willwade

I worked for .name briefly right at the beginning of their entry into the world. Interesting but very odd part of my career.. Ill give it that.. I personally found the product at first a great idea but somewhat crippled by execution..

Sony presented a simpler solution to this at CHI https://dl.acm.org/doi/10.1145/3772318.3791397 - check video in that. Also it seems every Cornell student is working on this. Just search on YouTube Cornell silent speech

Interesting. It sounds like something I was doing : https://github.com/Smartbox-Assistive-Technology/app-automat... my use case though is people with disabilities. Not robots.

It's been done for a while - follow the links to who they reference. ie https://www.tolt.tech but it's their integration they've done into the OS is interesting.

I can promise you it isn’t. This totally predates llms. Been using them for a long time

Use those a lot to (always try and focus off the shelf first). But for cases where we need to position differently we often need something custom

I’ve provided a lot of different of the balls. Last one was for someone in bed and needed to control the whole pc with his chin. We adapted the base to fit on a mount. Other uses for people with ALS with reduced hand function - altered the ball shape to hold the hand.

I’ll give you a use case. People with disabilities who can’t use the keyboard. Ploopy stuff has been absolutely amazing.

I find that the new "drug" is constantly hunting down new cheaper models.. z.ai/glm, mistral, deepseek.. if you need to get your fix - find the cheaper path..

take a peek at https://github.com/willwade/app-automate?tab=readme-ov-file#... - its early and needs some work -but this is the idea behind this.. (my use case is not agents but actual real disabled people..who need tooling to provide better access to the desktop)

Interesting! I started something - nowhere near as complete as that and quite different but again using accessibility UI elements. The BIG problem I've found is SOOOO much stuff does really poorly having these elements exposed. Here was my approach https://github.com/willwade/app-automate?tab=readme-ov-file#... - What I do here is build UI templates - either using UIAccess OR using a one pass using a vision model.

Now the argument against this on [reddit](https://www.reddit.com/r/openclaw/comments/1s1dzxq/comment/o...)

"my experience is the opposite actually. UIA looks uniform on paper but WPF, WinForms, and Win32 all expose different control patterns and you end up writing per-toolkit handlers anyway. Qt only exposes anything if QAccessible was compiled in and the accessibility plugin is loaded at runtime, which on shipped binaries is basically never. Electron is just as opaque on Windows as on macOS because it's the same chromium underneath drawing into a canvas. the real split isn't OS vs OS, it's native toolkit vs everything else."

It gave me strong vibes too. It’s the writing style. I’ve seen OpenAI write just like this. Doesn’t mean it’s bad. There’s a few other markers. Note “silly” in quotes and over use if that word. Once would be enough. But also this is very very typical. The bolting and short quite direct and a bit repetitive statements “it absolutely does not solve “dumped a bag of candy on a messy kitchen table and took a dramatic iPhone shot.”

Real example programs are where the joke becomes a language I didn’t want this to stop at “hello world with candy colors.”” The over use of quoting. The bold. It’s not like a human wouldn’t write this. But it’s unusual for a human to do this imho. All the same - it feels novel. And at the end of the day it’s a neat idea. It’s just we enter this new brave world where things written like this give you the ick. “Where do the ai learn this from?” Well I wouldn’t mind betting the author asked it to be written in a hn style post.

how did you redact the sensitive data? did you use a library for that?

this is so cool. I think so much of the logging Saas products are bloated. This looks much simpler. I'd like a python interface.. I've used papertrail and datadog for some of this in the past but dropped it due to cost (and bloat). Nice one.

.. and fentanyl for sure right? surely its the largest producer of fentanyl.. or is it cocaine? hold on whats that drug ICE? ah thats it..

sorry.. global gitignore.. what have i been doing..

that to me looks like a error in whatever logic is behind the positional error code. You'd think they would have transformer models based on different layouts but maybe some weighting issues going on.. ie I would have thought its a model that is altering based on likelihood weights and maybe something up with that..

I wonder if this would have been useful https://github.com/microsoft/presidio - its heavy but looks really good. There is a lite version..

can i have this between my machine and git please.. Like its twice now I've commmited .env* and totally passed me by (usually because its to a private repo..) then later on we/someone clears down the files.. and forgets to rewrite git history before pushing live.. it should never have got there in the first place.. (I wish github did a scan before making a repo public..)

Meta cheated with the mms models. That is they didn’t use a phonemeizsr step. This means they just won’t work or sound very strange. ASR data is usually not quite right for tts. But anyhow - not really answering your question but many of these languages already done in mms. Try them https://huggingface.co/spaces/willwade/sherpa-onnx-tts

We built this for our use case (we create solutions to help people speak who have a disability). This is a prediction model you can run in node or the browser. Next word, next character, word completion.. PPM is old - but still rocks

I’m interested to see how this compares with other heroku clones. The compassion stuff is interesting. I’m using apps on digitalocean. Can we get a comparaison of using app with droplet+blossom?

I’m with the other person too. Drop the emojis and your confidence goes up. We all know coding agents JUST LOVE filling up a document with emojis. It makes you wonder if it’s imagined the benefits too

Yeah I totally want this. How much data are we talking about on average?

See also https://github.com/mikeborozdin/vibe-composer-midi-mcp?tab=r...

I’ve developed a couple of fine tuned t5 grammar correction models. Is the model or training open?

oops. my bad. I take it back :)

Their opentext API is actually largely marketing - infact so much it worked - Im going to make some Monster cakes https://opentextapi.monsterenergy.com/opentext/images/ecde50... - https://opentextapi.monsterenergy.com/opentext/images/a1e8b8... Yum! Thanks! Count this the first time in history has sold me something

Your datasets. Are they public? For more under represented languages we DONT need closed voice models - what the world really needs is open voice data repositories (eg TTS ready voice banks AND phonemization db in projects like Mozila CommonVoice). Why? Because there is so small need commercially these countries are not commercially viable - but we DO need TTS for assistive technology purposes and this has very little $$$ associated with it

(Saying that Urdu is NOT a small population so well done..!)

I'll save someone the googling since I just did. You need some hardware to hack: I think this is what you need: https://www.rtl-sdr.com/buy-rtl-sdr-dvb-t-dongles/

anyone else wants to try sherpaOnnx you can try this.. https://github.com/willwade/tts-wrapper we recently added in the kokoro models which should sound a lot better. There are a LOT of models to choose from. I have a feeling the Droid app isnt handling cold starts very well.