[montenegrohugo]

GPT-3 has been used in a ton of commercially important applications.

To name a few:

- GitHub CoPilot (transformative imo)

- Markcopy.ai, jenni.ai, etc.... Tons of content generation and SEO tools startups

- AI Dungeon and such

- Plenty of chatbots

- It's super useful for all kinds of classification tasks too (as are all transformer models)

[CodeGlitch]

Thanks for the response, I'm not familiar with Markcopy.ai, jenni.ai, but the others are "toys" if we're being honest (although as I said - very cool toys). You wouldn't want to use GPT-3 to recommend drugs for a condition you feed it...would you? As far as I understand, this is the kind of problem Cyc is trying to solve with it's domain-specific rules.

edit: Cyc can also tell you why it gave the response it did - something that deep nets cannot do. This is important in many fields, otherwise you cannot trust any response it produces.

[naresh_xai]

Current set of tools in explainable AI do allow deep neural nets to tell why they gave the response that they did to a certain extent.

Contact me if you want to see it applied to text based DL models, time series based DL models or Image based DL models.