与「Uber」相关的搜索结果

We're shipping big updates to Ask Maps! Since we've launched Ask Maps, I've been inspired by how people are using Google Maps in totally new ways to ask the questions really on their minds. Building on that, we're expanding Ask Maps to 150+ markets in English and rolling out: 🍔 Food ordering with partners like Square and Toast, with Uber Eats coming soon 🧠 Personal Intelligence with Gmail integration 🚆 Real-time transit info 🗺️ Suggest tips and edits conversationally

Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.

Our first Kite demo was ChatGPT ordering Uber Eats for you. It never got past the login screen. Uber's CAPTCHA was built for humans, and agents cannot pass it. On @gracegongGG's Venture with Grace, our Co-Founder & CEO @ChiZhangData traced how that moment shaped the way we design Kite. ▷ The demo died at the login, not at ordering or paying. The blocker was proving the agent was allowed to be there at all. Spinning up a browser extension to click through the CAPTCHA works, but it is a temporary stage of how agents and the internet should work together. ▷ The permanent path is identity. Every agent needs to prove who it is and where it comes from, carrying who its human or organization principal is, what its purpose is, and the exact authorization scope for that session or request. An agent showing up with no reason is either hallucinating or attacking you. ▷ Where this is heading: an API-first agentic internet, where headless agents authenticate without human login credentials. x402 and MCP are already marching toward that. Kite Agent Passport is that identity layer: verifiable identity, delegated authority, and permissions scoped per session. No more "prove you're human." 🪁

Exclusive: Codex Realtime Voice Mode is being prepped as a full personal assistant you talk to and steer from your phone. The system prompts describe a "general-purpose agentic assistant" that holds the conversation while worker agents handle "checking Slack, Spotify, documents, calendar, browsing, shopping, or food ordering." One of the example tasks: "Look through Uber Eats and find dinner options."

Elon Musk sagte, dass das Sparen für den Ruhestand in 10 bis 20 Jahren sinnlos sein wird. Keine Spekulation. Mathematik. Musk: "Machen Sie sich keine Sorgen, Geld für den Ruhestand in etwa 10 oder 20 Jahren zu sparen. Es wird keine Rolle spielen." „Wir haben den Ereignishorizont überschritten. Altersvorsorge geht davon aus, dass die Knappheit anhält. Das wird es nicht. KI und Robotik senken die Arbeitskosten auf Null. Die Lebenshaltungskosten folgen. Sie sparen nicht für die Sicherheit. Sie sparen für eine Welt, die aufhört zu existieren.“ Musk: "Wenn irgendetwas von dem, was wir gesagt haben, wahr ist, wird das Sparen für den Ruhestand irrelevant sein." 👉🏼 Hat Elon Musk recht mit dieser Aussage?

First Principles Ep. 4 with Alvin Roth Long before crypto made coordination programmable, Nobel Prize winner Alvin Roth was designing markets where coordination could save lives, matching doctors to hospitals, students to schools, and kidney donors to the patients who need them. Roth explains why markets are not just natural forces, but engineered systems; why the details of timing, congestion, incentives, and trust can make or break a marketplace; and why some of the most important markets are the ones where simply exchanging money can’t do the work. Hosted by @Tim_Roughgarden with @skominers. 00:00 Intro: Why market design matters 04:18 The economist as engineer 08:09 When theory meets the real world 07:02 Fixing the medical residency match 15:32 Why markets unravel 18:22 Redesigning NYC high school admissions 28:05 The hidden problem of congestion 34:47 How kidney exchange saves lives 45:26 How the internet changed market design 48:25 Airbnb, Uber and smarter marketplaces 51:28 Repugnant transactions and moral economics 53:32 When markets need social support 54:32 The unexpected effects of criminalizing surrogacy 01:04:58 Preference signals and the job market 01:18:53 A broken market: resettling refugees and other migrants

Rebecca J recounted how she once invited an Uber Eats driver into her place after confirming he was comfortable with it, and they ended up having sex. Laughing about the encounter, she said she gave him a five rating 😭 .​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

邓文迪与三星电子会长李在镕的同框互动打破了大众对其社交圈的常规认知。画面中，李在镕外套系腰间造型随性，邓文迪则以牛仔裤配紫色外套尽显休闲老钱风范，两人热聊甚欢。此外，邓文迪还在聚会中游刃有余地与Uber执行长、伊万卡·特朗普等名流互动。值得一提的是，邓文迪前夫默多克的长子拉克兰虽现身但未与她同框；此前邓文迪曾支持拉克兰接班，其两个女儿也被列入默多克新信托基金受益人，大女儿目前已进入她的影视公司发展。

This woman grabbed a case of Tito’s vodka, tossed it into the Uber waiting for her, and expected the driver to help her get away. Instead, the Uber driver refused to drive, got out, opened the door, and let the delivery truck driver recover the stolen vodka. Not everyone is willing to become part of someone else’s crime. Credit to that Uber driver for refusing to help.