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attention is all you need

Hong Kong
Joined February 2022
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Every AI company is trying to fully automate AI research; to allow the AIs to build the next AI. This is called Recursive Self Improvement (RSI). OpenAI says they are on track to do so by March 2028. Anthropic employees say they are on track to do so by 2027. The METR report below suggests they are likely right. This is a bad idea given current technology. Any mistake or misalignment in current AIs could be multiplied in each generation. We don't get another election before AI companies reach this threshold. Congress should ban RSI, this year if possible. This is a remarkably consensus opinion, supported in various versions by: -Bernie Sanders -Steve Bannon -Ralph Nader -Glenn Beck -Republican and Democratic attorneys general -Whistleblower Daniel Kokotajlo -Turing Award winner Yoshua Bengio -Humans First -Open Markets Institute -Ezra Klein -Arvind Narayanan (a Princeton computer scientist known for arguing that “AI is a normal technology”) The exact mechanism can be debated. The ban doesn't have to be permanent either (see below for both). This is not the only thing we have to do in regards to AI, far from it! But it is urgent. Congress must ban RSI.
Since August, a team within METR has worked with internal Anthropic information to assess whether AI itself is accelerating AI development. We are now publishing a report summarizing the results of this risk assessment.
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BREAKING: A mystery seller is trying to dump about $500 million in data center loans all at once, per Bloomberg, days after the midterms raised doubts about many projects. The anonymous seller is auctioning a dozen loans, including a $25 million piece of financing for a huge Stargate site in New Mexico, the joint project of OpenAI, SoftBank and Oracle. Oracle has already sent that site’s developer a force majeure notice, a legal claim that events beyond its control may excuse it from its obligations.
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Bond market completely shuts off Anthropic ability to raise debt based on their extreme risk of default. All debt raises will require a parental co-signer for the company. It’s over for Ai. Anthropic only needs to raise hundreds of billions of dollars a year on other people’s credit history. TeraWulf signed a credit support agreement with Google $GOOG to support financing for its Justified data center campus in Hawesville, Kentucky, tied to an approximately $19 billion long-term lease commitment with Anthropic. According to ChainCatcher, Google will provide contractual credit support for anticipated debt financing; Alphabet’s senior unsecured debt is rated AA+ by S&P and Aa2 by Moody’s. The data center is expected to begin phased delivery in late 2027 and continue through the second quarter of 2028. TeraWulf said the agreement strengthens the project’s financing framework and construction execution, helping convert long-term AI and high-performance computing leasing demand into recurring cash flow.
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为啥我觉得放慢ai基建最大的雷是大模型?但是完全没跌幅? 想象下openai面临 1.更高的下游算力成本(数据中心建造要求提高)2.牵一发而动全身的融资问题(如果spcx和orcl以及新云的债评级下调)3.开源模型的竞争 4.大模型本身商业模式的缺陷 5.民主党上任可能的伦理问题(裁员带来的一些问题)
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市场对$appl 的定价简直奇葩。又当成ai放缓建设➕一存储拐点降价双重利好了 闹麻。贵的一批。
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牢A的预判你必须得信啊!之前预判美股没跌完所以一直跌现在预判美股要企稳了所以大反弹!文峰的顶级预判能不信么
有没有一种可能我是说 如果要救创业板 可以把汽配厂拉成创业板指数然后把光模块这种电子厂跌倒剔除创业板成分股😇
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有没有一种可能我是说 如果要救创业板 可以把汽配厂拉成创业板指数然后把光模块这种电子厂跌倒剔除创业板成分股😇
