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Focus on 1) Technology and Dividend Blended 2) Drawdown protection. Check highlights and articles. No investment advice. Now building ModelDock

Iceland
Joined October 2011
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What each budget can buy? The Pareto front of local AI right now: modeldock.net/insights/local…
在Strata的加持下,本地单机运行Qwen Flash Next的硬件配置最佳价值表完全翻转, 曾经很有竞争力的Mac M5M M5U等全线落败, 而N系顶卡+大内存路线实现了压倒性的胜利 3090从人人喊打的矿卡,开始一卡难求,4090,5090更是炙手可热。 就连5060 X2,3060X2,都可以战未来了。
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ChatGPT 自己查数据总结的, OpenAI未来几年收入(绿黄橙)和支出(蓝线)的比较图。 可以看到,只有在高增速(绿)一种情形下,OpenAI才有可能在2030前达到收支平衡。 中间几年的缺额从哪里来呢?从股市和债市融资来。
我认为OAI已经是期货死人了。 巨额commitment + 越来越高的融资价格 + 日渐收窄的发展空间。 OAI:我看中大众AI的长远发展。 GOOG/META/字节:巧了,更巧的是我们还真有用户数据。
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我认为OAI已经是期货死人了。 巨额commitment + 越来越高的融资价格 + 日渐收窄的发展空间。 OAI:我看中大众AI的长远发展。 GOOG/META/字节:巧了,更巧的是我们还真有用户数据。
现在已经到了 200 刀宁愿给 Google 也不给 OpenAI 到时候了
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Indonesia, where Dax revealed the location of those racks are provoking. Could it be that in the past year/ months, China CSPs set up shell companies in SEA to run their training/ inference, only to find that they only need a fraction of the setup now as they 1) drop training 2) run DeepSeek/ streamable flash models? Suddenly there is a -80% reduction in metal demand in SEA?
the reason there's no clarity with gpu markets is because it's completely chaotic right now lot of effectively fake listings, many layers of brokers etc. but because it's crazy, most people looking for GPUs aren't very good at it. unless they have a strong network they're not going to find out that 3 racks in indonesia are idle for the next 3 months it's a good time to be someone who can hustle and find a deal
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Bold guess on why the grey market brokers exists is that you cannot trade those capacity in the open exchanges without revealing who is the actual seller which triggers legal and commercial alarms.
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是我的错觉吗? 我感觉muse这种工具一点都不好用,比Opus Claude Code差太远了。 除了对用户体验比较重视以外,实际工作能力很差,基本一点小事都要反复检查纠正。
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放到历史长河中看,面对AI威胁的一般技术人员,其实很像面对纺织机乃至自动织机威胁的纺织工人。 纺织,尤其是复杂花纹的纺织,是古代社会技术含量最高、报酬最高的生产活动之一。古代社会对纺织,尤其是高档纺织,都有统一的管理,给予从业者极高的报酬和社会优待。 甚至程序控制的源头,就是编织。1804年,提花织机获得专利,它用穿孔卡控制花纹,后来启发了巴贝奇的分析机,穿孔卡也一脉相承地成为早期计算机的程序载体。到了20世纪60年代,阿波罗登月计算机的程序,更是由女工把铜线穿过磁芯,一位一位织进存储器的。 古代纺织工人没有赢过织机,当代纺织工人没有赢过自动织机。 卢德主义者并不是通常以为的贫民,他们是那个时代的科技工作者。 今天呢? 哀叹一个时代的逝去是毫无意义的,该消亡的必然会消亡。如果一个一般技术工人,只懂得怎么把花纹织得更精巧、速度更快,这个时代将很残酷。但是如果她懂得市场,懂得花纹和物料,懂得怎么撬动买者的钱包,甚至怎么控制其欲望,她就会真正成为织机的主人。 图1: 提花织机与穿孔卡(1804年专利) 图2: 阿波罗制导计算机的磁芯绳存储器(手工织入的软件) 图3: IBM穿孔卡(早期计算机的程序与数据载体)
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某种意义上,谷歌和腾讯的危,或者机,是非常相似的。 一个人的真实性,在未来社会,实际上是越来越难证明的。 在未来世界,你说你是Neo,可是你怎么证明自己不是Smith探员呢? 谷歌(的一部分)和腾讯今天的生意,如果归到本质上看,在于对东西方人类数字身份证的垄断生意。 而且这种垄断,是自然形成的,不是法规或者资源赋予的,来源于非常特殊的历史过程,基本上已经不可复制了,也不会再有第三第四家了。 这是历史上最大的入口生意。这两家的数字身份证,其重要性可能已经不次于一般国家的政治身份证。 (苹果也有这个性质,但是规模比上两者小的多)。 谷歌的数字身份证生意,最初来源于Gmail,后来被安卓设备,谷歌搜索,谷歌Oauth等产品不断加强。 QQ- 微信 - 微信支付,也是类似的过程。 这种个人数字身份证,随着AI世界的进一步演进,将会越来越重要。 这里就构成了一个机和一个危。 机会就是,我们每个人,都有非常迫切的需求,让AI帮我们处理我们在邮箱里,在数字生活里的事务,甚至觉得Gmail,微信的拥有者,是让我们跨入数字孪生的阻碍。 然而危险就是机会的另一面,如果Agent可以代理我们的数字身份,那么在数字世界中,我们又是谁呢? 今天我们找回各种账号,甚至政府信息,使用的正是Gmail,微信,如果这两个被人控制了呢? 会不会出现,哎呀,这下我成替身了?这样的事故。 更可怕的是,会不会出现Smith探员为主导的数字世界秩序?
