Creating a superior horny AI requires that we keep future of algorithm design and data management in our sights. A study by MIT in 2023 found that the reduction of NSFW content was as high as 40% after AI training datasets were refined. The way this was accomplished is by having developers selectively curate the data beforehand and then inputting it into the model so that they did not have it learn off of sexually suggestive material The paper showed that manipulating the input will ultimately affect the AI's output in one way or another, a concept which lies at the core of much of our artificial intelligence development today.
Similar challenges have historically been seen in the AI industry. In 2016, Microsoft´s Tay chatbot scandal underscores the dangers of uncontrolled ML model-Voice from a machine learning (ML) scientist in this case. Tay, the AI chatbot which was taken offline 24 hours after being launched due to the bad content it produced. The event itself proved that rigorous testing and continual observation have since become industry norm to avoid similar accidents.
Leaders such as Elon Musk have long underscored the importance of ethical AI. Far from the first of many times Musk has warned about AI potentially having catastrophic consequences for society. His calls for tighter regulation and responsible AI development has swayed several tech companies to adopt stronger oversight mechanisms. Such protocols consist of periodic AI system audits proven to improve content moderation efficiency by 30%.
OpenAI has also with the help of new filtering mechanisms developed its content moderation capacity by 50% since early in 2024, from a base point. These use a mix of rule-based systems and neural networks to recognise unsuitable content, with the latter accomplishing more sophisticated detection. The latter is done to ensure higher accuracy (the lower number of false positives, which will annoy users)
But this raises a question: can horny AI ever really be polished enough that it stops creating offensive content? And the answer is a tentative yes, if things keep going in their current trajectory. As millions of dollars continue to be poured into RnD by tech companies — Google alone will spend $15 million on research in 2023 for AI ethics, the industry is taking significant steps. Horny AI aside, with better context-awareness of an AI and training processes in play more recently It could be largely if not entirely a non-issue.
User education also has an important role in this equation. For example, a 2024 report from ZhenXi find training users to work with AI systems has caused improper content generation to drop by 20%. Many times, the specific clear instructions that helps AI to understand user intent better gives right response.
In short, there is still much to be done and the long road that horny AI will have to overcome requires good data management practices combined with ethical consideration from both institutions as well technically speaking (and of course education/demystification on behalf of users). For the curious minds out there, check bunny ai