Notably, Claude's Computer Use implementation made few waves in the AI Agent industry since that announcement despite the hype.
Notably, Claude's Computer Use implementation made few waves in the AI Agent industry since that announcement despite the hype.
87% vs 56% on Webvoyager
58.1% vs 36.2% on WebArena
38.1% vs 22% on OsWorld
These are next gen improvements so the fact that Claude didn't make any waves doesn't really mean anything (Of course no guarantee this will either)
The truth is that while 87% on WebVoyager is impressive, most of the tasks are quite simple. I've played with some browse-use agents that are SOTA and they can still get very easily confused with more complex tasks or unfamiliar interfaces.
You can see some of the examples in OpenAI's blog post. They need to quite carefully write the prompts in some instances to get the thing to work. The truth is that needing to iterate to get the prompt just right really negates a lot of the value of delegating a one-off task to an agent.
No. It's not matching them, it's clearly exceeding them. The previous post provided the numbers.
In WebArena, Operator does 58.1%. Previous SOTA for browser-use agents is 57.1%. In WebVoyager, Operator does 87.0%. Previous SOTA for browser-use agents is the exact same.
See here for details: https://openai.com/index/computer-using-agent/
This looks like its in browser through the standard $20 Pro fee, which is huge. (EDIT: $200 a month plan so less of a slam dunk but still might be worth it)
Is there any open source or cheap ways to automate things on your computer? For instance I was thinking about a workflow like:
1. Use web to search for [companies] with conditions
2. Use linked in sales navigator to identify people in specific companies and loose search on job title or summary / experience
3. Collect the names for review
Or linked in only: Look at leads provided, and identify any companies they had worked for previously and find similar people in that job title
It doesn't have to be computer use, but given that it relies on my LinkedIn login, it would have to be.
MacOS has had Automator since 2005. It's far more like "programming" to use than a 2024-tier ML based system, but it was designed for non-programmers, and lots of people do use it.
Personally, I hate it.
So the workflow for the human is ask the AI to do several things, then in the meantime between issuing new instructions, look at paused AI operator/agent flows stemming from prior instructions and unblock/approve them.
Like a general instructing an army.
I do find it is best when combined with other capabilities so the internal reasoning is more "if Computer Use is the best for solving this stage of the question, use Computer Use. Otherwise, don't.", instead of full Computer Use reliance. So e.g. you might see it triggered for auto-formatting but not writing SQL.
Will report back how it compares vs Operator CUA once we get access!