this post was submitted on 15 Oct 2025
1256 points (99.0% liked)
Microblog Memes
10305 readers
3135 users here now
A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.
Created as an evolution of White People Twitter and other tweet-capture subreddits.
RULES:
- Your post must be a screen capture of a microblog-type post that includes the UI of the site it came from, preferably also including the avatar and username of the original poster. Including relevant comments made to the original post is encouraged.
- Your post, included comments, or your title/comment should include some kind of commentary or remark on the subject of the screen capture. Your title must include at least one word relevant to your post.
- You are encouraged to provide a link back to the source of your screen capture in the body of your post.
- Current politics and news are allowed, but discouraged. There MUST be some kind of human commentary/reaction included (either by the original poster or you). Just news articles or headlines will be deleted.
- Doctored posts/images and AI are allowed, but discouraged. You MUST indicate this in your post (even if you didn't originally know). If a post is found to be fabricated or edited in any way and it is not properly labeled, it will be deleted.
- Be nice. Take political debates to the appropriate communities. Take personal disagreements to private messages.
- No advertising, brand promotion, or guerrilla marketing.
Related communities:
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Definitely check again. That was how it worked with gpt-4, handing off to Dall-E.
4o (the 'o' stands for 'omnimodel') and Gemini Flash are native multimodal outputs. Completely just transformers.
It's why those models can do things like complex analysis in the process of generating things.
For example, just today in a group chat where earlier on one model had "turned into" a unicorn and then the other models were pretending to be unicorns to fit in, dozens messages later the only direct prompt to an instance of 4o imagegen was "create a photorealistic picture of the room and everyone in it."
The end result had exactly one actual unicorn and everyone else had horns taped on their head. That kind of situational awareness and nuanced tracking across a 100+ long message context isn't possible in a CNN.
Also, if you really want your mind blown, check out Genie 3 and the several minute state change persistence. That one is really nuts and the kind of thing that should really have everyone seeing it questioning the empirical findings of our universe fundamentally being superimposed probabilities only collapsing based on attention. Eerily similar to what we're just starting to be independently building.
As for the consumption — eating a single hamburger has a larger water/energy impact than a year of using these tools in average use. And even those inference costs are probably going to drop to effective insignificance within the decade. There's been very promising advancements in light based neural networks, and those run at like 1,000-10,000x lower energy costs paramater to parameter.
Thanks I'll give it a new look!