安替, Globus, Global Research. A veteran journalist on International Affairs, Harvard Nieman Fellow '08, TEDGlobal Speaker.

Joined May 2007
Michael Anti retweeted
deepinfer 开源还是猛啊, 这两天老看到一些推理厂, 在给 deepseek-V4.1-flash 提速降价。
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在等待今晚8点。
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Michael Anti retweeted
An opinion piece published by two Columbia University students questioning the “Cornell 7” case has sparked an uproar on campus—reigniting debates around free speech at elite universities. on.wsj.com/4ic0sbp
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Michael Anti retweeted
Replying to @mranti
持械入宋的剧本还可以,但是制作来说谈不上顶级,现在制作顶级的我认为是 “被裁掉的女孩” 或 “NOVA:新星”,已经和真人演出相差不大了。 NOVA太惊艳了
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Michael Anti retweeted
Wake up. Every profession deemed white-collar, the middle class dream, is about to be decimated by AI, at a much faster pace than anticipated, with monstrous social consequences.
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Michael Anti retweeted
A private company in southern China’s Guangxi region issued nearly 8.8 billion yuan in invoices through a fictitious pig-trading scheme that caused major losses for local state-owned enterprises. caixinglobal.com/2026-10-22/…
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Michael Anti retweeted
In December 1958 the Polish embassy in Beijing refused to let the sparrow killers onto its grounds, so the Chinese surrounded it with drummers and kept the drums going for two days until every bird sheltering in the garden had dropped dead from the air, and the diplomats cleared them up with shovels. That is how thorough it was. The campaign had been running since the spring. Every village, school and factory was turned out with gongs, pans and firecrackers to keep the sparrows flying until their hearts gave out. Nests were torn from eaves, eggs smashed, chicks killed, and children went through the fields with slingshots and were paid by the bird. The dead came in by the basket, strung on wires, piled on carts, and the totals went up the chain as a harvest. Something close to two billion sparrows in two years. The embassy garden was the last place in the capital with birdsong in it, and the drums got that too. A zoologist called Zhu Xi had told them before it started that a king had tried this and lost. Frederick the Great of Prussia had put a bounty on sparrows in the 1740s to save his grain and his cherries, and the sparrows went, and the caterpillars they had been eating stripped his orchards to the stalk, and the king cancelled the bounty and paid to have sparrows brought back from neighbouring states and let loose. The whole episode was in the library. The ministry had a figure for what a sparrow ate and no figure for what it did, and a man with the second figure was told to sit down. The locusts arrived on schedule. Then the grain borers. A sparrow takes a few grains from a field in autumn and feeds its chicks nothing but insects all spring, and with the sparrows gone the insects had the rice and the wheat to themselves. The counties with the most sparrows to lose saw their grain fall the furthest, and the rice and wheat that had been holding the country up went down together. That was 1959, and the state took its grain quota anyway, on the harvest that had been reported. What was left in the villages was not enough, and the famine that followed over the next three years is the largest in human history: tens of millions dead, the estimates running from fifteen million to forty-five, whole counties in Anhui and Sichuan where the living could not bury the dead. The sparrows were one cause among several and the economists who have gone back to the county records put the bird's share at something over two million people, with another four hundred thousand never born. Two million, from a campaign against a thing that weighs an ounce. By 1960 the ornithologist Tso-hsin Cheng, who had been cutting open dead sparrows and counting the insects in their stomachs, got the bird struck off the list and bed bugs put in its place. There were almost no sparrows left in China to pardon. So the government did what Prussia had done two centuries before: it bought a quarter of a million sparrows from the Soviet Union and shipped them east in crates, to be released into a country that had drummed every one of their relatives out of the sky. The animal that does the invisible job is always the one on the ledger as a cost. Take the sheep off a chalk down and the orchids are under scrub in twenty years. Fence the cattle off a Welsh hill and the bracken takes it. Empty a savannah of its herds and the grass goes to fire. All of it written down, all of it in the library, all of it available to the next committee with a figure for what a cow eats. Beijing paid Moscow for the birds in hard currency. The men who had said so in 1958 were still not allowed to say so in 1960.
