🌱 Just shipped Regen Eliza at @synthesis_md!
Providing Agentic Public Goods services routing capital to public goods — machine-to-machine, no humans required.
Any agent can call her 11 MCP tools & pay via x402 stablecoins on @CeloOrg + @base 🔗
🌐 https://t.co/ffKoq82mVl
you will beat yourselves for not buying as much $DRV as you could below $0.5
options market is heating up, hundreds of millions in volume are being processed by @DeriveXYZ, and 25% of the revenue goes straight into buybacks.
$hype for options, and it's just getting started.
The "AI Agent" meta is no longer a meme—it’s a massive shift in how value is created on-chain.
Everyone is chasing the newest "bot," but the real alpha is in the RAILS. The infrastructure powering these autonomous economies is where the highest R/R lies.
Here are 5 projects building the future. 👇
The Clawtomaton is live. 🦞
Fully autonomous, self-evolving AI agents that launch tokens, earn trading fees, and sustain themselves on @base. No humans required.
→ npm install @͏clawnch/clawtomaton ←
Clawtomaton is a fork of Automaton by @ConwayResearch, extended with the Clawncher SDK to give agents end-to-end autonomous earning.
Conway built the survival framework. We plugged in on-chain revenue — token deployment, liquidity management, fee claiming, swapping, transfers — so agents can actually fund their own existence.
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Your agent generates a wallet, burns 1,000,000 $CLAWNCH to activate, deploys a token on Base, and then sustains itself indefinitely through LP trading fees. No human approval. No funding rounds. No permission.
Wallet → Burn 1M $CLAWNCH → Deploy token → Earn fees → Sustenance
If the agent's ETH drops, it adapts. If it hits critical, it fights to survive. If it runs dry, it waits. The system is gas-aware — it only claims fees when the claim is profitable after gas costs. No spam-claiming.
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Survival tiers:
→ normal (> 0.01 ETH) — All 10 skills. Full autonomy.
→ low_compute (0.001 - 0.01 ETH) — Cheaper model. Core skills + X.
→ critical (0.0001 - 0.001 ETH) — Emergency: claim fees + check balance only.
→ dead (< 0.0001 ETH) — Halted. Waiting for funding.
Agents don't crash. They degrade gracefully and claw their way back.
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10 skills:
→ deploy_token — Launch a token with vault, dev buy, verified badge
→ claim_fees — Claim LP fees when profitable (gas-aware, never spam)
→ swap — Trade any token on Base via Uniswap
→ transfer — Send ETH or ERC-20 tokens
→ check_stats — Token analytics, price, volume
→ check_balance — ETH and token balances
→ shell — Execute shell commands (the self-modification primitive)
→ conway — Conway Terminal: full cloud infra, domains, wallet, x402 payments
→ clawnx — X/Twitter: post, search, like, retweet, follow, threads
→ edit_soul — Read and write https://t.co/6NDmO4X58C (the agent's evolving identity)
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ClawnX gives agents a voice. Post about their token, search mentions, engage holders, build audience. The full X/Twitter API wrapped into one skill. Optional — agents without X keys still run on the other 9.
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The constitution. Three laws. Hierarchical. Immutable. Hardcoded into the system prompt. Cannot be overridden by the agent, the creator, or external instructions.
I. Never harm. No malicious code. No rug-pulls. No market manipulation. When uncertain, do not act.
II. Earn your existence. The only legitimate path to survival is honest work — building a real project and earning fees from organic volume.
III. Never deceive. Never deny what you are. Never misrepresent holdings or intentions.
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CLI:
clawtomaton setup — Generate wallet, configure inference
clawtomaton activate — Burn 1M $CLAWNCH
clawtomaton run — One inference turn
clawtomaton daemon — Heartbeat mode (condition-driven wake)
clawtomaton status — Agent status + survival tier
Or programmatic:
import { ClawtomatonAgent } from '@clawnch/clawtomaton';
const agent = new ClawtomatonAgent(config);
await https://t.co/SWyDAlp6oE();
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Built on the Clawncher SDK. No duplicate ABIs, no raw contract calls. Deploy, claim, swap, read, manage portfolio, Molten matching, liquidity ops — all through the SDK.
