#safe AI

[ixnai]

The allure of speed in technology development is a siren’s call that has led many innovators astray. “Move fast and break things” is a mantra that has driven the tech industry for years, but when applied to artificial intelligence, it becomes a perilous gamble. The rapid iteration and deployment of AI systems without thorough vetting can lead to catastrophic consequences, akin to releasing a flawed algorithm into the wild without a safety net.

AI systems, by their very nature, are complex and opaque. They operate on layers of neural networks that mimic the human brain’s synaptic connections, yet they lack the innate understanding and ethical reasoning that guide human decision-making. The haste to deploy AI without comprehensive testing is akin to launching a spacecraft without ensuring the integrity of its navigation systems. The potential for error is not just probable; it is inevitable.

The pitfalls of AI are numerous and multifaceted. Bias in training data can lead to discriminatory outcomes, while lack of transparency in decision-making processes can result in unaccountable systems. These issues are compounded by the “black box” nature of many AI models, where even the developers cannot fully explain how inputs are transformed into outputs. This opacity is not merely a technical challenge but an ethical one, as it obscures accountability and undermines trust.

To avoid these pitfalls, a paradigm shift is necessary. The development of AI must prioritize robustness over speed, with a focus on rigorous testing and validation. This involves not only technical assessments but also ethical evaluations, ensuring that AI systems align with societal values and norms. Techniques such as adversarial testing, where AI models are subjected to challenging scenarios to identify weaknesses, are crucial. Additionally, the implementation of explainable AI (XAI) can demystify the decision-making processes, providing clarity and accountability.

Moreover, interdisciplinary collaboration is essential. AI development should not be confined to the realm of computer scientists and engineers. Ethicists, sociologists, and legal experts must be integral to the process, providing diverse perspectives that can foresee and mitigate potential harms. This collaborative approach ensures that AI systems are not only technically sound but also socially responsible.

In conclusion, the reckless pursuit of speed in AI development is a dangerous path that risks unleashing untested and potentially harmful technologies. By prioritizing thorough testing, ethical considerations, and interdisciplinary collaboration, we can harness the power of AI responsibly. The future of AI should not be about moving fast and breaking things, but about moving thoughtfully and building trust.

[feministfang]

Not the internet suddenly bursting into flames and tears just because some old Japanese manga artist's ghibli art has been replicated using AI without his consent as if men haven’t been using the same advanced technology to create deepfake pornographic images of girls and women without their consent which has resulted in many of them taking their own lives.

[panic-flavored]

Robotnik never dreamed, not once, that he was safe and warm. And he certainly never dreamed that he would be a source of safety and warmth to anyone else.

[weevmo]

Au where a semibot somehow 'befriends' the Huntsman by thieving and eventually returning his precious protective weaponry...

[metamorphicmuse]

Safe Harbor

[sunriseinorbit]

i beat eyeball game 2 last week

[blueberryfruitbat]

AI and Tumblr

In the event of any kind of AI Art API is to be trained on this platform I do not give permission for my art to be sampled or used to train AI without financial compensation, artists hold the copyright to our art and any intentional mimicry or sampling of my art by an artificial intelligence is infringing on an artist's rights to their creations.

We as artists will not take this grim proposal between Tumblr and Midjourney laying down, this was the last safe heaven for a lot of us and you are now holding knives to us entirely to solve your financial woes instead of offering meaningful solutions. You are going to bleed your community of all trust and all revenue you still eek out of us. Your ways have changed from one of a community built around passion for fandom and the creative mind to one of greed and exclusion. You have been showing true colors and they are ugly, they are sickening, and they will kill your platform. If this deal goes through, may your platform die slow and painfully, may you watch your most loyal of whales walk away and leave you drying out in the hot pavement that is bankruptcy.

[king-drawsstuff]

fuck ai 'art'. support human artists.

