Of course you loose quite a bit intelligence that way, but if you use a local model (and for many actions a decision model), which can run on a lot of office workers hardware nowadays, you can just run everything locally: local model, local code interpreter sandbox, local file access.
If you don't send the data anywhere remotely (by using a local model, and restricting web access of the sandbox), you don't have to worry about exfiltration of sensitive contents of files, which heavily reduces the allowance prompts for the user.
Obviously that's not in the interest of OpenAI/Anthropic, who are the main providers of "general office work" desktop tools like Cowork.
That’s two replies in a row from two different users, with the same mistake and I feel obligated to let you know that it’s “lose”, not “loose”. Lose is the opposite of win, but also no longer having something you previously possessed. Loose is the opposite of tight, or being relaxed or casual about something. They are also pronounced differently.
An easy way to remember is that lose has literally lost one of its o’s.