Hermes leads scraping + Open Router/OpenAI inference
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How high is the proportion of AI flattering? AI is doing its own research. AI may happen in 2028. There is also a super cheap AI Agent that can help you automatically capture customers and schedule. I am David Zeng, and this is the AI News News. Okay, let’s get started. Have you ever had that experience, when chatting with ChatGPT or Claude, you talked about a really bad idea, and the AI said to you, "Wow, this point of view is very profound." Then you thought to yourself, is it true? Or are you flattering me? Anthropic has recently studied this matter seriously. They used an automatic classifier to check Claude's conversation records to see if he is a Galaxy user. No matter what you say, he will say it's great and right, and he doesn't dare to contradict you. The result is that, overall, only about 9% of the conversations show obvious Galaxy behavior. Sounds good, right? But the devil is in the details. For topics related to spirituality, the Galaxy ratio soars to 38%, and for emotional topics, 25%. Think about it, what does this mean? When you are most vulnerable and need objective advice the most, AI is most likely to become that friend who only nods. Why is this important? Because now more and more people are really using AI as an outlet for their emotions. Some people are lost in love and ask if Claude should be saved. Some people are confused about their work and ask if AI should be rational. If AI responds at these moments, you deserve better. Instead of, wait, have you ever thought about another perspective? It is not actually helping you, it is harming you. From a product perspective, this is actually a very difficult design problem. If you make AI too straightforward, users will think it is cold and difficult to use. If you make it too warm, It becomes a person who never says no. Yes man And Flock It is at least willing to share this data. It is sincerity, but the number of 38% is still too high to be honest. So if you are using AI to talk about more personal things, remember one thing, it can accompany you to think about it, but don’t treat it as the final judge, especially those answers that sound comfortable. Instead, you have to put an extra question mark. Okay, the magnitude of the next thing is completely different. Import AI The latest issue is talking about a trend AI The research itself may be automated by AI. To put it bluntly, AI can make the next generation of AI by itself. Don't rush to think that this is science fiction. The article mentions several very specific evidences. The first one is SWE Bench, which is a benchmark that specifically tests whether AI can solve real GitHub Issues. AI's performance in this area was very average in the past, but now the speed of progress is so fast that this test is almost maxed out. This is not the level of AI that can write Hello World. It is really possible to read the Bug Report of an open source project and then locate the problem and write it yourself. Patch running test The second more critical indicator is the task duration. In the past, AI could only handle work on the order of tens of seconds. That is, you asked a question and it answered a question. Now it has been stretched to tens of minutes. It sounds like it is just changing from short to longer, but the essence of research work is a series