Catalyst Technologies are Built to Stay (Like ChatGPT)
40% of the executives in Germany think that ChatGPT is just a hype, which will be over in some weeks. But watch out, guys. The AI revolution continuously accelerates as proven by Facebook’s new SAM model, which is based on generative AIs like ChatGPT. And a catalyst technology usually stays :-)
Meta published an artificial intelligence model two weeks ago that can pick out individual objects from within an image, along with a dataset of image annotations that it said was the largest ever of its kind.
Meta does already use technology similar to SAM internally for activities like tagging photos, moderating prohibited content and determining which posts to recommend to users of Facebook and Instagram.
So, you could write cat into a prompt and the software would tag any cat? What is so revolutionary about this? Let me explain. Two years ago we started an internal project in my department, which helped us to tag images for autonomous driving and for getting labeled training data. It was based on open-source computer vision software and a handy user interface. In case you were fast, you were able to segment an object in less than 8 seconds. Now image, you just say or type a word and all segments of that type are segmented. What an amazing productivity gain?! Isn’t it? This has potential to disrupt processes, products and even industries, since you will create labeled training data in record time. It’s amazing.
Meta has already teased several features that deploy the type of generative AI popularized by ChatGPT, which creates brand new content instead of simply identifying or categorizing data like other AI, although it has not yet released a product.