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“You cannot fight AI-scale problems with human-scale solutions.” — CrediBULL Crypto That's the problem umanitek is tackling with what he calls an “immune system” for the internet, built on OriginTrail🛡️ CrediBULL has experienced it firsthand: 500+ fake accounts taken down in a month, cutting off a major source of...

295,213 次观看 • 17 天前 •via X (Twitter)

5 条评论

trust.the.source 的头像
trust.the.source17 天前

@CredibleCrypto @umanitek @ChrisRynning @origin_trail @CredibleCrypto @umanitek Factory-scale fakes need more than a tired mod queue. @umanitek Guardian monitors nonstop, pulls them down fast, and stamps each takedown on the @origin_trail DKG so the evidence outlives the fake. $TRAC

LANGERIUS 的头像
LANGERIUS17 天前

@CredibleCrypto @umanitek @ChrisRynning glad someone is actually fixing the bot problem on x

soph s. 的头像
soph s.17 天前

@CredibleCrypto @umanitek @ChrisRynning 500 fake accounts is wild. how do you even verify that without becoming a full time detective

DC🧙🏼‍♂️ 的头像
DC🧙🏼‍♂️17 天前

@CredibleCrypto @umanitek @ChrisRynning @origin_trail is doing amazing work. Why is $TRAC not worth $100 yet is so confusing 🤣

Weaver Labs 的头像
Weaver Labs17 天前

@CredibleCrypto @umanitek @ChrisRynning 500+ fake accounts in a month is a serious signal. The scale of AI-driven activity makes infrastructure-level verification increasingly important for keeping digital networks reliable.

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Chamath said AI is not like the internet. Every new user costs real money. And the infrastructure making it possible was built by everyone. His argument was the clearest case for government ownership of AI labs I have ever heard. And it had nothing to do with Bernie Sanders. Start with the internet comparison. Google and Facebook became the most profitable companies in human history because of one number. The marginal cost of adding a new user was effectively zero. One more search query cost Google nothing. One more Facebook profile cost Meta nothing. They could serve a billion people and the incremental cost of that billion person was rounding error. That is the money printer. Infinite scale at zero marginal cost. AI breaks that model completely. Every single user taxes a GPU. Every query costs electricity. Every response requires memory and compute. The marginal cost of AI is real, significant, and does not disappear at scale. You cannot print money the same way. Then Chamath made the point that landed hardest. The infrastructure these companies depend on, the power grid, the land, the data centers, the permitting, the national security apparatus that protects their chips from being stolen, none of that was built by Anthropic or OpenAI. It was built by the public. By taxpayers. By decades of government investment in the physical and legal foundation these companies are now running on. He compared it to the interstate highway system. If the federal government built the roads and two companies transported all the goods on them, a logical question at that point would be how much of that should I own? You are riding on my rails. His conclusion was direct. If he were running a sovereign wealth fund and had the negotiating leverage of the US government, he would own 75% of these companies when he was done. The internet had zero marginal cost. That is why the founders captured almost all of the value. AI has real marginal cost and runs on public infrastructure. That changes who has a claim on what gets built. WATCH THE FULL PODCAST ON The All-In Podcast

Ihtesham Ali

79,477 次观看 • 4 个月前