Tuesday, 6th December 2022
The primary problem is that while the answers which ChatGPT produces have a high rate of being incorrect, they typically look like they might be good and the answers are very easy to produce. There are also many people trying out ChatGPT to create answers, without the expertise or willingness to verify that the answer is correct prior to posting. Because such answers are so easy to produce, a large number of people are posting a lot of answers. The volume of these answers (thousands) and the fact that the answers often require a detailed read by someone with at least some subject matter expertise in order to determine that the answer is actually bad has effectively swamped our volunteer-based quality curation infrastructure.
Understanding a Protocol. Andrew’s latest notes on how ActivityPub and Mastodon work under the hood, based on his extensive development work building out Takahē.
I Taught ChatGPT to Invent a Language (via) Dylan Black talks ChatGPT through the process of inventing a new language, with its own grammar. Really fun example of what happens when someone with a deep understanding of both the capabilities of language models and some other field (in this case linguistics) can achieve with an extended prompting session.