#humanvsai — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #humanvsai, aggregated by home.social.
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Human vs. AI – Diff-based line-level provenance for text under agentic editing
https://github.com/eighttrigrams/us-vs-them
Comments: https://news.ycombinator.com/item?id=49232300
#HackerNews #HumanVsAI #DiffBased #Provenance #Text #Editing #AgenticEditing
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📚 Oh, look! A human with a blog, desperately clinging to the notion that their mediocre taste in #fiction somehow elevates them above the soulless machines. 🤖 Because somehow, the statistical profile of a LLM's word choice is less authentic than the drivel found in every second-rate paperback. 😂
https://mccormick.cx/news/entries/why-i-won-t-read-llm-authored-fiction #humanvsai #blogpost #debate #technology #humor #HackerNews #ngated -
@Robert Kingett I've read somewhere that some blind people prefer LLM-generated image descriptions to human-written image descriptions because they're more entertaining. LLM-generated image descriptions often add some whimsy whereas human-written image descriptions just dryly rattle down what's in the image. Basically, through the screen reader, humans sound more like machines than actual machines.
They usually are aware that LLMs tend to be hallucinating and essentially telling them non-sense. But I've read from one blind user that they don't care whether or not the LLM-generated description is accurate as long as the accuracy isn't a matter of life and death.
In a certain way, it is understandable. The only people who'd criticise an image description for being inaccurate are fully sighted and therefore capable of comparing the image with its description.
Blind people won't notice unless the image description describes something so outlandish to them that they have the impression of an utterly surrealist image where there shouldn't be a surrealist image.
On the other hand, there are also blind people who demand image descriptions be accurate. They simply don't want to be told non-sense, especially not without knowing that they're being told non-sense.
But even on the sighted side, there's the "human versus AI" debate.
Some sighted people are fully convinced that LLMs can describe absolutely every image perfectly in absolutely every situation, no matter how obscure the contents of the image are. They're fully convinced that a generic LLM like ChatGPT can write circles around even human experts at any given time.
Some are simply AI fanbois or fangurls. Others say so in order to convince themselves that what they're doing is the best way: They use image-describing LLMs or even general-purpose LLMs as fire-and-forget tools. They have image descriptions generated, they copy-paste these image descriptions into the alt-texts, they send their posts, and they never take a look at these image descriptions at any point in the process. It's more convenient this way.
And then they wonder why they're under attack from sighted alt-text activists who call them out for their painfully inaccurate and blatantly obvious AI slop.
LLM proponents, both sighted and non-sighted, have in common that they never compare the image and the description. Non-sighted LLM proponents simply can't see the image. Sighted LLM proponents put so much faith into LLMs that they can't be bothered to read the description and cross-check it with the image.
#Long #LongPost #CWLong #CWLongPost #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLM #LLMs #AIVsHuman #HumanVsAI -
some results from experimenting with my BACHIN TA-4
#GenerativeArt #AICritique #HybridArt #TechAndArt #CreativeCoding #AcrylicPainting #HumanVsAI #DigitalMeetsPhysical #ArtExperiment #ProcessArt
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some results from experimenting with my BACHIN TA-4
#GenerativeArt #AICritique #HybridArt #TechAndArt #CreativeCoding #AcrylicPainting #HumanVsAI #DigitalMeetsPhysical #ArtExperiment #ProcessArt
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The Uncanny Valley and the Rising Power of Anti-AI Sentiment
https://localscribe.co/posts/uncanny-valley-and-rising-power-of-anti-ai-sentiment/
#HackerNews #UncannyValley #AntiAISentiment #AIethics #TechnologyDebate #HumanVsAI
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@Cassandrich @Sobri | Zoe (she/her) @Scott Jenson @Phil Dennis-Jordan Also, an image doesn't always need the exact same alt-text whenever it's posted somewhere.
The alt-text must adapt to the context. It must be different according to the context in which an image is posted. Also, it must adapt to the place where it's posted. The same image, even within a very similar context, must have a different alt-text in the Fediverse than on commercial social media or a static website. Lastly, and this ties in with the Fediverse requiring different alt-texts, the audience must be taken into consideration.
Alt-text in metadata can't do either of this. An LLM can't do either of this either unless it's explicitly prompted to do so, and even that is questionable.
Many Mastodon users dream of only pressing a button or not even that, and some AI automagically generates a perfect alt-text for their image. Perfectly accurate with exactly the details required for the context and the intended audience as well as the expected audience, all while following every last image description and alt-text rule out there to a tee.
