Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
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Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#2Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#3Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#4In a similar fashion, Apple Podcasts app decided to download 120GB of podcasts for random reason and never deleted them. It even showed up as "System Data" and made me look for external drive solutions.
Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#5Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#6> Filed via Claude Code
I assume part of it is true, but determining which part is true is the hard part. I’ve lost a lot of time chasing AI-written bug reports that were actually something else wrong with the user’s computer. I’m assuming the claims of “75% faster” and other numbers are just AI junk, but at least someone could verify if the 10GB VM exists.
Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#7Sure it uses a few GB just like everything else these days, but some of the comments also mention it being slow?
Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#8So contrary to the github issue, my problem is that it's not enough space. So the fix is to navigate to ~/Library/Application\ Support/Claude/vm_bundles, and then ask Claude Code to upsize the disk to a sparse 60 GiB file, giving cowork much more space to work in while not immediately taking up 60 GiB.
Bigger picture, what this teaches me though, is that my knowledge is still useful in guiding the AI to be able to do things, so I'm not obsolete yet!
Re: Anthropic Cowork feature creates 10GB VM bundle on macOS without warning
#9This GitHub issue itself is clearly AI slop. If you’ve been dealing with GitHub issues in the past months it will be obvious, but it’s confirmed at the end: > Filed via Claude Code I assume part of it is true, but determining which part is true is the hard part. I’ve lost a lot of time chasing AI-written bug reports that were actually something else wrong with the user’s computer. I’m assuming the claims of “75% fast…