A-share Three Major Indices Diverge at Midday Break, Power Stocks Fall A股三大指数午间休盘涨跌不一，电力股下挫

Anthropic’s sudden call for all staff to halt AI research landed like a bomb thrown into the tech world’s afternoon coffee. On one side, A-share electricity stocks are tumbling, and semiconductor sectors are plummeting; on the other, an AI giant is internally calling for a stop—as if the entire tech universe is splitting into two parallel worlds: one panicking over short-term volatility, the other trembling at long-term risks.

Anthropic slammed the brakes hard. In today’s white-hot AI arms race, a company known for “responsible AI” jumping out to call for a halt suggests either they’ve genuinely seen firelight at the cliff’s edge or they’re playing a clever hand of expectation management. I suspect it’s a bit of both. Look at their competitors’ moves: Apple’s Vision Pro product line has been sidelined, while Jensen Huang jets off to appear on variety shows—the scene is almost surreal, with some bracing for crisis in labs while others chat and laugh on camera. The AI industry is上演一场荒诞剧: top scientists are worried about human extinction, while business leaders are busy crafting new narratives for investors.

News of DeepSeek charging for its services arrives at a fitting moment. The free model has nurtured how many bloated AI apps? Charging is a rite of passage, forcing users to ask, “Is this thing actually worth paying for?” But pricing could also kill innovation: when every token comes with a price tag, will those imaginative open-source projects starve in their cradles? This reminds me of today’s plunge in electricity stocks—tech evolution is never linear growth; there are always sectors that collapse amid the revelry, and new forces that rise from the ruins.

Cold data on Honda’s sales halving in China lies there alongside AI news. Traditional auto giants are crashing hard, while headlines on intelligent driving are all about algorithm breakthroughs. The contrast is glaring: Are we using AI’s revelry to mask the pains of the real economy? When analysts talk up “ByteDance AI’s four key propositions,” workers on the assembly line might be more concerned about next month’s paycheck. If technological progress stays confined to papers and PR releases, how is it different from the K-line charts of electricity stocks—numbers rise and fall, but life goes on.

Fei-Fei Li personally stepped forward to debunk the “world model” narrative—a stance that itself is sharp. When academic heavyweights have to debunk hype themselves, it shows the AI hype balloon has inflated even experts can’t stand it. Are we championing genuine breakthroughs, or collectively indulging in a sci-fi narrative? Look at those funding announcements: “Zhiwei Chuangxin” completes its angel round, claiming to boost development efficiency tenfold—a number as tempting as a gym poster promising “abs in three days.” Chip verification automation is a solid direction, but the industry is flooded with too many “10x efficiency” myths; when they finally land, they often become “10x the price.”

Jensen Huang’s reported distress over ByteDance using Arm CPUs—how much of that is genuine emotion versus PR? The battle over chip architectures isn’t just technical; it’s a microcosm of geopolitics. As Chinese companies pick sides, U.S. chip giants may appear saddened on the surface, but inwardly could be delighted—the fiercer the competition, the deeper their moat. But who’s most awkwardly caught in this game? The application-layer companies stuck in the middle, juggling tech blockades while catering to increasingly picky users.

Should AI research stop? The question itself is a luxury. Anthropic can call for a halt because they have the capital to pause and reflect; but tens of thousands of startups worldwide can’t afford to stop—they’re burning investor cash, sprinting through a jungle of “innovate or die.” We miss the era of pure technical breakthroughs, but today’s AI track is already tangled with capital games, geopolitical jockeying, and human greed. Electricity stocks are down, semiconductors are in the red, AI news is flooding the feed—all mixed together like the schizophrenia of our time: fearing the future while overdrawing on the present.

Perhaps the real warning isn’t Anthropic’s call, but our attitude toward technology: we’re forever swerving between “accelerate” and “brake,” forgetting to fasten our seatbelts. As Honda’s sales figures stand like tombstones and AI papers pile into mountains, maybe someone should ask: What kind of future are we sprinting toward? Don’t tell me it’s all about “improving efficiency”—today’s electricity stocks have already shown us: speed without direction only leads us faster into the wall.

