与「WORK」相关的搜索结果

The latest work has been focused on what happens after a user already has exposure. Getting into a position is only one part of the experience. Managing it needs to feel just as clear. We’re refining how users can understand what they currently hold, what actions are available, and what happens when they make a change. None of this is about adding complexity for the sake of features. It’s the opposite. We want someone to open Zero Stocks, understand their position quickly, make the change they want, and move on without wondering whether they missed something. The privacy infrastructure can be complex underneath. The product itself shouldn’t feel that way.

I dramatically underestimated the value of Grok Bot in my Tesla. Can you technically do everything you’re able to do with Grok Bot in the Tesla just by launching the app on your phone and going voice mode? Sure. But the magic isn’t in the raw capability itself, it’s in the combination of raw capability and total seamlessness. I often have fleeting thoughts while driving around. Some of these things aren’t significant enough to make me fumble around with my phone while supervising FSD, but when I literally don’t have to lift a finger and can just “Hey Grok” anything computer related into reality, I find myself taking advantage daily. And the little things add up. I’m on my way to work and remembered that I have a few documents on my home computer that I am going to need for work. So I just asked “Hey Grok, can you grab those 4 pdf files from my Mac downloads folder and move them into X folder on my one drive?” Now they’ll be where I need them to be when I get to my desk, and I won’t have to re-download them on my work machine. I have to work on a presentation today for a talk in a few weeks. “Hey grok, go into my sales enablement folder and have Claude Code build me a deck focused on X product for Y industry.” Claude already has my full job context, styling preferences etc and can build a nearly finished deck with a prompt. Now when I get to my desk, instead of building from scratch, I can review and prompt revisions before beginning to dig through my email backlog. Feels insane.

📢 Claude Sonnet 5.5 Is Now Live on As @AnthropicAI’s latest Sonnet model, Claude Sonnet 5.5 is the faster, more cost efficient complement to Claude Opus 5.5, delivering 30%+ faster output and up to 30% lower cost per task. Built for software engineering, Agent workflows, and professional documents, with image/PDF understanding, report, presentation, spreadsheet & UI generation, 5 reasoning levels, and a 1M-token context window, with no extra charge for long-context usage. Now available on both API and Web Chat! 👉 Try now: 🔗 Learn more:

Hi, Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan. Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago. (a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want. (b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions. (c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent. (d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet. I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news. Codexingly, Tibo

🚨OpenAI 个人 Agent 名字疑似曝光：不叫 o，叫 Dots ！ 今晚 DevDay 前，构建字符串流出： 🔹短信 / 电话 / Slack / 邮件都能找它 🔹可代下单，先问你同不同意 🔹每个 Dot 有专属 3D 角色，还能按它对你的了解自己长样子 🔹自带虚拟机「Your dot’s computer」，能存密码帮你登录网页 🔹可自己干活、可随时暂停 企业侧 4 月的 Workspace Agents（内部常称 Aeon）像是前身。 那之前传的 “o” 会不会是总控，Dots 才是一个个小人？ 今晚 10am PT 看 Sam Altman 会不会亲手点亮这些点。 #OpenAI# #Dots# #AIAgent# #DevDay# #ChatGPT# #OpenAIDevDay# #SamAltman# #Tibo# #Codex#

You NEED to set this up. The best AI models + the best trading tool!! Connect TradingView to Claude, GPT, Codex, or any LLM in 30 seconds 😘😘😘 TradingView just released its official MCP, so go ahead and delete those old community MCPs. They're not as secure as the official one, and not as easy to use either! It can read charts, data and indicators directly, manage your watchlists, build screeners, set and manage alerts, and analyze any company's fundamentals. Pretty much everything you do in TradingView can now be done with AI's help. Seriously powerful. I made an illustrated guide to the whole setup. Give it a try, it works great.

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord: More in the video and slides below. Open source, Apache-2.0. (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)