#Generative AI For Quality Control

[rubylogan15]

Learn how generative AI addresses key manufacturing challenges with predictive maintenance, advanced design optimization, superior quality control, and seamless supply chains.

[pigeonpuddles]

I would say warrior's problems could be solved by having people other than 70 year old white women write the books but at this point I think we're lucky that people are writing them at all.

[pankomako]

the EOU\DN'G Founders Gomedy Glub

[msn-technology]

Generative AI in Drug Manufacturing: Revolutionizing the Pharmaceutical Industry

The pharmaceutical industry is on the brink of a technological revolution, thanks to the advent of generative artificial intelligence (AI). This cutting-edge technology is transforming drug manufacturing by enhancing efficiency, reducing costs, and accelerating the development of life-saving medications. In this article, we will explore the impact of generative AI on drug manufacturing. We will…

[nnctales]

AI Consulting Business in Construction: Transforming the Industry

The construction industry is experiencing a profound transformation due to the integration of artificial intelligence (AI). The AI consulting business is at the forefront of this change, guiding construction firms in optimizing operations, enhancing safety, and improving project outcomes. This article explores various applications of AI in construction, supported by examples and statistics that…

[ai-innova7ions]

Simplify Art & Design with Leonardo's AI Tools!

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The platform automates time-consuming tasks, inspiring new creative possibilities while allowing us to experiment with various styles and customized models for precise results. With robust tools like image generation, canvas editing, and universal upscaling, Leonardo AI becomes an essential asset for both beginners and professionals alike.

#LeonardoAI

#DigitalCreativity

#Neturbiz Enterprises - AI Innovations

[websyn]

Explore how Generative AI transforms modern manufacturing. Boost product development, predictive maintenance, and supply chain management with Web Synergies.

[ibboard]

Who's here for the Slerlock fic? Or are you too busy trying to work out how to "stolly" another's path? 😬

Also slightly confused about how The Gilded Cage has "by BeautifulFiction" in the text but the cover seems to show that it's by that other well-known author, Flny Jeas 😐

Love of FUCK. Site word-stream.com has been scraping AO3 and making audio books of people's work.

They are charging people for access

These are just mine. I recommend authors search for their work and email a removal request to support@word-streams.com

More info in the reddit post below. Please signal boost so fic authors know!

[ohnoitstbskyen]

You’ve probably been asked this before, but do you have a specific view on ai-generated art. I’m doing a school project on artificial intelligence and if it’s okay, i would like to cite you

I mean, you're welcome to cite me if you like. I recently wrote a post under a reblog about AI, and I did a video about it a while back, before the full scale of AI hype had really started rolling over the Internet - I don't 100% agree with all my arguments from that video anymore, but you can cite it if you please.

In short, I think generative AI art

Is art, real art, and it's silly to argue otherwise, the question is what KIND of art it is and what that art DOES in the world. Generally, it is boring and bland art which makes the world a more stressful, unpleasant and miserable place to be.

AI generated art is structurally and inherently limited by its nature. It is by necessity averages generated from data-sets, and so it inherits EVERY bias of its training data and EVERY bias of its training data validators and creators. It naturally tends towards the lowest common denominator in all areas, and it is structurally biased towards reinforcing and reaffirming the status quo of everything it is turned to.

It tends to be all surface, no substance. As in, it carries the superficial aesthetic of very high-quality rendering, but only insofar as it reproduces whatever signifiers of "quality" are most prized in its weighted training data. It cannot understand the structures and principles of what it is creating. Ask it for a horse and it does not know what a "horse" is, all it knows is what parts of it training data are tagged as "horse" and which general data patterns are likely to lead an observer to identify its output also as "horse." People sometimes describe this limitation as "a lack of soul" but it's perhaps more useful to think of it as a lack of comprehension.

Due to this lack of comprehension, AI art cannot communicate anything - or rather, the output tends to attempt to communicate everything, at random, all at once, and it's the visual equivalent of a kind of white noise. It lacks focus.

Human operators of AI generative tools can imbue communicative meaning into the outputs, and whip the models towards some sort of focus, because humans can do that with literally anything they turn their directed attention towards. Human beings can make art with paint spatters and bits of gum stuck under tennis shoes, of course a dedicated human putting tons of time into a process of trial and error can produce something meaningful with genAI tools.

