Generative Artificial Intelligence and Technology: A Celebration of the Tech ’30th’ Party in San Francisco, where Dan Winters and Sergey Brin met
Guo believes generative AI is a leap in the potential of AI technology similar to one beginning in 2012 that reshaped the whole tech industry and the products it offers. That’s when engineers found that artificial neural networks, a type of machine learning model, could perform remarkable new tricks when given sufficient training data and computer power, such as recognizing the content of photos or transcribing speech.
Social media has lately been overrun by stunning and strange images generated by AI, thanks to advances by Hugging Face and others. Related machine learning technology allows algorithms to generate reams of surprisingly coherent text on a given subject. A few of what are now styled as generative AI companies have collectively raised hundreds of millions of dollars, spurring a hunt for a new generation of AI unicorns.
Stability Artificial intelligence held a party of its own last week in San Francisco. It announced $101 million in new funding, valuing the company at a dizzy $1 billion. Sergey Brin was one of the tech celebrities at the gathering.
Song works with Everyprompt, which makes it easier for companies to use text generation. Like many contributing to the buzz, he says testing generative AI tools that make images, text, or code has left him with a sense of wonder at the possibilities. It has been a long time since I used a website or technology that made me feel good. generative technology made me feel like I was using magic.
Dan Winters, Photographer“Using the AI was entertaining and somewhat inspirational, especially with complex prompts. The cover is better than the one that ran and I couldn’t be more happy with it.
Margaret has been trying to better explain the differences between prompting DALL-E and working with an illustrator. DALL-E gives me a variety of versions of the information that I provided, as well as the fact that it works in a more specific world of things. I think that’s the most important aspect. Illustrators think differently than I do. They take the information that I supply, and then they expand on it. They do their own supplementary research, and they offer alternate approaches and unexpected solutions. Some of the DALL-E results were unexpected but based on random data-crunching from the details I provided. Because I wasn’t providing the unexpected ideas in the prompts, I didn’t get the innovative solutions. The concept can be looked at from a different point of view in the artist’s POV, but the experience is not what it should be. I don’t see severing ties with my illustrator database anytime soon.”