alberto467
Joined 9 years ago
Joined 9 years ago
I’m not sure how it can handle vicinity of pairs of embeddings with for example some words and the audio where they’re spoken or an image where the text is handled. Building local multimodal search with this would be amazing. I’ve explored this stuff with CLIP and it’s interesting how image (but also audio) embedding carries both the clean “text” content information but also the stylistic and visual/audio tone information, the two can even kind of be linearly separated.
But they’re not and the author is.
If field experts won’t start driving the LLMs themselves, they’ll just be left to validate the slop that guys with basic common knowledge were able to get from LLMs. I do believe it’s a follow or lead type of situation.
And they weren't boycotting it, it's just not a good enough deal to buy from our prospective, even when people are looking to spend good money, there is better stuff to buy from elsewhere.
It would’ve of course helped.
The fact that height and stereotypical beauty standards are not the only things that matter does not change that on average they have a significant positive impact.
A tall person moving around a social setting naturally attracts more eyes, gets more noticed, attracts more attention. She literally “stands out”.
For both male and females I’d say. Then societal complexes pressure some people into the shorter gal taller guy couple stereotype, but the height itself is just a physical thing that brings more attention.
Developers who have a nice job and career, and are making good money, might think of doing open source to “contribute to society” or something like that.
But new developers who are seeing those golden opportunities shut in front of their faces, they feel like they have to desperately fight for the last places on the lifeboat, so I don’t blame them for wanting to farm cv points and game the system of incompetent recruiters who make much more then they will do, instead of spending time and effort doing something nice for society hoping someone will notice (lol they will not, especially if you’re a nobody)