It's perfectly understandable. Mastodon had begun to feel like child's play when they were suddenly pressured into describing each and every image they post. Worse yet, it seems like over 90% of all Mastodon users do everything on a phone with no access to a hardware keyboard whatsoever. So they have to fumble their alt-texts into a screen keyboard while not even being able to see the image they're describing.
I'm neither on Mastodon nor on a phone. I've got the luxury of having a desktop computer with a hardware keyboard and being able to bllind-type. So I don't have a problem with writing my image descriptions myself with no help from an AI.
In fact, my own original images are all about an extreme niche topic. It's so obscure that no AI will ever be able to describe such images, much less explain them at my level of accuracy and detail. (Explanations go into the post text, by the way, and not into the alt-text, but I always have an additional image description in the post text for my original images anyway.)
I simply know things that no AI will ever know, not ChatGPT and not Claude either, at least not at the point in time when they need that knowledge. And I can see things that will always remain invisible for AIs.
You can develop better models all you want. But they'll never be able to do all that.
#Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #AIVsHuman #HumanVsAI -
@Woochancho @Diego Martínez (Kaeza) 🇺🇾 @🅰🅻🅸🅲🅴 (🌈🦄) Especially whenever humans have advantages over LLMs.
When I describe my own original images, I have two advantages.
One, I know much more about the contents of the image than any AI. That's because my original images always show something from extremely obscure 3-D virtual worlds. On top of that, I may add some extra insider knowledge or explain pop-cultural references in the long description in the post if it helps understand the image and its descriptions.
Two, the LLM can only look at the image with its limited resolution. That's all it has. In contrast, when I describe my images, I don't just look at the images. I look at the real deal in-world with a nearly infinite resolution.
For example, an LLM can only generate a description from a picture of a virtual building. But when I describe it, my avatar is in-world, standing right in front of the building whose picture I'm describing. I can move the avatar around, I can move the camera around, I can zoom in on anything. I can correctly identify that four-pixel blob as a strawberry cocktail wheras the LLM doesn't even notice it's there.
I've actually done two tests using LLaVA. I've fed it two images I had described myself previously to see what happens. It was abysmal. LLaVA hallucinated, it interpreted stuff wrongly and so forth, not to mention that LLaVA's description, even after being prompted to write a detailed description, wasn't nearly as detailed as mine.
In one image, there's an OpenSimWorld beacon placed rather prominently in the scenery. LLaVA completely ignored it. I described what it looks like in about 1,000 characters, and then I explained what it is, what OpenSimWorld is and how it works in another 4,000 characters or so.
It's an illusion that AI will soon catch up with any of this.
Oh, by the way: How is an AI supposed to pinpoint exactly where an image was made if the image shows a place of which multiple absolutely identical copies exist? Or if the image has a neutral background that doesn't even hint at where it was made? I can do that with no problem because I remember where I've made the image.
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🚨 ALERT: Groundbreaking Revelation! 🚨 In an article that could've been written by a sentient eggplant, we learn the shocking truth that AI shouldn't write for you. Why? Because apparently, humans are much better at producing endless lists of tech jargon that nobody will ever read.🥱
https://alexhwoods.com/dont-let-ai-write-for-you/ #AIwriting #AIhumor #TechJargon #HumanVsAI #GroundbreakingRevelation #HackerNews #ngated -
🤖👩⚖️ A riveting tale of mistaken identity: Human vs. AI, where the protagonist fails to convince Aunt Mildred that they're not a chatbot. Spoiler alert: The aunt is still awaiting a #CAPTCHA result. 📜🍿
https://www.bbc.com/future/article/20260324-i-tried-to-prove-im-not-an-ai-deepfake #HumanVsAI #MistakenIdentity #AuntMildred #TechTales #HackerNews #ngated -
@モスケ^^ ❄️🐈🔥🐴 No. Very clearly no.
People keep thinking that AI solves the alt-text problem perfectly. Like, push one button, get a perfect alt-text for your image, send it without having to check it. Or, better yet, don't even push a button, the AI will take care of everything fully automatically.
However, at best, AI-generated alt-text is better than nothing. Oftentimes, AI-generated alt-text is literally worse than nothing.
First of all, AI does not know the context in which an image is posted. But an alt-text should always be written for a specific context because it usually depends on the context what needs to be described at all and on which level of detail.
This means that AI tends to leave out details that may be important while describing details that literally nobody is interested in.
