> There’s more details here than I can explain today, but you can use the QR code to find a detailed article, including the documentation we use for the skills.
Why not just provide a clickable link given this is an article on the web?
I think there is some confusion with the term 'public' here.
The Graphql server itself is still publicly exposed to the internet, but the ability to query is not. Queries have to be whitelisted ahead of time (persisted queries).
At this point, I'd be surprised if ChatGPT has not yet given someone a response which caused them to make a mistake that resulted in a death.
We found out about the lawyers citing ChatGPT because they were called out by a judge. We find out about Google Maps errors when someone drives off a broken bridge.
For other LLMs we see mistakes bold enough that everyone can recognise them — the headlines about Google's LLM suggesting eating rocks and putting glue on your pizza (at least it said "non-toxic glue").
All it takes is some subtle mistake. The strength and the weakness of the best LLMs is their domain knowledge is part way between a normal person and a domain expert — good enough to receive trust, not enough to deserve it.
