I would also like to toss my project into the ring, which also allows mixing most real-world Rust & Go packages together, on runtime & syntax compatible level. https://github.com/deepai-org/omnivm
Pardon the sloppy readme - it actually does work :)
It's a fascinating article and trend to me. I've been rather obsessed with the amazing technology of text-to-image generation since 2017, when state of the art was an LSTM+GAN and resulted in a blurry image. Now that the technology basically works great, it's just upsetting to a lot of people. I kind of think of AI like making things out of plastic - works pretty well, but basically always resented.
Notice that the article couldn't identify anything wrong with the generated image except for how it was made and how no one got paid.
It makes sense - i build something very similar for my company over the last couple weeks :)
I have a tweak that allows pasting images to claude code over SSH:
How it works:
PTY Interception: It creates a pseudo-terminal (PTY) to wrap the SSH process, allowing it to sit as a "man-in-the-middle" between your keyboard and the remote shell.
Bracketed Paste Detection: It monitors stdin for "bracketed paste" sequences (the control codes terminals send when you Cmd+V or drag-and-drop a file).
The "Hook": When a paste occurs, it pauses execution and scans the text for local macOS file paths.
Auto-Sync: If a local path is found, it immediately syncs that file to the remote server (using the provided SSH key) in the background.
Transparent Forwarding: Once the sync is complete, it forwards the original text to the shell.
You can drag and drop a file from your local Finder into a remote SSH session, and the file is automatically uploaded to the server before the path appears on the command line. Also works with copy paste, screnshots.
I can suggest our service (previously here https://news.ycombinator.com/item?id=44849129 ) that might be helpful -- If you want a zero-setup backend to try qqqa, ch.at might be a useful option. We built ch.at — a single-binary, OpenAI‑compatible chat service with no accounts, no logs, and no tracking. You can point qqqa at our API endpoint and it should “just work”:
My new theory, developing for a while, is that as technology makes things easier, the perceived average quality goes down over time. I've yet to fully understand the factors that drive this trend, but feel certain AI will put it in overdrive! I'm not a luddite or hater actually - but this trend is pretty apparent...
Interesting - I somehow didn't realize that KVM didn't require root access.
Also, I wonder if this could be adapted to use Apple's Hypervisor.framework. That one also doesn't require root and ought to be able to spin up and down very quickly.
I played around with these notebooks a while back, and wondered what you get if you jointly optimize for several different prompts. Has anyone tried this? (Or is this what the article is about?)
Pardon the sloppy readme - it actually does work :)