World News
A community for discussing events around the World
Rules:
-
Rule 1: posts have the following requirements:
- Post news articles only
- Video links are NOT articles and will be removed.
- Title must match the article headline
- Not United States Internal News
- Recent (Past 30 Days)
- Screenshots/links to other social media sites (Twitter/X/Facebook/Youtube/reddit, etc.) are explicitly forbidden, as are link shorteners.
-
Rule 2: Do not copy the entire article into your post. The key points in 1-2 paragraphs is allowed (even encouraged!), but large segments of articles posted in the body will result in the post being removed. If you have to stop and think "Is this fair use?", it probably isn't. Archive links, especially the ones created on link submission, are absolutely allowed but those that avoid paywalls are not.
-
Rule 3: Opinions articles, or Articles based on misinformation/propaganda may be removed. Sources that have a Low or Very Low factual reporting rating or MBFC Credibility Rating may be removed.
-
Rule 4: Posts or comments that are homophobic, transphobic, racist, sexist, anti-religious, or ableist will be removed. “Ironic” prejudice is just prejudiced.
-
Posts and comments must abide by the lemmy.world terms of service UPDATED AS OF 10/19
-
Rule 5: Keep it civil. It's OK to say the subject of an article is behaving like a (pejorative, pejorative). It's NOT OK to say another USER is (pejorative). Strong language is fine, just not directed at other members. Engage in good-faith and with respect! This includes accusing another user of being a bot or paid actor. Trolling is uncivil and is grounds for removal and/or a community ban.
Similarly, if you see posts along these lines, do not engage. Report them, block them, and live a happier life than they do. We see too many slapfights that boil down to "Mom! He's bugging me!" and "I'm not touching you!" Going forward, slapfights will result in removed comments and temp bans to cool off.
-
Rule 6: Memes, spam, other low effort posting, reposts, misinformation, advocating violence, off-topic, trolling, offensive, regarding the moderators or meta in content may be removed at any time.
-
Rule 7: We didn't USED to need a rule about how many posts one could make in a day, then someone posted NINETEEN articles in a single day. Not comments, FULL ARTICLES. If you're posting more than say, 10 or so, consider going outside and touching grass. We reserve the right to limit over-posting so a single user does not dominate the front page.
We ask that the users report any comment or post that violate the rules, to use critical thinking when reading, posting or commenting. Users that post off-topic spam, advocate violence, have multiple comments or posts removed, weaponize reports or violate the code of conduct will be banned.
All posts and comments will be reviewed on a case-by-case basis. This means that some content that violates the rules may be allowed, while other content that does not violate the rules may be removed. The moderators retain the right to remove any content and ban users.
Lemmy World Partners
News [email protected]
Politics [email protected]
World Politics [email protected]
Recommendations
For Firefox users, there is media bias / propaganda / fact check plugin.
https://addons.mozilla.org/en-US/firefox/addon/media-bias-fact-check/
- Consider including the article’s mediabiasfactcheck.com/ link
view the rest of the comments
It still can’t count the Rs in strawberry, I’m not worried.
Is this some meme?
No. It literally cannot count the number of R letters in strawberry. It says 2, there are 3. ChatGPT had this problem, but it seems it is fixed. However if you say “are you sure?” It says 2 again.
Ask ChatGPT to make an image of a cat without a tail. Impossible. Odd, I know, but one of those weird AI issues
Because there aren't enough pictures of tail-less cats out there to train on.
It's literally impossible for it to give you a cat with no tail because it can't find enough to copy and ends up regurgitating cats with tails.
Same for a glass of water spilling over, it can't show you an overfilled glass of water because there aren't enough pictures available for it to copy.
This is why telling a chatbot to generate a picture for you will never be a real replacement for an artist who can draw what you ask them to.
Not really it's supposed to understand what a tail is, what a cat is, and which part of the cat is the tail. That's how the "brain" behind AI works
It searches the internet for cats without tails and then generates an image from a summary of what it finds, which contains more cats with tails than without.
That's how this Machine Learning progam works
It doesn't search the internet for cats, it is pre-trained on a large set of labelled images and learns how to predict images from labels. The fact that there are lots of cats (most of which have tails) and not many examples of things "with no tail" is pretty much why it doesn't work, though.
And where did it happen to find all those pictures of cats?
It's not the "where" specifically I'm correcting, it's the "when." The model is trained, then the query is run against the trained model. The query doesn't involve any kind of internet search.
And I care about "how" it works and "what" data it uses because I don't have to walk on eggshells to preserve the sanctity of an autocomplete software
You need to curb your pathetic ego and really think hard about how feeding the open internet to an ML program with a LLM slapped onto it is actually any more useful than the sum of its parts.
Dawg you're unhinged
That isn't at all how something like a diffusion based model works actually.
So what training data does it use?
They found data to train it that isn't just the open internet?
Regardless of training data, it isn't matching to anything it's found and squigglying shit up or whatever was implied. Diffusion models are trained to iteratively convert noise into an image based on text and the current iteration's features. This is why they take multiple runs and also they do that thing where the image generation sort of transforms over multiple steps from a decreasingly undifferentiated soup of shape and color. My point was that they aren't doing some search across the web, either externally or via internal storage of scraped training data, to "match" your prompt to something. They are iterating from a start of static noise through multiple passes to a "finished" image, where each pass's transformation of the image components is a complex and dynamic probabilistic function built from, but not directly mapping to in any way we'd consider it, the training data.
Oh ok so training data doesn't matter?
It can generate any requested image without ever being trained?
Or does data not matter when it makes your agument invalid?
Tell me how you moving the bar proves that AI is more intelligent than the sum of its parts?
Ah, you seem to be engaging in bad faith. Oh, well, hopefully those reading at least now between understanding what these models are doing and can engage in more informed and coherent discussion on the subject. Good luck or whatever to you!
Oh, that’s another good test. It definitely failed.
There are lots of Manx photos though.
Manx images: https://duckduckgo.com/?q=manx&iax=images&ia=images
so.... with all the supposed reasoning stuff they can do, and supposed "extrapolation of knowledge" they cannot figure out that a tail is part of a cat, and which part it is.
The "reasoning" models and the image generation models are not the same technology and shouldn't be compared against the same baseline.
The "reasoning" you are seeing is it finding human conversations online, and summerizing them
I'm not seeing any reasoning, that was the point of my comment. That's why I said "supposed"