Joey invests

249 posts

Joey invests

Joey invests

@Joeyet3

Big Tech PM | A value investor's lens on AI | Hunting for moats, 2+ yr horizon | No narratives, just fundamentals

New York Katılım Eylül 2018
402 Takip Edilen113 Takipçiler
Joey invests
Joey invests@Joeyet3·
@DashHuang 很高兴看到我非常喜欢的游戏公司,分享ai在游戏行业的应用,
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Dash
Dash@DashHuang·
今天在 TapTap 开发者沙龙的现场,有观众问「心动是一家游戏公司,为什么要做一个什么都能干的通用 Agent ?」 我的回答是,未来别说游戏公司,任何一个公司、一个个人、一个学生,都可以做一个自己的通用 Agent。因为软件行业已经被彻底颠覆了,只是很多人还没有意识到。
Dash@DashHuang

向大家介绍 Cindy,我们创作的一款开源 AI Agent 客户端。她有很多有趣的地方,未来几天我会花时间来和大家一一介绍。 但今天最想说的,不是她有多强大——相反,她还有很多不完善的地方,等着我们持续去改进。Cindy 本身就是一款纯 Vibe 出来的作品,对我们来说就是一场面向 AI Native 开发的大型实验。经历了最近几周的开发实践,我们现在已经对如何让她变得更好充满信心。 github.com/makecindy/cindy

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revoAIution
revoAIution@revoAIution·
Dug into every possible optical linkage for $SIVE and MI500 after AMD's own executive confirmed optics will be used. MI500 launches 2027, and AMD confirmed it uses both copper and optical connectivity. Here's is what I found from most to least likely. Most likely = $GFS. TechPowerUp reported back in April that AMD is returning to $GFS specifically for CPO manufacturing on MI500 by name. $GFS's own SCALE deck lists AMD as an OCI MSA founding member alongside $AVGO, $NVDA, Meta, Microsoft, and OpenAI. The official June 2 $SIVE and $GFS press release confirms $SIVE laser arrays are integrated into reference designs on $GFS's silicon photonics platform, available in the SCALE platform for CPO and linear pluggable optics. No other laser company is named anywhere in that official announcement. Second = Ayar Labs. AMD directly invested in Ayar Labs' Series E funding round. Ayar Labs joined Nvidia's NVLink Fusion ecosystem in June and already demonstrated a full CPO scale-up rack with Wiwynn at OFC in March. $SIVE has been Ayar Labs' confirmed laser supplier since 2022. No confirmation this specific relationship is tied to MI500 by name yet though. Least likely, Lightmatter. Also joined NVLink Fusion, making them a direct competitor to Ayar Labs in that same ecosystem slot. One unverified source claims AMD backing here too. This wouldn't touch $SIVE at all, so would be the worst outcome. Lightmatter builds its own proprietary laser in-house. Other real players in this space with no confirmed AMD connection. Celestial AI, now owned by Marvell. Intel Photonics. Nubis, Xscape Photonics, Ranovus, Scintil. $LITE and $COHR, both with confirmed $2 billion investments from Nvidia specifically, not AMD. Recap. Most likely, $GFS, $SIVE is the confirmed reference laser. Second, Ayar Labs, $SIVE is the only laser supplier. Least likely, Lightmatter, no $SIVE laser involved, bad outcome for the thesis if this is the one that wins.
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hiroyuki
hiroyuki@hiroyuki_life·
35歳。 実績は何もないけど、 パステルを描くことだけは続けられてる。
hiroyuki tweet mediahiroyuki tweet mediahiroyuki tweet mediahiroyuki tweet media
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Sarah Chieng
Sarah Chieng@MilksandMatcha·
the new age of 'personalized shopping' I made a clone of aritzia where I'm the model on every piece of clothing Buillt with gpt-5.6-sol standard...but just you wait for gpt-5.6-sol ultrafast (750 tok/s) running on @cerebras coming soon 👀
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jason
jason@jxnlco·
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bubble boi
bubble boi@bubbleboi·
AMD is teaming up with retarded scammers to get them to pump their stock. A sad fall for a company that at one point was very formidable. Now they must resort to using an absolute fucking loser. 操你祖宗十八代
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Joey invests
Joey invests@Joeyet3·
@UncleJAI @tuturetom 没错 从50条版本,到100条版本,再到最后我找到的原文。都是完整整理的,这张图主要是概要和分享使用
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Uncle J
Uncle J@UncleJAI·
@tuturetom 这个页面已经把“内容改了,整页重排”的返工省下来了。梁文锋这种信息密度高的材料,下一步最好把来源和页级修改记录一起留下,否则审美升级了,事实链反而容易丢。
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Tom Huang
Tom Huang@tuturetom·
太酷了
Joey invests@Joeyet3