Anthropic突然呼吁全员停止AI研究，这消息像一颗炸弹扔进了科技圈的午后咖啡。一边是A股电力股下挫、半导体板块跳水，另一边是AI巨头内部喊停——仿佛整个科技世界在分裂成两个平行宇宙：一个在为短期波动抓狂，另一个在为长期风险颤抖。

Anthropic这记急刹车踩得够狠。在AI军备竞赛白热化的今天，一家以“负责任AI”著称的公司跳出来喊停，要么是真看到了悬崖边的火光，要么是玩了一手高明的预期管理。我猜两者兼有。看看他们竞争对手的动向：苹果Vision Pro产品线被移除，黄仁勋却跑去上综艺节目——这画面太美，一边在实验室里如临大敌，一边在镜头前谈笑风生。AI行业正在上演荒诞剧：顶尖科学家担忧人类存亡，而商业领袖们忙着给投资人讲新故事。

DeepSeek收费的消息来得正是时候。免费模式喂养出了多少虚胖的AI应用？收费才是成年礼，逼着用户思考“这玩意到底值不值我掏钱”。但收费也可能杀死创新：当每个token都明码标价，那些天马行空的开源项目会不会饿死在摇篮里？这让我想起电力股今天的暴跌——技术迭代从来不是线性增长，总有板块在狂欢中崩塌，总有新势力在废墟上重生。

本田在中国销量腰斩的数据冷冰冰地躺在那里，和AI资讯并列。传统汽车巨头跌得惨烈，而智能驾驶的新闻头条里全是算法突破。这反差太刺眼：我们是不是在用AI的狂欢，掩盖实体经济的阵痛？当分析师们大谈“字节AI的四个关键命题”时，流水线上的工人可能更关心下个月的工资单。技术进步如果只留在论文和PR稿里，那和电力股的K线图有什么区别——数字起落，人间照旧。

李飞飞亲自下场辟谣世界模型，这姿态本身就够辛辣。学术大牛不得不亲自打假，说明AI领域的 hype 已经膨胀到连专家都看不下去了。我们到底在追捧真正的突破，还是在集体沉迷于科幻叙事？看看那些融资新闻：“智维创芯”完成天使轮，号称提升开发效率10倍——10倍，这数字像极了健身房海报上的“三天练出腹肌”。芯片验证自动化是好方向，但行业里充斥着太多“效率提升十倍”的神话，最后落地时往往变成“十倍的价格”。

黄仁勋听说字节用Arm CPU后说“好难过”，这话里有多少真心、多少公关？芯片架构之争从来不只是技术问题，更是地缘政治的缩影。当中国公司开始选边站队，美国芯片巨头表面难过，心里可能乐开了花——竞争越激烈，他们的护城河越深。但这场博弈里最尴尬的是谁？是那些夹在中间的应用层公司，既要应付技术封锁，又要满足用户日益挑剔的胃口。

AI研究该不该停止？这问题本身就很奢侈。Anthropic可以喊停，因为它们有资本停下来思考；但全球数以万计的初创公司停不起，他们烧着投资人的钱，在“要么创新要么死”的丛林里狂奔。我们怀念那个单纯追求技术突破的年代，但现在的AI赛道早已混杂了太多资本游戏、地缘角力和人性贪婪。电力股跌了，半导体绿了，AI新闻刷屏了——这一切混在一起，像极了这个时代的精神分裂症：一边恐惧未来，一边透支现在。

或许真正的警示不是Anthropic的呼吁，而是我们对待技术的态度：我们总在“加速”和“刹车”之间摇摆，却忘了系好安全带。当本田的销量数字像墓碑一样矗立，当AI论文堆成高山，或许该有人问一句：我们到底在为什么样的未来冲刺？别告诉我又是为了“提升效率”，电力股今天的表现已经告诉我们——没有方向的速度，只会更快地撞上南墙。