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Vitalik Buterin

@vitalik.eth

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Vitalik Buterin
@vitalik.eth
Smart people in 2024: obviously the 00s-era AI misalignment story ("we tell AGI to end suffering, it kills everyone, no more suffering") is too naive, we have a smarter version 2025: coder tells AGI to remove bugs, it deletes all code, no more bugs https://x.com/alex_xiong_/status/1942442882402771178
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Vitalik Buterin
@vitalik.eth
> 3. Permissive made much more sense when we actually distributed software. When it's all about services, it doesn't matter, does it? AGPL requires derivative works to publish source code even if they only make the work available as a SaaS
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Vitalik Buterin
@vitalik.eth
For most people, morality isn't primarily about what ideological positions you hold. It's about how you treat people (and animals) as you go about your life.
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Vitalik Buterin
@vitalik.eth
Why I used to prefer permissive licenses and now favor copyleft https://vitalik.eth.limo/general/2025/07/07/copyleft.html
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Vitalik Buterin
@vitalik.eth
I think it's an ok price to pay for keeping crypto global and not over-concentrated in one physical geography that would inevitably capture it. Probably >100x more favorable tradeoff ratio than mining.
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Vitalik Buterin
@vitalik.eth
Do you believe you had a better moral character 20 years ago?
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Vitalik Buterin
@vitalik.eth
> Crypto is built to be used not understood πŸ‘ I hope that's not the conclusion people got :D Crypto is first and foremost about user empowerment, not user happiness. Empowerment benefits a lot from understanding. Though it's also okay if a user does not understand at first, as long as the resources are there if/when it comes time for them to need to.
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Vitalik Buterin
@vitalik.eth
Alternatively, having the right opinion on some question might be a matter of intelligence, which you might say is orthogonal to (ie. a totally separate dimension from) good moral character. Each individual question also has its own idiosyncratic bias, and so some of the time you get an anti-correlation
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Vitalik Buterin
@vitalik.eth
imo people who hunt for subsistence score much higher on animal rights than people who eat factory farmed food Would *you* rather: (i) live 50% of your natural life, then suddenly drop dead (ii) live a 50%-long life in a tiny cage where you get force fed lots of fat all day, then drop dead in a more horrific way
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Vitalik Buterin
@vitalik.eth
the implication is that there is an easily accessible bad reason and a much less accessible good reason to support the thing
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Vitalik Buterin
@vitalik.eth
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Vitalik Buterin
@vitalik.eth
What's a controversial issue on which the average person who disagrees with you has better moral character than the average person who agrees with you?
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Vitalik Buterin
@vitalik.eth
Food is delicious, some of the best in Europe
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Vitalik Buterin
@vitalik.eth
It's on the edge of Tiergarten?
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Vitalik Buterin
@vitalik.eth
Ich bin ein bear linner
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Vitalik Buterin
@vitalik.eth
What type of zu berliner are you?
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Vitalik Buterin
@vitalik.eth
"Fuk bitcoins. Das ist unser Krieg."
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Vitalik Buterin
@vitalik.eth
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Lefteris Karapetsas
@lefteris.eth
It's fascinating how much the right framing can change things I've been advocating for opensource, local-first, privacy-preserving, decentralized apps for years. But once I called them aligned apps, it instantly resonated. Words really do matter. Everyone wants to know more about them now.
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Vitalik Buterin
@vitalik.eth
A fun math aside, on the idea of splitting a large zk proving workload between multiple provers. Suppose you have N provers, and you have a proving workload that you split into N parts (so, one part per prover). You require provers to pre-register, but registration is open-access. Suppose you have a constant fault rate (eg. 1/5 of registered provers fail). Provers expect to complete in one round (eg. 3s). If one prover fails, other provers have to come in and re-prove that load. How many rounds does it take for the entire workload to get proven? Answer: log*(N) (yes, that's the iterated-log function) Why: In the first round, you go from N unproven workloads to N/5 unproven workloads In the second round, each remaining workload gets assigned 5 provers, so per-workload failure rate becomes 1 in 5^5. So you go to N / 5 / 5^5 unproven workloads In the third round, each remaining workload gets assigned ~5^5 provers, so failure rate is 1 in 5^(5^5). So you go to N / 5 / 5^5 / 5^(5^5) unproven workloads
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