与「Airbnb」相关的搜索结果

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.

Mısır’da geceliği 100 pound olan ve ilanında sadece içi gösterilen Airbnb evini kiralayan turist, dışarıyı görüntülemeye başlayınca dışardakiler peş peşe “No, no, no!” diyerek kamerayı kapatmasını istedi; çevrenin özellikle gizlenmeye çalışılması dikkat çekti.

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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

Solana创始人当年刚创立Solana时孩子刚出生，全靠老婆在Airbnb上班养家。 他自己疯狂开了1000场投融资会，结果没人愿意给钱！ 他说创业根本不是运筹帷幄，而是到处起火，你只能选择看着哪里的火先烧，然后忍受几年的痛苦。 现在Solana市值飙到470亿美元。

很多人喜欢盯着TVL来算市值，现在以太坊的市值已经低于TVL，于是不少人认为以太坊被低估了。但是Visa每年处理15万亿美金的交易，市值只有6000亿，纽交所每年结算60万亿美金的股票，市值只有800亿，Airbnb托管了3万亿美金的房产，市值只有900亿，但你从来不会因此去买它们的股票🤷‍♂️

A developer just killed the real estate walkthrough industry by scanned an entire house with his phone. Uploaded it. Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment. Click → you’re inside. Every room. Every angle. Every shadow. Photoreal. The economics are brutal for the old model: → Agent fee on a $500k home: $15,000 → Cost to produce this scan: roughly $200 → Time to "tour" 50 houses: one evening → File size: smaller than a TikTok clip The science is wild too: It runs on 3D Gaussian Splatting instead of polygons. Millions of tiny glowing splats of color and depth reconstruct the scene from your photos, and it loads photoreal on a phone. Freelancers are already charging $300 to $800 per scan for realtors, Airbnbs, venues, and dealerships. One person + one phone + one weekend = a business. Open source. Built on PlayCanvas. Free GitHub:

"Eres joven, te has formado durante 25 años, te matas a trabajar por dos duros, sigues en tu casa con 30 porque no puedes alquilar un piso, comprarlo ni te lo planteas, el tren que te lleva al trabajo no funciona, tu Seat Leon del 2005 no entra en el centro, tu vecina Paqui no podía pagar la cuota de autónoma y la frutería ahora es de Moha, el bar de la esquina con el rótulo de Casa Paco es de Shao Lin, encima de ti viven unos okupas, debajo tienes un piso patera y justo en frente un Airbnb a 150€ la noche, te da fiebre pero no hay cita con tu médico hasta dentro de tres semanas, tampoco quieres tirarte toda la noche en urgencias, este es el tercer móvil que te roban pero das las gracias porque a ti al menos no te apuñalaron, estás cansado, quemado y no tienes ganas de nada, pero tranquilo, mañana te va a tocar mantener a medio millón más." La España 🇪🇦 de Pedro Sanchez

here’s the list of western companies moving ai workloads to chinese models: 1. lindy → deepseek v4 2. cursor → kimi k2.5 3. coinbase → glm-5.2 + kimi 2.7 4. shopify → qwen 5. airbnb → qwen 6. uber eats → qwen2 7. siemens → deepseek + qwen 8. chapsvision → qwen 9. microsoft → testing deepseek v4 it’s becoming a procurement story!!!