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Thoughts from my Shanghai field trip Sentiment among Greater China investors was far worse than I expected. Unlike the US market, A shares had not seen a single rebound since July. Still holding Chinese and Hong Kong AI stocks that had crashed and Korean memory stocks that had collapsed, investors kept pressing me on when memory would bounce back. Many investors said the AI trade was over, and a few said they doubted whether even 2027 capex, not just 2028, would go ahead as planned. Overall, the bearish sentiment was so strong that even I, a bull before coming to China, started to waver. It got to the point where, faced with the bear case that memory prices could start falling in the third quarter of next year, I took it seriously and couldn't refute it. As the conversations went on, I gradually began to understand where their pessimism was coming from. In the end, they were all asking the same question. So what comes after AI coding? What will be the next engine of ARR for Anthropic and OpenAI? Several candidates came up. AI4S, AI chip design, and so on... But none of them clearly convinced investors. I couldn't offer a clear answer either. Sure, there are rumors that Anthropic has made major breakthroughs in both AI4S and AI chip design, but what we actually want to know is when any of that turns into money. With AI4S, there could be beneficiaries right away, such as companies that sell lab monkeys or diagnostic kits. In fact, there already are. But while we can trade those names in the short term, what we ultimately want to know is whether Anthropic can make money by developing drugs. That is still several years away. As for AI chip design, the TAM itself is hard to calculate, and even if you do calculate it, it is hard to monetize. That makes it difficult for the market to believe in. Honestly, this feels like the hardest market in history. If a company isn't making money, selling makes sense. But right now the market sells even when companies are making money, even when they beat, and even when they say demand will stay solid all the way through 2028 and 2029. So my recommendation to investors was to buy memory, and within memory, DRAM. Not because I have conviction in the DRAM cycle, but because I see it as a relatively defensive choice within the AI trade. Memory stocks are now trading close to 1x P/B on 2027 BPS. Historically, memory stocks have staged technical rebounds when they fell below 1x P/B. And even if the broader market falls further from here, the three DRAM makers will keep buying back their own shares. I thought that would guarantee a certain level of buying and concluded the stocks would have downside support. Of course, I don't know whether memory stocks can break above their previous highs. That depends on whether sentiment across the broader market recovers. But I think there is a fairly good chance that memory outperforms the rest of the AI trade.
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神一样的收购 这是正常人能看明白的么。这下好了人民币一万亿也没有了
Replying to @roki565
下一个miss的大概率是$lite 和$mrvl😂
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如果后面讲机器人的故事 最好的芯片的选择还是端侧和存储吧 不过端侧还有存储拐点的故事可以讲
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$mrvl 财报出来大概率还有一个-20%
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这科技债 风偏来说 要打败科技股➕所有不生息资产了
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这玩意简直成信仰股了 一个aapl一个可口可乐 两消费股比达子pe还高合适么? 而且也是搞笑,别的端侧但凡有pc业务的今晚都暴跌,果子这40的pe➕布林上轨还在充当避险股。 只要资金不继续丧心病狂避险,看好下周财报不及预期➕资金流出抄底其他科技,盘后-5%以上😇
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我感觉做空唯一的风险就是,晚上有看凯侠给出的指引,市场可能预期存储即将见顶降价,aapl毛利提升带来拐点,类似之前小米的提前见底就当我没说。但这玩意40pe应该没什么基本面相关的原因了,全是担心ai爆雷的资金在里面当红利股抱团了。
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这半导体也太拥挤了 看分时完全是连环爆仓 不计一切卖出
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$intc 果然miss 后面还要面临高资本开支&高息融资环境 完全利空晶圆厂这种重资产
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$amd 这也是高估了 消费级cpu大概是伪需求。画大饼。
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下一个miss的大概率是$lite 和$mrvl😂
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其实我有一个问题,如果大家觉得ai已经发展到人类没办法阻挡了,那为啥觉得旧范式下的网络安全股可以有能力阻挡😂这crwd贵到难以理解。 还不如涨点私有云之类的呢
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所以真是不懂这些网安股之前在硬拉什么 一个个出业绩就是miss。不过好奇short semi long igv的hedgefund还好么
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很少吐槽推特的中文kol但这次真的有点受不了了。这些人是傻逼还是空单被套么😂虽然我不否认明天起床应该铺天盖地资本开支见顶的小短文,但原话的核心意思难道不是强调数据中心会带来收入导致未来会有更多的自由现金流?以此打消关于orcl融资的一些fud?
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