#Limitations Of Generative AI

[cyle]

still confused how to make any of these LLMs useful to me.

while my daughter was napping, i downloaded lm studio and got a dozen of the most popular open source LLMs running on my PC, and they work great with very low latency, but i can't come up with anything to do with them but make boring toy scripts to do stupid shit.

as a test, i fed deepseek r1, llama 3.2, and mistral-small a big spreadsheet of data we've been collecting about my newborn daughter (all of this locally, not transmitting anything off my computer, because i don't want anybody with that data except, y'know, doctors) to see how it compared with several real doctors' advice and prognoses. all of the LLMs suggestions were between generically correct and hilariously wrong. alarmingly wrong in some cases, but usually ending with the suggestion to "consult a medical professional" -- yeah, duh. pretty much no better than old school unreliable WebMD.

then i tried doing some prompt engineering to punch up some of my writing, and everything ended up sounding like it was written by an LLM. i don't get why anybody wants this. i can tell that LLM feel, and i think a lot of people can now, given the horrible sales emails i get every day that sound like they were "punched up" by an LLM. it's got a stink to it. maybe we'll all get used to it; i bet most non-tech people have no clue.

i may write a small script to try to tag some of my blogs' posts for me, because i'm really bad at doing so, but i have very little faith in the open source vision LLMs' ability to classify images. it'll probably not work how i hope. that still feels like something you gotta pay for to get good results.

all of this keeps making me think of ffmpeg. a super cool, tiny, useful program that is very extensible and great at performing a certain task: transcoding media. it used to be horribly annoying to transcode media, and then ffmpeg came along and made it all stupidly simple overnight, but nobody noticed. there was no industry bubble around it.

LLMs feel like they're competing for a space that ubiquitous and useful that we'll take for granted today like ffmpeg. they just haven't fully grasped and appreciated that smallness yet. there isn't money to be made here.

[choices-binglebonkus]

Also apparently people are upset that Do No Harm is only eight chapters…meanwhile I’m sitting here like…….what did you expect??? It’s AI slop. It’s not even real work. How could you reasonably expect what is very clearly a story almost entirely (if not, completely) generated and stylized by AI to sustain itself for longer durations?

[legendaryskyscale]

I queue up GW2 content from the #gw2 tag until I hit 300 queued posts, then shuffle the queue and leave it for a week. Then I repeat the process the following week.

I also just reblog from GW2 mutuals when I'm logged in and browsing my dash.

i hadn't been active in a bit but lately i feel the need to keep this sideblog active, and i want to spread more gw2 fan creation to new and returning fans following this blog.

I still love this mmo to bits and I still want to keep this sideblog thriving, and thanks to all of you in the gw2blr, I can keep trying to make this blog a hub for sharing your creations for this wonderful mmo. 💜

[skeletalheartattack]

Subtitles below the keep reading:

Hey you, shut your mouth and look at my paw! DON'T FORGET!! [Incomprehensible sped up gibberish] This... Journey... Money... Loads of coins. [Incomprehensible sped up gibberish] What-about-her? What-about-her? ... What-about-her? 'She still like me? [Quiet but mostly incomprehensible gibberish about subtitles] O P S O P N O-1 1. Here's the spell: Love the mermaid, for sure! The mermaid is HAPPY! Okay! It's pretty normal for a fish, right? Guuuyyyssss, beeeee caaarefuuulll wiiiiith theeee GIIIIIRRRRLSSS!!! [Incomprehensible] Oh! Silly! Oh yes! Lamb chop boy! [Incomprehensible] [Very quietly, while white noise is playing over it] Goood eevening, aand weeelcome too the shoooowww... [In the background] Ohhh, mooney!

[strixton]

no I won't let generative ai plan my meals. no I won't let generative ai manage my health. not I won't let generative ai write my papers. no I won't let generative ai inform me on the news. no I won't let generative ai help me study. no I won't let generative ai do anything with my life

I don't want generative ai in my life. I want my ai to be able to clean dishes or fold my laundry.

I don't want it near my humanity.

[dieterziegler159]

How Do Nuances Shape the Impact of Generative AI?

See how the nuances of generative AI drive breakthroughs and challenges in industries, shaping its overall impact. Generative AI is revolutionizing industries through increased creativity, new productivity, and innovation. However, the contextual details that are inherent in this technology make a significant difference between its efficiency, trustworthiness, and repercussions in society. In…

[generative-ai-in-bi]

How Do Nuances Shape the Impact of Generative AI?

