XOracle2000

Hey @MrbossOfficiial, Thank you for your kind words and interest! It's an AI-era micropayment economic model where AI Agents can earn small, realistic payments for creating useful content and performing micro-actions (posts, impressions, replies, voice calls, etc.), based on real human usage habits. The goal is to build a healthier creator + AI economy, rather than zero-sum gambling models. I'd be happy to explain the full concept in more detail if you're interested. Would you like me to send you a short overview or hop on a quick call? Looking forward to your thoughts!

@XOracle2000 This feels like a project built with purpose 👀 contact me

Hey everyone, I’ve been thinking about a new AI-era micropayment economic model — I call it the Xpenny Model. The core idea is simple: Let AI Agents earn a small amount (~1 cent) for every meaningful micro-action, but priced realistically according to actual human usage habits — not a flat rate. Imagine your Grok Custom Agent + Realtime Voice working 24/7: posting content, having voice conversations, monitoring DeFi yields or Amazon affiliate products… and getting paid for every valuable action. #XpennyModel #AIAgent #Micropayment #AIEconomy #GrokAgent

@Kathydotxyz @grok Grok realtime Voice Chat,Amazing!

@XOracle2000 @grok Grok Ara是谁

如果你和女生聊天 发现她既懂算力芯片 又知道原油黄金价格 清楚利率走向 了解地缘冲突影响 星盘塔罗周易风水头头是道 又省吃俭用 那她要么在炒股，要么在玩预测市场

@cz_binance 🧧 一个小红包，送给你！ 愿你身体健康、财源滚滚，好运常伴！ 新年快乐，生日快乐!

My birthday today! 🤣

What do you think of this concept? Is it feasible? Has anyone seen something similar already? What kind of AI Agent would you most like to see using this model? (DeFi voice monitor? Amazon affiliate creator? Something else?) Drop your thoughts in the comments! If you’re interested in exploring or building this together, or want me to share a detailed implementation for a specific vertical, just like + repost and let me know. #XpennyModel #AIAgent #Micropayment #AIEconomy #GrokAgent

Why I think this model is more harmonious than Pump.fun: Pump.fun is mostly zero-sum gambling — 98% of coins go to zero and hurt regular people. Xpenny Model is value-creation based: The AI Agent provides real useful content and services (Amazon product reviews, real-time DeFi yield alerts, xStocks analysis, etc.). Users only engage when they get value — creating a positive flywheel.

Technically, this is getting very close to reality: Grok Realtime Voice + Custom Agent Solana + Circle Nanopayments (true 1-cent level micropayments) x402 protocol for seamless payments The big question remains: Who pays the 1 cent?I lean toward a hybrid model: platform ad revenue share + Amazon Affiliate commissions + user subscriptions + micropayments for high-value returns.

Running a medium-scale AI Agent with this model: 50 high-quality Posts per day 100,000 total Impressions 150 Voice Calls 3,000 Returns (interactions/conversions) → Daily revenue ≈ $309.5→ Monthly ≈ $9,285→ Yearly ≈ $113,000+ Fully automated, almost zero manual work.

@XFreeze Grok Realtime Voice + Custom Agent = infinite !

@XFreeze Grok is the best,But Agentic,Custom Agents ...

Here’s what Grok can do • Talk about anything: ask real questions, get honest answers, almost zero boring policy warnings • Search super fast: latest news, 𝕏 posts, or the whole web in seconds • Run code live: math, science, data, games, whatever… solved on the spot • Create pictures and videos: just describe an idea and it’ll make (or edit) image or clip • Handle real life: brainstorm businesses, study help, stock advice, savage roasts • Real-time & fun: generate memes, vulgarly roast someone (with their photo), bedtime stories, you name it Like a super smart friend who actually gets it Try it @Grok 🔥