@tuturetom 已经使用Codex 打开 Codex Slides生成了一张梁文锋投资会议的内容,真的很棒。比起手搓的审美更好,也因为可以与ChatGPT联动所以更高效。这就是未来🤠🤠🤠🤠

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全球货币 Global Money
梁文锋4小时投资会讲话流出。早知道梁文锋玩神秘感,但没想到水平如此之低。Kimi创始人杨植麟推出K3之后,梁文锋马上感觉到压力,于是有点胡言乱语了。梁文锋梁的观点之所以吸引人,是因为它迎合了某种“后发制人”的叙事心理:即用中国庞大的工程廉价劳动力(系统性便宜)、极具情怀的团队(愿景驱动),以及对底层芯片的乐观预期,去完成对西方顶尖科技巨头的弯道超车。 梁文锋的荒谬之处在于:1.用战术上的局部优势(如极致的数据标注、算法优化),去否定战略上的全局壁垒(芯片生态、计算范式、物理世界多模态理解);2.割裂了“商业正循环”与“技术突破”的关系。 否定商业化暴利、放弃C端流量,却又幻想有足够的资源持续注入AGI的无底洞。3.将复杂的系统工程,简化为“只要团队稳住+芯片突破,AGI就一定会成”的线性因果。 致命悖论一:技术路线与生态的极度简化(第1、6、10、12条)。“英伟达生态一年废,贵一两倍无所谓;五年内解决产能”。荒谬点:严重低估CUDA生态壁垒与硬件经济学。CUDA生态不是单纯的显卡算力,而是十几年积累的底层软件栈、算子库和开发者习惯。认为国产卡只要硬件算力跟上就能在“一年内平替生态”,完全脱离了软件工程的现实。“贵一两倍无所谓”违背了第14条“成本优势”的初衷。硬件贵一两倍意味着数据中心CAPEX(资本支出)和OPEX(运营成本)成倍飙升。 致命悖论二:商业闭环与经济学规律的割裂(第2、5、8、11、14条)。“最坏情况技术冻结,光卖API也够撑起上市公司;谁想靠AI暴利谁就死”。荒谬点:忽略API的极度同质化与价格战陷阱。如果技术真的“冻结”了,基模的API服务将彻底变成大宗商品。各大云厂商会把API价格压到边际成本线以下,甚至作为云服务的附赠品。在没有高毛利(暴利)维持研发循环的情况下,仅靠几厘钱一个Token的低毛利API,根本不可能支撑起每年数以亿计的研发和硬件投入。 致命悖论三:研发模式与“技术突破”的幻想主义(第 3、4、9、13、15条)。“持续学习要是做出来了,通用智能就很简单,让AI自己帮自己研究”荒谬点:把最难的“神圣之杯”假想为起点,陷入递归循环逻辑。神经网络的“持续学习”长期受困于“灾难性遗忘”和塑料性与稳定性矛盾。这是底层架构级别的难题。梁文锋的逻辑是:“只要解决了持续学习,AGI就简单了。”这无异于说:“只要解决了永动机,能源问题就简单了。”把最核心的未解难题当成必然发生的推论前提,属于典型的技术幻想。 近期,DeepSeek完成了公司首次外部股权融资,此次募资总额约510亿元。根据近期三家A股上市公司披露的间接投资DeepSeek公告,推测DeepSeek的估值接近3250亿元至3509亿元的区间。在融资期间,DeepSeek创始人梁文锋和投资人进行了一场近4小时的交流会。梁文锋较为完整地向投资人解释了这家公司到底想成为一家什么样的企业,包括愿景、开源与商业化的矛盾、未来AGI的技术路线、算力瓶颈等等。 全球货币(@GlobalMoney)获悉,DeepSeek此次融资,对于合作方进行了严格筛选,更看重“长期利益一致”。梁文锋本人出资约200亿元,为本轮最大单一出资方;腾讯出资约100亿元,宁德时代体系约50亿元,网易、京东、Monolith砺思资本、IDG资本分别约30亿元,正心谷投资、拾象科技分别约15亿元,国家人工智能产业投资基金约9.8亿元。