The nature of genAI as a tool of creation is uniquely limited and uniquely constrained, a genAI tool can only ever output some mixture of whatever is in its training data (and what's in its training data is biased by the data that its creators valued enough to include), and it can only ever output that mixture according to the weights and biases of its programming and data set, which is fully within the control of whoever created the tool in the first place. Consequently, genAI is a tool whose full creative capacity is always, always, always going to be owned by corporations, the only entities with the resources and capacity to produce the most powerful models. And those models, thus, will always only create according to corporate interest. An individual human can use a pencil to draw whatever the hell they want, but an individual human can never use Midjourney to create anything except that which Midjourney allows them to create. GenAI art is thus limited not only by its mathematical tendency to bias the lowest common denominator, but also by an ideological bias inherited from whoever holds the leash on its creation. The necessary decision of which data gets included in a training set vs which data gets left out will, always and forever, impose de facto censorship on what a model is capable of expressing, and the power to make that decision is never in the hands of the artist attempting to use the tool.

tl;dr genAI art has a tendency to produce ideologically limited and intrinsically censored outputs, while defaulting to lowest common denominators that reproduce and reinforce status quos.

... on top of which its promulgation is an explicit plot by oligarchic industry to drive millions of people deeper into poverty and collapse wages in order to further concentrate wealth in the hands of the 0.01%. But that's just a bonus reason to dislike it.

[blackarmychoir]

love that i can't go onto any art website now without whatever i search for being infested with ai generated shit

[hikarry]

I do and

Believe this

They are NOT anywhere revolutionary

And it's easier to find the pot of gold at the end of the rainbow than actually finding legit not terribly paid work there (and avoiding scams)

I got a YouTube ad for Upwork and the whole pitch was how their AI support chatbots are revolutionary.

I wonder how long it’ll take before we get “our company employs real people!!” In the same way as fast food places thinking it’s revolutionary to say “made with real meat!!”

I already never used Upwork but I sure won’t now.

[cryptosocialnetwork]

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[kenyatta]

The video starts with bold red letters blaring: “2016 Democrat Primary Voter Fraud CAUGHT ON TAPE.” A series of blurry security footage follows, showing blatant instances of ballot stuffing. The only problem: The clips actually depict voter fraud in Russia. A quick Google search would have easily revealed the dubious source of the video, along with news articles debunking its claims. But when researchers from Stanford studying young people’s media literacy — the ability to accurately evaluate information in the wilds of mass media — showed the video to 3,446 high school students, only three succeeded in identifying the Russian connection. “There is this myth of the digital native, that because some people have grown up with digital devices, they are well equipped to make sense of the information that those devices provide,” says Joel Breakstone, who led the 2021 study. “The results were sobering.” It’s a startling reality about Gen Z, backed up by multiple studies and what we can all see for ourselves: The most online generation is also the worst at discerning fact from fiction on the internet.

also:

While social media may make news more accessible, there’s also little quality control to the information on the platforms. And although people of all ages are bad at detecting misinformation — which is only getting harder amid the rise of AI — members of Gen Z are particularly vulnerable to being fooled. Why? There’s a dangerous feedback loop at play. Many young people are growing deeply skeptical of institutions and more inclined toward conspiracy theories, which makes them shun mainstream news outlets and immerse themselves in narrow online communities — which then feeds them fabrications based on powerful algorithms and further deepens their distrust. It’s the kind of media consumption that differs drastically from older generations who spend far more time with mainstream media, and the consequences can be grim.

and one more bit:

Young people aren’t solely to blame for their lack of digital literacy. In school, students are taught to read closely and carefully — which misinformation researchers say has unintentionally enforced the idea that students should drill into a single video and determine its accuracy with their eyes, rather than leave the page and open Google. The technology of misinformation is advancing rapidly, and it is becoming impossible to differentiate what’s true from what’s false with mere observation. For older generations, who came to the internet later in life, there’s still at least some natural skepticism toward what they see online. For the youth, it must be taught. Gen Zers are uniquely vulnerable to misinformation compared to older age groups not just because of their social media habits, says Rakoen Maertens, a behavioral scientist at the University of Oxford, but because they have fewer lived experiences and knowledge to discern reality.

[elbiotipo]

Actually my main worry with AI doesn't go through image generation but rather text generation. Text is perhaps the easiest thing to create, store and share on the internet and any digital medium. And AI is very, very good at making it. I've been testing Deepseek to create text for me, from stupid fanfics (don't ask) to more serious text, including my favorite, fictional non-fiction articles, and the results, with some polishment, could easily pass for a real thing and feed misinformation.

Lots of historical and cultural misconceptions are actually based in on a couple of texts that were cited and re-cited out of context. Imagine if I, for example, used AI to write about a topic like Andean mythology. Much of the concepts might be right and the writing that an AI might do on could pass for professional writing, but even the smallest misconception or hallucination, if my article gets shared over and over, might cement on the public consciousness.

This isn't the fault of the AI though, because humans can and do this. Do you know how much misinformation there is in Wikipedia? And Wikipedia, being the introductory reference to many topics, is the largest source of information for many people... and it isn't as trustworthy as it seems. Remember that hoax in the Chinese Wikipedia where a single user rewrote Russian history? Not the first time it happened either. It's terrifying how many of these are, just a few looks at the Spanish Wikipedia have led me to find horrifying amounts of misinformation.

