与「Productivity」相关的搜索结果

用了 AI，感觉干活快了，实际却更慢了？ METR 的一项研究出现了这个反差：16 名资深开源开发者完成 246 项真实任务，每项任务随机决定是否允许使用 AI。 结果是，使用当时的 AI 工具，完成时间增加了约 19%。但实验结束后，开发者仍估计 AI 帮自己节省了约 20% 的时间。 推荐读这篇《Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity》。它提醒我们：初稿出来得快，不代表任务完成得快。等待生成、检查结果、修改返工，都要算进总时间。 不过，别把它概括成“AI 让程序员变慢”。研究针对熟悉成熟项目的开发者，使用的是 2025 年初的工具，不能代表所有编程工作，更不能直接代表今天。 还有个值得一起读的后续：METR 在 2026 年更新中观察到一些加速信号，但也指出参与者选择和计时方式等问题，使新数据难以可靠估计提效幅度。 比起争论 AI 到底提不提效，更实用的办法是：选一项重复任务，记下从开始到真正交付的总用时，再看质量和返工有没有变化。 “用起来很顺”和“确实省了时间”，可以分别记录。

🇺🇸 TRUMP METE A ELON MUSK EN LA LLAMADA CON JENSEN TRUMP: Jensen, my friend, tengo a Elon en la línea. Le he contado tus problemas. Todos. Bueno, no todos porque necesitaríamos three hours. Tremendous problems. ELON: Jensen, si Nvidia te echa, yo te contrato. JENSEN: Gracias, Elon. TRUMP: ¿LO VES? That’s America. Pierdes un trabajo por follarte a una empleada y cinco minutos después Elon Musk te ofrece otro. Greatest country in the world. ELON: En xAI necesitamos GPUs y gente que sepa construirlas. Jensen sabe bastante de GPUs. TRUMP: “Bastante”. Elon, please. Este tipo ha convertido unos chips en cuatro trillones de dólares. Beautiful chips. The best chips. Su único problema es que aparentemente intenta conectar con todo lo que tiene puerto disponible. JENSEN: Señor presidente… ELON: En Tesla tenemos una política bastante simple: si produces, me da igual que seas raro. TRUMP: Elon, tú tienes como catorce hijos. Tremendous productivity. ELON: Creo que son más. TRUMP: EXACTLY. Jensen, estás hablando con el Michael Jordan de esta mierda. Tú tienes dos affairs y estás en crisis. Elon tiene que abrir Excel para saber cuántos hijos tiene. Learn from the best. ELON: Puedo darle trabajo en xAI mañana. TRUMP: Great deal. Tremendous deal. Pero Elon, ponle una condición: NO DIRECT REPORTS. Ninguna mujer puede reportar directamente a Jensen. Make them report sideways. Diagonally. I don’t care. JENSEN: Esto es humillante. TRUMP: Humillante sería acabar en Intel. Esto es una segunda oportunidad. ELON: Podríamos llamarlo Chief GPU Officer. TRUMP: No. Chief Dating Officer no. BAD TITLE. Very dangerous. ELON: He dicho GPU. TRUMP: Ah. Great title. Beautiful title. JENSEN: No estoy buscando trabajo. ELON: La oferta está ahí. Más acciones, más GPUs y puedes dormir en la oficina. TRUMP: PERFECT. Si duerme en la oficina no puede tener citas. Elon acaba de resolver el problema. This is why he’s a genius. JENSEN: … TRUMP: Jensen, escucha. Nvidia, xAI, Tesla… tienes opciones. Many options. Pero si aparece una tercera mujer antes de Navidad, te mando a Marco Rubio a darte por el culo. Nobody has ever seen anythng like this. ELON: Puedo ponerle seguimiento por Starlink. TRUMP: EVEN BETTER. American technology protecting American technology. JENSEN: Voy a colgar. TRUMP: Great guy. Tremendous guy. ELON: Entonces… ¿empiezas el lunes? JENSEN: Adiós. TRUMP: He’ll take it. Believe me. MAKE AMERICA GREATE AGAIN🇺🇸

