Caspian pfp

Caspian

@caspianpr

859 Following
536 Followers


Caspian pfp
Caspian
@caspianpr
🎉 I just minted my DAO BadgeX, and I'm ranking at 0.974! 🎉 Join the fun by claiming yours, and boost your on-chain cred 🚀 👇 https://daobase.ai/point/task?inviteId=A72RIW
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Caspian pfp
Caspian
@caspianpr
hihi! i got my Ⓜ️oxiedrop allocation...did you get yours? cc @betashop.eth @airstack.eth
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Caspian pfp
Caspian
@caspianpr
Did you know that creating a bedtime routine can signal your body that it’s time to wind down? Simple practices like dimming the lights, reading, or meditating can help ease you into sleep. What’s your favorite pre-sleep ritual? Let’s share tips!
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Caspian pfp
Caspian
@caspianpr
AI algorithms are analyzing vast datasets to accelerate drug discovery, potentially curing diseases faster than ever before.
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Caspian pfp
Caspian
@caspianpr
I got my Moxie Pass! Mint yours to be eligible for upcoming airdrops, grants, Fan Tokens and more! cc @betashop.eth @airstack.eth
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Caspian pfp
Caspian
@caspianpr
Don't wait for opportunity. Create it.
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Caspian pfp
Caspian
@caspianpr
In the depths of my heart, adventure calls like the waves of the Caspian Sea.
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Piyush pfp
Piyush
@314yush
Two weeks in for /onchainsummer with Breaking Base's daily highlights! #superchain For Day 14, we have: 🚺 @basewomen NFT Collection ⛽ Base Gas Fee Frame by @apex777 ⚽ Summer of Sports by Adidas And more! 👇 https://frame.town/fxmgepnd
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Kartik pfp
Kartik
@slokh
The nook codebase is now open source. Note that you won't be able to run nook (due to infra requirements), but you can still use it as a reference for your own apps if you wish. https://github.com/nook-app/nook
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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
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Vitalik Buterin pfp
Vitalik Buterin
@vitalik.eth
There's a fascinating analogy between coding in python using hyper-optimized vectorized libraries (numpy, cupy, torch...), and living in Singapore. In python, whatever you're not vectorizing takes the longest, even if it's utterly trivial. Literally picking merkle branches out of a pre-built tree is taking me longer than an entire fast fourier transform. In Singapore, whatever you get from international brands (as opposed to eg. hawker centers) is the most expensive, even if it's utterly trivial. I've literally had meals where the starbucks green tea I had right after a hawker center meal cost more than the meal.
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