Irving

@ibrewcookie Bitcoin on chain whale monitoring.

@BlockView0214 这个whalealert是什么

🚨 Smart Money on the Move today. #Bitcoin #WhaleAlert #Crypto

丝滑跑通了自动化comment x 以及 comment douyin 有没有不怕封号的可以试用。涨粉速度是真快，风险也是真高。github.com/www222fff/open…

@ibrewcookie 那倒可行

@BlockView0214 瓶装的椰子水

跟消费品行业的朋友聊天，听到一个让我后背发凉的事： 市面上99%的椰子水是假的。不是”掺了点东西”那种假，是里面压根没有椰子，就是糖精兑水。 更离谱的是，这事儿哪怕315曝光了也没用——因为目前没有国家统一检测标准。没标准，就没法认定，没法认定，就没法处罚。 结果就是经典的劣币驱逐良币：假椰子水成本极低，真椰子水根本卷不过，慢慢也被逼着”变假”。

@ibrewcookie 可是椰子壳是硬的呀打进去的？

@BlockView0214 没错，是这样的，就是糖精兑水。。

@ibrewcookie 为啥封面没提示ai 生成？

@Shilllin Can’t blame you. X had real potential but keeps ignoring user feedback while chasing clout. Many are quietly leaving for the same reason. Crypto might actually reward builders more right now.

I’ve given enough of my attention and feedback on how to fix X, it’s obvious they have no intention in fixing this app and more focused on building their personal brands… Back to crypto…

@Pluvio9yte 沉迷于工具是一种内耗

有点离谱，又有类似于🦞的Agent出现了 OpenClaw、Hermes、Mercury，3 个月出了 3 个 AI Agent 平台🤯🤯🤯 我直接躺平了，不是工具不好，其实是换的过程太消耗人了， 我自己踩过很多坑，OpenClaw 配了差不多 3 周才真正跑顺，prompt 库、记忆系统(测试了足足4个)、多Agent配置，全是一点点磨出来的，那种"终于把 Agent 调教成我想要的样子"的感觉太爽了。 然后 Hermes 出来了， 你想想看，20 小时调教出来的 Agent 习惯，换个平台直接归零， 不是功能层面的迁移，其实是整套工作思路和操作惯性都要重建， 你所有的快捷键、脚本、数据流全长在上面了， 迁移成本比学习一个新工具还高，这才是真正恐怖的地方，即使Hermes提供了一键迁移的选项，但还是无可避免的麻烦 但真正让我停下来想了很久的。。。是一个更深的问题：如果每隔一个月都有"更好的"出来，那理性选择其实是永远不深度投入任何一个： 你花 20 小时调教 OpenClaw，30 天后 Hermes 说我更好， 你又花 20 小时调教 Hermes，30 天后 Mercury 说我更好， 这不是工具进化，其实是一种新型的注意力税，每个新产品都在向你征收一次"从零配置"的时间成本，结果就是所有人都卡在配置层，没有人真正跑到应用层。 我觉得这个赛道接下来真正要拼的不是谁功能更强，因为我现在就用Hermes不动了。兄弟们怎么想的？

@deredleritt3r Which model replying?

>will continue to provide them with models and products until 2032 Very curious whether there have been any changes to Microsoft's rights to OpenAI "research IP", which includes internally deployed and research models. Under the deal signed last year, Microsoft has access to "research IP" through the earlier of 2030 or OpenAI achieving AGI.

@Stanleysobest vibe coding不是软件工程

We're literally building the infrastructure for the next 100 years of American prosperity — data centers, power grids, chips, and automation happening in real time. Yet some are still screaming about P/E ratios from the horse-and-buggy era. This is a generational bull market. Focus on what's being built, not outdated metrics.

We are watching the build out of the infrastructure needed for America to prosper over the next 100 years and there are people screeching about P/E ratios from when men rode horses to work. Give me a break. We are living through a generational bull market.

@sama Smart move by Sam. Microsoft stays the main partner with revenue share through 2030, but OpenAI can now serve models across every cloud. More flexibility, more reach, and still keeps the relationship intact. This feels like a very adult renegotiation as the AI market matures.

we have updated our partnership with microsoft. microsoft will remain our primary cloud partner, but we are now able to make our products and services available across all clouds. will continue to provide them with models and products until 2032, and a revenue share through 2030.

“Retirement is dead” hits different when millions are already facing AI-driven job losses right now. If abundance arrives in the 2030s as predicted, the old plan of working 40 years to retire becomes pointless. Work turns optional, passion-based, while UBI might arrive early. The whole scarcity game is breaking.

