somewhatrandom9

Perhaps you could ask Mullvad how they did it? You might protect yourself with disclaimers that your results may not be perfect? You still could create a useful/ effective service even if it's not 100% perfect I would think.

If this article is accurate, I hope it leads to an intervention.

I've heard it rumored (maybe on this site??) that it's wise to avoid upgrading to Tahoe, on intel macs, but I don't have any evidence to back this up.

I don't know about solving captchas, but if you are running macOS virtual machines on an Apple Silicon Mac, hardware graphics acceleration is supposed to be natively supported out of the box when using UTM's Apple Virtualization Framework backend.

A primary source of UI lag is how Apple's native virtualization framework processes multitouch trackpad events. There are other issues like mismatched resolutions and framerates, too. Ask your favorite ai to debug. You can try e.g. deselection of the trackpad setting and instead select basic mouse support, and that can clear things up..

Though it doesn't get by all the hurdles mentioned, it is alternatively possible to run Mac OS in a VM on your Mac using UTM and install Claude Code within the UTM VM. UTM can be run under a non-admin Mac account. This can allow you to use most Mac-native tooling, at least. The interactive performance of using the Claude Code ui on the VM isn't great, however. I'm not sure if you can log into the VM via terminal on the host from the non-root admin account to avoid the ui performance issues.

No, I don't think Qwen, but I believe he may try and put some version of GLM in it.

You can get a new M5 Max MacBook pro with 128 GB unified ram (targeted by Antirez for DwarfStar4) even after the Apple price increases, it's less than 7899 by at least $1000. And you probably won't pull more than 100 Watts.

Could these quantized models make MTP (Multi-Token Prediction) significantly faster when used as drafters for larger regular Gemma 4 models?

With "intelligence" (or whatever you want to call it) and speed both seeming to ramp up quickly with local models I wonder what the growth rate and ceiling(?) might be in this space. Will this kind of iq and performance work with just e.g: 16GB RAM in a couple years? Is there a new kind of Moore's law to be defined here?