We know. But of course the hype of "microVMs" is just a rebranding of existing technologies with some modifications, macOS needed extra virtualization technologies just for containers for years:
Docker Desktop macOS (until 2025): QEMU + Virtualization.framework + Linux kernel (without extra drivers) = "microVM".
Now they use the native Apple virtualization libraries instead of QEMU for both containers and microVMs. [0] Linux never needed to use KVM for containers, but requires it for microVMs:
Linux: KVM + Linux kernel (without extra drivers) = Firecracker "microVM".
In reality, it is different depending on the OS that you are using.
> The core tech is open source so that is good. Will it stay? I guess Turso hosting was not making enough revenue?
You just answered your own question. Why would anyone pay for Turso if the core of the software is available for free and being licenced permissively under MIT?
Because they don't want to self-host/manage it. It looks like this is an acquisition, not an acquihire, so it's unclear whether or not Turso was making enough to sustain itself or not. There are plenty of companies out there who release open source software and make money off of hosted/managed offerings of it.
Liability. Compliance. Chain-of-responsibility. Risk. This has always been the case in business, and it will continue to be the case (at least until artificial intelligence actually replaces that need).
And yet it isn’t, my personal issue that it is. Reddit has been making itself worse in an attempt to make more money for a long time. I have no sympathy for a platform that trades user experience for money like this. Worth noting that it’s trivial to scrape reddit even without rss or an account.
The API lockdown was the last straw for me. When Apollo stopped working, I stopped using Reddit. Sure, it comes up in search results and I'll click through but it stopped being a place I "hung out".
If the README is >90% AI generated and it is as long as a novel, I am not going to read it and will assume that the author did not read or write it either.
Unfortunately it is slop, beyond the comprehension of the author unless they are experienced with DLSS internals to explain it in depth.
But I thought Nvidia “loves open source” (they don’t) and they are now a supporter for open source and open weight models by acquiring Huggingface? (They don’t actually care)
But the line is drawn when it involves CUDA and any part of their closed source compilers (nvcc).
There are obvious reasons why they are closed source, but it’s becoming pointless since Deepseek have open sourced their AI compiler and compute libraries with DeepGEMM and eventually they will catch up.
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