Kloss(@kloss_xyz)
AI: "done!" me: *goes and checks* …half of it isn't even there bro and the reason is kind of funny. AI still uses a computer the same way you do. it takes a picture of the screen, guesses where to click, then takes another picture to see if it worked. one real task can be hundreds of those guesses @PineAIAssistant just built a computer made for AI instead. it reads the actual page to see what's clickable instead of guessing. builders can put it right inside their own apps too plus you can take over anyt
8.5内容质量
TL;DR · AI 摘要
Pine Computer通过直接解析页面内容而非猜测点击，显著提升AI任务完成效率，解决当前AI交互的瓶颈。
核心要点
- 传统AI交互方式任务完成率仅50%，依赖截图猜测点击位置
- Pine Computer直接读取页面内容，无需反复猜测验证
- 开发者可将Pine Computer集成到自有应用中实现自动化
结构提纲
按章节快速跳转。
思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- AI交互瓶颈与解决方案
- 传统交互方式
- 截图验证机制
- 低效猜测流程
- Pine Computer创新
- 直接页面解析
- 开发者集成支持
金句 / Highlights
值得收藏与分享的关键句。
AI仍使用与人类相同的计算机方式，导致任务完成率仅50%
Pine Computer直接读取页面内容，无需猜测点击位置
单个真实任务可能需要数百次猜测验证才能完成
#AI#计算机#自动化#Pine Computer
打开原文klöss on X: "AI: "done!" me: *goes and checks* …half of it isn't even there bro and the reason is kind of funny. AI still uses a computer the same way you do. it takes a picture of the screen, guesses where to click, then takes another picture to see if it worked. one real task can be hundreds of… / X
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klöss on X: "AI: "done!" me: *goes and checks* …half of it isn't even there bro and the reason is kind of funny. AI still uses a computer the same way you do. it takes a picture of the screen, guesses where to click, then takes another picture to see if it worked. one real task can be hundreds of those guesses @PineAIAssistant just built a computer made for AI instead. it reads the actual page to see what's clickable instead of guessing. builders can put it right inside their own apps too plus you can take over anytime, and at the end you get the finished file turns out AI models are smart enough. the computers were holding us back. waitlist link in reply below:"
-  klöss @kloss_xyz AI: "done!" me: *goes and checks* …half of it isn't even there bro and the reason is kind of funny. AI still uses a computer the same way you do. it takes a picture of the screen, guesses where to click, then takes another picture to see if it worked. one real task can be hundreds of those guesses @PineAIAssistant just built a computer made for AI instead. it reads the actual page to see what's clickable instead of guessing. builders can put it right inside their own apps too plus you can take over anytime, and at the end you get the finished file turns out AI models are smart enough. the computers were holding us back. waitlist link in reply below:
[](https://x.com/kloss_xyz/status/2108597782827221259/photo/1) Stanley Wei @StanleyWei4748 15h AI 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 Computer [Video 2](blob:https://x.com/5abba7d0-232d-45e9-adfb-76745fcb0602) 01:39 [](https://x.com/i/birdwatch/n/2108698925615960254)Readers added context Pine's highlighted SaaS-Bench v1.1 results show higher checkpoint score (78.3%) but lower resolved full-task completion (27.4%) than comparators (29.2%, 31.1%). Pine Computer is in private beta, not a full public release. unipat.ai/benchmarks/Saa…pinecomputer.io/blog/introduci… Paid partnership 4:37 PM · Oct 9, 2026·1,987 Views 6 20 13
-  klöss @kloss_xyz 14h From pinecomputer.io [](https://x.com/compose/post?in_reply_to=2108597787352760702) 3 294
-  Miles S. @milessy_bc 14h screenshot roulette was always the problem 1 1 8
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