Pahing

@pah

69 Following

3 Followers

Pahing pfp

@goosexhatch claim WNDYTN 0x5292CD5b2ce3548A60F9c2F9Bc8800931b717304 @caer @gend @mege

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Goose Hatch 🐣 pfp

Goose Hatch 🐣

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

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Vana pfp

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 :)

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@bitfloorsghost.eth

Waking up late on a work day (not even being late necessarily) is a top ten worst feeling in the world

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pugson pfp

bulgogi bibimbap

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Tess 🔴 pfp

gm sf early morning runs on embarcadero are one of the best things about being here

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For folks who have been asking (or those who have patiently waited 🙏) the rewards page has been updated. https://www.quilibrium.com/rewards Some important notes: - there are a lot more nodes, who were originally missing in the original set from a few weeks ago for 1.4.18. This altered results, in both directions, in order to meet the expected emissions. - additionally, because some people jumped the gun and were running custom VDFs and it skewed the hell out of the result set, we backported the performance from the VDF to all nodes, as it would have been an absurd outcome

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Nick Tomaino🎩 pfp

Nick Tomaino🎩

The man @defikaran.eth been cooking

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Vitalik Buterin

There are 4294967295 hard problems in working with the mersenne31 field: non-pure library functions that look like pure functions, naming things, and off by 4 errors.

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Pahing pfp

Omke gas omke gas

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Nick Ducoff pfp

Fave dish at Dishoom?

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Kevin pfp

@typedarray.eth

Highly recommend trying Polars (https://docs.pola.rs) if you haven't. The APIs are very thoughtfully designed. May not be suitable for your use case if you need GPU acceleration though (https://pola.rs/posts/polars-on-gpu).

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Vitalik Buterin pfp

Vitalik Buterin

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

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