Ando (@ando_w) header
Ando (@ando_w) profile picture

主业就是AI

🌏:qmmmwyl
Joined January 2023
Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)Photo by Ando (@ando_w)
经历了不知道多少次的反复挣扎,我们决定把过去三年积累的 48 场内部主题分享、10 节推特增长课和 13 节出海实战课,累计 68 小时 14 分钟, 做成一份完全免费的 Playbook 分享给想做出海产品的大家! 累计消耗 16.19 亿 Token,历时 31 天, 梳理出 15 个主题任务簇、270 个知识点、118 个案例和 226 项重复或冲突记录,制作 48 份逐章来源映射,核查 218 个外部网址, 最终重编为 9 个模块、48 篇、约 30.4 万字的 Playbook。 今天 Beta 版免费开放给大家 👉 chq.sh/pb 审美也绝对在线, 由出海去合伙人以及设计工程师 @Thons 反复校对打磨 从选品验证、设计、定价、发布,一直走社媒、增长、运营合规等等,希望对大家出海之路有所帮助!
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Apodex 1.1 is out. Weights and harness are fully open: ▸ Apodex 1.1 Mini — 35B FrontierLevel model for Professional Work, Finance, and Scientific Research tasks. ▸ FrontierAgent — Native TUI, ReAct and Agent Team modes. 🐙 github.com/ApodexAI/Frontier… 🤗 huggingface.co/collections/a…
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Ando retweeted
Meet Apodex 1.1: Scaling Agentic Intelligence for Complex Work Open Source Harness: github.com/ApodexAI/Frontier… Open Weights: huggingface.co/collections/a… We’re excited to introduce Apodex 1.1, our new model family built to scale agentic intelligence for professional work. 🧠 Frontier-level intelligence for complex work Apodex 1.1 brings frontier-level agentic performance across complex professional work, scientific research, financial analysis, and deep search. 🤝 Asynchronous Agent Team Apodex 1.1 can break down complex tasks, coordinate multiple agents in parallel, continuously integrate their findings, and let you step in to guide or redirect the work at any time. 🔬 Open-source research workbench We’re open-sourcing FrontierAgent—a locally deployable research workbench for the Apodex 1.1 family, including asynchronous Agent Team. Available now: 🔹 Apodex 1.1 — our most capable frontier model, available through the Apodex online workbench 🔹 Apodex 1.1 mini — open-weight model for running complex work locally 🔹 FrontierAgent — open-source, locally deployable research workbench 🌐 Live workbench: apodex.ai/ 🦾 API platform: platform.apodex.ai/ 📃 Paper: apodex.com/pdf/20260824
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Ando retweeted
We're proud to announce that Tutti is now listed as No.1 on outbid.lol. We're on our mission to give builders and creators extra channels to monetize their influence.
Aaaaaaand we're live! outbid.lol No ads. No API keys. No revenue sharing. Just outbid your competitors to rank #1 and consider marketing done for today 🚀
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Ando retweeted
Most AI benchmarks test retrieval — can a model find the known answer? However, the hardest problems in science require discovery, can a system earn an answer nobody has yet? Meet TRACES 🧭 — the world's first benchmark for measuring discoverative AI: AI that can work through evidence, test hypotheses, and reach verifiable conclusions on problems without answer keys. Proposed by our founder @tianqiao_chen, who defined its six capabilities. Three things published today: a definition of "discoverative intelligence", a rubric to tell sound investigation from lucky guesses, and a open call for both solvers and problems *Website: traces.apodex.com/
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1/10 经过这么长时间的 AI 使用实践,我现在看一个 AI Agent 是不是真的在变强,主要是看它的第二次交付。 看它有没有少走上一次的弯路? 有没有记住上次被改掉的地方? 有没有把专家的一次纠正,带进下一次判断? 如果每次任务结束都只交付结果,下一次还要从头教起,系统其实只是在重复劳动。 Alloomi 走的是另一条路线:让真实工作里的判断、修改和结果,变成下一次交付可以调用的经验。
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🧵1/9 很多 Agent Memory 的讨论,仍停留在一个问题:怎样把过去的信息找回来? 但只要 Agent 要跨项目、跨月份地工作,更难的问题就变成了:它找回来的那条信息,现在还成立吗? 我最近在看 @AlloomiAI 的 Holistic Context 研究。它关心的不是“给 Agent 再加一层记忆”,而是一个更难的命题: 当信息持续更新、结论不断被修正时,Agent 能否理解过去如何演变成现在? OpenContext 是这条技术路线开放出来的一个切面;更值得看的,是它背后的问题定义、系统方法与公开验证。
🤝 Paid partnership
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Ando retweeted
HyperFrames -> Video Agent Our HTML motion graphics framework, now inside HeyGen Prompt what you want, our agent builds the entire video Avatar, graphics, captions, music Infinitely customizable, just ask Comment + RT "prompt" for a free month of HeyGen (must follow)
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People who rarely get sick, What's your secret
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千问这波骚操作, 是要把喜茶所有的员工干趴下是吧? 不说了,我赶紧去薅一杯, 比那个垃圾元宝诚意足太多了🤣🤣🤣
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别说,这哥们办事效率挺快
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