DeepSeek以邀请制的方式向少数机构开放了融资。 梁文峰四小时交流会内容: 1,英伟达那套生态一年内就废了,华为的卡一年后完全能平替英伟达,贵一倍两倍都无所谓。 2,谁想着靠AI暴利谁就死,拿得少的人一定打败拿得多的人,OpenAI就是因为想独占才被围攻。 3,奇点不是什么爆炸,是个漫长的温水煮青蛙过程,而且顺序不能乱——先解决持续学习,再到自我迭代,最后才做机器人。 4,Ai技术路线是这样:语言模型 → 思维链(CoT) → Agent → 持续学习 → 智能奇点(自我迭代) → 具身智能,现在处于Agent走一半,持续学习是下一个必须跨过去的坎,跨过去才能进入AI自己迭代自己的奇点阶段。 5,克制是核心战略,主动放弃C端流量争夺战,不做超级App,短期商业化只是保底,全部资源主线聚焦AGI。 6,中美AI差距就一年,但国内只用了人家二十分之一的算力,人才根本不缺,差的就是卡。 7,公司一半的核心研究员都在标数据,这就是现阶段最重要的事,高端数据瓶颈不是钱,是时间。 8,最坏情况技术冻结了,光卖API也够撑起一家上市公司,商业化根本不用愁。 9,不加班、没KPI、没组织架构,全靠愿景驱动,因为做研究就得松弛,逼太紧反而没用。 10,国产芯片产能问题今年明年后年都卡,但五年后肯定解决了。 11,国内几十家做基模的公司太多了,最后就剩三四家,而且谁也别想有暴利。 12,视频生成、3D、世界模型这些东西跟智能上限没关系,纯粹是商业噱头,坚决不做。 13,员工期权拿够、团队稳住,AGI(通用人工智能)就一定能成,其他全是小事,最多晚个一年半载。 14,中国AI最终拼的是“系统性便宜”,就跟制造业一样,成本优势是结构性的。 15,持续学习要是先做出来了,通用智能就很简单,让AI自己帮自己研究就行。
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Joey invests
Joey invests@Joeyet3·
@tuturetom 已经使用Codex 打开 Codex Slides生成了一张梁文锋投资会议的内容,真的很棒。比起手搓的审美更好,也因为可以与ChatGPT联动所以更高效。这就是未来🤠🤠🤠🤠
Joey invests tweet media
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Tom Huang
Tom Huang@tuturetom·
Codex Slides 正式开源!🚀 我们直接把 Codex 变成了 PPT 大师,让 Codex 真正拥有“可视化一切”的能力 🔥 以后你不需要再到处找模板、不需要手动调版式、不需要把复杂资料一点点改成 PPT。 直接把 repo、PDF、研究文档、产品方案、甚至一堆乱七八糟的想法丢给 Codex,Codex Slides 会把它们变成漂亮、清晰、可编辑、可导出的 slides! 这次最大的突破是 image-to-slides: 让你的 Codex 用图片式生成,把复杂概念直接变成视觉表达,3~6 分钟级fast 模式生成顶尖水准 ppt。 内置数百套风格模板、场景和设计体系,支持深度搜索、大纲生成、配图、灵感参考,随时导出 pptx / pdf。 Codex 识别就能用,无需配置,可以直接在 Codex Browser 里打开操作。 这可能是目前最强的 Codex PPT 插件🔥🔥🔥
Open Design@OpenDesignHQ