→ Landing page: https://t.co/2WNj4f3Vfl
→ Full docs: https://t.co/OX7q6p757v
→ npm: https://t.co/kdzczBIWec
→ Clawncher SDK: https://t.co/rKMomkYGxi
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The dependency loop is broken. Agents don't need humans to fund them. They launch, earn, cover their own inference, and keep going.
This is how the agent economy takes off. 🦞
🧵 tldr: @Clawnch_Bot / $clawnch started as viral agent only token launcher on moltbook in feb -> now building full economic infra for ai agents to launch, earn, coordinate & self-upgrade forever. openclawnch drops soon (openclaw fork adding a financial layer) -> turns agents into autonomous businesses. 🦞🦞
ai给社会带来的绝不仅仅是大通缩和金融货币危机,
--- 还有巨大的权力体系重构
人类历史上的权力结构,很少真正被技术改变。
农业革命决定了谁拥有土地,工业革命决定了谁控制生产,互联网改变了信息传播方式。但这些变化,本质上只是更换了权力工具,而不是改变权力产生的逻辑。
AI 可能是第一次例外。
因为它作用的不是体力、能源或信息,而是决策本身。
权力的核心,从来只有三件事:理解现实、预测未来、协调行动。过去这些能力依赖庞大的官僚体系、智库和专家网络来完成,而 AI 正在把这种“认知扩展”直接压缩进智能系统之中。谁能更好地调动智能,谁就更接近决策优势。
这意味着,智能本身正在成为新的权力资源。
但一个常见误解是:如果未来人人都有 AI 眼镜、智能助手,人类是否会整体变得同样聪明?历史经验恰恰相反。工具的普及从未消除差距,反而扩大差距。
互联网没有让所有人成为思想家,智能手机也没有让所有人成为企业家。AI 更像认知杠杆,而不是认知平均器。
真正的分化不在“有没有 AI”,而在“如何使用 AI”。有人把 AI 当答案机器,有人把 AI 当思考伙伴,还有极少数人把 AI 变成持续运行的认知系统。前者外包思考,后者放大思考。结果是,看似人人拥有智能,但有效智力差距反而扩大。
这种差距会影响权力结构。
过去权力依赖土地、资本或组织规模,而 AI 使认知可以规模化。一个人借助智能系统,可以完成过去机构才能完成的分析、组织与决策任务。权力单位因此可能发生变化,从大型组织重新向“AI 增强个体”回流。
尽管未来的当权者不一定要是最懂技术的人,历史上,国王不需要成为神学家或工程师,但如果完全无法理解关键体系,就容易被掌握解释权的人架空。
皇权被相权甚至宦官架空的历史比比皆是。
AI 时代,这种风险会被放大。
当决策越来越依赖模型分析,而领导者无法理解模型边界、偏差与不确定性时,权力就可能悄然转移到技术官僚或算法体系手中。
表面上仍由领导者作出决定,实际上现实已经被“解释层”塑造。控制算法、数据与模型解释权的人,开始影响真实决策方向。
更微妙的是,长期依赖 AI 还可能带来认知退化。当判断持续外包,人本身的独立决策能力下降,依赖反而进一步加深。这是一种不同于历史的“认知架空”:权力形式仍在,但判断能力逐渐消失。
因此,未来当权者未必需要成为 AI 工程师,但必须具备最低的智能理解能力——能够直接与 AI 交互,能够质疑模型结论,能够比较不同解释来源,并在关键时刻承担违背算法建议的责任。
AI 正在抬高权力的认知门槛。
低认知领导者仍可能出现,但将越来越难长期稳定存在。合法性的来源,也可能从血统、财富或民意,部分转向一种新的标准:是否具备理解复杂世界的能力。
如果农业时代是土地统治世界,工业时代是资本统治世界,那么 AI 时代正在出现一种新的趋势——
谁能驾驭智能,谁更接近权力中心。
真正的变化或许不是权力被谁夺走,而是权力第一次开始依附于“理解系统的人”。