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I also expected screenshots there, especially given the word "interface". Turns out, it's not about user interface (UI), it's about programming interface (kinda API). It allows calling window-related functions on Macintosh, X Window System, and Atari. So the resulting windows were looking like a native UI, I assume.

The readers' natural question is 'does this look reasonable on multiple platforms?'. A two-second glance at two or three screenshots goes a long way to answering that.

In hindsight, this sounds more reasonable in 2026 where graphical documentation is taken for granted. In those days I think anyone would have spooled the .ps to their nearest laser printer and begin building something quickly with it just to check the looks.

I remember following a "build your own text windowing system" tutorial printed in a hcontinous paper back then


The document looks to be nicely rendered, likely from Postscript. Maybe generated by roff, since it doesn't look like TeX. Screen cap bitmaps could be converted to EPS and inserted into the Postscript.

If it was a PS document, you would have to spool it to a printer or screen renderer to read it anyway. The X Window System debuted in 1984, so on-screen renders would have been not too hard to find in a CS department in 1989.



There is a dolphin language model project from Google and Georgia Tech: https://blog.google/technology/ai/dolphingemma/


That's exactly the kind of thing I was hoping people were working on!


As far as I understand, the MMS TTS models are trained from scratch (section 7.1 of [1]), they do not employ any SSL models. So the OmniASR SSL models are not useful here.

What might be interesting is the newly released OmniASR data, because the MMS data, which was used for the MMS TTS, was never released.

Also, the OmniASR can be used to transcribe some untranscribed speech to train a TTS on it.

[1] MMS paper: https://arxiv.org/pdf/2305.13516


You’re completely right, I misremembered. I edited my post.


How is/was the data written to disks? Something like rsync/netcat?


We use the same nginx rust server to do file writes, it's done via web requests


Probably a mix-up with the recently released Huawei model:

https://qht.co/item?id=44441447


What is the motivation to move startup from Canada to Germany, if I may ask?


I would be interested to see this reproducibility study.


Could this (or something similar) be found in public access/some libraries?


There is only a single paper that has published a similar derivation but with a critical mistake. To be fair there are many documented examples of how to derive parametric relationships in linkages and can be quite methodical. I think I could get Gemini or 3.5 to do it but not single shot/ultra fast like here.


Telegram?


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