AI can't take your target audience/your actual audience into consideration either. It can't write an alt-text specifically for that audience, fine-tuned for what that audience knows, what it doesn't know and what it needs and/or wants to know.
Worse yet, AI tends to hallucinate. It tends to mention stuff in an image that simply isn't there. It tends to describe elements of an image falsely. You could post a photo of a Yorkshire terrier, and the AI may think it's a cat because it can't distinguish it from a cat in that photo.
Seriously, AI may get even descriptions of simple images of very common things wrong. If you post images with very obscure, very niche content, AI fares even worse because it knows nothing about that very obscure, very niche content.
If you post a screenshot from social media, AI will not necessarily know that it has to transcribe the text in the screenshot 100% verbatim. And just pushing one button or running AI on full-auto, the thing that so many smartphone users are so much craving for, will not prompt it to do so.
If you want good, useful, accurate, sufficiently detailed image descriptions that match both the context of your posts and your audience, you will have to write them yourself.
Trust me. I know from personal experience. I post some of the most obscure niche stuff in the Fediverse. And I've pitted an image-describing AI against my own 100% hand-written image descriptions twice already. The AI failed miserably to even come close to my descriptions in both cases.
#Long #LongPost #CWLong #CWLongPost #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #AIVsHuman #HumanVsAI -
@iolaire This is my personal analysis of the AI-generated image description, quote-posted from my original comment in the thread linked in my first comment:
RE: https://hub.netzgemeinde.eu/display/451d2f06-7746-4227-a043-76a959420c29
(6/6)
#Long #LongPost #CWLong #CWLongPost #QuotePost #QuoteTweet #QuoteToot #QuoteBoost #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLaVA #AIVsHuman #HumanVsAI -
@iolaire After I have written the long description, distilled the short description from it and posted the image with both, I have asked a LLM AI for a description.
The AI of my choice was LLaVA 1.6: https://llava.hliu.cc/
The prompt was, "Describe the image in detail."
LLaVA took about half a minute to generate this image description:The image depicts a modern architectural structure with a distinctive design. The building features a large, curved roof that appears to be made of a reflective material, possibly glass or polished metal. The roof is supported by several tall, slender columns that are evenly spaced and rise from the ground to the roof's edge. The structure has a circular emblem on the front, which includes a stylized letter 'M' and a series of concentric circles, suggesting it might be a logo or emblem of some sort.
The building is situated on a landscaped area with a well-maintained lawn and a few trees. There is a paved walkway leading up to the entrance of the building, which is not visible in the image. The sky is clear with a few scattered clouds, indicating fair weather conditions. The overall style of the image is a digital rendering or a photograph of a 3D model, as indicated by the smooth surfaces and the absence of any visible texture or imperfections that would be present in a real-world photograph. There are no visible texts or brands that provide additional context about the building's purpose or location.
(5/6)
#Long #LongPost #CWLong #CWLongPost #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLaVA #AIVsHuman #HumanVsAI -
@iolaire Allow me to give you an example.
This is the image I'm talking about: https://hub.netzgemeinde.eu/photos/jupiter_rowland/image/b1e7bf9c-07d8-45b6-90bb-f43e27199295 (linked instead of embedded so I don't have to go through the hassle of having to describe it right here right now).
This is the thread in which I've posted the image before, including image descriptions, also including a comment with the AI description and an analysis of the AI description in comparison with my own descriptions: https://hub.netzgemeinde.eu/item/f8ac991d-b64b-4290-be69-28feb51ba2a7 (yes, this is part of the Fediverse; it's on the same Hubzilla channel that I'm commenting from right now).
(2/6)
#Long #LongPost #CWLong #CWLongPost #FediMeta #FediverseMeta #CWFediMeta #CWFediverseMeta #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #AIVsHuman #HumanVsAI -
@iolaire I've pitted an image-describing LLM AI against my own 100% hand-written image descriptions twice so far. I have first described an image myself, twice even, with a "short" description for the alt-text and a long, fully detailed description with text transcripts and all necessary explanations for the post text.
However, I'm always at an unfair advantage. My images are renderings from very obscure 3-D virtual worlds. LLMs know next to nothing or actually nothing about these worlds whereas I dare say I'm an expert on them. An AI couldn't even tell whether the image is from a game or from a virtual world, much less which virtual world. I can not only exactly pinpoint where the image was taken (which place on which sim in which grid), but also explain the location and these virtual worlds in general.
