I thought for sure it was going to be this video: https://www.youtube.com/watch?v=_2VDLYWi5ck&t=50s

He goes into the details of the most upvoted Google Gemini fails and then branches out to how text/image/audio generative AI is being used on Facebook, Instagram to inflate traffic, as well as how you can actually earn some income by farming reactions on twitter now (with the blue checkmark).

There’s a section on how adobe is selling AI generated images with their stock photos, but you can tell this video might be a little rushed because he comes to the conclusion that people are paying $80 for one of these images, when in reality the $80 adobe plan gives you 40 images (so about $2 per stock image). That or he knows this statement is misleading, but makes it anyway because it will drive his own reactions up (oh the irony). https://web.archive.org/web/20240701131247/https://stock.adobe.com/plans

Link to timestamp in video:
https://youtu.be/UShsgCOzER4&t=894s

With adobe he touches on their updated ToS that state how any images uploaded to Adobe can be used to train their own generative image model.

The Netflix section talks about the “What Jennifer Did” documentary which used AI generated images and passed them off as real (or at least didn’t mention that the images were fake).

Spotify: How audio generative AI is being used to create music and is being published on there now as well as their failed

Edit: as well as their failed “projects/features” (car accessory, exclusive podcasts, etc.)

Multiple times throughout the video he pushes the theory that most of these companies are also using AI generated content to drive engagement on their own site (or to earn income without needing to pay any artists).

He definitely focuses only on the worst ways that generative AI can be used without touching on any realistic takes from the other side (just the extreme takes from the other side with statements like “AI music will replace the soulless crappy music that’s being released now… and it will be better and have more soul!”).

Still worth a watch, he brings up a ton of valid points about the market being oversaturated with AI generated products.

That GitHub “archive here” link leads to a page where it hasn’t been archived… (or was the archive removed??).

They expanded the initial recall. It affects models from 2017 to 2022. If you read the linked article I previously provided, then you missed the key point that vehicles were still bursting into flames even after the recall.

Expanded recall: https://gmauthority.com/blog/2021/09/gm-asking-chevy-bolt-ev-owners-to-park-50-feet-away-from-other-vehicles/

GM stopped replacing the batteries of the newer models and instead offered a software solution that would monitor the batteries for any issues and allow the vehicle to charge beyond the 80% limit that they had set because of these issues. https://electrek.co/2023/06/14/bolt-battery-recall-diagnostics/

But it’s worth noting that this software update has failed to prevent some fires, so the problem isn’t really “fixed” even with this: https://electrek.co/2021/07/08/chevy-bolt-ev-catches-on-fire-after-receiving-both-of-gm-software-fixes/

I would avoid used Bolts, especially because of all the issues those have had with going up in flames.

Hopefully they’ve fixed those issues in the newest models…

https://www.cnbc.com/2021/07/14/gm-warns-some-bolt-ev-owners-dont-park-them-inside-or-charge-them-unattended-overnight.html

I agree with others on here. Looks like a European Starling.

Here’s a similar looking one that was identified in North America:

https://www.inaturalist.org/observations/223616886

I would recommend a tool like iNaturalist for trying to identify birds (and plants, insects, other animals, droppings, tracks, etc).

That definitely plays a part, but if a player doesn’t have a computer that’s up to spec, they’ll have a bad time no matter what.

Besides updates where overall performance has tanked for a bit, if you generally have issues playing this game then that’s more likely a hardware issue.

This game is not optimized and requires a beefy CPU (Performs best using an AMD with 3D v-cache ), a fast SSD (HDD will tank your FPS with all the streaming of assets that needs to happen), and a decent GPU.

The game has been running well since they got rid of the dupers, even with Xenothreat running… now if they would just fix the UI so I can see who I’m shooting at when there are targets/friendlies all over…

Some additional info the article doesn’t address or skims over:

The accounts were suspended for 3 months.