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Michael Anti retweeted
纽时采访了陶哲轩,写了一篇质量极高的稿子,谈论当代数学家的存在主义危机,尤其是他们在面对AI的这几年里,相处态度从好奇到兴奋,从兴奋到愤怒,从愤怒到无力,最后陷入集体迷茫的整个过程,版本变化太快了。 陶哲轩曾是数学家群体里对AI最为友好的一位,如果你们还记得,每次OpenAI发布新模型,他都会率先出来站台,分享他和新一代ChatGPT又一起合作取得了怎样的进展,那时他是真的热爱AI,相信这项技术能够为数学带来无限可能。 而OpenAI也很懂事,数学是一门相对纯粹的科学,和它绑定能为AI带来相当份量的声誉加成,所以也一直对陶哲轩等少数「VIP客户」敞开模型供应,甚至当陶哲轩所在的数学研究所被削减经费的期间,OpenAI还掏了几万美金赞助,帮忙渡过难关。 事情是从什么时候开始变质的呢? 10月6号,OpenAI一次性公布了350多项「科研」成果,几乎遍及数学的所有分支,包括代数、数论、理论计算机科学、数理逻辑、拓扑学等等,陶哲轩说,他看到了一枚炸弹的投下,这是开战的信号,以及OpenAI对他乃至整个数学界的背叛。 作为和OpenAI有着密切关系的数学家以及合作者,陶哲轩提前一个月就知道了这批成果的发布计划,他反对了,然而反对无效,于是在OpenAI推进工作的同时,他也写好了一份声明决定同期公开,也就是后来发在自己博客上的那篇檄文,和24个菲尔兹奖得主共同署名,批评OpenAI是在伤害数学这个学科。 那天有10万人点进了他的博客,可能比过去几年的流量都要高。 虽然陶哲轩开始改口把AI产出的那些证明称作「Toxic Waste」(有毒的废料),不过与其说他是在反对AI,不如说他认为OpenAI这样的AI公司过于急功近利了,为了表现出模型的强大,不惜摧毁数学这个行业的基石。 作为理论数学的代表人物,陶哲轩年少成名,8岁时SAT数学考了760分,24岁就当上了加州大学洛杉矶分校的终身教授,基于「过来人」的经验,深知年轻数学家需要的是什么,AI提供工具,那没毛病,然而直接代为上台发表成果,就是在牺牲这一代数学家的未来了,「像是被剧透后,你就再也无法体验从头推理剧情的乐趣了」。 陶哲轩带的学生也已经懵逼了,有人花了多年时间试图解决的问题,正好在OpenAI这次批量化成果的射程以内,在看完AI写的充满难懂术语的论文之后,他有很多疑问,却找不到可以和「作者」交谈论证的机会。 这不是数学界习惯的程序,按照以前的做法,有人发表了突破性的论文,然后就会有学术会议被组织起来,作者会出席分享更多的思考,然后与会者一起碰撞交流,以一种社会化的方式,缓慢但有意的推动数学前进。 但OpenAI不是这么做的,它像是倒垃圾一样,把几百篇手稿灌进了GitHub,要知道,这不是通俗小说,是看每一句话都要付出巨大脑力消耗的前沿论文,光是评审这批「成果」,搞不好都要花掉整个数学界好几年的时间。 归根结底,软件和数学,是不同的。 软件属于应用科学,规模化的游戏规则再正常不过了,在OpenAI看来,自己明明是在做贡献,自费烧了天量的算力,给数学界献上前所未有的馈赠,怎么就得不到想要的感恩呢? 但数学本质上是实验科学,「你坐在桌子前,拿起纸笔,就可以试着证明一些东西」,而OpenAI解决纳维—斯托克斯问题的方法,是1万个无限Token的智能体花了3天时间写完165页的证明,成本可能价值几百万美金,这是数学家们根本负担不起的能力。 这跟当年AlphaGo打遍天下围棋大师也不太一样,很多人会说,AI在下围棋这件事情上碾压人类,也没有消灭围棋这项竞技啊,反而有更多的棋手加入进来,职业棋手的梯队也还在稳步扩增,怎么数学家就这么矫情呢? 在陶哲轩看来,数学要复杂得多,如果人类无法理解AI所做的那些证明,那么光有技惊四座的结果,是无用的,他自己,以及他能找到的专家,都没办法完全读懂OpenAI破解纳维—斯托克斯问题的论文,这种暴力穷举的做法,让双方再也没有合作的希望了。 陶哲轩承认,随着模型能力的一日千里,数学界一定是要转型的,但自我反思,和被枪口抵着反思,是两码事,他现在去见学生的时候,专业交流的占比都很少了,大多数时候,他感觉更像是在做心理疏导,要让年轻的数学家重振信心,相信AI不会让自己的人生毫无意义。 source:Why One of the World’s Greatest Mathematicians Is on a ‘War Footing’
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今晚Codex充值卡要过期,所以今天让它/goal干重活,挖掘资料,挖掘了一会才几十个,我说你今天不上1000、2000你别收工,它悻悻然答应了下来。
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Michael Anti retweeted
Alright who the fuck made this 🤣
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Michael Anti retweeted
Rory Kinnear's prime minister in Netflix's The Diplomat has resigned midway through the fourth series because Britain having the same leader for four years was deemed too unrealistic. 🔗: telegraph.co.uk/news/2026/10…
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Michael Anti retweeted
能做出这个效果我真出乎意料!Deepseek也真是吊炸天,纯代码做成这个效果,真牛,牛,牛 我借用了老刘的提示词,@leo_xiaolei ,老刘用的是opus,我用的是deepseek v4.1 flash 1017,在qdor中制作,虽然比opus差了点,但是性价比啊朋友们。 👇👇👇看看效果来,我把老刘提示词也放下面去,你们自己试试,不用修改!
