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bottle traps
#Beach #Ocean #Bottles #Glass #Fairy #Lantern #Cottage #Seaside #Miniature
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
if you need this, it's here: https://aieris.art/featured/bottle-traps-eris-and-ai.html
beach house with twin framed portals
#Mediterranean #Interior #Beach #Ocean #Doorway #Portals #Interdimensional #Stone #Wood #Sunlight #SciFi #Villa
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
in real life: https://aieris.art/featured/beach-house-with-twin-framed-portals-eris-and-ai.html
moonview steps
#Moon #House #Stairs #Ocean #Tower #Curved #Night #Glowing #Dreamlike
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
you can have this: https://aieris.art/featured/moonview-steps-eris-and-ai.html
GROK, Midjourney, Dall-E2, Stable Diffusion y varios modelos más de IA generativa fueron entrenados con material de abus0 s3xual infantil (CSAM), material de vi0laci0nes, p0rn0grafía, estereotipos malignos, insultos racistas y étnicos, y otros contenidos extremadamente problemáticos 🚨
Informe completo: https://arteesetica.org/misoginia-pornografia-y-estereotipos-malignos/
HILO 🧵
#AI #IA #GROK #IAgenerativa #genAI #dataset #midjourney #StableDiffusion #ElonMusk #porn #NSFW #sex #training #LAION #data
Midjourney es uno de los servicios comerciales de IA generativa más nocivos que existen por la intencionalidad de daño con la que fue diseñado. Armaron una lista de más de 15 mil artistas usados como prompts, entrenaron su modelo con CSAM e incorporaron deliberadamente sesgos para sexualizar mujeres.
the peacock hotel is where we're booked; don't know about you...
#Beach #Hotel #Unique #Ocean #Curved #PeacockThemed #Dreamlike #Exotic
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
get this before your trip: https://aieris.art/featured/the-peacock-hotel-is-where-were-booked-dont-know-about-you-eris-and-ai.html
living on the rocky old shore
#Stone #House #Coast #Sunset #BlueDoor #Warm #Rustic #Weathered #Bay #Rocky #CloudySky #Terracotta #Charm
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
on shiny new things: https://aieris.art/featured/living-on-the-rocky-old-shore-eris-and-ai.html
studio tour
#Studio #Seaside #Rustic #Adobe #Hand-built #Stairs #Extended #WarmLight #Coastal
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
this image, on stuff: https://aieris.art/featured/studio-tour-eris-and-ai.html
if i had a house in the desert
#Desert #House #Adobe #Rustic #Warm #Sunset #Sand #Solitude #Chimneys #FrontPorch
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
want? have: https://aieris.art/featured/if-i-had-a-house-in-the-desert-eris-and-ai.html
beach house by the bluffs
#BeachHouse #Bluffs #Fantasy #Ocean #Cliffs #Waves #Sunrise #Whimsical #Dreamy #Curved #Stone
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
on actual stuff: https://aieris.art/featured/beach-house-by-the-bluffs-eris-and-ai.html
modern beach cottage with friendly tree
#Modern #BeachCottage #Ocean #Waves #House #Trees #Whimsical #Curved #CircularWindows #Coastal
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
things here: https://aieris.art/featured/modern-beach-cottage-with-friendly-tree-eris-and-ai.html
island shop, only accessible by boat but worth the effort
#Island #Shop #Seaside #Waves #Boat #Coastal #Beach
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
image on stuff: https://aieris.art/featured/island-shop-only-accessible-by-boat-but-worth-the-effort-eris-and-ai.html
beach house shadows
#BeachHouse #Doorway #Seacoast #Sunlight #Shadows #Stone #Rustic #Warm #Summer
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
this can be a thing: https://aieris.art/featured/beach-house-shadows-eris-and-ai.html
circuit building with quantum hallway
#Sci-fiArchitecture #Circuit #Building #Adobe #Metal #Glowing #Doorway #Futuristic #Fantasy
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
on actual stuff: https://aieris.art/featured/circuit-building-with-quantum-hallway-eris-and-ai.html
the only pub on the island is, fortunately, magic-friendly
#Tropical #Island #Pub #Tavern #Magic #Rustic #Ocean #Stone #ArchedDoor #Cozy #GlowingInterior #Mystical #Dreamlike
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
want? have: https://aieris.art/featured/the-only-pub-on-the-island-is-fortunately-magic-friendly-eris-and-ai.html
hotel in the cloud mountains
#Surreal #Hotel #Mountains #Sky #Clouds #Storm #Dramatic #MagicalRealism
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
want? have: https://aieris.art/featured/hotel-in-the-cloud-mountains-eris-and-ai.html
the building that lives in two places
#Surreal #Seaside #Duality #OpenDoors #Ocean #Beach #Sunlit
