Jensen Huang: NVIDIA's 100% of engineers are now nearly forced to use AI
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.
Topics
View original postAfter 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 😭
View original
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😭
Body · AI translation
In a CNN exclusive interview, Jensen Huang publicly revealed a management detail that makes every Silicon Valley executive's heart skip a beat:
Inside Nvidia, 100% of software engineers and chip designers are already using AI every day, and the force with which he has pushed this has reached the point of being "nearly mandatory."
And it's not the perfunctory kind of issuing initiatives, nor the HR-arranged clock-in training,
Huang treats this matter as a red line of the company's very survival:
as long as you write code or draw chip blueprints at Nvidia, you must outsource part of your brainpower to large models.
In the past, many big-tech programmers always carried a kind of old-craftsman arrogance: feeling that AI-generated code is too dirty, that the logic has holes, and that only what is typed out line by line by human hands counts as engineering craftsmanship.
Switching tools amounts to a total negation of their muscle memory from the past decade-plus, and they even secretly resist feeding business details to the models.
But Jensen Huang slapped this sentimentality to pieces, even in Nvidia, the stronghold that builds chips and sells computing power, the hardest-core frontline engineers have been pressed by the CEO into fully plugging into AI,
and Jensen Huang himself keeps four tools permanently on his phone: ChatGPT, Gemini Pro, Perplexity and Grok, rotating through them.
Now that the people selling shovels are shoving the shovels down their own people's throats, while the onlookers outside are still arguing about whether to use them—that in itself is an utterly absurd generational time lag.
I think the most brutal part is the line Zakaria pressed him on, "the revenge of the English major": formerly, the ticket into the computer world was tightly monopolized by obscure machine syntaxes like C++, Python and Verilog, but now computers are frantically adapting to humans' native language; the only programming language of the future is English—it's the human language you speak.