Elon calls Teslas robots on four wheels. Here's why that changes everything 👇 "A typical passenger car is about 10 hours of use a week… But if it's autonomous, it could be used 100 hours a week… So that would be a 10x increase in the productivity of the car." — @elonmusk A Tesla already drove itself from Giga Texas to its new owner's home, the first autonomous delivery of its kind. FSD Supervised is now approved in 8 EU countries. 4 days to the 10/10 𝕏 Takeover at Giga Texas. What would your Tesla do with the other 158 hours a week? 🎥 @Tesla

Introducing omni-macos: a semantic Finder for Apple Silicon. It was first released months ago, but now getting really good and becoming my daily productivity. Over the last few months I've kept improving fully local, on-device semantic search for my everyday agentic use. The goal: a local multimodal search engine that's easy for both humans and agents, fast, and handles CRUD in real time. After years of working on embedding and reranker models, I figured this would be easy, especially with coding agents hill-climbing tps for you. Turns out making it actually good is pretty damn hard. I've also seen other projects like zvec-grep going after the same thing, but I think most of them miss some key points about local search, especially on personal devices. They optimize for efficiency and relevance, which is fair with a SaaS mindset, but not enough for an air-gapped personal device: - Efficiency matters, but on a laptop, an indexer that hogs the machine to finish sooner is worse than one that takes a bit longer and you never notice. - Personal files are massively duplicated: v1, v2, v-final, v-final-final, plus backups, often with only tiny diffs between them. So using the file as the indexing unit is inefficient. - Some files get edited all the time, but only a small part changes each time. Reindexing the whole file is, again, a waste. - CRUD needs to be handled properly at the folder level. - You only have one GPU interface and it's non-preemptive. Embedding needs it, vector search needs it, OCR needs it. You can't lower the priority of work that's already queued, so priority can only be set at admission.

Claude 教我「生產性拖延」這個詞：procrastivity 由 procrastination（拖延）和 productivity（生產力）兩個字拼成。 拿另一件本身也有用、也該做的事，來逃避真正最該做的那件事。整天看起來很忙，最重要的事卻沒有前進。 🤡

Every time I start focusing on early retirement, I get depressed. I hit my FIRE number to never work again back in January of this year. This was followed by one of the most soul-crushing depression feelings I have ever had in my life. I realized I had organized my entire life around achievement for survival. And once survival was taken care of, achievement started to not lift me up the same way it did for the last ten years. This caused me to uncover the most uncomfortable belief that many men in America feel, I equated my productivity with my worth. So every step towards early retirement was a step towards worthlessness. And wow, realizing the destination I was yearning for since I was 21 was actually a state of worthlessness shook my entire body. So, I decided to travel and see the world. I saw Finland, Sweden, Norway, Denmark, India, Thailand, and Taiwan. I came back from my travels, and I was still depressed. Nothing had actually changed. My productivity and worth were still inextricably linked. So, is there a way to contribute while also being retired? Or do you just put your head in the sand and move back to San Francisco? 😂

Yesterday at the White House, leaders from across our industry came together to sign the White House Accord on Super Intelligence. The principle is simple: the companies building this technology have the primary responsibility to develop and deploy it safely, and to be accountable when they fall short. The Accord reinforces that responsibility with robust internal controls, independent external evaluation, and board level oversight. Super Intelligence offers an extraordinary opportunity to advance discovery, productivity, security, health, and prosperity. The future of Super Intelligence will be shaped not only by what it can do, but by the confidence it earns. By building with ambition, rigor, and responsibility, we can help ensure this extraordinary technology expands opportunity and improves lives for generations to come.

I am technologically illiterate, but in less than 24 hours, Grok Bot has transformed my productivity & personal business outlook. I have agents that are experts / "employees" in real estate development, DTC fashion e-commerce, niche private equity, and HPC/GPU customer acquisition & deployment.

Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world.