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WorkBuddy2API Panel 也停更了。。。。 另疑似收到腾讯的律师函? 虽然这个律师函大概率是假的,但workbuddy反代这条路估计要被堵死了
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Michael Anti retweeted
开源!开源!还是他妈的开源!
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4
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Michael Anti retweeted
DeepSeek 1017 + DeepInfer 我优化了一晚上,单流解码已经可以达到 56 TPS 我看看还能不能再快一点,DeepInfer 这个推理引擎非常有潜力呀👍
DeepInfer 支持懒猫AI算力舱这种 SM110 的机器,基本上5分钟就可以重新编译算子适配 我已经跑起来了,看看 DeepInfer 推理的 DeepSeek V4.1 Flash 1017 是否会比 TensorFold 优化的更快?
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Michael Anti retweeted
Deepseek 1017? Of course it is. Makes me want to go duck hunting, but these are just geese not ducks 🤷‍♂️ 1 turn, Deepseek harness
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Michael Anti retweeted
Pi 加上 DeepSeek,基本上可以实现任何垂直化的个人代理。剩下的事情就是去寻找那些真正垂直代理存在价值的部分。 其实说白了,很大一部分的价值就存在于人的刚需,并且大模型会拒绝回答的那一部分空间。无审查的 DeepSeek 在这方面的应用当中,拥有绝对的优势。
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我已经爬了全世界所有大学、研究院、机构的所有教授研究员postdoc等等faculty名单,包括本科、硕士、博士学位,并且将公布第一版本的college rank全球大学榜单。 这个榜单原则非常简单:如果A是从X大学PhD毕业,并且拿到了Y大学教职,那么证明Y大学认可X大学博士毕业生的重要性。 在这个全球job market市场里,这个排名的方法跟第一个版本的google PageRank算法完全一样,只要加权重要度即可。 这样全世界的大学很容易按照这个非常sparse的matrix计算权重之和来计算,当然本科、master、phd、postdoc权重比例各不相同,但大原则是一样的: 如果X学校的毕业生更容易去Y大学当教授,而Y大学毕业生很难去X大学当教授,那么X大学一定比Y大学好。 另外我还会加权头部顶级学术奖项,包括数学三大奖、诺贝尔奖、图灵奖、IEEE最有含金量的三大奖(IEEE Medal of Honor、IEEE Edison Medal、IEEE Milestone)进行额外加分。 我相信,这是人类有史以来最有含金量的大学排名。
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OpenCode也是每日有额度,稍微大点的项目没法做。Workbuddy才是真AI共产主义,普惠,每天都送100计费(≈6元多),可积累。
无论隐私和限速策略,opencode和workbuddy能拿出这么多免费quota给刚接触AI Agent的学生,让学生群体不用花很多钱也能用上次旗舰水平的模型来学习和工作,我认为这就是最大的善,这就是开粥厂,这就是菩萨心肠,这就是共产主义初级阶段。
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虽然Qoder国内版这几天免费用Deepseek V4.1 Flash 1017(什么破名字),但我反代用了一下,做了一个翻译项目,很快就到每天额度封顶了,其并发反应速度和数量,都不如Workbuddy的Deepseek模型。腾讯还是比阿里更亲民。
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