AI does not generate misinformation on itself. But it can be asked to produce these hoaxes and misinformation in mass scale.

My solution? Not ban AI, because that's impossible and stupid, and LLMs are actually excellent tools. My personal idea is to return to reference books, especially printed books by institutions with various authors. Why print books? Because anyone can go into ChatGPT and ask it to write an article about a fictional culture, edit it, and pass it as fact (in fact, I could do it right now). But when you have a printed book, your articles must go through many checks until it reaches print. It does not need to be printed as in paper, it can be shared in other formats but it does need to be checked and rechecked until there is a final edition as in i.e. not a wiki or a blog or a impermanent thing.

I believe that we have relied too much on Wikipedia as the only encyclopedia, and while it is great in many ways, the model starting to show its cracks. I think there should be many curated online encyclopedias for many topics, done by experts and with stronger quality controls than whoever is admin right now.

[valdevia]

Hi, I love your works!! I was wondering where you find the original, unedited pictures you use for your art? Do you take them yourself or find them online?

Hey there! I get them from many different sources! Whenever I can I use my own, and sometimes my followers send me cool pics to use (or put them up in the Sacrificial Altar channel in my Discord), but I find most of what I use through public domain sources online!

For the online part, I put this little list together with some of the common resources I use! Feel free to share it around and copy it:

For an easier experience, I'll copy the relevant part below:

STOCK SITES

- Unsplash: Usually the best quality out of the free stock sites. They’ll try to sell you a subscription plan but you can ignore that.

- Adobe Stock: Select “Free” on the dropdown menu next to the search bar. The free image selection here is big and high-quality, though they feel more like stock pictures than natural photos. Note: They limit how many pictures you can download per account per day, but you can make several accounts to circumvent this if you use it a lot.

- Texturelabs: lots of free, very high-quality textures!

- Pexels: Similar to Unsplash, but it has more pictures with people. If you need a photo with models, this is usually the best place.

- Pixabay: Widest selection, but worst quality control. Go here if you haven’t found anything in other sites and don’t mind sifting through a bunch of garbage pics and occasional AI images.

PUBLIC DOMAIN SOURCES

- Wikimedia Commons: an enormous selection of CC and public domain pictures. Super useful, especially for the really specific images that you'd expect to find on a Wikipedia article. Always check the copyright conditions! To filter by license, search something and then click on the License dropdown under the search bar. Select “No restrictions” for public domain images.

- Picryl: A repository of public domain sources, ranging from ancient historical books and artifacts to fairly modern pictures. If you're looking for something old/historical, chances are it's here! This website is probably one of the most complicated ones to use, so here are three important tips before you use it:

This site added a paywall that appears after the 3rd page of search results. To remove it, install uBlock Origin, go to the “My Filters” page (clicking on the gear icon after opening the extension), and paste this filter: picryl.com##._9oJ0c2

After searching, use the timeline on the top right to narrow down the result by year.

It won’t let you download the full picture without paying, but it always has a link to the source site below the description. Click on that, then copy-paste the image’s name to find it in the original source. That way you can get it for free, and often in better quality than Picryl offers.

National Archives Catalog, The Library of Congress, NASA, and Europeana have wide selections, but they are included in Picryl so it’s usually better to search there and then download them in the source as mentioned above!

- Flickr Search: a ton of usable pictures with a generally more amateur feel, just remember to filter by license using the “Any license” dropdown menu. When you find an image, make sure to check its specific license (you can find it below the image, on the right side).

- Openverse: The official Creative Commons archive, has many sources! Includes other sites on this list, but has a lot of clutter if you don’t filter.

- iNaturalist: a repository of user-submitted images of animals, plants, and fungi. Look for a genus or species, then navigate to the photo list and filter by license.

MUSEUM COLLECTIONS

- The Met: An amazing selection of artifacts from all over the world, with top quality photographs of most of them (usually with several angles for each). You can filter images by material, location, and era.

- Getty Museum: Another smaller selection of museum pieces, but this one includes old photos as well as artifacts. You can also filter by dates, materials and cultures. Make sure you include the “Open Content” filter to only see public domain things!

- Smithsonian: Big selection of around 5 million museum pieces, with some 3D scans of museum pieces. Most pieces just have a single picture that can sometimes be low quality, but pieces with 3D models sometimes also include a lot of high quality photos from multiple angles. This collection also includes things from museums of natural history, so you can also use it to search for bones and specimens.

- Artvee: public domain classical art. They make you pay to download high-quality images.

If you guys got any others, please let me know and I'll add them to the collection!