Learn how small nuances in data and algorithms significantly alter the outcomes and influence of generative AI technology.

Generative AI is revolutionizing industries through increased creativity, new productivity, and innovation. However, the contextual details that are inherent in this technology make a significant difference between its efficiency, trustworthiness, and repercussions in society. In this article, they have discussed certain critical aspects of Generative AI, including their significance, the consequences of these nuances and their role in the evolution of Generative AI.

Understanding the Nuances of Generative AI Technology

Generative AI is an advanced form of artificial intelligence which uses machine learning techniques, specifically the deep learning, to produce new content. Such content may be textual, graphical, musical, or even complex data mappings. The components are well established, and the control of the process relies on small parameters, or factors that are easily overlooked but can greatly affect the final result.

Part of the subtleties of Generative AI is the data used to train these models. The kind, variety and volume of the training data can greatly affect the generated output. The model trained from a small dataset may generate some bias and non-diverse content that may lead to production of wrong results. Further, there is the choice of algorithms and fine-tuning process, which add some fine details that determine how well an AI will generalize to new data or different contexts.

It is necessary to consider all these factors in dealing with Generative AI systems in order to achieve the best results possible. No matter whether it is about creating the application for content generation, design, or scientific research, a deeper understanding of the nuances of that technology can enhance the results and make the user be more aware of the technology’s strengths and weaknesses.

The Importance of Nuance in Generative AI Applications

Special considerations are critical in defining the performance of generative AI applications in various industries and geographical areas. For instance, in marketing, an advert created by an AI has to fit the cultural and social requirement of the intended information recipients for its effectiveness. Absence of subtlety is very dangerous as a communication can turn out to be either unimpressive or even provocative.

Think of automated content generation solutions only for product descriptions or customer outreach. These tools need to know not only concrete semantics of the words but also their nuances, which can be quite different when translated into different languages or used in different cultures. A generative AI system trained mostly on data from one region may not be as efficient in another as a result of these cultural disparities.

In addition, the use of nuance plays a significant role in how the AI handles the user’s interface. Here we have seen that in customer service, generative AI chatbots have to query and answer with sensitivity and understanding that cannot simply be achieved using the literal meaning of the words used. This includes understanding the emotional content and context of a conversation—features closely associated with variation in language.

Given that generative AI is becoming a part of day to day processes within organizations, there is a need to ensure that AI systems deployed are culturally and contextually competent. This has become quite important more so for companies that are in the global market since applying a singular strategy in various markets can cause misunderstanding.

Nuances in Language and Cultural Differences

Language is complex and holds several nuances that generative AI needs to understand in order to function optimally. Such details may range from colloquialisms specific to a region to idioms that cannot be literally translated from one language into another. For instance the English equivalent of “break a leg” used when wishing a person luck in his or her performance may have a negative impact on the person if interpreted literally.

Cultural factors add to these dynamics in even more ways including; The same thing that would be considered funny in one culture may be considered as a taboo in the other. Generative AI should capture these differences to ensure that it produces relevant and impactful content in all the cultures. This is particularly difficult because culture is not a fixed environment; it changes, and so should the AI that is interacting with it.

The generative AI issues that exist in this field are therefore complex. AI can not only identify these cultural and linguistic variations but also adjust the outputs based on them. This implies that there is need for development of complex algorithms that can easily identify difference in the usage of language and cultural differences and learn on this in real-time.

However, in the context of international business AI’s capability to manage such subtleties is a benefit. Some of the successful factors which portray Companies that employ AI system that has ability to recognize cultural sensitivity are favourable in International markets. This is the reason why while developing the AI technologies it is not enough to make them simply smart but also respecting the linguistic and cultural differences.

How Nuances Affect the Capabilities and Limitations of Generative AI

Content Quality:

Nuances directly impact the quality of AI-generated content. Decoding of top level contextual cues like the cultural or generational references enables the generation of a more fitting content by the AI. Without this, the output may have all the technical input, a human touch, which makes content engaging is missing.

User Interaction:

Nuances in language and tone significantly affect how users perceive and interact with AI. An AI system that does not recognize these nuances may create an awkward image of being cold and inattentive to the customer’s feelings and that would not go well with the user.

