My guess is most airlines have clauses in their terms and conditions that allow them to change the aircraft type without prior notice. Pretty sure their lawyers would argue that this is considered a management right for operational reasons.

But I’m no expert 🙃

I know perplexity.ai, but don’t think it’s “open source privacy respecting”

This is so freaking cute, it triggers my cuteness aggression! (👁 ͜ʖ👁)

I can’t stop watching this 🤣

I love this play of big things in small places. Awesome work.

And for the creation of this thought water was also involved; assuming this was indeed a showerthougt

Big beards can alter facial recognition and obscure expressions, making someone look more unpredictable or wild to observers.

Thanks, for pointing that out, this just made my day 🤣

I also don’t have anything to add other than that I really appreciate comments who pay respects to details of other comments. I don’t know, just makes me happy, so thank you for that!

Oh, and fuck this fucking asshole named Putin, may he die a painful and slow death.

This comment was so wholesome it made my day 🥰

Cute 🥰

I guess it could cause a severe seizure or even catastrophic neural failure. The synchronous firing would disrupt the balance of excitatory and inhibitory signals in the brain, potentially damaging neurons and leading to a loss of normal brain function.

The result might include a loss of consciousness, significant cognitive impairments, or even death, depending on the extent and duration of the event.

But then again, I have no idea, since I ain’t an expert in that field and in fact am actually just a dog who figured out how to use a computer 🙃

I’m no expert but I wonder if where there’s limited space for traditional sewage treatment plants, wastewater is just transported through a network of sewer lines to centralized treatment facilities? 🤔

This would allow the treatment plants to be located further inland.

Alternaively I guess they could employ on-site treatment technologies that can be incorporated into the building’s infrastructure 🤔

But like I said I ain’t no expert and just speculating 😅

It’s so cute. I want to snuggle with it!

It’s called Canvas

There is also a community for it :)

I guess it’s hard to measure the power of AI anyway but I would say a strong no: it doesn’t equate to the power of AI doubling every 3.5 months 😅

I don’t think so. If you look at Mastodon it could actually keep most of its users and still seems to be growing.

Of course I don’t know what the future holds for us.

An academic book about emojis that can’t include emojis? That’s ironic and frustrating. Makes me sad that we live in a world where copyright hinders education and discussion 🙈

Here is a Tl;Dr for the ones who don’t want to click the link:

Oxford professor Jieun Kiaer published an academic book called “Emoji Speak: Communications and Behaviours on Social Media,” exploring how emojis are used across different cultures and ages, and considering their future in digital communication.

Although the book discusses emojis in detail, Kiaer was unable to include actual images of many emojis due to copyright concerns, despite the fact that these symbols are ubiquitous in social media spaces, which are almost entirely copyright-free.

Instead of using actual emojis, Kiaer hired an artist, Loli Kim, to draw similar representations, illustrating the barriers that exist between the online and offline worlds concerning copyright.

The inability to use emojis in the book, even in an academic context, highlights the complications and absurdity of modern copyright laws, which some argue could have constituted a fair use situation.

Some in the AI industry have proposed concepts similar to Moore’s Law to describe the rapid growth of AI capabilities.

Although there is no universally accepted law or principle akin to Moore’s Law for AI, people often refer to trends that describe the doubling of model sizes or capabilities over a specific time frame.

For instance, OpenAI has previously described a trend where the amount of computing power used to train the largest AI models has been doubling roughly every 3.5 months since 2012.

Source

I need a remind me bot now…