Getting real tired of everyone calling everything AI these days. Machine learning doesn’t mean AI
On Lemmy if you support ai in any way you get called a genocide supporter because they used ai
Don’t expect then to understand the difference or even be able to rub two braincells together
As someone in the know i agree, but for the “common folk” out there with a very limited tech background, it’s probably the easiest way to get the point what was used across.
No it’s just straight up lazy and leading people to believe ChatGPT is out there solving archeological problems and is actually valuable. Just call it machine learning and go. Most non tech people won’t care, and they won’t keep having that association reinforced.
You’ve got a point there, i did not take into account that this reinforces the perception of LLMs as something close to AGI (which was pushed heavily by Altman and Amodei).
People, please open the article before spouting non-sense. There are some cool images and videos that would make your life a lot easier.
They did not ask chatgpt to convert files like the news a few scrolls up about converting pdf to slideshow.
They are using statistical models to figure out ink from fibre on ancient burned scrolls, from x-ray and CT scan data. Then other techniques to unroll them, so scientists can read and compare with other works.
Pretty much going from this
To this
I wish AI wasnt used so broadly as a term
You mean the “AI powered” labels on my laptop, bookshelf and lawnmower aren’t all talking about the same thing?
“AI. Please turn up the lights” /s
I could have made shit up for a fraction of the cost.
Not all AI works like LLMs. It doesn’t go into much detail, but similar use of AI in the past has been for converting handwritten samples into a more legible form or separating superimposed letters.
Manually filling in “G__d mor_ing” is doable, but I can see how AI can make that process better. It’s technically just guessing, but so is a person in that scenario and the person will have less data to use to guess from.
One cool ML application was examining medieval manuscripts and being able to tell which passages were written by different scribes. That in turn yielded information about how scriptoria were organized, and also showed that some texts (books of hours, religious texts) were assigned to single highly skilled scribes, while other texts (usually more mercantile) were more cheaply done using multiple less-skilled scribes.
There’s also been some interesting work on guessing how to fill in lacunae (gaps in a manuscript due to damage or compounded transcription errors).
It’s technically just guessing, but so is a person in that scenario and the person will have less data to use to guess from.
There are other contextual clues that aid the guessing: in particular, the size of the space where the characters are missing, and sometimes grammatical inflections in surrounding words that imply what kind of word is missing (say, a verb or an adjective). That’s where experienced human experts can often perform well.
That’s extremely disrespectful to the researchers who have built and trained the machine learning model. And the process of extracting useful data from a charred scroll. That’s a tremendous undertaking. AI is not just ChatGPT and LLMs.
Why can’t we discuss the Roman Empire in this thread?? Imagine the cool shit hidden in those scrolls
