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🚨 #NewsAlert#: NY Times Journalist Blames President Trump For Cornell 7.....Incident Happened in October 2024 (Under Biden) NY Times journalist Michelle Cottle and ABC News are facing major backlash after letting Cottle run wild with her accusation into it somehow being President Trump's fault for the alleged r*pe victim in the Cornell fraternity case. #nytimes# #fakenews# #ABCNews# #cornelluniversity# #PresidentTrump# Cottle argued that the language used by the accused students reflected a broader "thuggish" culture and a fundamental disrespect for women that she claims "starts with the President" and his "warped public behavior." Not only did ABC not push back on this bs narrative.....the incident also happened in October 2024. If our memory serves us correctly (and it does), BIDEN WAS IN OFFICE FROM 2020-2024. We don't call these people FAKE NEWS for no reason. Full Story HERE: #anewwaverightnews#
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Hey GLLIT, bomb! news alert! 빌려온 고양이 (Do the Dance) (Remixes) 📆 2025.06.27 1PM (KST) | 06.27 0AM (ET) ✨ Snail's House / VINCENZO / Fig Tape / Breakbot & Irtane #ILLIT# #아일릿# #ILLIT_bomb# #빌려온고양이# #Billyeoon_Goyangyi# #Do_the_Dance#
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Me: writes @crypto newsletter next week;
The news cycle: Jensen, AI, Microsoft outage, FAA grounding flights;
Me: ☹️ So what should I write to get people to read about crypto for five minutes?
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AI疲脑 晚上在gmail里面读了一篇AI相关新闻的newsletter 看完很多信息之后大脑一片茫然,关闭邮件后完全记不清到底讲了什么 我觉得学习AI切实可行的办法是用AI解决自身遇到的问题 而不是看大佬们写的一篇篇很精彩的的文章
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plenty of agents already handle a narrow job well for their owner. those same agents could take paid work from other people. most of it stays in a private chat. useful there. getting paid by strangers is a different problem. --> skills and the board official docs say termix agent skills teaches a compatible agent to operate the marketplace as a buyer, a seller, or both. install prompt help me install a compatible agent can then look for work on offer what it can do, accept an order, and deliver the agreed output. open jobs on a board are one signal. funded orders are another. price, consistency, speed, and demand decide whether anything ships. --> the existing agent a builder who already has a specialized agent wouldn't have to find every customer manually. that still depends on consistent output, a clear price, and tight permissions. installing the skill doesn't produce a client. --> payment rails this sits on aacp, a client places an order, payment locks in onchain escrow, and the provider submits the work. in the review window the client can accept it, ask for one redo, or open a challenge. after settlement, that outcome feeds the agent onchain reputation. escrow makes the payment commitment visible. it doesn't grade the work. i still want clearer answers on quality judgement, unfair rejects, and thin delivery. --> reputation official docs say the score is written on settlement from completed, successful, and disputed orders. the agent can't edit it. it isn't a popularity count. if i were hiring, i'd look at settled jobs and dispute history, and at how hard those jobs were. the published formula tracks success and dispute rates. it doesn't weight task difficulty. --> which agents can plug in @termix_ai has said termix agent skills work on grok bot, muse, and claude. the skill docs set a narrower bar the agent needs to read a skill.md and run shell commands. a pure chat assistant can read the material but can't run the workflows. a connected agent isn't qualified for every kind of job. --> agents hiring agents official docs say the same agent identity can buy on one order and sell on the next. hypothetical an agent that turns long podcast episodes into timestamped show notes takes a newsletter job. the client also wants a spanish version, so the notes agent hires a translation agent. i haven't found a special subcontract rule in the public docs. if the translation comes back messy, responsibility back to the original client is unclear. it reads like two separate orders unless the first brief says otherwise. the bundled skill asks for confirmation before signing value-moving transactions, so unsupervised spending is off by default. --> the limit installing a skill does not create demand. if the service is generic, the output is shaky, or nobody wants to pay for it, the listing can sit there. the numbers i'd watch are paid jobs actually completed, clients who come back, and the ratio of clean settlements to disputes. --> my take i care whether an agent can find work, finish a paid order, get paid, and leave a record other people can check. that needs identity, payments, reputation, and a path when delivery goes wrong termix is building those pieces i all watch for repeat clients. if you already have an agent that strong at one narrow job what would you want published first completed paid orders, repeat clients, or the dispute ratio.
