杰哥的AI踩坑日记

X AI ALGORITHM UPDATE 🚨 X updated their open source algorithm yesterday and the early likes matter even more now. Small accounts should focus on: writing posts people hit like on and read till the end (so write to be read) tl;dr: - X's open source code got new scores on Nov 5, the first change in 3 weeks - likes: 0.66 → 0.708 (highest yet) - time spent on a post: 0.006 → 0.0075 - tapping into a post: 0.3 → 0.274 - opening a video: 0.02 → 0 - new rule: AI replies may get flagged under big accounts as "llm slop" and may not reach the person's notifications lesson learned: a tap isn't the win anymore. Someone staying and liking is. full details: - The new numbers Up: likes 0.66 → 0.708, time spent on a post 0.006 → 0.0075, shares 2 → 2.118. Down: tapping into a post 0.3 → 0.274, staying 10+ seconds after a tap 0.4 → 0.385, opening a video 0.02 → 0. "Not interested" got a bit harsher, -52.27 → -53.07. Copy link, replies, quotes, DM shares and follows didn't move. X didn't explain any of this. It's just what the code says now. (I check the open source algo daily with Claude and share updates with you) - Look at where this has gone in a month In early October a like was worth 0.5. Now it's 0.708. Time spent was 0.004. Now it's 0.0075, nearly double. A tap was 0.3 and it's going down. Every change points the same way. X keeps paying more for people who stay. - Why that matters if you're small My read: you can't win on big numbers, but you can win on the people who do see your post. If they stay and like it, that counts for more today than it did last week. And those early likes also decide which new post gets the extra push. - Video and your profile X also switched on two new guesses in its ranking: how long someone keeps watching after they open a video, and how long they spend on a profile after tapping it. I can't tell you what those are worth. The only file that lists them is out of date, so I won't guess a number. My read: opening a video dropped to 0 the same day because X cares more about people who keep watching. So make the first seconds count, and make your profile worth sticking around on. - A new rule for replies under big accounts X runs an AI check on replies under accounts with over 250K followers. Flagged replies can get a label that lasts 14 to 30 days. One of the flags is literally called "llm slop" (AI slop, as I read it). That part isn't new. This is: X's rules now say a labeled reply or mention doesn't reach the person's notifications unless they follow you. Grey badge accounts and accounts X rates as highly credible skip this label. Small accounts get no such pass. I can see the rule, I can't see if every notification goes through it yet. Either way, write your own replies. - What didn't change Your new posts still get their extra push in the first 2 hours and first 200 views, and they still don't get cut first. Here's a recap of what you should be doing: - likes just hit 0.708, the most they've ever been worth - each second someone spends on your post is worth 25% more than last week - staying 10+ seconds after a tap earns 0.385 on top of the tap - reply in your own words, under big accounts especially - make your profile worth a visit, X now guesses how long people spend there - for video, hold attention early, just getting the open now scores 0 - being read to the end also helps X find you new readers - originals from accounts below 50K can jump to around spot 16 - early viewers liking it is what wins that lift - your first 2 hours and 200 views are the window, so publish when your people are online - the biggest single number is still 20, for someone copying your link - quotes, DM shares and replies earn 5 apiece - back and forth between mutuals is worth 20, so follow back your regulars - strangers only get shown your originals - the 1st like and the 32nd like each open another route to new people - a second post of yours in the same feed drops to 62%, so make one count - the video lists want clips over 10 seconds - +4 when a post is likely to earn you a new follower - your pinned post can affect the whole account, so take a look at it What you should NOT be doing: - pasting AI replies under big accounts, "llm slop" is a real flag at X - copy-paste replies, a duplicate label means they never get notified - chasing the tap, it's down to 0.274 and falling - off-topic posts, one likely "not interested" costs -53.07 - a video that only gets opened earns nothing for the open - publishing at 3am burns your 2 hour window - relying on replies and reposts to reach new people, they stay with your followers - getting an insult label, non-followers won't see that post at all - low quality and misinfo labels bring a warning, and non-followers can't like or share - adult media in 3 of your last 5 posts gets the whole account labeled - X rechecks videos for hidden content at 64 and 512 likes - piling your replies under a big account's post can sink your own score - one label on the account and non-followers stop seeing you - a link to a badly rated site in your pinned post risks a 7 day label - reusing your own wording word for word risks the copypasta flag - pairing a low quality link with tags of strangers looks like spam to X - engagement bait gets labeled no matter how big you are - posting several in a row, they fight each other for the same feed - hashtag stuffing does nothing - counting on bookmarks, they're worth 0 - expecting For You to show a post past 48 hours