#Img2img #AiArt #AiArtists #AiArtCommunity #StableDiffusion #Midjourney
want? have: https://aieris.art/featured/the-building-that-lives-in-two-places-eris-and-ai.html
That may sound odd, since these are clearly technological artifacts in the way we've come to understand technology, and they're being produced by what's commonly called the tech sector. However, there are at least two ways in which these artifacts differ markedly from what we usually (used to?) think of as "technology":
(1) They tend to have a deskilling effect. The English word "technology" ultimately derives from the Greek word "tekhnē", which can be interpreted as meaning skill or craft. It's very much about a human being's ability to perform a task. Yet much of generative AI is aimed at removing human beings from a task, or minimizing our involvement. In that sense generative AI is very much anti-tekhnē
(2) They tend to lie squarely in what Albert Borgmann called "the device paradigm". L.M. Sacasas has several nice takes on Borgmann's distinction between devices and focal things. See https://theconvivialsociety.substack.com/p/why-an-easier-life-is-not-necessarily and also https://theconvivialsociety.substack.com/p/the-stuff-of-a-well-lived-life (and of course, read Borgmann himself!). Simply put, devices tend to hide their inner workings under a simplified "interface"; a device is a device “if it has been rendered instantaneous, ubiquitous, safe, and easy”, if it hides the means in favor of the ends. By contrast, focal objects tend to invite you into fully experiencing the focal practices they enable, to experience the means and the ends. In particular, they tend not to be easy: you have to engage with and learn to use them. Guitars are an interesting example of focal objects. To be (I hope not overly) simplistic, devices dumb you down while focal objects train you up. Devices are anti-tekhnē, and to the extent that current generative AI is created and deployed in the device paradigm, it is too.
None of this means generative AI has to be anti-tekhnē. I do admit though that I struggle to see how to make it less device-y, at least as it's currently made and used (I do have a few half-formed thoughts along these lines but nothing worth sharing).
#tech #dev #GPT #Gemini #Claude #LLaMa #LLM #Copilot #Midjourney #DallE #StableDiffusion #AI #GenAI #GenerativeAI
- Statistics, as a field of study, gained significant energy and support from eugenicists with the purpose of "scientizing" their prejudices. Some of the major early thinkers in modern statistics, like Galton, Pearson, and Fisher, were eugenicists out loud; see https://nautil.us/how-eugenics-shaped-statistics-238014/
- Large language models and diffusion models rely on certain kinds of statistical methods, but discard any notion of confidence interval or validation that's grounded in reality. For instance, the LLM inside GPT outputs a probability distribution over the tokens (words) that could follow the input prompt. However, there is no way to even make sense of a probability distribution like this in real-world terms, let alone measure anything about how well it matches reality. See for instance https://aclanthology.org/2020.acl-main.463.pdf and Michael Reddy's The conduit metaphor: A case of frame conflict in our language about language
Early on in this latest AI hype cycle I wrote a note to myself that this style of AI is necessarily biased. In other words, the bias coming out isn't primarily a function of biased input data (though of course that's a problem too). That'd be a kind of contingent bias that could be addressed. Rather, the bias these systems exhibit is a function of how the things are structured at their core, and no amount of data curating can overcome it. I can't prove this, so let's call it a hypothesis, but I believe it.
#AI #GenAI #GenerativeAI #ChatGPT #GPT #Gemini #Claude #Llama #StableDiffusion #Midjourney #DallE #LLM #DiffusionModel #linguistics #NLP
Participants who used AI produced fewer ideas, with less variety and lower originality compared to a baseline.From https://dl.acm.org/doi/full/10.1145/3613904.3642919 , titled The Effects of Generative AI on Design Fixation and Divergent Thinking
This is something I'd expect because of anchoring. I'd expect a similar phenomenon when using generative AI to help with other kinds of ideation like writing or coding. Basically, your creative process gets stuck--anchored--on the first couple ideas. If you're generating those ideas with AI without taking account of this phenomenon, your overall process will tend to be less creative than if you hadn't used the AI. Surely there are ways to mitigate this effect but you have to be aware of it and practiced in those ways.