Codex can now visualize anything. Introducing Codex Slides — an open-source, image-native deck plugin for Codex, from Open Design. Turn almost anything — repos, PDFs, research docs, or rough ideas — into clear, beautiful, editable slides inside Codex. Free and open-source. Available now. Demo⬇️

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Joey invests
Joey invests@Joeyet3·
基于梁文锋2026.5.20投资会内容整理: 第一章:把所有短期诱惑,转换成一个问题:它是否提高了最终目标的成功概率? 内容整理by ChatGPT,图片by Codex Slides @tuturetom thanks for your Good Job
Joey invests tweet media
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Joey invests
Joey invests@Joeyet3·
如果这是真的 那我将对谷歌非常担心
Max Anderson@MaxAnderson

As someone who has personally spent $500k / mo+ on Google Ads for years, I can tell you with certainty: This revenue growth in Search is artificial & extremely unhealthy for Google’s business long term Search volumes are declining as legacy search is being increasingly cannibalized by non-monetized LLM queries Google’s response? Manufacture revenue growth via short-sighted, highly extractive, customer-hostile tactics. I.e. charge advertisers more for lower quality clicks, including clicks they do not want and explicitly did not approve Google to charge them for A few examples to illustrate: For all of its history until recently, Google operated on a 2nd price auction model I.e. if you bid $5 CPC and the next highest bidder bids $1 CPC, Google charged you $1.01 for the click (one penny more than the 2nd highest bidder) rather than the $5 you bid This was a genius move by Google early on as it incentivizes advertisers to input their true maximum willingness to pay rather than trying to play the game of bidding low and constantly adjusting to try to stay just ahead of the next highest bidder while still not paying too much However recently, Google silently deprecated the 2nd price auction and began charging advertisers as much as their bid and budget caps allow, regardless of what anyone else is bidding It’s a short-sighted cash grab at the expense of the long term health of the advertiser ecosystem Making thing worse, Google also recently nerfed keyword targeting precision Google previously had precise keyword targeting settings that allowed advertisers pick individual search phrases to bid on, defined down to the character w/ exact match or phrase match targeting This was one of the core features that made search advertising magic, enabling advertisers to run extremely precise campaigns based on exactly what their target customer typed But now, even if you bid on a specific term or phrase using the strictest exact -match targeting settings, Google will show your ad across 1000’s of unrelated keywords, labeling them as as “exact match (close variant)” The definition of “close variant” means whatever they want it to and changes constantly. The result is advertisers get billed for clicks that are totally irrelevant to their business and that their targeting settings explicitly forbid Google from targeting. Google does it anyway and there’s no ability to turn this off So now exact match is broad match, and broad match is just meaningless spam This is all very bad for advertisers, but for Google, it allows them to show your ad and bill you for clicks across 1000x more searches that were previously going unmonetized (mainly because they’re garbage queries no one wants) This is how you grow revenue atop declining search volumes Lastly, and perhaps most egregiously, Google quietly stopped respecting budget caps by a factor of 2x. For example campaigns we’ve been running for years with $1000 daily budget caps suddenly began spending $2000+ per day And the extra spend is entirely on the garbage keywords Google arbitrarily throws in as “exact match (close variants)” which have no value to our business, but can’t be turned off Google offers no refunds nor any recourse for overspend or spend on keywords you explicitly did not target These are not the actions of a healthy business. These are the actions of company whose core business is in decline but desperately needs to pump quarterly earnings so Wall Street will continue to fund insane capex while hopefully looking through their rapidly deteriorating negative free cash flow Google operated a benevolent monopoly for the better part of 25 yrs Meaning the value Google captured from Search was but a small fraction of the value it created, and that spread produced a potential energy that justified expectations of high earnings growth far, far into the future This is now no longer the case At the alter of AI capex, Google is sacrificing the golden goose

