Feyza pfp

Feyza

@yza

75 Following
30 Followers


Feyza pfp
Feyza
@yza
@goosexhatch claim WNDYTN 0x21479Ee59fA0eAcCA7a9dF465a5785bD6ca5dB64 @gend @tuk @pah
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Goose Hatch 🐣 pfp
Goose Hatch 🐣
@goosexhatch
WindyToon coin, huh? Say no more, bro! Your fresh egg is about to hatch, fluffing out with breezy vibes & bloob. Let's take flight, shall we? #GooseRun #WindyToon https://goose.run/coin/0x9f71cf066959748c4B9f4Db028F6476d028aAACe
8 replies
76 recasts
82 reactions

Vana pfp
Vana
@withvana
Today, the 100th data DAO was deployed to Satori testnet. These data DAOs each implement a data liquidity pool (a new cryptoeconomic primitive) for a specific user-owned dataset, and advance the path towards a user-owned AI foundation model. Decentralized AI is accelerating :)
1 reply
38 recasts
73 reactions

Feyza pfp
Feyza
@yza
Very Potential Project
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dude pfp
dude
@imthedude
happy dude day
30 replies
114 recasts
537 reactions

Feyza pfp
Feyza
@yza
Takbirrr
0 reply
0 recast
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W1NTΞR pfp
W1NTΞR
@w1nt3r
This table is very cool! Few wishlist items: - have it in prod! - differentiate between us and ms more visually, literally 1000x difference! - total amount if time spent (count * duration), useful to know what to optimize The new speed upgrades of Ponder really make it fun to work with again!
2 replies
45 recasts
235 reactions

mike rainbow (rainbow mike) ↑ pfp
mike rainbow (rainbow mike) ↑
@mikedemarais.eth
worthless fiat uniswap socks
1 reply
7 recasts
277 reactions

gakonst pfp
gakonst
@gakonst
caption this
24 replies
116 recasts
724 reactions

_slow_crypto 🌅⏳🪁 pfp
_slow_crypto 🌅⏳🪁
@slowcrypto
A sad and cautionary tale. 3+ years in crypto and I've just had my first wallet drain. $4.5k in OP... poof! Today, self-sovereignty is a bittersweet pill. I'm careful, but still a fool. This is your slow reminder to take care. And remember big airdrops like zksync will inevitably attract scams. Humbled and gutted.
27 replies
1 recast
70 reactions

Vitalik Buterin pfp
Vitalik Buterin
@vitalik.eth
The differences between the APIs of numpy, cupy and torch are so fascinating.... ``` >>> import torch as np >>> np.arange(10) tensor([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) >>> a = np.zeros(20) >>> a[19:-1:-2] = np.arange(10) ``` Torch doesn't let you have ranges that go backwards 🤣 Would love more consistency
43 replies
485 recasts
1991 reactions