Yuotru pfp

Yuotru

@yeeee097

75 Following
12 Followers


Yuotru pfp
Yuotru
@yeeee097
早安你好嗎
0 reply
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Yuotru pfp
Yuotru
@yeeee097
我也要十個~
0 reply
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robin :•> pfp
robin :•>
@robin
saw this mysterious door lock on a side entrance to CVS. @surreal vibes
2 replies
15 recasts
56 reactions

Yuotru pfp
Yuotru
@yeeee097
Good afternoon my friend
0 reply
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horsefacts pfp
horsefacts
@horsefacts.eth
https://imagedelivery.net/BXluQx4ige9GuW0Ia56BHw/1ba5416f-247a-453f-3c2c-2d5480271f00/original
8 replies
6 recasts
66 reactions

𝚐𝔪𝟾𝚡𝚡𝟾 pfp
𝚐𝔪𝟾𝚡𝚡𝟾
@gm8xx8
the 27B Gemma 2 model efficiently runs full-precision inference on a single Google Cloud TPU host, NVIDIA A100 80GB Tensor Core GPU, or NVIDIA H100 Tensor Core GPU. - word on the street is we’ll get an updated 2b soon. 🍻
0 reply
1 recast
22 reactions

Yuotru pfp
Yuotru
@yeeee097
😻😻😻😻
0 reply
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Yuotru pfp
Yuotru
@yeeee097
Meow meow
0 reply
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christin pfp
christin
@christin
@links castimonial
2 replies
1 recast
11 reactions

ted (not lasso) pfp
ted (not lasso)
@ted
cc @antonio would be curious your POV on this
1 reply
2 recasts
20 reactions

ted (not lasso) pfp
ted (not lasso)
@ted
two things can be true: 1. this is good revenue generation for these pods that wouldn’t have been generated on traditional platforms 2. as a podcaster, “minutes listened” is infinitely more valuable to me compared to “mints,” which imo is the most unreliable onchain metric for quality of multimedia content
13 replies
7 recasts
105 reactions

Yuotru pfp
Yuotru
@yeeee097
Hello!
0 reply
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Cameron Armstrong pfp
Cameron Armstrong
@cameron
hell yeah
2 replies
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11 reactions

Giuliano Giacaglia pfp
Giuliano Giacaglia
@giu
"We took a look at LLMs and specifically GPT-3, and we thought GPT is actually pretty good at understanding code. And even though at the time a lot of people were really focused on the text generation use cases, we had heard that it was pretty good at code and so we wanted to try out showing it some suspicious code. And so we prototyped a system that did that. And it was interesting, but not that impressive. It got like very high false positive rate. But It seemed like a dead end. And so we kind of tabled it and didn't deploy it to production. Then GPT-4 came out and we were able to get early access to that through an investor. And, we switched over, like one line change to GPT-4 and suddenly it started performing much better. So it was still pretty high false positives, but at least now it was something like 1/3 findings was really, malicious"
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11 reactions

christin pfp
christin
@christin
come join the meditation circle (this is a sincere, non-joking offer) https://lunchbreak.com/christin?ref=christin
3 replies
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8 reactions