> Isn't bragging the main thing people do on Social Media? start following more interesting people
whisper doesn't seem to support diarization (identifying when the speaker changes), which is needed for subtitle formatting.
c'mon just write a function that takes in text and tells you whether or not it's true, how hard could it be
i think it'd be cool if you could make art and still own a house
> When users join a sub it's because they like the content and tacitly approve of the moderation. I disagree, I see tons of people blaming admins for moderation actions and vice-versa.
clearly the arbitration panel ruled against Lindell because it's part of the deep state. /s
Windows reserves a certain percentage for VRAM for some reason. So I'd recommend Linux. Or find a way to disable the desktop/UI in Windows.
exactly! I gave a heartfelt letter to my shredder the other day and it simply destroyed it. issues like these are why AI alignment research is so critical.
Have you tried writing code on a smartphone?
this seems like it might be useful for arguing on HN
Worldcoin price skyrockets => cryptocurrency speculation returns => GPU shortage prevents further training of LLMs
Hell, what about Skynet?
The model weights were only shared by FB to people who applied for research access. Github repos containing links to the model weights have been taken down by FB.
I like using them for memeing
More VRAM => larger models. IME it is absolutely worth maxing out VRAM for the significant improvement in quality, especially with LLaMA (though even with a 4090, you won't be able to run the largest 65-billion…
they're just microdosing it's ok
A lot of the 'look what I made with AI' images that get shared around also don't include the creator's workflow. There's usually lots of trial-and-error, manual painting/inpainting, multiple models involved etc. and…
ugh, that's so shitty. so many people in this space seem to be absurdly demanding and angry at devs, but one thing I've noticed is that every text AI project discord I've hung out in has this sleazy, obsessive 4chan /g/…
> the "number B" stands for "number of billions" of parameters... trained on? No, it's just the size of the network (i.e. number of learnable parameters). The 13/30/65B models were each trained on ~1.4 trillion tokens…
'accuracy' and 'truth' are legacy 0.1X concepts, move fast and break things
yeah when getting DL up and running on AMD requires using a datacentre card then it's no wonder CUDA is more popular. AMD is enabling ROCm for commercial GPUs now but it's still a pain to get it up and running, because…
if the AI is trained on LW then I think we'll be safe, just use the word 'woke' and it'll lose its shit and get stuck in an endless loop of telling you why it's not actually racist
though unless you've disabled sampling it will be difficult to determine how prompts affect the output, these could just be due to RNG
Yeah I spent a week or two getting excited playing with ChatGPT but then I got bored. I also bought a Quest 2 a while ago and sold it after a few months, so I guess the novelty just wears off quickly for me.
It seems to be about as good as gpt3-davinci. I've had it generate React components and write crappy poetry about arbitrary topics. Though as expected, it's not very good at instructional prompts since it's not tuned…
> Isn't bragging the main thing people do on Social Media? start following more interesting people
whisper doesn't seem to support diarization (identifying when the speaker changes), which is needed for subtitle formatting.
c'mon just write a function that takes in text and tells you whether or not it's true, how hard could it be
i think it'd be cool if you could make art and still own a house
> When users join a sub it's because they like the content and tacitly approve of the moderation. I disagree, I see tons of people blaming admins for moderation actions and vice-versa.
clearly the arbitration panel ruled against Lindell because it's part of the deep state. /s
Windows reserves a certain percentage for VRAM for some reason. So I'd recommend Linux. Or find a way to disable the desktop/UI in Windows.
exactly! I gave a heartfelt letter to my shredder the other day and it simply destroyed it. issues like these are why AI alignment research is so critical.
Have you tried writing code on a smartphone?
this seems like it might be useful for arguing on HN
Worldcoin price skyrockets => cryptocurrency speculation returns => GPU shortage prevents further training of LLMs
Hell, what about Skynet?
The model weights were only shared by FB to people who applied for research access. Github repos containing links to the model weights have been taken down by FB.
I like using them for memeing
More VRAM => larger models. IME it is absolutely worth maxing out VRAM for the significant improvement in quality, especially with LLaMA (though even with a 4090, you won't be able to run the largest 65-billion…
they're just microdosing it's ok
A lot of the 'look what I made with AI' images that get shared around also don't include the creator's workflow. There's usually lots of trial-and-error, manual painting/inpainting, multiple models involved etc. and…
ugh, that's so shitty. so many people in this space seem to be absurdly demanding and angry at devs, but one thing I've noticed is that every text AI project discord I've hung out in has this sleazy, obsessive 4chan /g/…
> the "number B" stands for "number of billions" of parameters... trained on? No, it's just the size of the network (i.e. number of learnable parameters). The 13/30/65B models were each trained on ~1.4 trillion tokens…
'accuracy' and 'truth' are legacy 0.1X concepts, move fast and break things
yeah when getting DL up and running on AMD requires using a datacentre card then it's no wonder CUDA is more popular. AMD is enabling ROCm for commercial GPUs now but it's still a pain to get it up and running, because…
if the AI is trained on LW then I think we'll be safe, just use the word 'woke' and it'll lose its shit and get stuck in an endless loop of telling you why it's not actually racist
though unless you've disabled sampling it will be difficult to determine how prompts affect the output, these could just be due to RNG
Yeah I spent a week or two getting excited playing with ChatGPT but then I got bored. I also bought a Quest 2 a while ago and sold it after a few months, so I guess the novelty just wears off quickly for me.
It seems to be about as good as gpt3-davinci. I've had it generate React components and write crappy poetry about arbitrary topics. Though as expected, it's not very good at instructional prompts since it's not tuned…