Pichai says AI feeds back into R&D, and the next year will accelerate due to RSI
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Google CEO Sundar Pichai said on the earnings call that AI is helping improve training and release speed, and he expects the next twelve months to keep accelerating due to RSI. The author believes this is not an official announcement of recursive self-improvement, but AI feeding back into the R&D pipeline has already been written into the investor communication minutes. The real change is that the engineering iteration cycle has been compressed; the next stage is a contest over who can hand the R&D pipeline over to AI faster.
View original postThe A-share market has been really bad recently, and my mood is complicated. The biggest realization I've had recently is this: the biggest misunderstanding of our generation of stock investors is mistakenly believing that the nation's fate equals stock prices. The latest issue of The Economist also said that China's stock market is a rare exception, and raised a very piercing soul-searching question: "If this country is winning the future, why are its stock market investors so depressed?" Many of us, when looking at the macro narrative, are always used to directly equating "industry won" with "investment made money." Over the past few years, in new energy, solar power, power batteries, smart hardware, and open-source AI, whether judged by production capacity scale, speed of going global, or technological iteration, China's industrial chain has demonstrated what can only be called terrifying dominance globally. But on the K-line charts of the secondary market, major global stock markets are taking turns hitting record highs, while this stock market alone has become a painfully rare global exception. What this contrast tears open is a hardcore financial common sense lesson that all stock investors and entrepreneurs must make up for: A country's industrial competitiveness and stock investors' return on capital (ROE) have never been the same set of accounts at the fundamental level. The underlying design of Western capital markets is a cash machine extremely biased toward shareholder returns. Even when US tech giants make money, they take large amounts of cash to buy back and cancel shares and pay dividends to the secondary market, prioritizing maintaining high return on equity and stock price bubbles. What they pursue is maintaining high profit margins, building high patent walls, and using capital premiums to reward those who hold shares. But the underlying logic of China's industrial narrative is an "industrial expansion machine" that pushes total factor productivity to the extreme. Once any industry is proven to have prospects, massive industrial capital, local policies, and startup teams immediately rush in; what everyone competes over is not who pays shareholders more dividends, but who can break through costs at the fastest speed, drive prices to the limit, and directly squeeze global competitors out of the market. This extreme cost-effectiveness and overcapacity have won the country global market share and won consumers extremely cheap goods, but what is left for the listed companies themselves is razor-thin profit margins and endless capital expenditure. The missions of stock markets in different systems have been diametrically opposite from day one: one is an asset pool for residents to accumulate wealth and enjoy capital compounding, the other is, to a large extent, a capital tool for supplying blood to the real economy, sharing innovation risks, and financing heavy industrial assets at low cost. When you put in your hard-earned savings, you think you are sharing the dividends of industrial upgrading, but in fact every cent of yours, as high-intensity R&D consumables and capacity subsidies, is silently being thrown into a super furnace that is reshaping the global industrial map. Only when you understand this huge structural misalignment will you understand where that depression comes from: the world is being reshaped by Made in China, but the contributors who created the manufacturing miracle have to endure the longest decoupling in the capital market.
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最近A股行情很不好,心情复杂,最近最大的一个感触是:我们这代股民最大的误解,是误以为国运等于股价。 《经济学人》最新一期文章也说中国股市是个罕见例外,提出了一个非常扎心刺骨的灵魂拷问: “如果这个国家正在赢得未来,那为什么它的股市投资者们却如此沮丧?” 咱们很多人看宏观叙事,总习惯把“产业打赢了”直接等同于“投资赚到钱了”。 过去几年,新能源、光伏、动力电池、智能硬件、AI 开源,无论从产能规模、出海速度还是技术迭代来看,中国产业链在全球都打出了堪称恐怖的统治力。 但在二级市场的 K 线图上,全球主要股市都在轮番刷出历史新高,唯独这里的股票市场成了一个全球罕见的痛苦例外。 这种反差撕开的,是所有股民和创业者必须补上的一堂硬核金融常识: 国家的产业竞争力,和股民的资本回报率(ROE),在底层从来不是同一套账本。 西方资本市场的底层设计,是一台极致偏向股东回报的提款机。 美股科技巨头哪怕赚了钱,也要把大笔现金拿去回购注销股票、分红给二级市场,优先维持高净资产收益率和股价泡沫, 它们追求的是维持高利润率、筑高专利墙,用资本溢价去奖励持股的人。 而中国产业叙事的底层逻辑,是一台把全要素生产率推向极致的“工业扩张机器”。 任何一个行业一旦被证明有前景,海量的产业资本、地方政策和创业团队就会瞬间涌入; 大家拼的不是谁给股东多分红,而是谁能以最快的速度把成本打穿、把价格卷到极限,把全球竞争对手直接挤出市场。 这种极致的性价比和产能过剩,给国家赢得了全球市场份额,给消费者赢得了极致便宜的商品,但唯独留给上市公司本身的,是薄如刀片的利润率和永无止境的资本开支。 股市在不同体系里的使命从第一天起就截然相反: 一个是拿来给居民沉淀财富、享受资本复利的资产池, 另一个在很大程度上,是承担为实体经济输血、分担创新风险、以低成本进行产业重资产融资的资本工具。 当你把辛苦积攒的积蓄投进去,你以为自己是在分享产业升级的红利, 实际上你的每一分钱,都在作为高强度的研发耗材和产能补贴,被无声砸进了重构全球工业版图的超级熔炉里。 看懂了这个巨大的结构性错位,你才会明白那种沮丧到底从何而来: 世界正在被中国制造重塑,但制造奇迹的功臣们,却不得不承受资本市场上最漫长的一场脱钩。
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Google CEO桑达尔·皮查伊在刚开完的财报电话会上抛出的一句话,直接把技术圈炸翻了: 我们已经到了这样一个阶段,AI 正在帮助我们提升训练和发布速度。我预计未来十二个月将因 RSI 而持续加速。 很多人第一反应直接懵了:Google 这是变相官宣了递归自我改进(Recursive Self-Improvement)?
我觉得直接把高管的一句财报发言等同于技术奇点,大概率是想多了。
但在这种向来锱铢必较的投资者沟通里,AI 正在反哺训练和发布速度,是实打实写进纪要的事实。
说到底以前大模型研发卡脖子的地方,往往不是算力上限,而是人类工程师清洗脏数据、手动调参、写训练脚手架的肉身物理极限。
现在巨头们玩的是另一套打法——把上一代成熟模型的推理算力,反向砸进下一代前沿模型的研发流水线。
从自动蒸馏高质量合成语料,到自动化代码排错与集群调度,整个研发流程正在被重构成一个闭环运转的自增益飞轮。
这事真正让人背脊发凉的地方,根本不是什么虚无缥缈的自我意识,而是工程迭代周期的指数级压缩。
当一家公司的模型不仅对外卖 token,还能日夜不停优化它自己的下一代模型时,研发效率的代际差距就会瞬间拉开。
所以与其急着在网上吵奇点来没来,不如看清眼下最残忍的现实: 大模型下一阶段的生死线,已经不再是单纯比拼堆了多少张卡,而是比谁能更快把自己的工程研发流水线,彻底交接给 AI。