So who’s making good use of ChatGPT and the like? And who’s already come across problems with how it’s being used? There’s been a lot of talk about potential benefits and pitfalls, but what has been your experience so far if you’ve been using it? And are there specific impacts that the operator community should be thinking about?
And ICYMI: There was an interesting article from Ted Chiang in the New Yorker about it last month…
Indeed, the article is very good, and it explains the limit of LLMs in a way which is easy to understand for computer professionals.
Apart from that, I use ChatGPT with satisfaction to:
Here is what ChatGPT itself thinks it can do to help the operator community 
I’ve also used it a bit for fun and saving time. And for writing bedtime stories for small kids.
Another good article. Not necessarily about ChatGPT, but about A.I. in general: There Is No A.I. | The New Yorker
And note that there will be a BoF about AI and the work of network operators at the RIPE Meeting in Rotterdam.
It’s clear that there’s a growing interest in utilizing these models for various purposes. Some of us have already begun using AI models for tasks like content creation, customer support, and data analysis, enjoying the benefits of efficiency and automation. However, it’s also important to acknowledge the potential challenges and pitfalls that come with this technology. Issues such as misinformation, bias, privacy concerns, and the need for human oversight have been raised as potential areas of concern.
Not to be too needy, but maybe this topic is to wide…and could function better if Impact in specific context is highlighted as focus. No?
A Huge impact i ever seen
Whenever I see articles about ChatGPT and AI in general I keep remembering a quote from one of IBM’s presentation in the 70’s:
“A computer can never be held accountable, therefore a computer must never make a management decision.”
Excellent quote!
I think AI worked ‘best’ so far in the context of extractivist and inflated quick’n’dirty content production. It worked well with some types of translations, but lowest quality was when up to date, creative, critical and higher level tasks and decisions were to be made… I am really curious if anyone is tracking different fields of application and how success increases with each new generation/update.
I just wanted to leave this very interesting website to provide some food for thought:
This technology is being developed faster than we can understand how to best use it.