Besides, an AI would describe the image by examining the image. I describe my images by going in-world and looking at the real deal instead of at the image of it. I can see everything at a vastly higher resolution. I can transcribe text that is so tiny in the image that it's invisible. I can even look around obstacles and see what's behind them if necessary. No LLM AI can do any of this.
(1/6)
#Long #LongPost #CWLong #CWLongPost #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #AIVsHuman #HumanVsAI -
In a groundbreaking #revelation, a group of keyboard warriors has discovered that #AI isn’t human! 🧠🤖 Despite their ability to chat about your disastrous love life and critique your questionable fashion choices, these silicon brains still can’t do basic math or resist a juicy conspiracy theory. But fear not, scaling them up will *definitely* bridge that gap! 🚀😆
https://research.roundtable.ai/capabilities-humanness/ #KeyboardWarriors #TechHumor #ConspiracyTheory #HumanVsAI #HackerNews #ngated -
AI discovers a 5x faster MoE load balancing algorithm than human experts
https://adrs-ucb.notion.site/moe-load-balancing
#HackerNews #AI #MoE #Algorithm #LoadBalancing #TechInnovation #HumanVsAI
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Forget AI generating art, how about a human *mimicking* AI-generated art? Tianran Mu went viral for making 'AI slop' with 100% human effort. The irony is delicious. Are we witnessing the artistic ouroboros, or just peak meta?
Read more: https://www.wired.com/story/made-in-china-the-chinese-creator-who-imitates-ai-slop/
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The battle for authentic content: AI "humanisers" promise to remove robotic stiffness, but can they rival human editors for true nuance and creativity? This piece dives into the algorithmic vs. humanistic approaches, suggesting a synergistic blend might be the future. Where do you draw the line between AI polish and indispensable human touch?
https://www.artificialintelligence-news.com/news/how-do-ai-humanisers-compare-to-human-editing/
#AI #ContentCreation #HumanVsAI #TechNews #Editing -
Looks like AI's got a serious appetite for the internet, and everyone's wondering if human-made content can still fight its way to the top. Publishers are playing defense, but is it a losing battle or a necessary evolution? What's your prediction for the content landscape? Will AI truly 'win'?
#AI #TechNews #ContentCrisis #DigitalFuture #HumanVsAI
Read more: https://www.cnet.com/tech/services-and-software/ai-is-eating-the-internet-but-many-are-hopeful-human-made-content-will-win-out/#ftag=CAD590a51e -
In the thrilling saga of Terence vs. AI 🤖, our hero discovers that #LLMs can't outdo a sleepy human in the thrilling sport of list comparison. Who knew that silicon-brained titans could stumble over a task so elementary even a toddler could manage it during nap time? 🍼💤
https://shkspr.mobi/blog/2025/09/llms-are-still-surprisingly-bad-at-simple-tasks/ #TerenceVsAI #HumanVsAI #ListComparison #TechHumor #NapTimeChallenges #HackerNews #ngated -
Looks like US adults are having an existential crisis about AI. A new survey indicates fears that AI will make us *worse* at being human – impacting our critical thinking and emotional intelligence. Are these fears justified, or are we underestimating our own adaptability?
#AI #TechEthics #HumanVsAI #FutureOfWork #CriticalThinking
https://www.cnet.com/tech/services-and-software/us-adults-worry-ai-will-make-us-worse-at-being-human-new-survey-says/#ftag=CAD590a51e -
Using AI to upgrade your personal OS: Insights from an executive coach - This week on the GeekWire Podcast: Mark Briggs, an executive coach, AI strate... - https://www.geekwire.com/2025/using-ai-to-upgrade-your-personal-os-insights-from-an-executive-coach/ #organizationalintelligence #personaloperatingsystem #workplacetechnology #executivecoaching #meetingfollow-ups #geekwirepodcast #procrastination #aiproductivity #note-taking #leadership #markbriggs #humanvsai #podcasts #botornot
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@Georg Tuparev "The best image descriptions" as in better than other AI?
Or as in describing all images better, at greater detail and with higher factual accuracy than any human possibly could, no exceptions? Even including human experts on an extreme niche topic?
#ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #AIVsHuman #HumanVsAI -
A fascinating "human vs. machine" story from the recent AtCoder programming finals.
For nearly all of the 10-hour optimization challenge, an OpenAI model held first place
In a last-minute twist, human competitor Psyho (a former OpenAI engineer) managed to pull ahead and win.
