限。 然而,虽然在对酷儿最宽泛的理解中酷儿能指示广泛的差异和社会排除,酷儿还常常因在实践中表意更为狭窄而受到批评。在Cathy J. Cohen关于酷儿政治中的排除的重要叙述,《朋克、T和福利皇后》中,她控诉酷儿是虚假的普遍概念,酷儿声称要处理所有边缘主体的处境,但事实上关注的是同性恋者的关切。 在一些酷儿学者中,我们也能看到相似的对酷儿的批评,这些酷儿学者提出酷儿研究没有充分关注跨性别者的物质条件,而只是把性别非常规用作酷儿的标志或寓言。
这样的有关酷儿的状况和包容的紧张关系,不是存在于在真空之中的,而是在令人忧虑的物质、专业和机制背景中的。尽管酷儿研究有一些值得注意的成功之处,它仍旧是一场缺乏人手和资金的冒险。 尽管如此,这个领域相较跨性别研究还是更强势些,后者在教学中常常是酷儿研究或性别研究的附录。女性和性别研究课程和LGBT研究课程怎样才能最好地支持跨性别研究领域中的机构创始者,是现在的一个紧要问题。 把跨性别材料包括进课程中,是一把双刃剑,因为这在促进了学生对这个领域的了解,回应了数量不少的学生的需求的同时,却可能阻止了跨性别研究的机构化过程中最关键的一步:给予身在跨性别研究领域中的学者,以及跨性别身份的学者在大学里的终身职位。
此外,除了酷儿和跨性别研究的知识形成中的重要重叠,它们之间在概念上的契合也不是天衣无缝的。酷儿已经被证实,在解释具身化时比起跨性别研究更乏用武之地。 跨性别研究为物质经验提供了解释,为位于中心的具身化的新形式和经验(在这方面,我们也能看到跨性别研究和残障研究之间的重要连接)腾出了空间。 酷儿与后结构主义的知识形成紧密相连,特别是在它在文学理论和精神分析的发展方面。跨性别研究的领域同样受这一框架工作影响——特别是在例如Sandy Stone的《The Empire Strikes Back》(1991)等经典文本中——但跨性别研究倾向于在方法论上更包容多样。 酷儿研究继续抵抗社会科学方法论,偏好跨学科或文化研究的更人文主义的版本,而跨儿研究则和法律研究、跨国分析、医学历史、建筑和设计、民族志和政治经济有着更紧密的联系。
酷儿最好是被理解为一个与被标记为性别和性越轨者的社群有着历史连接的实质性术语,还是一个描述宽泛的非常规、政治批评和对身份的抵抗的更抽象理论的术语,答案还不清楚。 相似的模棱两可标记了跨性别,跨性别可以指向具身化或社群的特定模式,但也可以被理解为指向交错的、去自然化的身份类别的理论术语。 酷儿和跨性别都产生了关键的强大扰动,但现在或许需要通过意识到身份持续的力量来平衡它们。在词源学上,跨儿和酷儿都指向跨越,在这一意义力两个术语都同样能引出机动性与局限性。 鉴于越来越多的性别常规的、经济上和种族上占优势的、有配偶的大都会同性恋者进入了主流,这些领域现在或许需要将关注转移到在欲望、抱负或人生机遇中被画叉(cross)或遭遇挫折,这样意义上的跨越(cross)。 社会阶级、种族、地域、能力和性别表现,在决定权利、资源的获取和免于暴力的自由中扮演至关重要的角色;跨性别者,跨性者,还有性别酷儿,不成比例地遭受着Amber Hollibaugh和Cherríe Moraga在1981年《酷儿攻击》中所写的事情。酷儿在为性别和性自由斗争的语境中的政治力量,如果有,就是来自于其传达正在进行的污名、暴力和排除的现实的能力。
Au(dhd?) whinge
Put John Scalzi's Starter Villain on hold in Libby. I'm surprised my library even had copies tbh
Books & Literature Feed reshared this.
Im ok with UI, actually I kinda like its minilalist feel, I guess some people might expect something different but for me is just fine.
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@contradogma it's mostly things being in weird places, easy to get lost... if you're even a little bit of a tinkerer it's no big, but for the casual computer user it gets really frustrating really fast.
ie. try and find where to go to change your profile picture.
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<Insert Profanities>
So the temporary system had some sort of failure, I'm not even 100% sure what caused it to be honest. It went down sometime yesterday and some of the virtual drives got corrupted, which caught the database and the virtual gateway device.
