Hackworth
@Hackworth@lemmy.world
- Comment on Meta’s AI Profiles Are Already Polluting Instagram and Facebook With Slop 3 weeks ago:
- Comment on Meta’s AI Profiles Are Already Polluting Instagram and Facebook With Slop 3 weeks ago:
- Comment on Elon Musk Says He Owns Everyone's Twitter Account in Bizarre Alex Jones Court Filing 1 month ago:
- Comment on WILD 2 months ago:
I was just being a smartass, but I appreciate your commitment to clear communication.
- Comment on WILD 2 months ago:
No, it’s “biologically.”
- Comment on Not likely to be AI-generated or Deepfake 2 months ago:
I can tell from some of the pixels and from seeing quite a few shops in my time.
- Comment on Reddit is profitable for the first time ever, with nearly 100 million daily users 2 months ago:
usersbots - Comment on Google creating an AI agent to use your PC on your behalf, says report | Same PR nightmare as Windows Recall 2 months ago:
Yeah, but they encourage confining it to a virtual machine with limited access.
- Comment on Kamala Harris Dropped a New Custom 'Fortnite' Map 2 months ago:
Huh. Grandpa Simpson was right. It did happen to me too.
- Comment on Linus Torvalds reckons AI is ‘90% marketing and 10% reality’ 2 months ago:
Logic and Path-finding?
- Comment on Feds Say You Don’t Have a Right to Check Out Retro Video Games Like Library Books 2 months ago:
Shithole country.
- Comment on Pee posting? 2 months ago:
I instantly heard it. DEEK
- Comment on Claude has taken control of my computer... 2 months ago:
Yeah, using image recognition on a screenshot of the desktop and directing a mouse around the screen with coordinates is definitely an intermediate implementation. Open Interpreter, Shell-GPT, LLM-Shell, and DemandGen make a little more sense to me for anything that can currently done from a CLI, but I’ve never actually tested em.
- Comment on Claude has taken control of my computer... 2 months ago:
I was watching users test this out, and am generally impressed. At one point, Claude tried to open Firefox, but it was not responding. So it killed the process from the console and restarted. A small thing, but not something I would have expected it to overcome this early. It’s clearly not ready for prime time (by their repeated warnings), but I’m happy to see these capabilities finally making it to a foundation model’s API. It’ll be interesting to see how much remains of GUIs (or high level programming languages for that matter) if/when AI can reliably translate common language to hardware behavior.
- Comment on Nvidia blocks access to video card driver updates for users from Russia and Belarus. 2 months ago:
Can I blame Trump on 9/11 or something?
- Comment on X's idiocy is doing wonders for Bluesky. 2 months ago:
Aren’t they in Macy’s now? Wait, is Macy’s still a thing?
- Comment on 'Garbage in, garbage out': AI fails to debunk disinformation, study finds. 3 months ago:
In its latest audit of 10 leading chatbots, compiled in September, NewsGuard found that AI will repeat misinformation 18% of the time
- Comment on Baidu CEO warns AI is just an inevitable bubble — 99% of AI companies are at risk of failing when the bubble bursts 3 months ago:
To be clear, it’ll be 10-30 years before AI displaces all human jobs.
- Comment on Square! 4 months ago:
I don’t really know, but I think it’s mostly to do with pentagons being under-represented in the world in general. That and the specific way that a pentagon breaks symmetry. But it’s not completely impossible to get em to make one. After a lot of futzing around, o1 wrote this prompt, which seems to work 50% of the time:
An illustration of a regular pentagon shape: a flat, two-dimensional geometric figure with five equal straight sides and five equal angles, drawn with black lines on a white background, centered in the image.
- Comment on Square! 4 months ago:
Fun Fact: It is very difficult to get any of the image generators to make a pentagon.
- Comment on Rose Finch 4 months ago:
I think it was Perplexity. Moved to using Flux since that cuddly monstrosity.
- Comment on Rose Finch 4 months ago:
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
Calling what attention transformers do memorization is wildly inaccurate.
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
It honestly blows my mind that people look at a neutral network that’s even capable of recreating short works it was trained on without having access to that text during generation… and choose to focus on IP law.
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
The issue is that next to the transformed output, the not-transformed input is being in use in a commercial product.
Are you only talking about the word repetition glitch?
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
How do you imagine those works are used?
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
It’s called learning, and I wish people did more of it.
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
This is an inaccurate understanding of what’s going on. Under the hood is a neutral network with weights and biases, not a database of copyrighted work. That neutral network was trained on a HEAVILY filtered training set (as mentioned above, 45 terabytes was reduced to 570 GB for GPT3). Getting it to bug out and generate full sections of training data from its neutral network is a fun parlor trick, but you’re not going to use it to pirate a book. People do that the old fashioned way by just adding type:pdf to their search.
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
You’ve made a lot of confident assertions without supporting them. Just like an LLM! :)
- Comment on The Irony of 'You Wouldn't Download a Car' Making a Comeback in AI Debates 4 months ago:
Just taking GPT 3 as an example, its training set was 45 terabytes, yes. But that set was filtered and processed down to about 570 GB. GPT 3 was only actually trained on that 570 GB. The model itself is about 700 GB. Much of the generalized intelligence of an LLM comes from abstraction to other contexts.
