edwin

642 posts

edwin

edwin

@binboot1

Fullerton, CA เข้าร่วม Temmuz 2015
2.3K กำลังติดตาม15 ผู้ติดตาม
YouTube全球精选
YouTube全球精选@global_bests·
大吵大闹,有气味,影响他人。 到处邀请吃喝,其实毫无边界感。 把这种行为还当做了豪爽。
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edwin
edwin@binboot1·
@op7418 这叫啥原生?
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greenbaysunnyday
greenbaysunnyday@greenbaysu23309·
@shangguanluan 事實上,鄭就是被羞辱了。 中共慣例,對於外國政黨領導人的乘坐用車就是防彈的紅旗車(連戰、馬英九也是如此),而且馬英九的車是直接開到人民大會堂門廊,下車就在入口處;鄭麗文這次是在小巴士苦等,沒有禮賓車待遇,這不是矮化羞辱是什麼呢? 打回原型的上官亂七八糟果然就是亂 碎嘴婆,嚼舌根!
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上官亂
上官亂@shangguanluan·
哎,这么两年我一直在说,台湾的政党、政府,一定要了解大陆,不要成天吸收二手信息,活在信息茧房中,因为这样一定会导致误判,吃亏的是台湾。结果成天被抹红。 就拿这个新闻来说吧。因为郑丽文从一个巴士上下来,被绿媒大酸,什么坐的是巴士,被羞辱了,像随车小妹…… 这些人大概不知道,郑丽文坐的宇通T7,是如今最常见的大陆行政巴士、两会常用行政巴士。过去这一角色通常是Toyota Coaster——丰田考斯特。 知道过去Toyota Coaster在大陆意味着什么呢? 这是大陆所有政府部门最常见的公务车,往往使用在高级别官员有多人随行的场合。因为这个车空间大,隐秘性高,可以一次坐很多人,而且主座上通常能安装办公桌,方便官员们在途中也能聊天、办公。 坐Toyota Coaster出行,证明这一定是有一定级别的正式场合。 在大陆,但凡你看见前后有警车开道的车队,其中车队中央最重要的车一定是考斯特。 但是从2015年开始,中国国产巴士厂商宇通客车推出了宇通T7,目的就是干掉高端公商务客车Toyota Coaster——这也是中国这些年产业发展的隐喻啊。该车连续10年服务全国两会。 这些绿媒对大陆的无知简直令人傻眼。这分明是非常受重视,也非常正式的一种待遇。
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天下無賊
天下無賊@lover640624·
@shangguanluan 禮遇是不是?下個月川普就到中國了,讓我看看你們紅黨是不是敢繼續給他搭中巴,敢給川普搭中巴我就服你!
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edwin
edwin@binboot1·
@yueming2026 你在大街上骂人也会被带到派出所
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不倒翁-数据合伙人
最近网上都在说VPN会严控,实际上如果没有翻墙,你在浏览什么,网警后台可能都可以查到。 在墙内上网,最大的错觉是你以为自己在正常使用。但现实是有些线你看不见,系统看得一清二楚。 我没翻墙、没装反诈App、用苹果手机。只是点了几次网站,说了几句话。当天110电话就来了,点开几次电话就打几次。 有些边界,看不见,但你一碰,立刻有人知道。你以为只是是浏览,但系统当你是“触发”。
不倒翁-数据合伙人 tweet media不倒翁-数据合伙人 tweet media
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茄哥 | Pod
茄哥 | Pod@qg7777·
大连再现VPN罚单 500块行政处罚 有意思的是快喵 其实老王 蓝灯 某连…… 免费的最贵
茄哥 | Pod tweet media
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edwin
edwin@binboot1·
@baoshu88 看字体不是政府的,你在制造恐慌
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包叔
包叔@baoshu88·
有关部门已经开始严打Claude Code 和 Codex了
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小牛
小牛@Xiaoniu6161·
视频中的人是欧见能,这是2000年广东中山“3·29”特大绑架案(苏家绑架案)的真实现场影像。 当时他作为犯罪团伙头目,被上千名警察层层包围,在车内淡定打电话,准备与警方决一死战。 这段视频大家有没有更加完整版的。
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Qiuyao Mo
Qiuyao Mo@MoQiuyao201314·
BBC记者在珠海拍摄,却受不明身份的人士的驱赶,不知道中共口中的安全体现着在哪里?共产党整天宣传中国有多安全、新闻有多自由,结果一个外国记者在合法拍摄期间,竟受到当地“百姓”的阻拦,整个画面全球直播,也不知道他们的脸往哪搁。说不定这所谓的“路人”就是中共的便衣,为了耍无赖脸都不要了。
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edwin
edwin@binboot1·
@TruthBridgeV 所以你身在中国或欧洲,心系美利坚😜
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Truth Bridge
Truth Bridge@TruthBridgeV·
本人大致了解了一下,在美国混得好,有能力的,自立更生的华人基本都支持川普和MAGA。 只有那些非法难民,混得很差的,想不劳而获,或者靠国内输血的华人才会憎恨川普。
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土澳Glen
土澳Glen@Glen92750101·
去新西兰旅行,我只需要带上身体;去大国旅行,我得带上备用大脑。 在新西兰,不过是把超市换了个名字而已。Apple Pay照样刷,Uber照样叫,手机里的应用几乎都能无缝衔接;看病还能按本地居民待遇,真正的“澳新一家亲”。 而去大国,我得先准备一份长长的 checklist: •研究 VPN 哪家更稳 •给手机来一次“大扫除”,卸载 X、YouTube、MacBook 同步等 •装上微博、高德、美团,完成本地化改造 •对一切“便利”表现出适度惊叹 •偶尔抱怨澳洲的无聊与不方便 •闭口不谈澳洲福利,转而赞叹新农合的普及率与报销比例 •要强调:澳洲人少资源多,大国人多资源紧 •要学会辩证看待澳洲的发达与大国的欠发达 •最重要的:随时拉住小T,别让他单独行动 去新西兰,是换个地方生活;去大国,是一次自我改造。
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edwin
edwin@binboot1·
@zmx8067 意林看多了吧
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油爆琵琶拌着面🇨🇳
“西方社會維係是靠契約”,很難想象這是易中天老師 2026 年的演講。🤔 川普漲關稅的時候跟你談契約了?巴拿馬取消合同的時候跟你談契約了? 很震驚 2026 年了還有這種意林故事。🤔
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edwin
edwin@binboot1·
@_LuoFuli 小米的模型最垃圾,别跑到外网上出丑了!
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Fuli Luo
Fuli Luo@_LuoFuli·