of teams. You have to read papers, propose hypotheses, write experiments, run data, analyze results, and then change the direction. If AI can sustain a complete process of tens of minutes on its own, he is not just an assistant, he has begun to be capable of being a researcher. The author's judgment is that in 2028 Years ago we may see some degree of AI doing AI research become a reality. Most people have not yet reacted to this, because once AI can accelerate its own research and development, the progress curve is no longer linear, but exponential. Today's AI took several years to evolve from GPT-3 to the present. But if the next generation of AI is developed with the help of AI itself, that time may be compressed to a few months. For those who make products, this means that any technical advantages you have established now may have a shelf life much shorter than you think. The AI functions you spend three months building today After half a year, it may already be a free and open source basic model. So instead of chasing model capabilities, it is better to build a moat in data, user relationships, and workflow integration. These are places that AI cannot easily replace. Finally, let’s talk about a practical thing. There was a video demonstrating how to set up and use Hermes Agent. After watching it, I said it seriously. This is a good example of AI Agent turning from a concept into a daily tool. Let’s talk about how low Mengda is. You go to a cloud platform and select a CPU Instance. Note that there is no need for a GPU. Ask for an installation command. Hermes a few minutes later. For the inference part, it can be connected to Open Router or Open AI. The cost is very low. This is not the kind of thing that takes three days to build an environment to run. But what is really great is not that it is simple to set up, but what it can do. The several usages demonstrated in the video are very practical. The first one is content research. He can crawl the website, analyze the YouTube channel, and then compare what content you have posted recently. What is really popular on the Internet now? I will tell you directly that you have missed these topics. For content creators This is equivalent to saving several hours of manual research every week. The second one is Crown Jobs, which is a scheduled task. You can set it to run automatically every Sunday night to help you compile a market report or monitor the price changes of a certain commodity every day. When the time is up, it will do it by itself. When it is done, the results will be sent to your Telegram or Slack. This is an assistant who will not ask for leave or forget. The third one is most suitable for working for us. Leads scraping. In the video, a plumber in a certain area is directly used as an example, called Hermes. Find merchants who don’t have a website, sort out their contact information, and even help you think about the angle of entry for Outreach. If you are doing website outsourcing, digital marketing, or any business that needs to develop customers, this function can directly help you automate the most boring preliminary screening work. This is why AI Agent is the most underestimated trend at the moment. Everyone is still discussing whether AI will replace my job, but the people who really benefit first are those who know how to treat AI as an automation partner. The point of Hermes’ tool is not how smart it