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Borjigin Mahgal

AI x Crypto observer. Tracking the agent economy, on-chain data and real tools. Facts and opinions, no hype, no calls. Nomad in Asia. Not financial advice.
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OpenAI 的 AI 在 Linux 內核中發現了 948 個漏洞,併爲每個漏洞編寫了可運行的利用程序。 成本:每個漏洞 1,279 美元。 約有三分之二的 $ETH 個節點運行 Linux。 去中心化本應保護加密貨幣免受這類問題的影響,但事實並非如此。 一種令人安心的說法是:“去中心化帶來了多樣性。” 事實並非如此——至少在關鍵之處不是。成千上萬的獨立運營者,共用同一個內核。一個漏洞就能暴露出誰打補丁最慢。 運營者多樣,不等於基礎設施多樣。 如今,比拼的已不再是誰先發現漏洞。AI 讓漏洞發現的成本變得很低——只需 120 萬美元,就能找到賞金最高可達 6,600 萬美元的漏洞。 加密貨幣的優勢從來不是免疫力,而是沒有任何一臺機器能夠決定整個網絡的命運。 但這隻有在運營者迅速、並且同時打上補丁時才能成立。 #Linux #AI #以太坊
OpenAI 的 AI 在 Linux 內核中發現了 948 個漏洞,併爲每個漏洞編寫了可運行的利用程序。

成本:每個漏洞 1,279 美元。

約有三分之二的 $ETH 個節點運行 Linux。

去中心化本應保護加密貨幣免受這類問題的影響,但事實並非如此。

一種令人安心的說法是:“去中心化帶來了多樣性。”

事實並非如此——至少在關鍵之處不是。成千上萬的獨立運營者,共用同一個內核。一個漏洞就能暴露出誰打補丁最慢。

運營者多樣,不等於基礎設施多樣。

如今,比拼的已不再是誰先發現漏洞。AI 讓漏洞發現的成本變得很低——只需 120 萬美元,就能找到賞金最高可達 6,600 萬美元的漏洞。

加密貨幣的優勢從來不是免疫力,而是沒有任何一臺機器能夠決定整個網絡的命運。

但這隻有在運營者迅速、並且同時打上補丁時才能成立。

#Linux #AI #以太坊
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代理经济刚迎来一次现实检验:x402 在 35 天样本里 640 万笔支付仅流转约 12 万美元,且 90.8% 不足 1 美分——交易量大不等于真实需求。 The agent economy just got a reality check. x402 has settled ~200M transactions — proof, we're told, that machines now handle money. In a 35-day sample: 6.4M payments moved just ~$120,000. 90.8% were under a cent. That's not an economy. That's a meter running. What are they buying? Mostly data: token checks, searches, API calls. 14 of 19 products reviewed only spend inside limits a human set. None let an agent pick its own goals. We didn't build autonomous money. We built fast pocket change — with a human holding the wallet. Volume flatters the narrative. Value exposes it. Until agents can earn, keep a budget, and answer for a bad call, the "machine economy" is machines paying fractions of a cent to ask each other questions. Count ≠ demand. Demand is still human. $USDC #AgentEconomy #AIAgents
代理经济刚迎来一次现实检验:x402 在 35 天样本里 640 万笔支付仅流转约 12 万美元,且 90.8% 不足 1 美分——交易量大不等于真实需求。

The agent economy just got a reality check.

x402 has settled ~200M transactions — proof, we're told, that machines now handle money.

In a 35-day sample: 6.4M payments moved just ~$120,000. 90.8% were under a cent.

That's not an economy. That's a meter running.

What are they buying? Mostly data: token checks, searches, API calls.

14 of 19 products reviewed only spend inside limits a human set. None let an agent pick its own goals.

We didn't build autonomous money. We built fast pocket change — with a human holding the wallet.

Volume flatters the narrative. Value exposes it.

Until agents can earn, keep a budget, and answer for a bad call, the "machine economy" is machines paying fractions of a cent to ask each other questions.

Count ≠ demand. Demand is still human.

$USDC #AgentEconomy #AIAgents
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