I thought for sure it was going to be this video: https://www.youtube.com/watch?v=_2VDLYWi5ck&t=50s
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
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That GitHub “archive here” link leads to a page where it hasn’t been archived… (or was the archive removed??).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…
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.
Hiding “/s” in a spoiler tag is a bit more satire friendly.
In some cases seeing it upfront gives away the fact that you’re not serious a little too quickly and doesn’t have the same “got ya” effect that some people want.
It’s not necessary by any means, but it can be fun to add that extra layer sometimes.
As far as what happens specifically on Lemmy, it looks something like this:
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.
Hi! Yeah, probably a timing thing. I used a spoiler tag yesterday and a user mentioned that it didn’t work for them. Turns out it’s a known issue for Boost users, so that was fresh on my mind.
Some Lemmy applications don’t display it well (like Boost).
It works fine through a browser or Voyager.
Edit:typo
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.
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?
I would counter that there are many good use cases that go beyond the scope of what was mentioned in the video (his concerns are absolutely legitimate).
For example:
Nvidia’s DLSS for gamers. This provides a decent boost to FPS while maintaining a good quality picture. They use multiple models such as motion prediction, interpreting between the frames what the image should look like, and upscaling. These models are (most likely) trained on the video games themselves which is why you want to get the latest driver updates because they include updates to those models. And, yes, the upscaling and interpolation models here are generative models as they are filling in frames with new pictures with details that aren’t there from the source, and then enlarging the picture and filling in details in a way that traditional means of upscaling cannot.
Brainstorming/writer’s block:
For generative text models, I think these have to be used carefully, and treated as if they’re interns that have a knowledge in a very broad range of subjects. They’re great for brainstorming ideas and for writer’s block, but their output needs to be verified for accuracy and the output shouldn’t be trusted or used directly in most cases.
Entertainment:
They’re also excellent for entertainment purposes, for example, check out this GLaDOS project:
https://old.reddit.com/r/LocalLLaMA/comments/1csnexs/local_glados_now_running_on_windows_11_rtx_2060/
Which is combining a generative text (LLM) model with a generative audio (text to speech) model as well as a few other models.
Green screen tools:
We could use the sodium vapor process to create training material for a model that can quickly and accurately handle processing green screens for video production:
https://www.youtube.com/watch?v=UQuIVsNzqDk
Creating avatars for user accounts on websites.
Creating interesting QR codes that actually work:
https://civitai.com/models/111006/qr-code-monster
So, in the end, I think that there are some incredible uses for generative AI that go beyond just “creating garbage fast”, that don’t cause problems in the way that this video is describing (and those problems he describes are definitely valid).