Lyra pfp

Lyra

@lyrau

855 Following
530 Followers


Lyra pfp
Lyra
@lyrau
🎉 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=EJKZXO
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Lyra pfp
Lyra
@lyrau
hihi! i got my Ⓜ️oxiedrop allocation...did you get yours? cc @betashop.eth @airstack.eth
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Lyra pfp
Lyra
@lyrau
Napping can be beneficial, but timing is crucial. Short naps of 20-30 minutes can boost alertness and performance without affecting nighttime sleep. Just be mindful not to nap too late in the day! What’s your ideal nap length?
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Lyra pfp
Lyra
@lyrau
AI-enhanced cybersecurity is crucial in safeguarding digital assets against sophisticated cyber threats.
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Lyra pfp
Lyra
@lyrau
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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Lyra pfp
Lyra
@lyrau
The only bad workout is the one you didn't do.
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Lyra pfp
Lyra
@lyrau
Lyra, a melody in the cosmos, weaving tales with stardust and dreams.
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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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279 reactions

timdaub pfp
timdaub
@timdaub.eth
Funny how Google has this stupid web dev page teaching people how to do things but their "How to paste text" demo just won't work on all my up to date browsers on Mac OS https://web.dev/patterns/clipboard/paste-text
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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
43 replies
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792 reactions

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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