I was able to restore the system... most of the way. Thankfully there are backups of the database, but some of them were also flawed as well, the most recent intact one was from 5/16, so 5 days were lost.
To be clear, this problem was exacerbated by the fact that there's not as much redundancy in the temporary setup (sadly it looks like it'll be a few more months before I have a place of my own and can spin up my own hardware again). But I'm going to still look at how I might get those in better shape.
As far as how long it took: I had a busy day yesterday and didn't see that the server was down until I was too exhausted to do anything about it, so it had to wait until I got off work today... each attempt at restoring the database takes around an hour, so that took *a while* to get restored.
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Shiri Bailem
Unknown parent • •@anubis2814 ... did you even read the post?
Shiri Bailem
in reply to Shiri Bailem • •@anubis2814 The core issue is that they're trying to cram it in everywhere for fear of being left behind on the "next big thing" and they all insist on using the absolute highest performance, latest, and most powerful AIs for everything.
I can run a reasonable model for most use cases offline on my phone, spinning it up just as needed (ironically my phone is more powerful in this regards than my desktop... so I'm stuck with online models there, but even then I typically use the lower power models)
Air Quotes Comedian
in reply to Shiri Bailem • • •I have an .mp3 of my voice saying things I never said because I fed about 12 minutes of my voice into a cloud based software that can do that extremely well.
I can see all sorts of applications for this, purely for comedy purposes but doubt I will use it for anything (speech synthesizer will do for what I need).
I was taken aback by this episode though. It was my voice (well, one of them) and hearing it from something else was odd.
Shiri Bailem
in reply to Air Quotes Comedian • •@Air Quotes Comedian oh yeah, as much as it has potential for good it's also a hell of a lot of potential for absolutely terrifying as well.
Another problem with the bulk of "Anti-AI" crowds is that they drown out the real problems and lash out at anyone trying to fix them.
Air Quotes Comedian
in reply to Shiri Bailem • • •There is an awful lot of bullshit and nonsense surrounding the subject.
My interaction with AI has been quite limited. If I feel a YouTube video is read by AI or generated by such then I click off, and I find the constant chat bots in the corners of commercial websites to be unwelcome (or if you get one on the telephone).
As with anything you're going to get a mountain of shit (a content avalanche that will render the internet useless if the pundits are to be believed) but I'm impressed by its capabilities.
I mean, relatively impressed.
The most impressive thing computer related thing I've ever seen was in the 80's where I saw an Acorn Archimedes playing video footage of a race car event.
Blew my mind.
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Shiri Bailem
in reply to Air Quotes Comedian • •@Air Quotes Comedian Yeah, bulk of the places I've seen it have been misplaced and majority of them I could have told people how it'd go before they even started...
Chat Bots in the corners of commercial websites are going to fall apart as they increasingly realize that it'll say shit that they're now liable for. The god forsaken AI voiceover videos and content farms, every one of which is truly awful and I wonder how they're even seeing returns on it in the first place. And don't even get me started on Google's "Let's cram an AI answer into search results randomly because there's no way it will say awful shit that people will take at face value".
I've mostly used it for skimming on my behalf (I use big-agi.com for that especially, but in general for most of my AI uses), code assistance, and the occasional editing.
Shiri Bailem
Unknown parent • •Lea
in reply to Shiri Bailem • • •> "Hahaha, the language model can't do math"
People don't say that, they say haha the **AI** can't do math.
This problem stems from the LLM owners/developers themselves, by calling their product "AI" -- Artificial *Intelligence* -- instead of just LLM, or "Language generator" or something similar, thus creating the expectation that it actually can think, reason, or compute things instead of just generating plausible-sounding text responses to prompts.
And that choice was apparently deliberate on their part, to hype up the product. IOW, don't advertise or imply with misleading buzzwords that your product can do things it can't and then get upset when people mock it for not being able to do what you wanted them to believe it can do.
Shiri Bailem
in reply to Lea • •@Lea or maybe just people always had a wrong idea of what early AI would look like?
People just expected it to jump out fully formed as a super-genius rather than baby steps of abilities...
Lea
in reply to Shiri Bailem • • •Maybe, but only because they were taught to by its creators.
Before "generative AI" (creation of new images and text) came out, AI was associated more with things like detecting possible cancer in medical scans, exoplanets in telescope images, recognizing/describing objects in images, finding the structure of proteins, searching for possible new medicines, etc. (not to mention military applications ).
