My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Planning code changes with GLM-5.2 using a Mistral Studio API key and implementing code changes using the Mistral Vibe API key has worked well for me. At my basic subscription tier, Vibe will share data with Mistral. It works for me because, when it comes to privacy, I care less about the actual code and more about the planning / high-level stuff.
> My best experience with Mistral has been with their expensive GLM-5.2 model. It's actually developed by Z.ai, but unlike Z.ai, the GLM-5.2 at Mistral can be used at a low price without training on your prompts - but only if you remember to hit the privacy toggle in their admin settings.
Same here, actually. I'm American but have had a Mistral sub to supplement local models. The Mistral models, IMO, are very hit or miss, and I was about to cancel my sub until I saw they added GLM.
Thanks for the pointer! I had set up mistral a while back using pi to compliment my local Qwen usage, but I found Qwen to just be better for all of my tasks at a substantially cheaper price, and reasonably fast tps. I also tried signing up for z.ai, but they would never send me an email to sign in. Using GLM through mistral to compliment my local models seems like exactly what I want.
Qwen is leaving a strong impression on me as well. Qwen-3.8-Max via openrouter has been a strong performer for me. I run it in autolith and then have claude code check the commits. Claude highly praises the quality of the work. Lol
I hope this means OpenAI might become a contributor to Asahi Linux, lest their hardware investment become depreciated due to planned obsolecense by Apple.
I imagine Apple could also grow their business in the EU by marketing to companies who want powerful AI features but can't leverage 3rd party AI services due to GDPR. If only they could come up with iOS, App Store, and developer policies that respect the sovereignty of the EU.
Agricultural fertilizers are what causes the algal blooms. Will the fertilizers harm the shellfish? Perhaps the fertilizers themselves will not, but the toxins produced by algae might. So for the best results, there would need to be a shellfish that's both resistant to algae toxins while also being safe to eat.
Members of my C-suite are doing this today on a raspberry pi, so the promise is not empty. Key difference is they aren't using local AI to do it.
For the M5 Ultra, I suspect it would be valuable for someone who wants to achieve all the above and more, but with local AI due to data privacy concerns, and also not regulated data that comes with lots of other requirements solved by more traditional approaches.
Three possibilities:
1. The type of person who deals with lots of intellectual property using expensive Mac-only desktop applications that aren't meant for servers, whose mind has formed positive associations with the term "Apple Intelligence", whose values overlap with Apple's lawyer's values, who actually stands to profit from having a Mac that's more powerful than anyone else's Mac, whose long-term goals are not impacted by planned obsolecense on a piece of computer hardware costing over $25k ($50k after 1TB SSD add-on).
2. Trust fund beneficiary who wants to show off, LARP as #1, prime target for Apple's marketing.
3. 2026 kit for billionare-class iPad babies. All brain rot content is 100% local AI-generated. Never have to speak to your children again. A true "we have dead internet theory at home" machine.
If you actually want to learn, highly recommend a visit to https://old.reddit.com/r/LocalLLaMA/. People there are running stacks of 2-4x DGX Sparks to get to similar levels of memory, at similar cost.
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