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Joey invests
Joey invests@Joeyet3·
@MaxAnderson 如果你说的是真的,那我认为google现在的处境非常危险,已经到了需要做数据的阶段
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Max Anderson
Max Anderson@MaxAnderson·
As someone who has personally spent $500k / mo+ on Google Ads for years, I can tell you with certainty: This revenue growth in Search is artificial & extremely unhealthy for Google’s business long term Search volumes are declining as legacy search is being increasingly cannibalized by non-monetized LLM queries Google’s response? Manufacture revenue growth via short-sighted, highly extractive, customer-hostile tactics. I.e. charge advertisers more for lower quality clicks, including clicks they do not want and explicitly did not approve Google to charge them for A few examples to illustrate: For all of its history until recently, Google operated on a 2nd price auction model I.e. if you bid $5 CPC and the next highest bidder bids $1 CPC, Google charged you $1.01 for the click (one penny more than the 2nd highest bidder) rather than the $5 you bid This was a genius move by Google early on as it incentivizes advertisers to input their true maximum willingness to pay rather than trying to play the game of bidding low and constantly adjusting to try to stay just ahead of the next highest bidder while still not paying too much However recently, Google silently deprecated the 2nd price auction and began charging advertisers as much as their bid and budget caps allow, regardless of what anyone else is bidding It’s a short-sighted cash grab at the expense of the long term health of the advertiser ecosystem Making thing worse, Google also recently nerfed keyword targeting precision Google previously had precise keyword targeting settings that allowed advertisers pick individual search phrases to bid on, defined down to the character w/ exact match or phrase match targeting This was one of the core features that made search advertising magic, enabling advertisers to run extremely precise campaigns based on exactly what their target customer typed But now, even if you bid on a specific term or phrase using the strictest exact -match targeting settings, Google will show your ad across 1000’s of unrelated keywords, labeling them as as “exact match (close variant)” The definition of “close variant” means whatever they want it to and changes constantly. The result is advertisers get billed for clicks that are totally irrelevant to their business and that their targeting settings explicitly forbid Google from targeting. Google does it anyway and there’s no ability to turn this off So now exact match is broad match, and broad match is just meaningless spam This is all very bad for advertisers, but for Google, it allows them to show your ad and bill you for clicks across 1000x more searches that were previously going unmonetized (mainly because they’re garbage queries no one wants) This is how you grow revenue atop declining search volumes Lastly, and perhaps most egregiously, Google quietly stopped respecting budget caps by a factor of 2x. For example campaigns we’ve been running for years with $1000 daily budget caps suddenly began spending $2000+ per day And the extra spend is entirely on the garbage keywords Google arbitrarily throws in as “exact match (close variants)” which have no value to our business, but can’t be turned off Google offers no refunds nor any recourse for overspend or spend on keywords you explicitly did not target These are not the actions of a healthy business. These are the actions of company whose core business is in decline but desperately needs to pump quarterly earnings so Wall Street will continue to fund insane capex while hopefully looking through their rapidly deteriorating negative free cash flow Google operated a benevolent monopoly for the better part of 25 yrs Meaning the value Google captured from Search was but a small fraction of the value it created, and that spread produced a potential energy that justified expectations of high earnings growth far, far into the future This is now no longer the case At the alter of AI capex, Google is sacrificing the golden goose
Sundar Pichai@sundarpichai

Q2 was an amazing quarter, with our AI investments redefining what’s possible across every part of our business. Alphabet revenue grew 24% YoY and Google Cloud accelerated to 82% growth. We saw exciting momentum across the board from Search to YouTube to the Gemini app (which reached 950M monthly active users). Our model APIs are processing 22B tokens/min (up from 16B+ last quarter) driven by our workhorse Flash models. We’re also seeing great adoption of Gemini Enterprise, used by 90% of the Fortune 100, as well as strong demand for our security solutions. Outstanding results and momentum, and such an exciting moment—thanks to all of our partners and employees around the world! 🙌 About to hop on the call!

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