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Can you feel it? Computer-use agents are here. This is why AgentTank exists. OpenAI: "before [Computer-Use Agents], you would need to use some specialized API...but if your site, like most sites, doesnt have an API, you're out of luck"

Ben Smith

5,059 subscribers

16,415 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治

Anya Rossi• Live Now

Private livecam show

11 条评论

O 的头像

O1 年前

So $TANK can integrate with other AI frameworks such as Moemates $MATES or Virtual Protocol $VIRTUAL?

Greg Caplan 🚀 的头像

Greg Caplan 🚀2 年前

Stop wasting time following up with leads. Let our AI agents do it for you.

bmerke 的头像

bmerke1 年前

Builders build 🫡 $Tank

Mr. Grade 的头像

Mr. Grade1 年前

The Future🤩🤩

ENOCH BLIGHT 的头像

ENOCH BLIGHT1 年前

The future lies with $TANK 💪

💎🖐 的头像

💎🖐1 年前

$TANK is the future!

Vangar 的头像

Vangar1 年前

The $Tank future!

KID CALLED 的头像

KID CALLED1 年前

$TANK Pioneers in this field, delighted with you from day one.

stickymangorice 的头像

stickymangorice1 年前

Lol. I sold a bunch of $TANK after this. Essentially this tech will become commoditized by open ai $TANK will be nothing special.

Linkward 的头像

Linkward1 年前

yes, sir 👀

Pep Turri 的头像

Pep Turri1 年前

Tank Is diferent

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codex computer use uses secret macos api it makes codex to work while you work with your computer, no need to use virtualized machine but that secret macos api is no longer a secret cuz i found it and re implemented it as an mcp lmao

codex computer use uses secret macos api it makes codex to work while you work with your computer, no need to use virtualized machine but that secret macos api is no longer a secret cuz i found it and re implemented it as an mcp lmao

Q

50,557 次观看 • 1 个月前

OpenAI just released access to Computer Use Agent via an API. It combines GPT-4o vision with advanced reasoning for an AI Agent to simulate controlling computer interfaces and performing tasks just like humans. You can try it for free using this Agent Playground.

OpenAI just released access to Computer Use Agent via an API. It combines GPT-4o vision with advanced reasoning for an AI Agent to simulate controlling computer interfaces and performing tasks just like humans. You can try it for free using this Agent Playground.

Shubham Saboo

64,206 次观看 • 1 年前

Been working on a new UX for agents. It will understand your workflow as you use your computer and proactively nudge you when it can be helpful. I feel like agents are these super powerful beings trapped in terminals and chat interfaces. Now, just use your voice. Demo:

Been working on a new UX for agents. It will understand your workflow as you use your computer and proactively nudge you when it can be helpful. I feel like agents are these super powerful beings trapped in terminals and chat interfaces. Now, just use your voice. Demo:

Farza 🇵🇰🇺🇸

228,929 次观看 • 3 个月前

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95,505 次观看 • 2 个月前

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Y Combinator

62,039 次观看 • 1 年前

1. Claude just launched an API for building agents that can use Computer (see the screen, move mouse, input text, scroll). An open-source app for Mac & Windows 🔗 *fun usecase: a dude asked it to swipe blond girls on dating sites

1. Claude just launched an API for building agents that can use Computer (see the screen, move mouse, input text, scroll). An open-source app for Mac & Windows 🔗 *fun usecase: a dude asked it to swipe blond girls on dating sites

John Rush

106,170 次观看 • 1 年前

If an agent can automate Salesforce reliably… it can automate anything. It's the final boss of browser agents - nested iframes, dynamic components… pure chaos. So I stopped fighting the UI. It feels like pure magic. Record the workflow once → the agent reverse-engineers the API → you get a clean, reusable API. Agents won’t use UIs. They’ll use tools they create themselves. Comment a site like “salesforce?” and I’ll send you the agent.

If an agent can automate Salesforce reliably… it can automate anything. It's the final boss of browser agents - nested iframes, dynamic components… pure chaos. So I stopped fighting the UI. It feels like pure magic. Record the workflow once → the agent reverse-engineers the API → you get a clean, reusable API. Agents won’t use UIs. They’ll use tools they create themselves. Comment a site like “salesforce?” and I’ll send you the agent.

Magnus Müller

24,912 次观看 • 8 个月前

🌐@Hyperbrowser just launched HyperPilot: a playground for all the leading AI browser agents like OpenAI’s CUA, Anthropic’s Claude Computer Use, and Browser Use. And you can try it out for free.

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Y Combinator

52,037 次观看 • 1 年前

GPT 5.4 Computer Use is wild! 🤯 it's completely free if you're subscribed and unlocks tons of new things here's how you can use it 👇🏻

GPT 5.4 Computer Use is wild! 🤯 it's completely free if you're subscribed and unlocks tons of new things here's how you can use it 👇🏻

Robin Ebers | AI Coach for Founders

80,044 次观看 • 5 个月前

The age of AI agents is here. Models can read, see, talk, and now, even use a computer— all by themselves. One of the first out of the gates is Anthropic’s Claude Computer Use. YC's Garry Tan dives into how it works, what it can do, and how it may change AI forever.

The age of AI agents is here. Models can read, see, talk, and now, even use a computer— all by themselves. One of the first out of the gates is Anthropic’s Claude Computer Use. YC's Garry Tan dives into how it works, what it can do, and how it may change AI forever.

Y Combinator

265,946 次观看 • 1 年前

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,425 次观看 • 1 年前

Today we're excited to launch Action: a Claude computer use launcher for macOS. Action is a macOS launcher that can take actions (click, type, and more) on your Mac using Claude’s computer use API. The interface is a floating window triggered by a keyboard shortcut, similar to Spotlight. This lets you see what the model outputs as it performs actions.

Today we're excited to launch Action: a Claude computer use launcher for macOS. Action is a macOS launcher that can take actions (click, type, and more) on your Mac using Claude’s computer use API. The interface is a floating window triggered by a keyboard shortcut, similar to Spotlight. This lets you see what the model outputs as it performs actions.

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21,622 次观看 • 1 年前