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All That Work Just to Hide It?! | Sprinter Camper Build Another glamorous day converting the Sprinter. Crawling around on the floor, cutting insulation to fit then covering the gaps in foil tape to make it look like I’m preparing for the arrival of ET. All this effort for...

21,203 次观看 • 19 天前 •via X (Twitter)

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JAVIER MARTINEZ MONTOYA 的头像
JAVIER MARTINEZ MONTOYA19 天前

Il bet you all paid close attention to what this hotty made.

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The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

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Max Strus says making the NBA required him to accept he doesn’t have a bag anymore and that shooting got him on the floor but defense would keep him out there “I don’t have a bag. I used to have a bag back in college, but I don’t anymore because you find what your niche is and you just go at it.” “I knew shooting the basketball was going to get me on the floor, and then I knew playing defense was going to keep me on the floor. I’ll guard the best player. I don’t care. They’re going to score on me because everybody’s that good. You can’t really stop anybody anyway.” “So it’s like, how can I make it as tough as possible on them? I don’t need to shoot the ball. I’m all right. I can do other things that I know are helping the team win. How can I make Donovan Mitchell better? How can I make James Harden better? How can I make Jarrett Allen better?” “If I feel like I haven’t gotten a shot, it’s like, all right, go crash the offensive rebound and get it. I’m not going to sit here and cry to myself about not shooting the ball or not being involved. Make yourself useful.” “My first couple years [in Miami], I don’t think I dribbled the ball once. Come off a handoff and shoot, come off a screen and shoot, and then defend and rebound. That’s all I did.” “As you continue to build more confidence within the team, within the coach, they put you in positions where, all right, now I can do a little bit more.” “You’ve got to have the humbleness to humble yourself to, ‘I’m not that guy anymore. I can’t be that guy anymore.’ But then be ready for the opportunity when it does come, ‘No, I could still be that guy. That’s just not what we need right now. But when we do, I got you.’”

Josh Chambers

2,757,467 次观看 • 2 个月前