There are a lot of knee jerk reactions in the comments. I hope few of those commenters have read the article or, at the least, your comment.
There are a lot of knee jerk reactions in the comments. I hope few of those commenters have read the article or, at the least, your comment.
Ah! That really does make things easy for migrating emails. Unfortunately I don’t have my own domain yet.
How are you approaching de-googling? I am unable to think of a graceful solution to migrate my emails and photos while preserving their metadata.
Seems like Apple’s convoluted guidelines around external payment systems is working out for them.
E: added link to said guidelines.
True. Hopefully, the community helps maintain/extend the longevity of the phone.
Thanks for the list. While there are some that I read about previously, a few of the other patterns are something that I only experienced.
It is nice to know that these have been identified and labelled by others in the industry. :D
… without customers realising their watches offers nothing more than the competition, and the primary reason their watches were successful was the lack of such competition within their walled garden.
Good bot.
Interesting. May I know where you are viewing this post?
This is how it looks like on Voyager:
and on Lemmy web:
For those in the unknown, this comment is in reference to an article on The Daily WTF, which ThePrimeagen “reacted” to.
As I have frequently found myself not knowing a quip/quote/reference from popular (or worse, obscure) media, I am doing my bit to add context to this rather plain comment disguised as an in-joke.
For people who derive pleasure from posting such references, please annotate your reference with some context for others to take part in/appreciate the media you liked enough to remember and make a reference of.
I do not agree with @FiniteBanjo@lemmy.today’s take. LLMs as these are used today, at the very least, reduces the number of steps required to consume any previously documented information. So these are solving at least one problem, especially with today’s Internet where one has to navigate a cruft of irrelevant paragraphs and annoying pop ups to reach the actual nugget of information.
Having said that, since you have shared an anecdote, I would like to share a counter(?) anecdote.
Ever since our workplace allowed the use of LLM-based chatbots, I have never seen those actually help debug any undocumented error or non-traditional environments/configurations. It has always hallucinated incorrectly while I used it to debug such errors.
In fact, I am now so sceptical about the responses, that I just avoid these chatbots entirely, and debug errors using the “old school” way involving traditional search engines.
Similarly, while using it to learn new programming languages or technologies, I always got incorrect responses to indirect questions. I learn that it has incorrectly hallucinated only after verifying the response through implementation. This makes the entire purpose futile.
I do try out the latest launches and improvements as I know the responses will eventually become better. Most recently, I tried out GPT-4o when it got announced. But I still don’t find them useful for the mentioned purposes.