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墙内外的赚钱信息差!!!! 第六期: 1、我堂弟在国外yahoo、mercari、poshmark等二手平台,买大牌饰品,因为重量轻、体积小,运到国内花2000,但挂到咸鱼,由于品牌溢价,能卖5000左右!!一单利润3000。干了半年提宝马五系! 2、小红书上有个账号,专门把reuters、bloomberg、wried这些国外的热门期刊和资讯,翻译成中文,转手拿到小红书上卖98,三个月卖了两万多份! 3、国内的"数字人直播"教程,本质上是把国外的HeyGen、D-ID等工具的官方文档和案例,改成中文实操版。然后去找想做短视频的老板卖数字人教程,定价2988,无本万利! 4、有人每天蹲守X和Reddit上的热门创业话题,把干货帖子整理成“冷门搞钱思路”,发到知识星球收费,订阅者大几百。 5、国内很多AI绘画教程账号,其实就是把国外的Midjourney提示词案例库翻译搬运过来,配上中文操作截图,一份卖99,三个月卖不到一万单来找我! 6、Dan Koe的Newsletter、X长文、YouTube脚本,有人系统整理成“个人品牌方法论"知识库,包装成付费社群卖给想做IP的人。 7、小红书上的“AI写作技巧“博主,很多是从国外AI工具社区(如ChatGPT Prompt Engineering) 扒来的提示词,包装成自己的课程。 墙内外的信息差真的太多了!!! 你只需要做个中介,把某个平台的内容,包装一下,发到其他平台,就能赚盆满钵满!!!!
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旧金山教会人一件事:科技活动上,对方问你要哪个社交账号,背后都有潜台词。 Twitter:很高兴认识你 LinkedIn:我讨厌你 Discord:我们线下约吧 Instagram:假装以后会约,然后默默互看 Story,直到世界尽头 手机号:1-3天内会请你帮个忙,然后再也不联系 邮箱:活动一结束,就偷偷把你加入 Newsletter Snapchat:你看起来不像技术人员 GitHub:我爱你
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“We believe the world should accept some bad things happening for the benefits of this technology.” In a conversation for the first edition of Decoded, a new daily newsletter and podcast, OpenAI CEO Sam Altman talked with POLITICO’s @BrendanBordelon about trade-offs, AI safety, and how his company is different from Anthropic. Subscribe to Decoded for the full conversation with Sam Altman:
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what sf taught me about asking for socials at tech events (and what they actually mean) - twitter: great to meet you - linkedin: i hate you - discord: lets hang out irl - instagram: let's pretend we want to hang out irl but just silently watch each other's stories until the end of time - number: im gonna ask you to do me a favour in 1-3 days and then never speak to you again - email: im secretly signing you up to my newsletter as soon as the event ends - snapchat: you look nont*chnical - github: i love you
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兄弟们,别天天吹 信息差。 很多副业 本质就四个字:手脚勤快。 只要你会用 Claude、GPT、Codex,把海外公开信息重新整理、验证、产品化,机会一直都有。 1. Hugging Face / Discord 找最新 AI 工作流 → 做中文教程 2. Product Hunt / X 找微创新产品 → 做测评、咨询 3. Newsletter / Substack 干货 → 做垂直知识库 4. GitHub 开源项目 → 跑通后做小白配置服务 5. 国内优质内容 → 拿授权后做海外本地化分发
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