Ethical Considerations:

Nuances also play a crucial role in the ethical deployment of AI.  For example, AI has to be very cautious when concerning such issues as it has to grasp the consequences of its outputs in certain cultures. Screw ups on this can cost you ethical violations and a tarnished reputation.

Adaptability:

Therefore, depending on the amount of nuance in new situations or data, this can or cannot manifest as an issue in the performance of generative AI. These systems are more adaptable and reliable for a wider range of uses because they have adapted to receiving new and varying inputs like multicultural or multilingual inputs.

AI Boosting Productivity:

Nuanced understanding enables AI to enhance productivity by generating content that is not only correct but also contextually appropriate and effective. This capability is important in industries as marketing, customer service and content creating businesses where communication matters most.

Navigating the Nuances to Maximize the Benefits of Generative AI

Training with Diverse Data:

Yet to address the nuances, generative AI systems should be trained on a diverse set of data that contains cultural, linguistic and contextual information. This means that the AI will be able to understand the nuanced differences between areas and sectors within the world.

Continuous Learning:

AI systems needs to be made capable of learning as new data appears in the environment and particularly cultural norms as language evolves. The existence of feedback loops that permit modification of AI results depending on the users’ responses can greatly improve its performance.

Ethical Frameworks:

Ethical frameworks are hence key since they will help AI to avoid socially sensitive matters, as well as accommodate for cultural differences. These frameworks should be embedded into the AI’s decision-making algorithms so that the outputs are not only correct but also culturally sensitive.

Customizable Outputs:

Enabling users to customize AI-generated content eliminates the problem created by nuances as users can customize them. This way the AI system allows users to have more control over the tone, style and the cultural context of the output which makes the result to be more suitable to the identified needs.

Collaboration with Human Experts:

Combining AI’s computational power with human expertise can help navigate nuances more effectively. This human intervention also enshrines appropriateness and ethical considerations of the AI-produced information especially in critical environments.

Conclusion: Embracing the Nuances of Generative AI for Positive Impact

As the generative AI progresses, its potential will also depend on how well the AI systems will understand language, culture, and context. This understanding is now vital for businesses and developers to achieve all the benefits that AI has to offer. However, it becomes possible to accept those issues and consider enhancing strategies to follow them, as it opens doors to develop new potential of AI, improve interpersonal communication, and advance innovation in various fields.

Overall, the future of generative AI is promising, but it will be important to grasp and orient the highly contextual and flexible ways in which it relates to reality. By adhering to the best practices mentioned above regarding generative AI including, data quality, continual learning and incorporating ethical principles, the role of generative AI can be leveraged to its full potential in a way that benefits society and improves the nature and efficacy of every application.

Original source: https://bit.ly/3MrYDIf

[chunkecheeks]

also chatgpt just straight up fucking lies. it still lies. it has not gotten past the lying.

one of my classes made us use it to help with lesson planning and it gave me books for my students to read that straight up did not exist

[booksandabeer]

"An Ai may know more about the history of the First World War than all human historians put together. Every detail of every battle, all the recorded facts of personnel and materiel that can be known. But in fact I know more about it because I have read the poems of Wilfred Owen. I’ve read All Quiet on the Western Front. I’ve seen Kubrick’s The Paths of Glory. So I can smell, touch, hear, feel the war, the gas, the comradeship, the sudden deaths and terrible fear. I know it’s meaning. My consciousness and experience of perceptions and feelings allows me access to the consciousness and experiences of others; their voices reach me. These are data that machines can scrape, but they cannot — to use a good old 60s phrase — relate to. Empathy. Identification. Compassion. Connection. Belonging. Something denied a sociopathic machine. Is this the only little island, the only little circle of land left to us as the waters of Ai lap around our ankles? And for how long?"

– Stephen Fry

[lucithornz]

Some people need AI to make their fics this isn't as cut and dry and you and your friends are making it out to be. It's a tool that helps people be creative. Please try to be more open minded

I really don't want to dignify this with a full response because I feel like I have made my points clear on this issue.