Two days ago, Anthropic cut off third-party harnesses from using Claude subscriptions — not surprising. Three days ago, MiMo launched its Token Plan — a design I spent real time on, and what I believe is a serious attempt at getting compute allocation and agent harness development right. Putting these two things together, some thoughts: 1. Claude Code's subscription is a beautifully designed system for balanced compute allocation. My guess — it doesn't make money, possibly bleeds it, unless their API margins are 10-20x, which I doubt. I can't rigorously calculate the losses from third-party harnesses plugging in, but I've looked at OpenClaw's context management up close — it's bad. Within a single user query, it fires off rounds of low-value tool calls as separate API requests, each carrying a long context window (often >100K tokens) — wasteful even with cache hits, and in extreme cases driving up cache miss rates for other queries. The actual request count per query ends up several times higher than Claude Code's own framework. Translated to API pricing, the real cost is probably tens of times the subscription price. That's not a gap — that's a crater. 2. Third-party harnesses like OpenClaw/OpenCode can still call Claude via API — they just can't ride on subscriptions anymore. Short term, these agent users will feel the pain, costs jumping easily tens of times. But that pressure is exactly what pushes these harnesses to improve context management, maximize prompt cache hit rates to reuse processed context, cut wasteful token burn. Pain eventually converts to engineering discipline. 3. I'd urge LLM companies not to blindly race to the bottom on pricing before figuring out how to price a coding plan without hemorrhaging money. Selling tokens dirt cheap while leaving the door wide open to third-party harnesses looks nice to users, but it's a trap — the same trap Anthropic just walked out of. The deeper problem: if users burn their attention on low-quality agent harnesses, highly unstable and slow inference services, and models downgraded to cut costs, only to find they still can't get anything done — that's not a healthy cycle for user experience or retention. 4. On MiMo Token Plan — it supports third-party harnesses, billed by token quota, same logic as Claude's newly launched extra usage packages. Because what we're going for is long-term stable delivery of high-quality models and services — not getting you to impulse-pay and then abandon ship. The bigger picture: global compute capacity can't keep up with the token demand agents are creating. The real way forward isn't cheaper tokens — it's co-evolution. "More token-efficient agent harnesses" × "more powerful and efficient models." Anthropic's move, whether they intended it or not, is pushing the entire ecosystem — open source and closed source alike — in that direction. That's probably a good thing. The Agent era doesn't belong to whoever burns the most compute. It belongs to whoever uses it wisely.
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edwin
edwin@binboot1·
@dotey 小米的模型最垃圾,别在这里出丑了!
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宝玉
宝玉@dotey·
小米 MiMo 团队负责人罗福莉: 全球算力跟不上 Agent 时代的 Token 消耗,出路不是更便宜的 Token,而是更省 Token 的框架和更高效的模型共同进化。 一个技术细节: OpenClaw 的上下文管理做得非常糟糕。一个用户请求会触发多轮低价值的工具调用,每次都带着超过 10 万 Token 的长上下文窗口,实际请求次数是 Claude Code 自身框架的好几倍。换算成 API 价格,真实成本可能是订阅价的几十倍。 罗福莉提了两个观点: 第一,短期阵痛反而是好事。第三方框架被迫走 API 付费后,成本压力会倒逼它们改进上下文管理、提高 prompt 缓存命中率、减少无效 Token 消耗。 第二,呼吁其他大模型公司不要在没想清楚定价模型之前盲目打价格战。低价卖 Token 的同时对第三方框架大开门户,看着对用户友好,实际是个陷阱,Anthropic 刚从这个坑里爬出来。
Fuli Luo@_LuoFuli

