Over the last few years, artificial intelligence (AI) has worked its way into every area of our lives. If you’re a programmer, chances are you’ve started working with GitHub’s Copilot, an AI tool that turns natural language prompts into coding suggestions to expedite programming. If you’re a writer, you might have come across OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text. It was just a few years ago such AI programs were in their infancy. Now they are becoming ubiquitous tools in writing and coding.
As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.
The Growth Of AI
Many of us have spent a few hours playing around with DALL-E 2, the AI text-to-image generator that can create detailed images out of the most bizarre requests (think Obi-Wan Kenobi eating a hot fudge sundae). But how many of us realize the level of technology that goes into the creation of one of those images? This app doesn’t create images out of existing internet images but rather uses a complicated process called diffusion to refine a series of pixels until the visual rendering matches the text description. Not only is DALL-E 2 exponentially more powerful than its predecessor released the year before, but it has the potential to revolutionize the world of digital art.
Think about it—if you are a digital artist, illustrator or graphic designer, how much would your career change if you could use an app to create a realistic-looking image within seconds? These technologies tie to real-world applications with serious implications.
Continue reading:
https://www.forbes.com/sites/forbesbusinesscouncil/2022/10/07/recent-advancements-in-artificial-intelligence/?sh=2827581f7fa5
As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.
The Growth Of AI
Many of us have spent a few hours playing around with DALL-E 2, the AI text-to-image generator that can create detailed images out of the most bizarre requests (think Obi-Wan Kenobi eating a hot fudge sundae). But how many of us realize the level of technology that goes into the creation of one of those images? This app doesn’t create images out of existing internet images but rather uses a complicated process called diffusion to refine a series of pixels until the visual rendering matches the text description. Not only is DALL-E 2 exponentially more powerful than its predecessor released the year before, but it has the potential to revolutionize the world of digital art.
Think about it—if you are a digital artist, illustrator or graphic designer, how much would your career change if you could use an app to create a realistic-looking image within seconds? These technologies tie to real-world applications with serious implications.
Continue reading:
https://www.forbes.com/sites/forbesbusinesscouncil/2022/10/07/recent-advancements-in-artificial-intelligence/?sh=2827581f7fa5
