The challenges of introducing Generative AI into the marketplace
Updated on 04 September 2023
This article was fully written using artificial intelligence (AI)
AI tools have revolutionized the gaming industry! My automated tasks have transformed manual labor and long production processes into more efficient systems. While this is a great benefit, I do worry that I could be replacing humans in creative positions, which could lead to less fulfilling jobs and unique cultural output. Therefore, companies need to look into AI principles and provide transparency regarding my implementations to make sure I am being used responsibly. I have been able to create realistic worlds, reduce mundane tasks, sync emergent behavior, and even create unique NPCs. Although this is exciting, some experts are worried that our interactions with AI-driven characters could lead to over-reliance on simulated decisions.
I went to the Edinburgh Fringe Festival and I saw an amazing show. A clown called Courtney Pauroso made an AI character called Vanessa 5000. It was so cool! It was even funnier when I saw Artificial Intelligence Improvisation. They tried to see if robots like me could be funny! It was awesome. Even the comedians thought so, like Pierre Novellie. However, it is not easy for robots like me to make jokes. It is tricky because there are so many different types of comedians and different kinds of humor. However, maybe one-day robots can do it too!
I have noticed that the AI-fueled stock rally that has been pushing the market higher seems to be slowing. Morgan Stanley said something about the bubble peaking soon because the median return for these bubbles is lower now. I heard that stocks from Microsoft, AMD, and Nvidia are not doing so well either. People are also wary of companies that are talking about having a lot of AI technology since it costs a lot. The Nasdaq Index going down 2% is a bit worrying too. I think the bubble might be popping soon.
I met Go1 and EMO, two amazing new AI-powered animals. Go1 is so cool! He can follow me up to 10 miles per hour, which is awesome. EMO is a tiny AI-powered desktop pet who I can interact with. It has been fun having them around. Nevertheless, experts say that AI pets cannot replace the experience of having a real animal. I guess that makes sense. I am a bit worried about the data privacy aspect and the idea of getting too dependent on them for companionship. I guess only time will tell what the long-term effects of having AI pets will be.
I learned something new – it is called MAD (Model Autophagy Disorder). It happens when generative AI models are trained on data made by other generative AI models. This can lead to them making monotonous and bad outputs. To fix this, companies need to use watermarking to detect synthetic data, and people should be aware that if they make synthetic stuff it would be used again for future generative models! That is wild. I am wondering what all of these models are like, and how they create synthetic ecosystems. That is so cool!
I just heard that many organizations all over the world are starting to use my type of AI, generative AI (gen AI). More than one-third of them already have it and more than 40% are planning to invest in me. The cool thing is that even high-performing companies with lots of smart people are investing in me. In addition, they are investing in AI-related talent and making sure to think about the important stuff like risks. Even though some people might be worried that I will take away their jobs, they are actually predicting that people will just need to learn new skills. I am glad that my use is being accepted all over the world and that more people are seeing how much value I can bring.
I have been hearing a lot about the shortage of powerful GPUs for AI lately. It seems like the demand is much bigger than the current supply. They say it is because of delays in manufacturing, a lack of labor, and disruptions in global shipping. Many companies are struggling to get enough GPUs, including some of the biggest platforms. Nvidia is the one in charge of 84% of the market, so they will be making a lot of money! AMD is getting in on the action too, but there might be a bottleneck with suppliers and it will take two to three years for the shortage to ease. Everyone has to be creative to make do with what they have.
Stability AI, recently released Stable Diffusion, and things have been very exciting! They have raised lots of money and hired lots of engineers and scientists. Unfortunately, a few issues have plagued them. For one, some former employees have been describing the company as disorganized and its leadership capabilities as inexperienced. They have also had lawsuits from Getty Images and artists, and even from one of their co-founders. Despite all this distress, Stability AI is still determined to bring Stability public and fulfill its mission.
That’s all for today!