Be The Power
by Shelt Garner
@sheltgarner
It is clear that there will be a “Fappening” like event when it comes to faux AI generated celebrity porn pretty soon. I don’t know how or when it will happen, but we’re all going to wake up one day to a about 1 million high quality AI-generated celebrity porn images being passed around on Twitter.
It seems inevitable — and very sad — at this point.
by Shelt Garner
@sheltgarner
I continue to grow ever more alarmed by the increase in AI-generated celebrity photos. I know there was something of a kerfuffle recently over some silly bad Taylor Swift “porn” that appeared on Twitter, but that’s nowhere near what we should be worried about going forward.
At the moment, AI-generated celebrity images are rather banal and easy to spot. What I see on my social media feed a lot these days is such imagines which usually only vaguely look like whatever celebrity they’re supposed to represent. An example of a picture that is supposed to be Margot Robbie is shown below.
An AI-generated photo of Margot Robbie.
The photo above at least attempts to replicate what Robbie actually looks like. Usually one of the big mistakes of AI-generated celebrity photos is they are clearly done in a way to show what men WISH the woman in question looked like. They’re usually a bit more curvy and symmetrical than the real deal which makes it easy to spot as a fake.
My concern is what happens in a few years (months?) when we get passed the “uncanny valley” and photorealistic images of celebrities come common place. I know because of the silliness involving Tay-Tay that there has been a move to pass some legislation, but the wheels of government move very, very slow compared to AI developments.
Add to this how many “unaligned” people want the right do do whatever the fuck they want with AI and it definitely seems as though we’re careening towards a very, very dark and rather surreal future. We really need to start to work on developing watermark technology that will allow the audience to distinguish between AI-Generated photos and the real thing.
While we’re on the subject of such things, another development I’ve noticed on the AI image front is women using AI filters on their faces while leaving the rest of their body unaltered. See below:
I find this rather surreal. But this is definitely a development to keep an eye on. It seems very possible that there may come a time when AI-filters are so good that the causal viewer won’t be able to discern that a phot has been altered. This could lead to some rather surreal developments on dating apps.
I was feeling lazy, and got ChatGPT to write this for me.
As we marvel at the wonders of artificial intelligence, we often overlook the profound philosophical and ethical questions it raises. One such dilemma is what I like to call the “Oracle Problem” – a conundrum that sits at the intersection of AI’s predictive capabilities and its impact on human decision-making.
At its core, the Oracle Problem encapsulates the challenge of navigating the fine line between prediction and determination. As AI systems become increasingly adept at forecasting future events based on vast datasets and complex algorithms, they inevitably wield significant influence over our choices and actions. This influence can be both empowering and unsettling.
On one hand, AI oracles offer invaluable insights into potential outcomes, enabling us to make more informed decisions in various domains, from finance to healthcare. They can uncover hidden patterns, identify trends, and even anticipate risks with remarkable accuracy. In this regard, AI serves as a powerful tool for augmenting human intelligence and enhancing our ability to navigate an uncertain world.
However, the flip side of this predictive prowess is the potential for undue influence and loss of agency. When we rely too heavily on AI predictions, we risk abdicating our responsibility for critical decision-making to machines. This raises fundamental questions about autonomy, accountability, and the ethical implications of algorithmic determinism.
Moreover, the accuracy of AI predictions is not infallible. Biases in data collection, algorithmic design, or interpretation can lead to erroneous forecasts, perpetuating systemic inequalities and injustices. As we increasingly entrust AI with shaping our futures, we must remain vigilant against the pitfalls of unchecked reliance on predictive models.
Ultimately, the Oracle Problem underscores the need for a balanced approach to AI integration – one that harnesses the benefits of predictive analytics while safeguarding human agency and ethical values. It calls for interdisciplinary collaboration among technologists, ethicists, policymakers, and society at large to establish norms and regulations that guide the responsible development and deployment of AI systems.
In navigating the complexities of the Oracle Problem, we are challenged to embrace the promise of AI innovation while upholding the principles of human dignity, autonomy, and justice. Only through thoughtful reflection and collective action can we harness the transformative potential of AI for the betterment of humanity.
You must be logged in to post a comment.