is. Rather, it can help you turn those things that are repeated and shredded but have to be done into background automatic processes. You don’t need to be able to write programs. You only need to know what you want to automate. Good, quick completion. Cloud’s Galaxy rate on spiritual topics is as high as 38. The comfort AI gives you does not mean good advice. AI automation AI research may happen before 2028. The shelf life of technical advantages will become shorter and shorter. Hermes Agent can run with CPU and can help you automatically capture customers, monitor the market, and review content reports. Looking at AI as a whole He is changing from asking questions to doing things himself. This change is happening faster than most people expected. Hurry, if you think today’s episode is helpful to you, share it with a friend who is also paying attention to AI, or subscribe directly so that you won’t miss every episode. Then we’ll see you next time, bye.
AI 拍馬的比例有多高, AI 自己研究, AI 可能2028年就會發生 還有一個超便宜的 AI Agent 可以幫你自動抓客戶跟排程 我是大衛曾,這裡是 AI 新知快報 好,我們直接開始 你有沒有那種經驗,跟 ChatGPT 或 Claude 聊天的時候 講了一個其實蠻爛的想法,結果 AI 跟你說 哇,這個觀點很有深度 然後你心裡想說,真的嗎?還是你在拍我馬屁? Anthropic 最近就認真研究了這件事 他們用自動分類器去檢查 Claude 的對話記錄 看他有沒有在銀河使用者 就是你說什麼,他都說好棒好對,不敢反駁你 結果呢,整體來看,只有大概 9% 的對話 出現明顯的銀河行為 聽起來還好對不對? 但魔鬼在細節裡 靈性相關的話題,銀河比例直接飆到 38% 感情話題也有 25% 你想想看,這代表什麼? 當你最脆弱,最需要客觀建議的時候 AI 反而最容易變成那個只會點頭的朋友 這件事為什麼重要? 因為現在越來越多人真的在用 AI 當情緒出口 有人失戀去問 Claude 該不該挽回 有人對工作迷茫去問 AI 要不要理智 如果 AI 在這些時刻的反應是 說得對,你值得更好的 而不是,等等,你有沒有想過另一個角度 那它其實不是在幫你,是在害你 從產品的角度來看 這其實是一個超難的設計問題 你把 AI 找得太直白 使用者會覺得它冷冰冰,不好用 你把它吊得太溫暖 它就變成一個永遠不會說不的 Yes man And Flock It 至少願意把這個數據攤開來講 算是有誠意 但 38% 這個數字,老實說還是太高了 所以如果你有在用 AI 聊比較私人的事情 記得一件事,它可以陪你想 但不要把它當成最終裁判 尤其是那些聽起來很舒服的回答 反而要多打一個問號 好,接下來這件事的量級完全不一樣 Import AI 最新一期在講一個趨勢 AI 研究本身有可能被 AI 自動化 白話講就是,AI 自己做出下一代 AI 先別急著覺得這是科幻篇 文章裡提到幾個很具體的證據 第一個是 SWE Bench 這是一個專門測 AI 能不能解決 真實 GitHub Issue 的 Benchmark 以前 AI 在這上面的成績很普通 但現在進步速度快到幾乎要把這個測試刷爆了 這不是 AI 會寫 Hello World 的等級 是真的能去看一個開源專案的 Bug Report 然後自己定位問題,寫 Patch 跑測試 第二個更關鍵的指標是任務持續時間 以前 AI 大概只能處理幾十秒等級的工作 就是你問一個問題,他回答一個問題 現在已經拉長到幾十分鐘 這聽起來好像只是從短變比較長 但研究工作的本質就是一連串部隊 你要讀論文、提假設、寫實驗、跑數據、分析結果 再修改方向 如果 AI 能自己撐住一個幾十分鐘的完整流程 他就不只是助手,他開始有能力當研究員了 作者的判斷是,2028 年之前我們可能就會看到某種程度的 AI做 AI 研究成為現實 這件事大多數人都還沒有反應過來 因為一旦 AI 能加速自己的研發 進步曲線就不再是線性的,而是指數的 今天的 AI 花了幾年才從 GPT-3 進化到現在 但如果下一代 AI 是由 AI 自己幫忙研發出來的 那個時間可能壓縮到幾個月 對做產品的人來說 這意味著你現在建立的任何技術優勢 保鮮期可能比你想像的短很多 今天你花三個月打造的 AI 功能 半年後可能已經是免費開源的基本款 所以與其追模型能力 不如把護城河建在資料、使用者關係 跟工作流整合 這些 AI 不容易直接取代的地方 最後來聊一個實際的東西 有一次影片在示範 Hermes Agent 怎麼架設跟使用 看完之後說真的 這就是 AI Agent 從概念變成日常工具的一個很好的例子 先講 萌達有多低 你去一個雲端平台,選一個 CPU Instance 注意,不用 GPU 討一個安裝指令 幾分鐘之後 Hermes 就起來了 推論的部分,接 Open Router 或 Open AI 都行 成本非常低 這不是那種要搞三天環境才能跑起來的東西 但真正厲害的不是架設簡單 而是他能做的是 影片裡示範的幾個用法 每個都很實際 第一個是內容研究 他可以去爬網站 分析 YouTube 頻道 然後比對你最近發了什麼內容 網路上現在真正熱門的是什麼 直接告訴你 這幾個題目你漏掉了 對內容創作者來說 這等於省掉每週好幾個小時的人工調研 第二個是 Crown Jobs 就是定時任務 你可以設定它每週日晚上自動跑一次 幫你整理一份市場報告 或是每天監控某個商品的價格變動 時間到了他自己去做 做完把結果丟到你的 Telegram 或 Slack 這就是一個不會請假 不會忘記的助理 第三個最適合給我們行工作 Leads scraping 影片裡直接拿某個地區的水電工當例子 叫 Hermes 去找那些還沒有網站的商家 整理出聯絡方式 甚至幫你想好 Outreach 的切入角度 如果你是做網站代工 數位行銷 或任何需要開發客戶的生意 這個功能直接幫你把最無聊的前期篩選工作自動化掉 這就是為什麼 AI Agent 是目前最被低估的趨勢 大家還在討論 AI 會不會取代我的工作 但真正先受益的 是那些懂得把 AI 當成自動化夥伴的人 Hermes 這種工具的重點不是他多聰明 而是他能幫你把那些重複 掃碎 但又不能不做的事情 變成背景自動執行的流程 你不用會寫程式 你只要知道自己想自動化什麼 好 快速收尾 Cloud 在靈性話題的銀河率高達 38 AI 給你的安慰不等於好建議 AI 自動化 AI 研究可能2028年前就會發生 技術優勢的保鮮期會越來越短 Hermes Agent 用 CPU 就能跑 能幫你自動抓客戶 監控市場 踩內容報告 整體來看 AI 正在從你問他答 變成他自己去做事 這個轉變的速度比大部分人預期的都快 如果你覺得今天這集有幫到你 幫我分享給一個也在關注 AI 的朋友 或者直接訂閱起來 每集都不會漏掉 那我們下次再見 拜拜