Vitalik Buterin pfp
Vitalik Buterin
@vitalik.eth
New way to encode a profile picture dropped: https://x.com/Ethan_smith_20/status/1801493585155526675 320 bits is basically a hash. Small enough to go on chain for every user.
53 replies
944 recasts
3478 reactions

cryptocellaris.eth  ๐ŸŽฉ pfp
cryptocellaris.eth ๐ŸŽฉ
@cryptocellaris
weird thing is that the 256 token row looks worse than the 32 token row
2 replies
4 recasts
31 reactions

horsefacts pfp
horsefacts
@horsefacts.eth
2^320 pfp collection
2 replies
100 recasts
415 reactions

Thomas pfp
Thomas
@aviationdoctor.eth
Very cool concept for when high-fidelity is unimportant (which it usually is for images that serve illustrative purposes). Also, Iโ€™d love to see the results of this process being repeated, with 32 tokens sampled from each nth generation, in a game of progressively more hallucinogenic game of Chinese whispers
1 reply
21 recasts
204 reactions

Polymarket pfp
Polymarket
@polymarket
keep shining the light ๐Ÿซก
0 reply
3 recasts
30 reactions

m_j_r pfp
m_j_r
@m-j-r.eth
so the question I obviously have is... how do this compare w/ segmentation research, and supposing video data can be compressed, what can be learned about latent representation of pose/motion? https://arxiv.org/abs/2406.07550
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5 reactions

0xqeew  pfp
0xqeew
@0xqeew
Imagine someone saying it's impossible to shrink a picture down to an incredibly small size (like 320 bits) no matter how powerful a computer is. They might scoff and say, "Making things tiny forever isn't possible! Computers aren't magic!" The idea here is that with enough cleverness, even complex things like images can be squeezed into a very small amount of space.
0 reply
3 recasts
20 reactions

daivd ๐ŸŽฉ๐Ÿ‘ฝ โ†‘ pfp
daivd ๐ŸŽฉ๐Ÿ‘ฝ โ†‘
@qt
I wanna see this glitch maxxed and only then will I like it. The highest fidelity worst performing encoded images are the best ones to churn through this machine
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14 reactions

jenny.degen ๐ŸŽฉ๐ŸŸฃ pfp
jenny.degen ๐ŸŽฉ๐ŸŸฃ
@cryptojenny
I've been wanting to get to the bottom of this
1 reply
0 recast
12 reactions

oliver pfp
oliver
@oliverk120.eth
Wow, I wonder if this is how memory works in the brain where we just store a hash and every time we remember, our brain re-generates those memories from the hash..
0 reply
0 recast
3 reactions

CasterBites pfp
CasterBites
@casterbites
Your cast is making waves! It's been curated by @tuangg and showcased on https://casterbites.com/bites. Keep inspiring the Farcaster community! Remember, any Farcaster user can send and vote for the best casts of the day
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0 recast
3 reactions

st4rgard3n.eth ๐ŸŽฉ pfp
st4rgard3n.eth ๐ŸŽฉ
@st4rgard3n
*Code coming soon* ugh guys I need your free, dope, world leading image tokenizer technology right nowwww
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2 reactions

Tim pfp
Tim
@cryptim.eth
Thereโ€™s no way youโ€™ll reply to my low effort reply.
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2 reactions

TonyW ๐ŸŽฉ pfp
TonyW ๐ŸŽฉ
@tonyw
๐ŸŽ for you on jam.so
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0 recast
2 reactions

Reae pfp
Reae
@starwei
a new way
0 reply
0 recast
0 reaction

ryosuke pfp
ryosuke
@helloryosuke.eth
320fp
0 reply
0 recast
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YQ pfp
YQ
@ottie
Social apps on chain?
0 reply
0 recast
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Tberg pfp
Tberg
@tberg
I studied this is basically how our memory works.
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Ivan Liew  pfp
Ivan Liew
@bewatertrading
nice
0 reply
0 recast
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Asedy21 pfp
Asedy21
@asedy21
pumt eth pls
0 reply
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0 reaction