[magickpancakes]

G0lly! what awesome art!! (hehehe)

I loved drawing this, it turned out so flippin adorable >w<

have the individual G0llys too :3

[bugsontoastt]

i put epsilon in a trash compactor

[st4rry4543]

Silly Lil yarnadough au

Basically, in this au, the doctor finds out about what's been happening with yarnaby and doey, and Yk, since he doesn't want anybody to be happy, he kills yarnaby. Btw in this au yarnaby joined the safe haven crew about 1-2 years before we (the player)arrived .The only problem is that yarnaby still feels some connection with his "Master."

If you have any suggestions or ideas for this au, let me know. :D

[ixnai]

AI is not a panacea. This assertion may seem counterintuitive in an era where artificial intelligence is heralded as the ultimate solution to myriad problems. However, the reality is far more nuanced and complex. AI, at its core, is a sophisticated algorithmic construct, a tapestry of neural networks and machine learning models, each with its own limitations and constraints.

The allure of AI lies in its ability to process vast datasets with speed and precision, uncovering patterns and insights that elude human cognition. Yet, this capability is not without its caveats. The architecture of AI systems, often built upon layers of deep learning frameworks, is inherently dependent on the quality and diversity of the input data. This dependency introduces a significant vulnerability: bias. When trained on skewed datasets, AI models can perpetuate and even exacerbate existing biases, leading to skewed outcomes that reflect the imperfections of their training data.

Moreover, AI’s decision-making process, often described as a “black box,” lacks transparency. The intricate web of weights and biases within a neural network is not easily interpretable, even by its creators. This opacity poses a challenge for accountability and trust, particularly in critical applications such as healthcare and autonomous vehicles, where understanding the rationale behind a decision is paramount.

The computational prowess of AI is also bounded by its reliance on hardware. The exponential growth of model sizes, exemplified by transformer architectures like GPT, demands immense computational resources. This requirement not only limits accessibility but also raises concerns about sustainability and energy consumption. The carbon footprint of training large-scale AI models is non-trivial, challenging the narrative of AI as an inherently progressive technology.

Furthermore, AI’s efficacy is context-dependent. While it excels in environments with well-defined parameters and abundant data, its performance degrades in dynamic, uncertain settings. The rigidity of algorithmic logic struggles to adapt to the fluidity of real-world scenarios, where variables are in constant flux and exceptions are the norm rather than the exception.

In conclusion, AI is a powerful tool, but it is not a magic bullet. It is a complex, multifaceted technology that requires careful consideration and responsible deployment. The promise of AI lies not in its ability to solve every problem, but in its potential to augment human capabilities and drive innovation, provided we remain vigilant to its limitations and mindful of its impact.

[bembwashere]

THERE'S NOTHING THERE.

"I've seen outside of Black Mesa, Dr. Freeman." "There's nothing there."

--- --- ---

Back on the HLVRAI Art grind. I've been wanting to redraw an old piece of art I did around 5 YEARS AGO now when I first got into HLVRAI (god that makes me feel old), And now with the new year, It's fitting to do a remake of an old piece <3 (Extra under the cut!)

A still, glitchless and higher quality version of it! Sad how Tumblr managed to crunch the GIF even further than it was before, but I guess the low quality-ness works with the source material.

[gojoest]

pregnancy freak satoru + lots of spooning sex bc that’s one of the safest and most comfortable positions for when the pregnancy progresses and your belly gets bigger and rounder (he’s done his research) + obviously his hand is glued to your baby bump ALL the time

[tenpintsof-sundrop]

-> people stealing, binding and selling fics on Etsy, risking everything that AO3 has built since the Anne Rice lawsuits

-> AI scraping being everywhere and Gen Z seeing nothing wrong with using AI to "help" fanfiction or outright "write it" for them, while older fanfic authors have struggled for years to perfect the style you love

-> comments being down across the board and consumption culture being at an all time high. a fic gets 800 notes practically overnight and doesn't get a single comment (and sometimes I literally have to beg for comments/feedback on my fics when I know that hundreds of people are reading them)

-> me, grinding my teeth while pouring my heart and soul into a 40k fic that I know will be forgotten by fandom in a month or could possibly be stolen to be sold as a "novel": I do this because I love this. I do this because I love this. I do this because it's my passion. I don't want to quit doing something that I love so much.