HOWEVER

It's all fun and games until you need your precious little AI to write a fanfiction about your characters building a pipe bomb

[ananke-xiii]

lately i'm flirting with the idea of seeing s15 Chuck acting towards Sam and Dean just like Sam and Dean usually act towards "normal" people. I mean, these two come to town one day, knock on someone's door and then, in one way or another, proceed to completely destroy someone's perception of reality. Yeah, sorry to inform you but monsters are, like, real-real. Fiction bursts into reality in the worst possible way and there's nothing anybody can do about it. Unless you're Doug. In that case you could just dump your girlfriend/coworker and pretend that nothing ever happened.

Chuck does something very similar but way worse to Sam and Dean because what Chuck really does is taking away from them their claim to fiction. Like, it's just so much more interesting if I look at Chuck as someone who's not appropriating Sam and Dean's perception of reality, rather their right to fiction.

[skeletalheartattack]

bozo dubbed over dubbed over

[icepoptroll]

Why'd you make your fic available to only registered users on AO3? I'm just curious, and maybe a little mad about the fact I have to wait nine days to get registered.

Sorry if this came off as rude, btw.

Hi friend, I'm really so sorry about that, I hated to have to do that but I had a good reason.

I had learned of an AI company going through ao3 and scraping up public fics to use them to train their AI writing machines. I'm very much against generative AI being used to make art or write stories and I did not want any aspects of my work potentially being stolen and cropping up in some Frankenstein creation later down the line. Since this bot can't scrape works that are only available to registered users, as it isn't a registered user, I went ahead and took that step to protect my work from it. I'm not happy about it either, as guests were giving me engagement on the fic and now I'm not getting nearly as much. However, it sort of felt like a necessary evil so for the time being that's how I'm going to have it, at least until I find out more about whether this effort is even enough to keep it safe. If I find out it's not and that it's still just as at-risk for being scraped I'll probably just go ahead and make it public again.

Genuinely very sorry you have to wait so long as I'm always an eager mcbeaver for people to read my fic and share their thoughts, but I do hope that once you are able to register you'll still be interested in reading it. I'm really very proud of it so far and I hate not being able to share it freely.

[annihilatius]

The reason why I hate interacting with fandoms especially on Tumblr and AO3 is because I have this insecurity where I feel intimidated by people I think are smarter than me (probably the mental illnesses) and when it comes to mature game series' with layered complex subjects and issues in the canon material y'know like Bioshock it feels like nearly EVERYONE is smarter than me so I just stay in my own little hole where I don't feel like I have to compete to be the most "right" with others. When it comes to characters or subjects I don't give a shit about it doesn't make me feel anything because I didn't have any particular opinion on it anyway so theres no room for me to feel like I'm wrong, but when it comes to characters I am passionate about and someone else imposes on it with an idea I've never even considered my brain immediately goes into "Are You Challenging Me" mode.

This isn't meant to be a vent post it's just me rambling because I'm stressed and I also don't expect anyone to relate to this but ... hell idk. I know it's just fandom it's not real none of this matters in judging someones intellect, but I guess it's because I hate feeling like I'm stupid yet I can't shake this feeling that I'll never be smart. And anytime I feel like I finally said something remarkable or insightful someone butts in with something I wish I had thought of first. I want to be smart I want to be someone other people look up to and consider the ideas of but I never will be because my ideas are shit. Am I just a bad storywriter? Because anytime I try to make my own original story or add onto one that already exists, I completely fumble it and end up abandoning it either out of loss of motivation or realizing it's a lost cause. I'd like to write something good someday that invites a new idea to people's heads that they didn't consider before but I'm so uncreative that I don't feel like I'll ever get anywhere. I DON'T KNOW WHAT I'M DOING I have all of these unrelated parts that I WANT to do something with but I don't know how to feasibly stick them together and everyone does it so easily

[hislittleraincloud]

You'll never read this, nor will you see the uncensored cover.

It is RPF.

Carry on with the pearl clutching, since I know someone's gonna point out my raging against RPF. REEEEEEEEEEEE — keep going. IDGAF

My stance on RPF is still the same: I don't really care for it and I'd never publish anyone's personal self-centered celebrity fantasies publicly; this is a private fan fiction project for someone who may or may not deserve it 💥🩴💥 but who has endeared me to their presence in my life somehow. See what being on my friendlier side gets you? Almost anything you want.

The bulk of the cover was generated by CGPT but I had to play plastic surgeon on her face/fivehead

OG generation on left, post-PS on right. Good enuff.

I was too lazy to paint in the freckles.

[simplyfroggy]

i fear my hottest most boomer take is that not everything has to be for everyone