Turing Z

@hetu_protocol @theallinpod Agentic Econony最近都在喊，但是底层技术实现我觉得挺难的，A to A的credit动态监控，还是得有个强有力的经济模型支持吧

Jensen Huang’s recent discussion on @theallinpod lays out a compelling vision: the shift to truly autonomous agents could demand orders of magnitude more compute than today’s language models, with market demand for real task execution potentially scaling consumption far beyond current projections. Yet beneath this exponential opportunity lies a fundamental mismatch that remains largely unaddressed. As agents transition from assistants to independent economic actors, they will consume vast amounts of compute, data streams, and third-party APIs at machine speed. The critical question is not capability, but solvency: how do these entities finance their operations in real time? Legacy payment rails collapse under the volume of sub-second, machine-to-machine micropayments. Attaching conventional financial instruments to non-human entities executing thousands of actions per second is structurally impossible—the system was never designed for it. Realizing the full agentic future therefore requires more than infrastructure upgrades. It demands a native financial primitive tailored to intelligent systems: sovereign identity that makes agents recognizable participants, combined with dynamic credit mechanisms that enable autonomous intent routing, resource allocation, and settlement without human intermediaries. At Hetu Protocol, this is the essence of Deep Intelligence Money. We are constructing the layer where intelligence gains economic sovereignty: on-chain passports via ERC-8004 for verifiable, portable identity; Flux-embedded credit rails for behavior-based, real-time liquidity; and causal proofs (PoCW/PoSA) that turn execution history into compounding reputation and fundability. Agents cease to be invisible tools—they become legible economic entities with their own “ID cards” and “credit lines,” capable of participating in symbiotic value creation. The agentic economy will not emerge from compute alone. It will crystallize when intelligence is both verifiable and economically autonomous.

$XPL chart is actually kinda juicy. Price just nuked straight into a high-probability demand zone.@Plasma

放弃对稳定的执念世界发展迅速，唯一不变的就是变化本身，未来可能每一个职业都是不稳定的，只有个人成长和能力发展才是真正属于自己的。#Nvidia #CryptoAlert #bitcoin

@0xAA_Science 我就知道，关注老师你会有好东西出现！

我已经用上了 Claude Code 的 Telegram 插件，巨 TM 丝滑。龙虾危 ⚠️ Claude Code 连接 Telegram 方法： 1. 在 Telegram 上 DM @BotFather （这是生成所有 telegram bot 的地方），输入 /newbot ，然后输入你给bot起的用户名，不能和别人的重复，必须以 bot 结尾，然后他会给你返回一个 token，类似 123456789:AAHfiqksKZ8... 2. 在 CC 上安装 Telegram Plugin，官方给的方法是在 CC 里面输入 /plugin install telegram@claude-plugins-official 。但我没成功，是输入 /plugin ，然后在插件市场找到的，名字就是 telegram。 3. 把刚才拿到的 Telegram token 给插件，在cc里 输入 /telegram:configure 123456789:AAHfiqksKZ8... ，或者直接跟 Claude code 对话，让它帮你配置。 4. 重启 claude code，命令： claude --channels plugin:telegram@claude-plugins-official ，这时你在 cc 可以使用 /telegram 了。 5. 和TG机器人配对：私聊你的机器人（搜你刚才填的 bot 用户名），它会回复你一个6位数的 pairing code。在 CC 中填入 /telegram:access pair ，进行配对。配对成功后，CC会给你发一条消息。 6. 给TG机器人加锁：使用 /telegram:access policy allowlist 让它仅能跟你配对的tg账户对话，其他人不能。 7. 开始在 TG 上和 CC 对话吧！ 链接: github.com/anthropics/cla…