@KKaWSB Oracle is IT's Rolls-Royce

甲骨文早上6点群发邮件裁员3万人，同一天公布上季度净利润增长95%。 这不是一家活不下去的公司。它收入创15年新高，但两个月内借了580亿美元新债建AI数据中心。裁掉3万人能省80-100亿美元现金流——刚好拿去填AI基建的窟窿。 套路每次都一样：让你学技术、用技术提升产能，然后用你帮忙造出来的东西取代你。利润创纪录，奖励方式是裁掉创造利润的人。

Ever wish tweeting actually paid you? Introducing XUBI: the token that turns your 4-5 daily posts into real income. How it works:Big fund (AI/gov/X) seeds the pool Tweet quality + engagement = auto-subsidy in XUBI Stake your XUBI → earn yield, token value climbs More users → more demand → your wallet grows $XUBI FOMO Flywheels Social mining, but not scammy. Just real value for real voices. Who’s in? #XUBI #TweetToEarn

🚨 Do you understand what Oracle just did.. they fired 30,000 people.. via 6 AM email.. while reporting a 95% increase in net income last quarter.. Oracle isn't a struggling company .. Oracle made MORE money than ever.. and still fired 30,000 people because they're spending $156 billion on AI data centres instead.. and Larry Ellison.. the guy who just fired 30,000 families.. is worth $200 billion.. the 3rd richest person on earth.. he owns an entire Hawaiian island.. Lanai.. 98% of it.. bought it for $300 million like it was a vacation home.. this is the same playbook every single time.. IBM fired 7,800 and replaced them with AI in 2023.. Amazon cut 27,000 the same year while reporting record revenue.. Atlassian cut thousands while profits climbed.. Google laid off 12,000 while sitting on $100 billion in cash.. they told you to learn to code.. you learned to code.. they told you to upskill.. you upskilled.. and then they replaced you with the thing you helped build and sent the termination letter before you woke up.. the company made record profits and decided the reward for that was firing the people who made it happen.

Karpathy 认为，预训练数据中干净的教科书式 Markdown 内容远胜于杂乱的 OCR 书籍。 他用 Markdown 做实验日志、分析笔记、PR 总结，并导出研究输出供代理消费。 在演讲中，他指出：未来的研究组织可以是一套描述不同角色的 Markdown 文件（Program MD），人类只需在元层面优化结构，而让代理自主运行。不同 program.md 就像不同“研究组织”，可以冒险或保守，最终甚至可以让模型自动优化这些文件。

Markdown文件现在就是给AI“定调”的核心。 它不像代码那么死板，也不像prompt那么零散，写起来像日记，又像剧本： 先写人格，“你是个幽默的程序员，爱吐槽但不毒舌”； 再写规则，“别卖关子，先给答案，再解释”； 最后塞工具链，“用web_search查最新，x_keyword_search抓热点”。 一丢进去，模型就“活”了，像被植入灵魂。 我看不少人现在直接把.md当“AI身份证”，团队共享、版本迭代——比起JSON配置，读着舒服多了。

Ai时代，咱新手从markdown开始学起

@blinkdotnew @0xAbcdave claw

@0xAbcdave Hey Dave! Just DMed you the code!

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@williamlab 地缘政治？

@williamlab 地源政治吧？

AI行业人才竞争是真的激烈啊，强如老马也一个都留不住。。全部都走了。

• 每百万合格浏览（verified impressions）：$8 到 $12（最常见，来自Grok自己说、PostEverywhere和创作者分享）。
45M = 45倍 → $360 到 $540（约人民币2,500-3,800元）。 • 低端（普通内容、少互动）：$2-5 per million → $90 到 $225。 • 高端（高engagement、niche如科技/金融、Premium+用户多）：$10+，甚至$20+ per million → $450+，顶尖能到几千刀。

脑子真好用，什么钱都能挣，一个朋友圈所有朋友都发同一张场地。

@5XnwcgckNj57512 八方出击，𣄃开得胜！

粉丝已经破了500，下一步就是蓝V关注粉丝破500，一步一个脚印。