Two days ago, Anthropic cut off third-party harnesses from using Claude subscriptions — not surprising. Three days ago, MiMo launched its Token Plan — a design I spent real time on, and what I believe is a serious attempt at getting compute allocation and agent harness development right. Putting these two things together, some thoughts: 1. Claude Code's subscription is a beautifully designed system for balanced compute allocation. My guess — it doesn't make money, possibly bleeds it, unless their API margins are 10-20x, which I doubt. I can't rigorously calculate the losses from third-party harnesses plugging in, but I've looked at OpenClaw's context management up close — it's bad. Within a single user query, it fires off rounds of low-value tool calls as separate API requests, each carrying a long context window (often >100K tokens) — wasteful even with cache hits, and in extreme cases driving up cache miss rates for other queries. The actual request count per query ends up several times higher than Claude Code's own framework. Translated to API pricing, the real cost is probably tens of times the subscription price. That's not a gap — that's a crater. 2. Third-party harnesses like OpenClaw/OpenCode can still call Claude via API — they just can't ride on subscriptions anymore. Short term, these agent users will feel the pain, costs jumping easily tens of times. But that pressure is exactly what pushes these harnesses to improve context management, maximize prompt cache hit rates to reuse processed context, cut wasteful token burn. Pain eventually converts to engineering discipline. 3. I'd urge LLM companies not to blindly race to the bottom on pricing before figuring out how to price a coding plan without hemorrhaging money. Selling tokens dirt cheap while leaving the door wide open to third-party harnesses looks nice to users, but it's a trap — the same trap Anthropic just walked out of. The deeper problem: if users burn their attention on low-quality agent harnesses, highly unstable and slow inference services, and models downgraded to cut costs, only to find they still can't get anything done — that's not a healthy cycle for user experience or retention. 4. On MiMo Token Plan — it supports third-party harnesses, billed by token quota, same logic as Claude's newly launched extra usage packages. Because what we're going for is long-term stable delivery of high-quality models and services — not getting you to impulse-pay and then abandon ship. The bigger picture: global compute capacity can't keep up with the token demand agents are creating. The real way forward isn't cheaper tokens — it's co-evolution. "More token-efficient agent harnesses" × "more powerful and efficient models." Anthropic's move, whether they intended it or not, is pushing the entire ecosystem — open source and closed source alike — in that direction. That's probably a good thing. The Agent era doesn't belong to whoever burns the most compute. It belongs to whoever uses it wisely.

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edwin
edwin@binboot1·
@Kenntnis22 中国基本上网全覆盖了,星链的场景在中国之前用的是通讯无人机
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Iggie🚁
Iggie🚁@Kenntnis22·
越南已允许使用星链,中国还是无法使用星链的9个国家之一。
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Lonely
Lonely@Lonely__MH·
🔥号外!Claude 账号终于又能批量注册了! 感谢 AI 开发者 @aehyok 分享的最新干货!实测通过 Cloudflare + 接码平台,可彻底绕过 Claude 邮箱风控。 作者亲测有效,目前稳定性尚可,想批量囤号的抓紧!
AI少年@aehyok

x.com/i/article/2040…

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