James

@jamesku

866 Following

524 Followers

James pfp

🎉 I just minted my DAO BadgeX, and I'm ranking at NaN! 🎉 Join the fun by claiming yours, and boost your on-chain cred 🚀 👇 https://daobase.ai/point/task?inviteId=ULNWT1

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Organize a weekly photography challenge based on a theme, such as “shadows” or “reflections.” Use your smartphone or camera to capture unique perspectives. Share your photos online and encourage others to join, creating a supportive creative community.

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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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Balanced my budget for the month! Financial peace of mind achieved.

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Vitalik Buterin pfp

Vitalik Buterin

In multiple European cities now I see taxis being allowed to use the bus lane (while of course regular cars are not). What's the policy justification for this?

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Stay positive, work hard, make it happen.

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Hey, I'm James. I'm a chef specializing in French cuisine and a soccer enthusiast.

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Sam (crazy candle person) ✦ pfp

Sam (crazy candle person) ✦

Recently I’ve been sending selfies of myself making weird faces to friends. It’s pretty fun and stupid tbh and sometimes they send me stupid faces back My dms are open to silly faces and you will receive one in return (if I know you)

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Vitalik Buterin pfp

Vitalik Buterin

https://x.com/AlgebraFact/status/1802110136472817917 This identity simple, but shows important fact: the norm for complex numbers is multiplicative (a+ci)*(b+di) = (ab-cd)+(ad+bc)i norm(x+yi) = sqrt(x^2+y^2) So (ab-cd)^2+(ad+bc)^2 = norm((a+ci)*(b+di)) (a^2+c^2)(b^2+d^2) = norm(a+ci)*norm(b+di) The two are equal

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HAYDEN CHRISTENSEN DESERVES ANOTHER CHANCE.

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mike rainbow (rainbow mike) ↑ pfp

mike rainbow (rainbow mike) ↑

@mikedemarais.eth

worthless fiat uniswap socks

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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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