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Madhu Guru

@realmadhuguru ↗

Product Leader at Google - Gemini, Veo, Nano Banana. All opinions mine.

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2026 年 5 月 17 日 · 1 条 →

I have friends who made $10M+ and are miserable. I have friends who made that much and found calm - they don’t need to run anymore. I have friends who made far less and are just happy. Whether something is enough is up to you. Whether you’re happy is independent of your bank account. You can want to be wealthy and still be content now. You don’t need to chase it from a place of lack and desperation. Silicon Valley treats ambition and happiness as mutually exclusive. As if wanting more means you can’t be satisfied now. That’s the trap. You can be both

我有一些朋友赚了 1000 万美元以上,却很痛苦。我也有一些朋友赚到了那么多,并因此找到了平静——他们不再需要继续拼命奔跑。我还有一些朋友赚得少得多,却就是很快乐。一件事算不算“足够”,取决于你自己。你是否快乐,与自己的银行账户无关。你可以想要变得富有,同时也对当下感到满足。你不需要出于匮乏感和绝望去追逐它。Silicon Valley 把 ambition(野心)和 happiness(幸福)看成彼此排斥的东西。仿佛只要还想要更多,你就不可能对现在感到满足。那才是陷阱。你可以两者兼得

♥ 166↻ 8💬 85/16 · 17:54x.com ↗
2026 年 5 月 16 日 · 1 条 →

A generation of PMs is struggling to adapt to AI because they were trained to execute playbooks. AI requires inventing them. For two decades, a few teams invented the product patterns. Everyone else repurposed them to their domain. That made a lot of PM work dry and mechanical. But for a long time, it was enough to build a career. It’s also why so much software feels the same. PMs need to be inventors now, not framework executors. There are no stable playbooks to repurpose. You can’t A/B test your way to a breakthrough AI product. Doable. But PMs need to unlearn.

一代 PMs(产品经理)之所以难以适应 AI,是因为他们过去接受的训练是执行 playbook(成熟打法),而 AI 要求的是去发明这些打法。过去二十年里,只有少数团队发明了产品模式,其他人则把这些模式挪用到自己的领域。这让大量 PM 工作变得枯燥而机械。但在很长一段时间里,这已经足以支撑一份职业生涯。这也是为什么那么多软件给人的感觉都差不多。现在,PMs 需要成为发明者,而不是 framework(框架)的执行者。已经没有可以稳定复用的 playbook 了。你不可能靠 A/B test(A/B 测试)一路试出一个突破性的 AI 产品。这并非做不到,但 PMs 需要先学会“去习得”旧方法。

♥ 26↻ 1💬 65/15 · 22:27x.com ↗
2026 年 5 月 8 日 · 1 条 →

I'm moving on from @Google. I had the privilege of helping build two businesses from zero: first across Search & Ads, then Gemini. Three years ago, OpenAI and Anthropic were in the lead. We built what it took to compete: the playbook for building AI models, the customer feedback flywheel, and the enterprise business. Gemini 3 was the moment those systems came together. To the Gemini team: we went from underdogs to competing at the frontier. Keep pushing. For now, I'm enjoying the emergent capabilities of some real intelligence at home - my toddler. She's been quietly shipping.

我将从 @Google 离开了。我有幸帮助从零打造了两项业务:先是 Search & Ads,之后是 Gemini。三年前,OpenAI 和 Anthropic 处于领先地位。我们建立起了参与竞争所需的一切:构建 AI 模型的 playbook(方法论),客户反馈 flywheel(飞轮),以及 enterprise business(企业业务)。Gemini 3 是这些系统汇合到一起的时刻。致 Gemini 团队:我们从弱势一方走到了在前沿展开竞争。继续推进。眼下,我正在享受家里某种真正智能所展现出的 emergent capabilities(涌现能力)——我家蹒跚学步的孩子。她一直在安静地持续 shipping(交付成果)。

♥ 1.1K↻ 11💬 535/7 · 20:48x.com ↗
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