[HN Gopher] OS-Copilot: Towards Generalist Computer Agents with ...
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       OS-Copilot: Towards Generalist Computer Agents with Self-
       Improvement
        
       Author : lokimedes
       Score  : 36 points
       Date   : 2024-02-17 20:26 UTC (2 hours ago)
        
 (HTM) web link (os-copilot.github.io)
 (TXT) w3m dump (os-copilot.github.io)
        
       | lokimedes wrote:
       | Seemingly beating GPT-4 at GAIA.
        
       | abeppu wrote:
       | At multiple points in the paper, they describe the agent as
       | "embodied", but it seems like they don't really justify their use
       | of that term. Embodiment is a loaded word with a lot of
       | associations in neighboring fields. I think it's a little wild
       | that they're claiming this aspect in their abstract and
       | conclusion and not really touching on it substantively in the
       | body of the paper.
        
       | haswell wrote:
       | It's going to be really interesting to see how work like this
       | impacts the Robotic Process Automation or "RPA" product space.
       | 
       | Many of the enterprise products in this category have used
       | computer vision to help reduce brittleness, but for all of the
       | improvements, these tools have remained highly error prone, not
       | to mention extremely expensive.
       | 
       | The explosion of interest in the category across a broader
       | community of researchers and developers seems like both a boon
       | for the RPA space, and a major threat of disruption.
        
       | marojejian wrote:
       | Interesting. But gut reaction is that the main use for this is
       | impersonating a human, evading captchas etc.
        
       | tudorw wrote:
       | In my wildest speculation behind the gossip of recent goings on I
       | imagine a board comprised of individuals saturated in the
       | technology, presented with the latest technology, a leading edge
       | AI, tasked with improving it's own code, as the board and co. sat
       | back and watched, the machine made improvements rapidly, rapidly
       | enough that the engineers had to admit they could no longer
       | follow the code changes, watched as the AI redeveloped the
       | underlying language then kernel and started planning fabrication
       | technology and how to fund it, mere trillions, the benchmarks
       | were smashed and they hit stop, what do you do next?
        
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       (page generated 2024-02-17 23:00 UTC)