#GenAI #GenerativeAI #Midjourney #DALLE #StableDiffusion #art #ChatGPT #GPT #Copilot
#AI #GenAI #GenerativeAI #LLM #GPT #ChatGPT #Gemini #Llama #Copilot #Midjourney #StableDiffusion #DALLE
“Self-checkout could have been better integrated into supermarkets in ways that augmented and better-facilitated interactions between frontline workers and shoppers, but that design goal goes against the very reason they were adopted by retailers in the first place—to cut labor costs,” Mateescu says. “So the tool has a self-defeating logic to it from the get-go.”From https://gizmodo.com/why-self-checkout-is-and-has-always-been-the-worst-1833106695 ; see also https://www.bloodinthemachine.com/p/understanding-the-real-threat-generative .
Generative AI could be an instance of what self-checkout or automated customer service phone trees are: what Brian Merchant ( @brianmerchant@mastodon.social ) dubs "shitty automation" in the first link, with a similar kind of self-defeating logic built into it from the start. If the only purpose of a technology is to cut labor costs for corporations, then there's a decent chance everyone, including the corporations deploying the technology, eventually suffers from it. One of the weirdest things to witness in this latest AI hype cycle is the enthusiastic deployment of a technology that may end up producing worse products and services at greater expense than the laid-off people who used to produce those products and services. It also threatens to leave behind a kind of technological detritus: even companies that recognize the cost and poor quality won't be able to remove it once it's entrenched. Why all the enthusiasm?
Obviously I have no way of knowing whether that's what comes to pass, but a lot of signs are pointing that way. I've already had a few conversations with people, including a CEO, who told me they felt like they had no choice but to deploy generative AI somehow, because all their customers were doing so. But like the most-photographed barn--which is the most-photographed barn because it's famous for being the most-photographed barn--this kind of justification is ephemeral white noise. You are putting yourself into a dangerous position by following it: this ouroboros will eat your business once it's done swallowing its own tail. Very strange to witness.
#AI #GenerativeAI #ChatGPT #GPT #Copilot #Midjourney #DALLE #WhiteNoise
I think A.I. is a poison to the creative process. I think it makes your work worse and makes you less interesting and less employable.From: https://www.muddycolors.com/2024/04/the-a-i-lie/ by David Palumbo . I strongly recommend reading the whole post if this topic is of interest. I think it's absolutely spot on. This writer is coming from the perspective of a creative professional, but I'd expand this statement to include both scientific research and software development, two areas in which I've worked myself. By using the current generation of AI tools you are trading short-term convenience for long-term degradation, something I've analogized here before as eating your seed corn.
It has become standard to describe A.I. as a tool. I argue that this framing is incorrect. It does not aid in the completion of a task. It completes the task for you. A.I. is a service. You cede control and decisions to an A.I. in the way you might to an independent contractor hired to do a job that you do not want to or are unable to do. This is important to how using A.I. in a creative workflow will influence your end result. You are, at best, taking on a collaborator. And this collaborator happens to be a mindless average aggregate of data.Another excellent point among many. I've called AI a tool in the past but I'm convinced by this framing of it as a service and would-be collaborator. Calling the current generation of AI a set of tools is providing cover for its more degrading effects.
Given all of this, I can not personally see anything attractive about using these programs in any capacity. Though they might dramatically speed up or replace parts of a workflow, the short and long term costs are appalling to me. It is removing my own hand, the single most valuable asset I possess, from the creation of my work.Absolutely. If you do knowledge work, it's removing your own brain and mind from your work. If you've spent years and money educating yourself in a subject, why would you choose to throw that away and give over part of your work to a computer program?
#AI #GenerativeAI #ChatGPT #GPT #Midjourney #StableDiffusion #DALLE #Copilot #GithubCopilot
From https://www.statnews.com/2017/09/05/watson-ibm-cancer/
That was 2017, a mere 7 years ago. How are we falling for this same con again so soon?