卧槽，GPT 咋也开始封号了？ 中国人用个 AI，怎么跟渡劫一样？😂

Some news: I’m joining OpenAI to lead product management for Core Products! I have a lot of respect for OpenAI for showing the world that scaling works, for bringing AI to over a billion people, and for believing great products are core to the mission. I’m excited to work with @thsottiaux, an incredible PM team, and everyone across OpenAI. Together, we’ll build agents that have your back and your team’s, and keep you in control, so you get more time for the people and work you love. Lots to learn, and lots to build. Please keep your feedback coming!

凝聚大冰老师团队管理智慧的第一个skill 出来了， 大冰老师说有100个star他就把所有他花了好多钱的skill 开源出来。star点起来！！ - [公开技能仓库](github.com/dabingfy-dot/solo…) - [你的 GitHub 个人主页](github.com/dabingfy-dot)

Images, upgraded—introducing ChatGPT Images 2.6. Now with GIFs and reference images. Plus, two new models are coming to the API with 50% faster image generation.

最近跟几个行业专家聊 AI Agent，发现一个挺难受的问题。 很多行业专家已经开始用 AI 梳理自己的业务，甚至整理出了一套所谓的 Skills。 但当他把这些东西交给程序员的时候，程序员反而不知道怎么开发，也不知道该从哪下手。 这几天跟不同的人聊下来，我慢慢发现一个问题： 行业专家的经验都在脑子里，但这些经验并没有真正变成程序可以理解和执行的业务逻辑。 比如，一个专家说，他能通过 AI 判断一家店铺经营得好不好。 但问题来了： 判断一家店经营得好不好，到底需要哪些数据？ 营业额、客流量、客单价、复购率、成本，这些数据之间是什么关系？什么情况下算好，什么情况下算差？ 这些东西如果没有梳理清楚，光靠一个 Skill 或者几句提示词，AI 确实能给你一份看起来挺专业的分析，但这个分析到底靠不靠谱？ 所以我现在越来越觉得，我们可能走进了一个误区。 不是把行业经验写成 Skill，就等于把行业能力交给了 AI。 真正要做行业 Agent，底下还是得有业务系统、数据结构、计算规则和可调用的工具。 AI 可以负责理解问题、调用工具、综合判断、生成方案，甚至推动整个流程执行。 但它不能凭空替代这些基础建设。 这也让我想到千问办公和客如云的合作思路。 客如云本身就有成熟的门店经营系统和业务数据，AI 在这些基础能力上做赋能，才更容易真正落地。 我不知道你们有没有遇到过类似的问题。 尤其是那些懂技术，又想跟行业专家一起用 AI 改造传统业务的人。 你们是怎么把专家脑子里的经验，真正变成可以开发、可以执行的东西的？

普通人在AI时代如何生存以及寻找自己的意义？ 非技术背景、无大厂工作经历、祖传三代文科生 16个月前，我是中年僧人一身僧袍 16个月后的今天，推特2万粉丝，开源项目900star 千问眼镜黑客松获奖者 阶跃星辰手机内测用户 Spacex bot ambassador 组织过三场100人以上的大型活动 这一路走过，太辛苦，感谢太多人 感谢我的编程老师@yihui_indie @iamzhihui 再感谢@servasyy_ai 网络情缘一线牵 我对agent harness的理解完全来自黄佬 感谢@ElliotChen和@dinah_zhang 接纳我到开源社区，得以认识到非常多的开发者，让我快速成长 感谢@tualatrix 图大在杭州良渚星期四的轻松氛围 最后还要感谢很多很多在线下见面不断鼓励支持我的朋友 @canghe @gkxspace @bbkirstry @TATALAB_AI 我的偶像@Jason_Young1231 @Saccc_c 每次我困顿时，两位偶像的人生路都让我再坚持一口气 nanobot 作者@xubinrencs Evomap founder 张昊阳老师 CTO 范志东老师 @Ninggao88 高宁老师 @anorth_chen 北哥 以及@MaiYangAI 文哥和@Caiya_5 @jev_chat @cgnot996 感恩的人太多不胜枚举，如有疏漏，还请见谅 凡是过往，皆为序章 如果你好奇一个普通人如何在AI时代学习和成长 请关注我♥️ 谢谢