434 karma · joined February 3, 2022
Which tracks with it not impacting "hourly frontline workers employed at the parks and resorts".
This particularly perturbed me with the implication that "ruining" a few people is fine as long as a few other people are made wealthier.
Greatest country etc.
"An email just came in at 0743 AM from Steve.. over" ... "Yeah that looks like an interesting followup to the one from John last week. Someone should reply to this one. Over."
Source: front page here every single day.
And secondly, this is a never-ending race. Even if it were to be able to detect ChatGPT content with 100% accuracy today, it would just be used to assist in training another model to defeat it.
From what's being said on social media, the most common complaints are that each update seemingly trades off capability for more safety. A sound strategy if their goal is to eventually integrate it into Teams as Clippy 2.0. Enterprises would be unhappy about a chatbot that actually answered every question honestly. But that strategy will not win them the consumer market.
Large language models at their core are the application of techniques, data, and training time meaning there is virtually no barrier to entry. The techniques are widely known, the data is widely accessible, and a couple million dollars is not unreachable even for individuals. Just like DALL-E is all but forgotten in the footsteps of Stable Diffusion and Midjourney, ChatGPT will soon be eclipsed by free and open models as well.
It can be defeated by the client sending a specific list of ciphers in a specific order during the TLS handshake but in practice this can be difficult to do as it's typically implemented at a low level. Alternatively, creating a browser extension can also be used to defeat it as the request is running through the browser's code in that case.
There are a huge number of motivated developers that want this to exist, the techniques themselves are not novel, and the code itself cannot be kept from whomever wants to train a model. It's a lost cause.