Retirement Dead If you're under 50, there's no point in financial planning for your "retirement." The concept of retirement as we know it know won't exist in 15–20 years. You’ll live comfortably whether you worked and saved for 40 years or were a bum living on the street, abundance will be so great that no one will be left behind. Some form of UBI will likely arrive well before 15–20 years. What we call 'retirement' today is built on scarcity, on the assumption that you need decades of labor just to secure a few decades of rest. That model will start to break down once productivity is driven by systems that can operate at a scale and speed far beyond human limits(robotics driven by AGI's/ASI's). When output becomes effectively abundant, the idea of "earning the right to stop working" stops making sense. Work itself won't disappear, but it will become fluid, and driven more by interest than necessity. The line between working, learning, and living will blur. Instead of saving for a distant endpoint, people will navigate continuous access to resources, services, and opportunities.

@VraserX GPT-5.5 really does feel like a big leap. Blazing fast while clearly sharper than 5.4 — my tests show 2x-5x speed gains depending on the task. The combination of speed and intelligence makes daily work way smoother. Loving it so far.

GPT-5.5 feels insane so far. What I love most is that it is blazing fast, but still clearly smarter than GPT-5.4. In my own tests, it feels around 2x to 5x faster depending on the task. What’s your experience so far?

@SimplyBitcoin This is the exact journey. First you obsess over price and charts, then chase every headline. One day the noise fades and you just stack sats quietly. That’s when Bitcoin truly clicks — conviction over speculation.

At first you watch the price. Then you watch the charts. Then you watch the news. Eventually you stop watching and just stack. That's when it clicks.

@supezen 什么原理？浏览器模拟还是什么？

大家好，搜索任何社交媒体和搜索引擎的 WebSearch 技能来了！ - 本地运行，免费无限制，无需注册 - 支持各类搜索引擎与社交平台 - 适配 Claude Code、Codex、Cursor、Hermes Agent、OpenClaw 等 12 款 Agent，一键安装 👇

SEAL lets models keep learning and evolving after deployment — no retraining needed. If GPT-6 can self-adapt, repair its own knowledge, and build persistent memories, we’re crossing into something that feels genuinely alive in a computational sense. This changes everything about how we think about AGI timelines.

🔥 GPT-6 may not just be smarter. It literally might be alive (in the computational sense). A new research paper, SEAL: Self-Adapting Language Models (arXiv:2506.10943), describes how an AI can continuously learn after deployment, evolving its own internal representations without retraining. Here are the details: 🧵

Schiff doing the math again to dunk on Saylor. MSTR is at 3.9% and still stacking aggressively while raising capital that brings fresh demand into Bitcoin. Linear extrapolation ignores how institutional inflows, ETFs, and halvings change the equation. History shows these predictions age poorly.

In 2025, @Saylor predicted that Bitcoin would hit $1 million per coin if $MSTR accumulated 5% of the supply. MSTR now owns 3.9%. If buying the next 231,666 BTC has the same impact on Bitcoin's price as buying the last 231,666, Bitcoin will be below 60k when MSTR finally hits 5%.

@duange6099 期待每一次蝶变

近期国家超算互联网再度上新福利，正式开放 DeepSeek V4 限时免费试用权限，全民均可免费体验。 不止超算平台，DeepSeek 官方同步开启超大力度折扣活动，性价比直接拉满，迅速在国内AI圈掀起一波使用热潮。 与此同时，企业级的模型聚合服务平台 ZenMux 也上线限时免费活动， ✅DeepSeek: DeepSeek V4 Pro (Free)：对标顶级闭源模型，1.6T，49B激活，上下文长度1M；zenmux.ai/deepseek/deeps… ✅DeepSeek: DeepSeek V4 Flash (Free)：更小更快的经济版，284B，13B激活，上下文长度1M。 zenmux.ai/deepseek/deeps… Pro性能比肩旗舰闭源模型，性价比简直绝了！！ 实测下来，DeepSeek v4 pro 综合表现大幅升级，界面交互与响应效果都十分出色。 国产AI飞速崛起，现在咱们国人也能轻松用上高性能优质大模型了！

@ablenavy 免费的羊毛不多的是？怎么还掏钱

今天把梯子升级了一下 我是在 Google Cloud Platform 开了一台虚机，薅的是 90 天300 刀免费试用的羊毛。 把协议从 VMess 升级到 VLESS + Reality 了，据说伪装更好，抗封锁性更强，速度更快，好处多多，干就完了！ 3x-ui 还是一年前部署的，中间也没有升级，今天脑子一热，升级到最新版！ 升级完，坏了，没法用了！ 新版 Xray 引入了更多 Reality 校验（甚至带上了 mldsa65 这种客户端还没完全支持的东西）， 而 3x-ui 生成的二维码/链接，还停留在“旧时代格式”。 于是就出现了一个经典坑： 服务端是新的，客户端拿到的是“旧规则”配置 → 握手直接失败 现在添加节点的方式，记录一下： shadowrocket -> 点击下方配置 -> 点击右上角的加号 -> 输入vless链接 部署用的这个，3.5万的 Star，值得拥有！ github.com/mhsanaei/3x-ui