I don't think you realize just how widely used some of those other models are... For instance, in gaming, DLSS is supported with every Nvidia GPU starting with the 20 series and up.

DLSS uses multiple machine learning models for things like predicting object/pixel movement, generating new frames between what you would normally be able to achieve, and then upscaling that image. Which is also why you want to download the latest drivers since those models are better trained for the more recently released games.

I wouldn't call that a "small fraction" by any means.

But, maybe your referring to the amount of focus that the news has on LLMs like ChatGPT?

Looks like it was trying to make her look like a turkey 🦃.

Ah, then I'll refer you to Poe's Law:

https://en.wikipedia.org/wiki/Poe's_law

What about DLSS? What about machine learning for identifying new planets? ML Models for discovering new medicines? Object avoidance for drones? Transcribing and translating different languages?

AI is way bigger than just some Large Language Models.

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).

Can he swing
From a web?
No he can't
he's a pig...
https://www.youtube.com/watch?v=BARjPuUN36Y&t=20s

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

$20 for these 7 games:

• Nickelodeon All-Star Brawl 2
• Pennys Big Breakaway
• The Elder Scrolls III: Morrowind Game of the Year Edition
• Arzette: The Jewel of Faramore
• Dishonored
• Hyperbolica
• Blazing Chrome

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.

Epoch fail!!!

(Relevant xkcd):

https://xkcd.com/376/

Better/additional info here: https://www.gamesradar.com/games/third-person-shooter/helldivers-2-community-manager-seemingly-fired-after-encouraging-negative-reviews-over-now-canceled-psn-mandate-i-knew-i-was-taking-a-risk-with-what-i-said/

Spitz:

"Generally it's not a good idea to tell people to refund and leave negative reviews when you're a community manager. TIL," Spitz said. "I appreciate all the support and I appreciate even more that everyone can play the game again without restrictions. I knew I was taking a risk with what I said about refunding and changing reviews. I stand by it. It was my job to represent the community, that's what I did."

They added: "I wanted to work for Arrowhead because they're my all-time favorite studio. I got that chance. I'm thankful for that opportunity. I'd happily continue working for them if I had the choice, but that isn't up to me or anyone else in here. I can walk away happy and I don't want anyone causing trouble on my behalf, especially not to people I still have a lot of care and respect for."

This definitely sounds like Sony wanted them out and Arrowhead wanted them to stay.

It's worth pointing out that once Pokémon Go players found out about OSM, we saw a massive increase in new users as well as those contributing to OSM so that the maps would better reflect the areas they played in.

https://www.researchgate.net/publication/334378297_How_an_augmented_reality_game_Pokemon_GO_affected_volunteer_contributions_to_OpenStreetMap

Unfortunately there are always a few that will try to game any system. In this case they're essentially vandalizing OSM for their own selfish reasons.