They only suspended accounts that were overly abusing the system. Players that duped on accident, or a small number of times were not punished except for the removal of some of their in-game currency and maybe a ship or two that they bought with the earnings they made from duping.

This is the first time that Star Citizen players have had a wave of suspensions like this for an exploit.

This is most likely because of how this exploit affected the servers. In Star Citizen, abandoned ships stick around forever on a particular instance, so other players would need to hijack/tow/destroy/salvage them to get rid of them. The players abusing this exploit would duplicate ships with cargo (that could be sold) as fast as they possibly could, leaving more ships behind than what the servers can normally handle well.

This also happened around the time of a free fly event where anyone could try out the game for a bit without having to pay. So the game wasn’t performing as well as it could have been during this event. Although, tbh, this game usually struggles during free flight events anyway.

Most of that just looks like carpet shading, where rubbing the carpet one way looks darker compared to rubbing it the other way. http://carpetswalltowall.com/shading-footprints-pooling/

However, the brown stain on the far right definitely stands out.

Found it: https://www.youtube.com/watch?v=45CvTHmt_dI

This is why I prefer it when people specify what kind of “AI” they’re talking about rather than just saying “AI” as a buzzword. I definitely agree with Derbauer here… this is painful.

Great video, he breaks everything down really well…

I might have to start linking to this video rather than trying explain what AI is vs what AI isn’t to those who like to make general statements like “AI is a scam!”.

I think I was thrown off by the “trackpad” example that was given above. That would have been a bit more complex than just a simple button press (which is still doable in low level firmware) but I was curious how they would pull it off.

I looked up what “solid state buttons” are and it makes a lot more sense now. This isn’t like some trackpad you can swipe along the endge, they’re still buttons in separate locations, just not in the mechanical clicking sense that we’re used to.

You could also use something like GrayJay, I’ve been using it for a while now and haven’t had any issues with it.

despite the fact that hosting images is orders of magnitude less bandwith and storage requiring than videos.

In general, yes, when comparing images/video of the same resolution. But if I compare an 8k image to a low quality video with low FPS, I can easily get a few minutes worth of video compared to that one picture.

As you said, it definitely costs money to keep these services running. What’s also important is how well they are able to compress the video/images into a smaller size without losing out on too much quality.

Additionally, with the way ML models have made their way into frame generation (such as DLSS) I wouldn’t be surprised if we start seeing a new compressed format that removes frames from a video (if they haven’t started doing it already).

My one concern is, what do I do if the phone freezes up?
With physical buttons there is a hardware bypass so I can force the phone to reset.
With a “trackpad” I’m not as confident it will register those touches correctly when the OS has seized up.
I’m assuming they’ll have something figured out at the hardware level, but I’m curious what that will be.

What @delirious_owl@discuss.online seemed to be implying is that direct messages on Mastodon should be considered “public” rather than “private”.

I’m assuming that’s along the same lines of how Lemmy users generally think that their upvotes/downvotes are private when in reality, if you know how to look for them, you can see them.

Ah, I see. So it’s the same mistake that Lemmy users make when thinking that Upvotes/Downvotes aren’t public.

It sounds like DMs on Mastodon are public, but are commonly mistaken to be private then?

They’re called DMs not PMs

? Did you mean that the other way around? And if you did… forgive me, I don’t really use Mastodon. I was never much of a twitter fan. I don’t really like how all of my likes are public (although I guess I have had to get used to that with Lemmy).

Hmmm it was even able to pull in private DMs.

Maybe private DMs on Mastadon aren’t as private as everyone thinks… that, or the open nature of Activity Pub is leaking them somehow?

Edit - From the article:

Even more shocking is the revelation that somehow, even private DMs from Mastodon were mirrored on their public site and searchable. How this is even possible is beyond me, as DM’s are ostensibly only between two parties, and the message itself was sent from two hackers.town users.

From what @delirious_owl@discuss.online mentioned below, it sounds like this shouldn’t be very shocking at all.