This week’s showcases of Claude Opus have been truly impressive. To add perspective to the ongoing discourse comparing Claude and ChatGPT, I’d like to present two helpful images: an infographic, and a early grade school textbook illustration demonstrating a basic principle of fluid dynamics.
~or put another way~
These visuals serve to condense critical insight gained from extensive research in the space. At the heart of ‘deep learning’, a concept often shrouded in technical jargon, lies a surprisingly straightforward idea: engineers are essentially channeling the same “fluid” (parameters) into various forms and noting what happens.
Has Claude demonstrated significant technological feats? Undoubtedly. However, amidst the buzz, it’s important to discern the substantial innovation from the hype.
Claude is no more powerful than previous iterations of ChatGPT. Claude is simply tuned to do specific things. It’s new container gives it an opportunity to achieve these specific things more efficiently. It’s capacity to do more will grow with time. But it has a ceiling— even if that ceiling isn’t immediately apparent.
The real interesting stuff happening in the AI space hasn’t hit consumer circles. Large Language Models and their various forms are like Model T’s. Impressive for what they are. Novel when new. Shiny.
Like Model T’s, LLMs will endure far past their peak adoption in some areas, and become a cultural touchstone in others. Much like the Nokia 3310 has for cell phone users.
Most people will likely talk about LLMs even when showroom worthy floor models only exist in museums and/ or the odd home server here and there. Nevertheless— obsolete tech is obsolete tech. Enjoy them while they’re here. They’ll be less prevalent in a flash.
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