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The Future of Artificial Intelligence for 2023 Is a True Mystery. This Is Because U.S. Regulations on the Topic Aim to Control the Worst Aspects of This Segment. Furthermore, Incredible and Transformative New Forms of AI Are Expected to Arrive This Year, But All of This Is Still Hypotheses in the Field.
In 2022, with the success of the Lensa, an AI-powered selfie application developed by Primas Labs, many other applications with this technology are expected to emerge. In fact, the market believes that they could be tricked into creating NSFW images to sexualize and alter the appearance of women.
In this regard, senior policy researcher at the Mozilla Foundation, Maximilian Gahntz, points out that the integration of these applications with generative AI could amplify the effects of these systems, whether that is a good or bad thing.
As an example, we have Stable Diffusion, which was trained on millions of images from the internet until it could associate certain concepts and words with certain images. This happened because current text generation models are easily misled to produce misleading or fraudulent content.
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While the British Navy takes up to six years to build a single 8,500-ton anti-missile destroyer like the Type 26, the United States Army has put the AeroVironment’s AMP-HEL laser system to a safety test at the White Sands Missile Range in New Mexico. This system is capable of shooting down enemy drones for a few dollars per shot with a continuous 50-kilowatt beam, and the FAA approved the automatic shutdown after a commercial plane unexpectedly crossed the firing zone during the test conducted between March 7 and 8.
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USA allocates $1 billion to transform billions of liters of water from the Gulf of Mexico into potable water in Texas with a megaplant of 50 million gallons per day as reservoirs operate below 30% and drought threatens millions
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China launches an unprecedented nuclear plant with 3 reactors in the same complex to generate 11.5 billion kWh and deliver 32.5 million tons of industrial steam per year directly to petrochemical refineries without first converting all the heat into electricity.
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While tourists gather daily to see the tomb of Tutankhamun, archaeologists consider the burial chamber of Pharaoh Ramesses VI, excavated 45 meters below the surface of the Valley of the Kings in Luxor, as the most richly decorated in all of Ancient Egypt, with 100 meters of corridors covered by six complete funerary books painted in gold and Egyptian blue on limestone walls carved more than 3,150 years ago.
Thus, a member of the open research group Knives and Paintbrushes, Mike Cook, states that generalized artificial intelligence will be a problematic force of change in 2023. Regarding the topic, he noted that “It’s not enough to motivate a community of experts [to create new technology] – for the technology to become a part of our lives long-term, it must generate a lot of money for someone or have a significant impact on the everyday lives of the general public.”
Artists Lead the Effort to Disable Datasets
At the end of 2022, DeviantArt launched an AI art generator, developed on Stable Diffusion, and fine-tuned with the art from its own community. For long-time members of DeviantArt, the art generator was not viewed positively, as they criticized the platform’s lack of transparency in using copyrighted art to train the system.
In this sense, the creators of these generators claim that they have taken steps to limit the amount of harmful content their systems produce. However, looking at the generations on social media, it is clear that there are still barriers to be addressed.
On the subject, one of the officials from Stability AI, the company behind the generator, stated that “Datasets require active curation to address these issues and should be subjected to significant scrutiny, including from communities that tend to be left holding the short end of the stick.” For him, there are controversies regarding the control that exists on social media.
Additionally, after public pressure, Stability AI indicated that it would allow artists to opt out of the dataset used to train the next-generation Stable Diffusion model. Thus, through the site HaveIBeenTrained.com, rights holders will be able to request cancellations before training begins in a few weeks.
Finally, it is worth noting that OpenAI, also responsible for the AI behind DeviantArt, does not allow this exclusion mechanism, preferring to partner with organizations like Shutterstock to license parts of their image galleries. However, due to the issues it faces with Stability AI, it is likely that it will quickly offer the option for users to opt out.
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