peterlk

There's a lot of negativity in the comments here, and many of them have merit. However, the thing that is interesting to me about OpenAI, AI21, Cohere, and all the other LLM providers is that they are broadly useful, and often helpful. Perhaps they don't live up to the marketing hype, but they are still interesting.

For example, I used to have a biology blog, and I've been thinking of starting it back up again. I've been using OpenAI and Mantium (full disclosure, I work at Mantium) to generate the bones of a blog post so that I have something to start with. Coming up with ideas for my biology blog posts was almost 50% of the work.

If you're interested in judging the quality for yourself, I have a biology blog post generator here: https://f0c1c1e0-f6b6-46bc-81a1-eff096222913-i.share.mantium...

and a music blog post generator here: https://8aaf220e-4aff-4d4e-ae61-90f08011c9ac-i.share.mantium...

(they were both "created today" because I moved them from our staging environment)

minimaxir
AI text content generation is indeed a legit industry that's still in its nascent stages. It's why I myself have spent a lot of time working with it, and working on tools for fully custom text generation models (https://github.com/minimaxir/aitextgen).

However, there are tradeoffs currently. In the case of GPT-3, it's cost and risk of brushing against the Content Guidelines.

There's also the surprisingly underdiscussed risk of copyright of generated content. OpenAI won't enforce their own copyright, but it's possible for GPT-3 to output existing content verbatim which is a massive legal liability. (it's half the reason I'm researching custom models fully trained with copyright-safe content)