Text Is the Universal Interface
Did no one read beyond the first paragraph?<p>This is an article about the effectiveness of large language models, which have learned to do tasks beyond regurgitating text despite only having been trained to regurgitate text.<p>As long as you are able to describe the task as a text stream and are ok with having a text stream as output, GPT-3 might actually be able to do the task with just a couple of examples as context. I saw a talk at Black Hat about using GPT-3 as a spam filter. Because GPT-3 has trained on so much spam, it knows what spam looks like. It just needs a couple of examples, and off it goes.<p>> The most complicated reasoning programs in the world can be defined as a textual I/O stream to a leviathan living on some technology company’s servers.<p>The references to the UNIX philosophy feel a bit tacked on, honestly. Probably just there to grab attention.