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一个人需要有多自我中心 才能说出,你们的需求没有我的需求重要,这样的逆天言论的呢? 论自大,还得是美国人。
Sam Altman says its bad that everyone's personal computers are using the world's limited supply of memory chips. "It’s quite terrible to have everybody have a bunch of the world’s limited supply of DRAMs sitting in their own computer, and being used 5% of the time. Like, you want maximum utilization."
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In my experience, Google AI has finally caught up with the frontier, plus it uses Google search for facts. Now I often find myself used up my Gemini/antigravity quota quicker than Codex/chatGPT. Of course Opus 5.5 is still best, but Argon got its edge.
our team uses gemini quite a bit now whenever we have a tricky architectural problem, complex system design questions, or need to simplify something we ask for a gemini subagent it's pretty good here. i don't see this talked about much
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“We did it!” “More tax to people!”
🔴 🇫🇷 ALERTE INFO - DU JAMAIS VU: UNE TAXE SUR CHAQUE GIGAOCTET INTERNET VOTÉE À L’ASSEMBLÉE Les députés ont adopté un amendement prévoyant de taxer les producteurs de données numériques à hauteur de 5,5 centimes par Go transmis. 💰 Objectif affiché : jusqu’à 10 milliards d’euros par an. Netflix, YouTube, cloud, jeux dématérialisés… les grands services numériques pourraient être concernés, avec un risque de répercussion sur les prix pour les consommateurs. 📌 Source : Assemblée nationale #France #Budget2027
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I have suspected this widespread waste since Strata is out, But it is good to have the suspicion confirmed by Niko. Tens times cost reduction/ or token production expansion imminent, depending on the lenses one uses.
Simply not true. I recently optimized a mid sized data center. Their performances went up by more than 600% (around 830% on ppts and 480% on throughput) on just few iterations. Data centers at their current stage are wasting the most DRAM in the world…
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Google is going to be the biggest faucet business, or at least one of the very few.
Reddit call was absolutely fascinating. Everyone should listen to it as a bellwether for where the internet is going - AI Mode is increasingly default Google experience - AI Mode provides rich info and data in line, less incentive to leave search - AI Mose incentivizes dialog, Google wants to keep you engaged to serve more ads at each turn - Google will milk search for as much revenue as possible as they transition from a search company to a cloud service and chip company - As traffic from humans becomes more scarce this will put Google in an increasingly adversarial position to the rest of the internet - This is a massive headwind to all media type companies who are not destinations - This is a massive headwind to all content-driven go-to-market motions especially in the SMB. You have seen companies like HubSpot and Monday.com get crushed by this funnel collapse We are entering the end game - a knife fight for the remaining and dwindling volume of human traffic on the internet
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Put in perspective, a few years ago, 30+% growth in cloud, which all what the market cares back then, was considered "HIGH GROWTH" Now, we see business doubling every year, literally sellers cannot keep up with demand. "DOOM, BRACE FOR IMPACT".
I never would've believed at start of the year that Google Cloud could surpass a $120B ARR while growing over 100% and $GOOGL would still sell off after earnings at ~20x earnings. But sure let's focus on the Search business.
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Absolutely wild Google selling off while this is happening. GCP is a clear winner in the cloud compute space, which is the only thing matters for the AI age. Everything else is pure noise.
Wow, GCP! Google's cloud business could be larger than Azure's compute business next quarter if growth rates sustain.
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很多人论证GPU闲置的方式,是计算总利用率。 结论不讨论,这个方法肯定是有问题的。 没有人一天24小时看电视,打游戏,开车, 所以,家用电视,游戏显卡,家用车的的总利用率都不超过20%, 这些东西都要讨论峰值利用率。
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随着Strata的流行,5080, R9700, B70都开始迅速断货。 感觉中高端消费级显卡,很快要成为一个历史名词了。
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其实目前AI的能力,如果不怕死的话, 像素级复制一个程序,已经是一个纯粹的AI体力活。 这种是典型的过程可控,目标清晰,迭代反馈容易的事情,甚至不需要人的过多干预。
用Claude Code 直接开发 Unreal Engine 游戏,整个原型都不需要打开 UE 编辑器。太香了吧。 2026 年还没结束,Steam 已经上架约 2.2 万款游戏,超过 2025 全年的约 2.1 万款。
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