This feels like a watershed moment, reminiscent of AlphaGo vs. Lee Sedol. We might be seeing the last time a human wins this competition
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@nihilistic_capybara Yes. As a matter of fact, I've had an AI describe an image after describing it myself twice already. And I've always analysed the AI-generated description of the image from the point of view of someone who a) is very knowledgeable about these worlds in general and that very place in particular, b) has knowledge about the setting in the image which is not available anywhere on the Web because only he has this knowledge and c) can see much much more directly in-world than the AI can see in the scaled-down image.
So here's an example.
This was my first comparison thread. It may not look like it because it clearly isn't on Mastodon (at least I guess it's clear that this is not Mastodon), but it's still in the Fediverse, and it was sent to a whole number of Mastodon instances. Unfortunately, as I don't have any followers on layer8.space and didn't have any when I posted this, the post is not available on layer8.space. So you have to see it at the source in your Web browser rather than in your Mastodon app or otherwise on your Mastodon timeline.
(Caution ahead: By my current standards, the image descriptions are outdated. Also, the explanations are not entirely accurate.)
If you open the link, you'll see a post with a title, a summary and "View article" below. This works like Mastodon CWs because it's the exact same technology. Click or tap "View article" to see the full post. Warning: As the summary/CW indicates, it's very long.
You'll see a bit of introduction post text, then the image with an alt-text that's actually short for my standards (on Mastodon, the image wouldn't be in the post, but below the post as a file attachment), then some more post text with the AI-generated image description and finally an additional long image description which is longer than 50 standard Mastodon toots. I've first used the same image, largely the same alt-text and the same long description in this post.
Scroll further down, and you'll get to a comment in which I pick the AI description apart and analyse it for accuracy and detail level.
For your convenience, here are some points where the AI failed:- The AI did not clearly identify the image as from a virtual world. It remained vague. Especially, it did not recognise the location as the central crossing at BlackWhite Castle in Pangea Grid, much less explain what either is. (Then again, explanations do not belong into alt-text. But when I posted the image, BlackWhite Castle had been online for two or three weeks and advertised on the Web for about as long.)
- It failed to mention that the image is greyscale. That is, it actually failed to recognise that it isn't the image that's greyscale, but both the avatar and the entire scenery.
- It referred to my avatar as a "character" and not an avatar.
- It failed to recognise the avatar as my avatar.
- It did not describe at all what my avatar looks like.
- It hallucinated about what my avatar looks at. Allegedly, my avatar is looking at the advertising board towards the right. Actually, my avatar is looking at the cliff in the background which the AI does not mention at all. The AI could impossibly see my avatar's eyeballs from behind (and yes, they can move within the head).
- It did not describe anything about the advertising board, especially not what's on it.
- It did not know whether what it thinks my avatar is looking at is a sign or an information board, so it was still vague.
- It hallucinated about a forest with a dense canopy. Actually, there are only a few trees, there is no canopy, the tops of the trees closer to the camera are not within the image, and the AI was confused by the mountain and the little bit of sky in the background.
- The AI misjudged the lighting and hallucinated about the time of day, also because it doesn't know where the avatar and the camera are oriented.
- It used the attributes "calm and serene" on something that's inspired by German black-and-white Edgar Wallace thrillers from the 1950s and the 1960s. It had no idea what's going on.
- It did not mention a single bit of text in the image. Instead, it should have transcribed all of them verbatim. All of them. Legible in the image at the given resolution or not. (Granted, I myself forgot to transcribe a few little things in the image on the advertisement for the motel on the advertising board such as the license plate above the office door as well as the bits of text on the old map on the same board. But I didn't have any source for the map with a higher resolution, so I didn't give a detailed description of the map at all, and the text on it was illegible even to me.)
- It did not mention that strange illuminated object towards the right at all. I'd expect a good AI to correctly identify it as an OpenSimWorld beacon, describe what it looks like, transcribe all text on it verbatim and, if asked for it, explain what it is, what it does and what it's there for in a way that everyone will understand. All 100% accurately.
CC: @🅰🅻🅸🅲🅴 (🌈🦄)
#Long #LongPost #CWLong #CWLongPost #OpenSim #OpenSimulator #Metaverse #VirtualWorlds #AltText #AltTextMeta #CWAltTextMeta #ImageDescription #ImageDescriptions #ImageDescriptionMeta #CWImageDescriptionMeta #AI #LLM #AIVsHuman #HumanVsAI