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AYi AI NotesUpdated Oct 31 14:02

Jensen Huang: NVIDIA's 100% of engineers are now nearly forced to use AI

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In an exclusive CNN interview, Jensen Huang revealed that 100% of NVIDIA's software engineers and chip designers already use AI every day, and the push is nearly mandatory. He himself keeps four tools—ChatGPT, Gemini Pro, Perplexity, and Grok—on his phone and rotates among them. He also proposed that the only programming language of the future is English, that is, natural language.

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After downing a few glasses of dark beer, OpenAI CEO Altman hesitated in front of the camera, then finally couldn't hold back, and with a slight loss of composure but with great authenticity, blurted out one of OpenAI's deepest secrets. Altman's exact words were, "I probably shouldn't say this, but since we're drinking, I'll say it." A few days ago, after the new ChatGPT model cut through mathematicians' lifelong research problems like chopping vegetables, he was so excited that he stayed up two nights in a row, yet at dawn he fell into deep sorrow: because he had watched with his own eyes the era in which humanity relied on flesh-and-blood brains to explore truth die completely before him 😭😭 Immediately after, he told the story of the crazy weekend inside OpenAI known as "Model Name-Hold My Beer." As soon as the new model was up and running, a group of the world's top scientists went completely wild in the internal channel, like posing exam questions to a deity, they threw in all at once the hardest research accumulated over decades of their academic careers, the unsolved mysteries spanning every discipline, and the dead knots everyone was certain "a machine could absolutely never crack." Then, before everyone's eyes, that model, like autumn wind sweeping fallen leaves, knocked down these ultimate fortresses of human intelligence one after another. For a single proof related to the Millennium Prize Problem, the Navier-Stokes equations, they poured in $10 million worth of compute. Altman admitted that the actual scientific discoveries produced far exceeded the several hundred results they publicly released. He was so excited that he went sleepless for two consecutive nights, but the most spine-chilling part of the whole thing was the psychological cliff after his excitement: "I also had more sadness and melancholy than expected, and a feeling that... something is ending." This was absolutely not put-on PR rhetoric, but the instinctive lament of a person who had witnessed the Creator descend, uttered upon the ruins. For the past few thousand years, the reason humanity could hold its head high and crown itself the lord of all creation was that we firmly believed the flesh-and-blood brain contained a divinity and epiphany that could not be reduced to formulas. No matter how advanced the tools, those deepest mathematical truths, physical laws, and scientific discoveries would always belong to the supreme crown of a few chosen ones. But on that weekend, that crown was violently and elegantly removed by row after row of cold GPU racks, at a compute cost of tens of millions of dollars. The hardest propositions became a matter of compute; a lifetime of ascetic pursuit became code run overnight. It proved that the ceiling of humanity's scientific exploration had been infinitely raised, but it also sounded the death knell for the era in which humanity proudly looked down on the universe relying purely on flesh-and-blood intelligence. The person closest to superintelligence in the world, holding far more truths than were shown to the outside, sounded sadder than anyone after finishing his drink 😭

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几杯黑啤下肚之后,OpenAI CEO 奥特曼在镜头前犹豫了一下最后没忍住,有点失态但又非常真实的吐露了OpenAI 最深的一个秘密, 奥特曼原话是“我其实可能不应该说这个,但既然我们在喝酒,我就说了。” 前几天在ChatGPT新模型把数学家们一辈子的研究难题像切菜一样打穿之后,他兴奋得连熬两夜,却在天亮时陷入了深深的悲伤: 因为他亲眼看着人类依靠肉身大脑探索真理的时代,在眼前彻底死去了😭😭 紧接着,他讲了 OpenAI 内部那个被称为“Model Name-Hold My Beer(看我的)”的疯狂周末。 新模型刚跑通, 一群全世界最顶尖的科学家在内部频道里彻底玩疯了, 大家像是在给神明出考题一样, 把各自学术生涯里积攒了几十年最难啃的研究、横跨各个学科的未解之谜、以及所有人都笃定“机器绝对不可能做出来”的死结,一股脑全扔了进去。 然后,那个模型在所有人面前,像秋风扫落叶一样,接二连三把这些人类智力的终极堡垒全部击倒。 单单一个千禧年大奖难题 Navier-Stokes 方程相关的证明,他们就砸进去了 1000 万美元的算力。 奥特曼坦言,实际跑出来的科研发现, 远比他们对外公开发表的那几百个成果多得多。 他连着两个晚上兴奋得彻夜无眠, 但全场最让人脊背发凉的,是他兴奋之后的心理断崖: “我也有比预期更多的悲伤和忧郁,以及一种……某种东西正在结束的感觉。” 这绝不是装模作样的公关辞令,而是一个亲眼目睹了造物主降临的人,在废墟上发出的本能悲叹。 过去几千年,人类之所以能昂着头自封为万物之灵,是因为我们坚信肉身大脑里蕴含着不可被公式化的神性与顿悟。 无论工具多么发达,那些最深奥的数学真理、物理规律和科学发现,永远是属于少数天选之子的至高王冠。 但在那个周末,这顶王冠被一排排冷冰冰的显卡机柜,以千万美元的算力成本,暴力且优雅地摘了下来。 最难的命题变成了算力的问题,一生的苦修变成了通宵跑完的代码, 它证明了人类科学探索的上限被无限拓宽,但也宣判了人类纯粹依靠肉身智慧傲视宇宙的时代,正式敲响了丧钟。 那个世界上离超级智能最近的人,手里握着远比展示给外界更多的真理,但他喝完酒后,听起来比任何人都悲伤😭

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黄仁勋在 CNN 专访里公开了一个让所有硅谷高管心惊肉跳的管理细节:

英伟达内部 100% 的软件工程师和芯片设计师已经在天天用 AI,他推行的力度甚至到了“近乎强制”的地步。

而且不是那种流于形式的发发倡议、也不是HR安排的打卡培训,

老黄就是把这件事情当成了公司生死存亡的红线:

只要你在英伟达写代码、画芯片图纸,你就必须把一部分脑力外包给大模型。

以前很多大厂程序员总有一种老手艺人的傲慢: 觉得 AI 生成的代码太脏,逻辑有漏洞,只有人肉一行一行敲出来的才叫工程素养。

换个工具就等于全盘否定自己过去十几年的肌肉记忆,甚至暗搓搓地抗拒把业务细节喂给模型。

但黄仁勋这一巴掌把这种矫情彻底拍碎了, 哪怕在英伟达这个造芯片、卖算力的大本营里,连最硬核的一线工程师都被 CEO 按着头全面接入 AI,

黄仁勋自己手机里更是常年挂着四个工具:ChatGPT、Gemini Pro、Perplexity 和 Grok 轮番换着用。

现在当卖铲子的人都在把铲子硬塞进自己人的喉咙里,外面的观望者还在争论要不要用,本身就是一种极其荒诞的代际时差。

我觉得最狠的是扎卡利亚追问的那句“英语专业的复仇”,

以前进入计算机世界的门票,被 C++、Python、Verilog 这些晦涩的机器语法死死垄断,

但现在的计算机在疯狂适配人类的母语,未来唯一的编程语言就是英语,就是你说的人话。

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