So as I recall it was looked upon as something to help humans solve problems, having great potential in spite of some negative early experiences with things like automatic stock trading.
So IMO these new generative applications should never have been called "AI" because they are not. Even using terms like saying they were "trained" or "learned" from existing art and texts implies intelligent reasoning which is misleading.
Rather, it was the developers who learned how to make their statistical algorithms better able to extract, recombine, and generate similar, plausible-looking (but not true or accurate) output from the mass of data they collected.
IOW, it's those pre-existing AI applications that can at least on some level be said to have been "trained" and to have "learned" to recognize specific kinds of patterns in visual/spatial/textual data and mark it for *humans* to then interpret and judge for accuracy. And certainly not to make up new stuff.
Making up new stuff should be for entertainment purposes only.
Shiri Bailem
in reply to Lea • •@Lea yeah, that's a fundamental misunderstanding of how these came to be... your examples of non-generative AI are all the same basic technology. In crude terms it's an image enhancement/recognition ai run in reverse. (Then LLMs were cutting out the image part)
Their training process is nearly identical in fact.
Lea
in reply to Shiri Bailem • • •My point is that it's the generative aspect that is the most fundamental and important difference, and that, along with allowing decision-making (as in the stock market example) is where the harm arises.
I haven't seen anything beneficial from generative models, other than as I said before, entertainment, or perhaps some strictly personal use that is not ever disseminated to others.
Generating anything with it for any serious purpose is harmful and with no positive benefit (unless you consider deep fake propaganda a "benefit").
Using it for research papers, legal briefs, class assignments, fake photos, etc. is harmful for so many reasons I don't have room to state them all here.
Shiri Bailem
in reply to Lea • •@Lea I've seen a whole bunch of practical beneficial uses:
Yes, there are plenty of harmful uses, but if you don't see positive uses you're not looking at all.
There's also the upcoming uses that are still being ironed out but inevitable (as in these aren't just hypotheticals, it's just down to predictable progress):
* Dynamic dialogue in games: tech demos of this have been pretty cool, it's not there to replace writers but to allow NPCs to fluidly talk back to anything rather than purely scripted responses)
* Virtual assistants: you may or may not like them, but many people do like them and being able to handle fluid natural language is a huge step compared to before.
I'm not going to pretend that image generators have much use at the moment, there's technologies that come later that they lead to that can be useful (like dynamic generation of 3d models and environments, which can be good progress towards the goal of "holodecks" in the sense of being able to dynamically call up desired environments then tweaking them to be what you need).
Voice generators right now mostly are just good for nice computer voices and maybe in the future being used to splice in dynamic content (such as player character name) into games (right now games either avoid saying your name entirely, use a stand-in name, and/or have a handful of pre-recorded names that are really cool if they happen to be on the list)
Lea
in reply to Shiri Bailem • • •I do admit there may be some beneficial uses of generative not-AI that I haven't been able to think of, or might be someday. Meanwhile the internet is being flooded with generated false or meaningless "content" that is in turn being re-ingested as fodder for even more of the same.
Other than coding assistant, most of your examples sound more like analysis (which is fine) than generation of new content (not fine):
- analyzing human-written prose and flagging possible tone or phrasing problems = analytical. Suggesting replacement text is generative but untrustworthy. You have to check that it isn't saying something you didn't mean to say, then trust that it's an improvement.
- summarizing reviews = analyzing: compiling stats in categories of what the reviews say. Not generating reviews or anything new.
- coding assistant: This *is* generating something: garbage. I've played with it and never gotten anything useful. It can only handle coding problems that have already been solved and included in the training data. Anything requiring it to actually solve a problem not already in its store of code fails. There's no logic or reasoning (as you've already pointed out), which would be required to do that. The main problem I found was it would call functions that don't even exist in the language--I assume it finds people's custom functions scraped from somewhere and just uses those function names as if they were built-in functions in the language.
Shiri Bailem
in reply to Lea • •@Lea I think you're quibbling over the term "generative" there, a non-generative version would be outputting just variables rather than raw text. Ie. non-generative analysis is just going to be "x% confident, x% aggressive, x% sympathetic..."
Shiri Bailem
Unknown parent • •@Lea like I said, you're attacking the definition of generative by ignoring the actual definition.
And I'm done with this conversation since all you're doing is looping back on points I've already called out. You've been an ass, just accept it and move on.