I clicked in to mention the same thing.

Seems like it has been AI upscaled or generated.

Love it when software behaves in a non-deterministic manner.

I am glad that I never had to use it, but I have heard many complaints in my circle. The most common one being that it changes one core UI or workflow every fortnight.

Imagine the plight of people who just want to get their work done and go home, only for them to see a tool critical to their work has automatically decided to update and now has a reshuffled UI.

Cannot help but feel that there are too many product managers trying to make their mark on the product.

The developers got hired by a company which is the latter.

As for your data, you can make a decision after reading this: https://blog.omnivore.app/p/details-on-omnivore-shutting-down

Context?

I used to watch Derek Taylor’s videos when I started using Emacs, and it has been a while since I checked his channel.

TIL there exists a thingamajig called Chegg.

Looking at some of the news and discussion surrounding the game, it is clear that there are significant financial transactions involved.

The game is also four years old, well beyond the stage of mere interest checks.

It could be argued that the hack was carried out without a specific goal or knowledge of what data might be gained (as a display of hacking prowess, for instance). However, in this case, it’s clear why this particular game was targeted.

Whether or not the users “deserved” it is a separate discussion; one where I would agree with you. Many of the people involved may have been too trusting or gullible in their investments.

The comment you are responding to had meant that a bad actor can cross check other breached datasets for the emails and usernames leaked from Earth2.

Since people reuse not just passwords but emails too, one may get access to other accounts of the impacted users, potentially even to accounts which have not been breached.

Lot of knee jerk reaction here, to the point of not donating and abandoning the greatest collective effort made on the Internet.

The specific suspended page directly relates to an ongoing lawsuit, where WikiMedia is the defendant.

Also, Streisand effect much? :D

If recent news about Antarctica turning green more rapidly is to go by, one might just find fruits there soon.

“… as of August 2024” is literally front and centre in the image.

I have experienced this myself.

My main machine at home - a M2 Pro MacBook with 32GB RAM - effortlessly runs whatever I throw at it. It completes heavy tasks in reasonable time such as Xcode builds and running local LLMs.

Work issued machine - an Intel MacBook Pro with 16GB RAM - struggles with Firefox and Slack. However, development takes place on a remote server via terminal, so I do not notice anything beyond the input latency.

A secondary machine at home - an HP 15 laptop from 2013 with an A8 APU and 8GB RAM (4GB OOTB) - feels sluggish at times with Linux Mint, but suffices for the occasional task of checking emails and web browsing by family.

A journaling and writing machine - a ThinkPad T43 from 2005 maxed out with 2GB RAM and Pentium M - runs Emacs snappily on FreeBSD.

There are a few older machines with acceptable usability that don’t get taken out much, except for the infrequent bout of vintage gaming

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.

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

That’s a really nice thinking exercise.

Makes me wonder why the aliens didn’t come back to the planet after nuking it. Or have they already arrived?

If they haven’t, why nuke a planet that one doesn’t plan to use?