#AI #GenerativeAI #OpenAI #GPT #ChatGPT #Midjourney #StableDiffusion #LifeScience #HealthCare
The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.”From https://theconversation.com/weve-been-here-before-ai-promised-humanlike-machines-in-1958-222700More than six decades later, similar claims are being made about current artificial intelligence. So, what’s changed in the intervening years? In some ways, not much.
Not to nitpick, but I'd argue "In a lot of ways, not much". Not much substantively, anyway. We have 66 years of Moore's Law and data gathering, which has made the biggest difference by far. We have some important advances in how to train ML models, though I'd argue lots of these fall on the engineering side of things more than the deep understanding of how stuff works side of things.
This critique is not meant to diminish how difficult and important any of these particular advances were. Rather, it's that I believe scale alone is not what lies between machine learning and human intelligence. We should not be claiming that we're moments away from artificial general intelligence. I believe that however remarkable the outputs of #ChatGPT or #Midjourney or what have you may be, they are still just as far from human-quality intelligence as Rosenblatt's perceptron was.
In the decade or so after Rosenblatt unveiled the Mark I Perceptron, experts like Marvin Minsky claimed that the world would “have a machine with the general intelligence of an average human being” by the mid- to late-1970s. But despite some success, humanlike intelligence was nowhere to be found.We've been hearing this same song for a long time.
(Before diving into my mentions to explain AI and ML to me, please be aware that I have a PhD in computer science from 2007. My PhD advisor made significant advances in aritificial neural networks research in the 1980s. I closely read the original papers on this subject, including Rosenblatt's and all three volumes of the PDP collection, and surveyed some of them in the introductory chapter of my dissertation. I built large scale ML systems in industry before it was "a thing". I'm happy to have a conversation about all this stuff but variations of "you're wrong" are unwelcome no matter how politely phrased. Thanks).
For all the surrealism of these tools’ outputs, there’s a banal uniformity to the results. When people’s imaginative energy is replaced by the drop-down menu “creativity” of big tech platforms, on a mass scale, we are facing a particularly dire form of immiseration.From https://thebulletin.org/2022/10/ai-is-plundering-the-imagination-and-replacing-it-with-a-slot-machine/
#AI #GenAI #GenerativeAI #GPT #ChatGPT #Midjourney #DALL-E #StableDiffusion
If you're stats-poisoned: human flourishing requires the joint distribution of the future to be different from that of the past and present. We, collectively, form a non-stationary system, and forcing the human system to be stationary is a kind of violence.
#StableDiffusion #Midjourney #DALLE #GPT #ChatGPT #GenAI #AI
From their "What is Nightshade?" page:
Since their arrival, generative AI models and their trainers have demonstrated their ability to download any online content for model training. For content owners and creators, few tools can prevent their content from being fed into a generative AI model against their will. Opt-out lists have been disregarded by model trainers in the past, and can be easily ignored with zero consequences. They are unverifiable and unenforceable, and those who violate opt-out lists and do-not-scrape directives can not be identified with high confidence.#Nightshade #Glaze #Midjourney #StableDiffusion #DALLE #DALL-E #AI #GenAI #generativeAI #artIn an effort to address this power asymmetry, we have designed and implemented Nightshade, a tool that turns any image into a data sample that is unsuitable for model training. More precisely, Nightshade transforms images into "poison" samples, so that models training on them without consent will see their models learn unpredictable behaviors that deviate from expected norms, e.g. a prompt that asks for an image of a cow flying in space might instead get an image of a handbag floating in space.
LLMs and image generators mass ingest human-created texts and images. Since the human creators of the ingested texts and images are not compensated and not even credited, this ingestion puts negative pressure on the sharing of such things. Creative acts functioning as seed for future creative acts becomes depressed. Creative people will have little choice but to lock down, charge for, or hide their works. Otherwise, they'll be ingested by innumerable computer programs and replicated ad infinitum without so much as a credit attached. Seed corn that had been freely given forward will become difficult to get. Eaten.
Eating your seed corn is meant to be a last ditch act you take out of desperation after exhausting all other options. It's not meant to be standard operating procedure. What a bleak society that does this, consuming itself in essence.
Generating one image [with a generative AI tool] takes as much energy as fully charging your smartphone, according to the study from researchers at the AI startup Hugging Face and Carnegie Mellon University.https://www.technologyreview.com/2023/12/05/1084417/ais-carbon-footprint-is-bigger-than-you-think/
Now's not the time to add an enormous new energy burden to the mix we already have.