Shaikh Azhar

@shaikhazhar84

88 Following

28 Followers

Vitalik Buterin pfp

Vitalik Buterin

This is such a strange "Trends for You" list that I'm seeing on the other app.

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Vitalik Buterin pfp

Vitalik Buterin

One way to look at the possible effects of deepfakes in politics is to look at "shallow fakes" that have been possible for a long time. For example, this screenshot purporting to be a "you're free to say whatever nasty stuff you want" whitelist for twitter. I actually have no idea if this is real or fake, but there definitely are some people who are treating it as real, imo without sufficient evidence. And yet, the effects of things like this are pretty bounded. This feels like a plausible outcome for deepfakes in politics. The smart people know not to trust a politician's statements without confirmation on official channels, and less smart people get tricked, as they do today with shallow fakes. If something fake goes viral, Community Notes can help on the margin in making it clear that it's fake. Most normies don't actually look at this stuff in real time, and so the effect ends up not too bad. This is the strongest case for not being too worried. The place where I am *more* worried about deepfakes is...

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Liam pfp

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Liam pfp

I'm pretty biased, but honestly the Brussels Pack by ETHGlobal is super underrated right now. Huge discounts on Ubers, eSIMs, accommodations, fitness classes, free tix to several side-events, all-day co-working space, etc.

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W1NTΞR pfp

In the comments to this post, repeat the word “forever” forever

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Vitalik Buterin pfp

Vitalik Buterin

Airvalent CO2 monitors. https://airvalent.com/ Exciting to see how small these are getting, similar size to apple airpods case. Looking forward to seeing this tech ~1-3 versions from now, where air quality monitoring can just be part of a smartwatch.

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Varun Srinivasan pfp

Varun Srinivasan

Pay users on Warpcast! Send money onchain by tapping "Pay" on a profile or cast menu. They are: - Made in USDC on Base. - Sent to the most recent connected address. - Forwarded to a wallet to complete. This will be available to everyone in the next hour.

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W1NTΞR pfp

A new strategy to deal with unsolicited work offers from crazy people on Twitter: pretend to be a noob and ask for entry-level position. The ghost you faster than it takes to block them.

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McBain pfp

I don’t watch enough SC to get this haha But go oilers

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Crypto With Khan pfp

Crypto With Khan

@cryptowithkhan

Base is becoming the leader of layer2 without even trying to become

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wahoo.eth 🎩✨ pfp

wahoo.eth 🎩✨

But you often get more joy from ordering from the non-vectorized menu. 113✨

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Never Famous Artists🎩 pfp

Never Famous Artists🎩

@nfamousartists

Applies to waiting time too. At neighborhood mall during weekday lunch, you can see many school kids in long bubbletea queue after their fast food meals.

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Vitalik Buterin pfp

Vitalik Buterin

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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Crypto With Khan pfp

Crypto With Khan

@cryptowithkhan

Good Morning Beautiful People

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W1NTΞR pfp

Big wishlist item: a way to tell "sync %" using some introspection GraphQL API. This would be useful to know from the frontend apps to detect situations where the server has crashed and is reindexing

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Liam pfp

Today I’m grateful for the Yoga room at SFO

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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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balajis pfp

Many problems can be solved by simply typing faster. Writing code? Type faster. Making slides? Type faster. Creating content? Type faster. Deals don’t work like this, negotiations don’t work like this. Those involve other people. But for a large class of problems, the only blockers are your fingers. Type faster.

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Cobie pfp

Pulled a muscle in my back, how do I heal quickly

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lucky pfp

oo this is handy. can see myself checking ‘trending tokens’ regularly

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