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A computer claimed to be the first built for agents, not humans

A user made the claim in an October 9 quote post that linked to another post.

AKAK
Robert ScobleRS
elvisEL
10 Sources, 10h ago, first seen 10h ago

TLDR

In an October 9 quote post, a user described a computer as “the first computer built for agents, rather than humans.” The post linked to another post but gave no further details.

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21.7M

10 Sources, first seen 10h ago

8.5K likes532 comments3K saves1.3K reposts

Combined views

21.7M

10 Sources, first seen 10h ago

8.5K likes532 comments3K saves1.3K reposts
Video from X

Stanley Wei announced Pine Computer on October 9, pitching it as a cloud environment designed around AI agents instead of people. Wei argued that agents become slow, costly and unreliable when they must use computers built for humans through a heavy software harness.

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Robert Scoble described the usual agent workflow as a loop of screenshots, reasoning and clicks, and said Pine instead gives the model access to what sits behind the screen. Another explanation of the service said developers can use Pine’s SDK to create a cloud computer, give its built-in agent a task in plain English and let it work with a browser, files and a shell. The application can receive updates and collect the output when the agent finishes.

The early benchmark account was mixed. Scoble reported that Pine completed 78% of the steps in SaaS-Bench tasks, compared with 74% for Claude Code, but finished fewer entire tasks: 27% versus 31%.

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10 Sources

Stanley Wei@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer10h
Dave Font@davefontenotThe first computer built for agents, rather than humans.10h
Robert Scoble@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.9h
Santiago@svpinoThis is an agentic computer-in-the-cloud-as-a-service. This will give your application access to a cloud computer with a built-in, running AI agent. Imagine you are building something that requires some processing: • Your app uses Pine's SDK to create the cloud computer • You give its built-in agent a task in plain English • The agent has access to the browser, files, and a shell • Your app gets notifications while the agent works • You get the outputs back when done9h
elvis@omarsar0Build for agents, folks! Have said for a while now that models are already very "smart", but need better harnesses and environments. And you don't want to do this because it's cool. The cost implications are massive here. I highly recommend reading the report and comparing how Pine Computer can help your team. I'll do some testing myself and share more soon.9h
AK@_akhaliqRT @StanleyWei4748: AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer b…9h
evan sc / 柳爱华@stitesclayIf you haven't seen Pine yet, they have some of the craziest user stories I have ever heard. Their agents solve real problems for real people. Like selling their car, getting them out of an abusive work dynamic, or end to end claiming an insurance payment. New infra drop:9h
Rohan Paul@rohanpaul_aiAnother brilliant release showing models need better harnesses and environments. Pine has launched cloud computer built for AI agents: developers create one through an SDK, give it a job in plain language, and it plans and executes the work across websites, files and apps instead of driving a computer designed for humans. Running GPT-5.6 Luna, Pine reports ~1/20 the model-token cost of GPT-5.6 Sol + Codex on SaaS-Bench v1.1. Other results on SaaS-Bench v1.1: - 78.3% checkpoint score, highest in the published comparison - 1/26 the model-token cost of Opus 5 + Claude Code - 2 to 5× faster in selected preliminary internal tests, depending on the task4h
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    10 Sources

    Stanley Wei@StanleyWei4748AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness. AI doesn’t need to get smarter. It needs a computer built for it. Today we’re releasing Pine Computer10h
    Dave Font@davefontenotThe first computer built for agents, rather than humans.10h
    Robert Scoble@ScobleizerYour AI agent isn't dumb. It's using a computer built for you. Screenshot. Think. Click. Screenshot again. All so it can read a screen made for human eyes. @PineAIAssistant skips the screen and hands the model what's behind it. On SaaS-Bench, a test of real work inside business apps, Pine got through more of each task than Claude Code: 78% of the steps vs 74%. It did finish fewer whole tasks start to end, 27% vs 31%. Nice to see a launch admit that.9h
    Santiago@svpinoThis is an agentic computer-in-the-cloud-as-a-service. This will give your application access to a cloud computer with a built-in, running AI agent. Imagine you are building something that requires some processing: • Your app uses Pine's SDK to create the cloud computer • You give its built-in agent a task in plain English • The agent has access to the browser, files, and a shell • Your app gets notifications while the agent works • You get the outputs back when done9h
    elvis@omarsar0Build for agents, folks! Have said for a while now that models are already very "smart", but need better harnesses and environments. And you don't want to do this because it's cool. The cost implications are massive here. I highly recommend reading the report and comparing how Pine Computer can help your team. I'll do some testing myself and share more soon.9h
    AK@_akhaliqRT @StanleyWei4748: AI is already smart enough. Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer b…9h
    evan sc / 柳爱华@stitesclayIf you haven't seen Pine yet, they have some of the craziest user stories I have ever heard. Their agents solve real problems for real people. Like selling their car, getting them out of an abusive work dynamic, or end to end claiming an insurance payment. New infra drop:9h
    Rohan Paul@rohanpaul_aiAnother brilliant release showing models need better harnesses and environments. Pine has launched cloud computer built for AI agents: developers create one through an SDK, give it a job in plain language, and it plans and executes the work across websites, files and apps instead of driving a computer designed for humans. Running GPT-5.6 Luna, Pine reports ~1/20 the model-token cost of GPT-5.6 Sol + Codex on SaaS-Bench v1.1. Other results on SaaS-Bench v1.1: - 78.3% checkpoint score, highest in the published comparison - 1/26 the model-token cost of Opus 5 + Claude Code - 2 to 5× faster in selected preliminary internal tests, depending on the task4h
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    Today's Rank

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