与「Persona」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

Ask Maps is getting an upgrade. 🔍✨ Now powered by agentic capabilities, real-time information, and Personal Intelligence, Ask Maps is transforming how you plan and move through the world.

Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is: It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years! Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix. (Updated post: slightly redacted to not have some personal info)

Today we are releasing Cloudflare OS, a chatbot with connectors, just like every other tech company is doing. Except actually, it's different. This is a remake of Sandstorm[.]io, my startup from 10 years ago, except this time built on Cloudflare Workers (the platform I've spent the last 9 years building) and deeply leveraging AI. This is more or less the culmination of my secret 10-year master plan. This is a full-on personal app vibe coding platform, in which the sandbox is so secure that you can pretty much go wild -- the AI cannot introduce a significant security bug. We believe a company's security team can feel comfortable giving non-technical users permission to vibe code and then sleep soundly at night. How is that possible? It's the Sandstorm security model, revisited. A "Gadget" is the same thing as a Sandstorm "Grain": a fine-grained app instance. For example, if you have a document editor app, each document runs as a separate instance of the app, in a separate sandbox (one "Gadget"). This means two things, both of which I think are Big Deals: 1. The platform can manage all access control, by controlling who can access the Gadget at all. There is no way the Gadget can accidentally leak itself to an attacker -- even an attacker who has access to other Gadgets based on the same app. 2. Since everyone is running their own copy of the code, everyone can freely *modify* their copy of the code. Think about #2# a bit more. What if, when you wanted a new feature in the software you are using, you could just prompt your agent to add it? This doesn't work in the cloud Software-as-a-Service model, because you are not running your own copy of the app. Sandstorm tried to change that 10 years ago, but the world wasn't ready, because not enough people had the skills or patience to actually modify their software. AI has changed that. Now you just ask the agent -- the same agent that you are using to help you interact with the Gadget can also modify the code of the Gadget. And it is so fun.

i’m so overly grateful that i was able to make my own personal decision, and that i wasn’t made into a victim of this field. i’ll forever be thankful for the people who have supported me along the way and made all of my goals a reality 🫶🏻🫶🏻

to make a blanket statement such as “women are not victims of the porn industry” is tone deaf. personally, i, like many others, made my own decision to work in this industry. but that doesn’t mean that all women choose this. many ARE victims to this industry, unfortunately

Un multimillonario subió al escenario, agarró un marcador y en 42 minutos explicó cómo funciona realmente la economía. Gratis. Sin vender cursos. Sin promocionar fondos. Dibujó tres fuerzas en una pizarra blanca: crecimiento de la productividad, el ciclo de deuda a corto plazo y el ciclo de deuda a largo plazo. Con esas tres líneas explicó casi todos los crashes, recuperaciones y decisiones de tasas desde 1929. Las escuelas de negocios cobran 200.000 dólares por enseñar frameworks que él resolvió en los primeros 15 minutos. Algunos de esos modelos todavía se consideran “propiedad” en grandes bancos y él los regaló en YouTube. Lo más interesante: en 2018 ya estaba dibujando lo que después pasó en 2020. Tasas en cero. Bancos centrales sin herramientas. Impresora de dinero a toda máquina. Lo escribió en la pizarra como si estuviera leyendo el periódico del futuro. Hay gestores de carteras de primer nivel que hacen que sus analistas junior vean esta charla antes de tocar un terminal. No el material del CFA. No la formación interna. Esta. Millones de personas la han visto. Casi nadie puede nombrar las tres fuerzas que dibuja en los primeros diez minutos. Y sigue estando gratiss. Te recomiendo ver y guardarlo. ES UNA JOYA.

A good research agent should't just answer a question. It should know which tool to call next. At every research workflow is carefully designed as a sequence of actions: 1. Clarify needs 2. Plan the study 3. Search personas 4. Scan social media 5. Build new AI Personas 6. Interview or run group discussions 7. Generate the research report and reusable panel Each step uses different tools to move the research forward. And the report is not the end. The Personas involved become a reusable AI Panel — a consumer asset you can return to whenever you have a new question. Validate an idea. Design a product concept. Analyze competitors. Build a go-to-market plan. One research workflow can become a reusable system for understanding the people you're building for. 👉 Start your AI research from here: