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A team at Hugging Face has let go of a freely available , cloud - host computer - using AI “ factor . ” But be forewarned : It ’s quite sluggish and occasionally make mistakes .
Hugging Face ’s agentive role , calledOpen Computer Agent , is accessible via the World Wide Web and can use a Linux virtual car preloaded with several app program , include Firefox . Similar toOpenAI ’s Operator , you’re able to instigate Open Computer Agent to complete a task — say , “ Use Google Maps to find the Hugging Face HQ in Paris ” — and baby-sit back as the agent unfold the necessary programs and figures out the command steps .
Open Computer Agent can wield simple requests well enough . But more complicated unity , like searching for flight of steps , activate it up in TechCrunch ’s examination . Open Computer Agent also often run into CAPTCHA tests that it ’s ineffectual to lick .
You ’ll also have to wait in a virtual queue to use Open Computer Agent — a queue moment to transactions long , depending on need .
We ’re launching Computer Use in smolagents ! 🥳 - > As sight poser become more equal to , they become capable to power complex agentic workflow . Especially Qwen - VL models , that funding built - in grounding , i.e. ability to locate any element in an range of a function by its coordinates , thus to…pic.twitter.com/mI8MuWZkIS
Of course , the Hugging Face team ’s finish was n’t to progress a state - of - the - art computing machine - using agent . Rather , they need to demonstrate that open AI models are becoming more capable — and cheaper to run on cloud infrastructure .
“ As vision poser become more capable , they become able to power complex agentic workflows , ” Aymeric Roucher , a member of the agent team at Hugging Face , wrote in a post on X. “ [ Some of these models ] support built - in earthing , i.e. [ the ] power to situate any element in an image by its coordinates , [ and ] thus [ can ] click any item [ in a virtual machine ] . ”
While it ’s far from perfect , agentic applied science is pull in increase investment as enterprise calculate to adopt it to boost productiveness . According to a recent KPMG survey , 65 % of companionship are experimenting with AI agents . Markets and Markets projectsthat the AI agent section will grow from $ 7.84 billion in 2025 to $ 52.62 billion by 2030 .
