Wasn't this an official build though? A signed updated version of a package released by the same developer as the one you've already installed, the supply chain was hacked.
300 karma · joined February 3, 2024
DM: properbrew@blazingbanana.com
Wasn't this an official build though? A signed updated version of a package released by the same developer as the one you've already installed, the supply chain was hacked.
I actually did and whilst I can understand how ridiculous it sounds, to be honest it kind of makes sense. A large number of emergency vehicles at a scene at night can become it's own mini light show which can be really distracting / blinding.
https://standbygroup.com/uk/sync-breathe/
It does look kinda cool though.
Download links and a bit of write up here - https://news.ycombinator.com/item?id=48528779#48535207
Honestly you can probably build your own quite easily. I put together a plex player for firetv that does on device subtitling for whatever you're watching. I got sick of having to find subtitles.
Thanks for listing the model you're using, I've not really done any TTS stuff and this sounds like a fun thing to spin up.
This seems to be the case with most industries that LLMs are impacting, coding, data input, legal etc.
Whilst it's great to get the time saving from not delegating to a junior (LLMs are much faster at the basic level 1 work) there's going to be this big knowledge gap that you really only gain from actually doing the mundane boring shit.
A lot of this _should_ be automated away, but we really need to think about how the next group of people are going to learn the skills and nuance to applying them. I don't really have an answer to that one other than still giving that work to junior staff, but they will then just utilise an LLM to help complete the job, and rightfully so, I'd have done exactly the same thing.
I think OpenAI tried doing this with some early chatgpt settings with "learning mode" or whatever that is. But an LLM just telling you what to do will never teach someone, there was something about having to go out and hunt for the answer through the sea of crap responses or wrong SO questions that really taught you something. How do you replicate that learning with an LLM and how do you apply that to different industries like Law?
For example I had a VR setup of GTA5 with adaptive triggers during covid but it eventually degraded due to updates and compatibility issues. Quite literally today I opened codex and had it up and running with custom patches for some bugs I used to deal with in a few hours.
I would start by asking it how to start and then digging away.
Yep, really would have loved to see that video. Why mention it and not link to it.
Latest updates around audio processing and quality are out, I've also made a substantial addition by implementing extensions.
This allows people to hook up to M365 or Google to get desktop notifications to start the recording, it can also export to share point and stop the recording at the registered meeting end.
Was a fun process keeping the offline and online functionality completely separate, also getting validated by Microsoft for the M365 extension was a bit of a chore, but finally have the verified blue tick.
https://getsoftwarehouse.com - I'm also working on the governance layer for AI tooling that is being built by employees, there's just HTML files flying all over the place, no security, no home. So built software house as a place for these things to live, be secured, put OIDC in front etc. It's fun!
We could go back and forth on the analogy but I think it comes down to one of two things:
1. You enjoy writing code to fix a problem
2. You enjoy fixing problems and solve that by writing code
If you're in camp 1 then AI feels extremely unfulfilling and understandably so, for camp 2 it's a whole new world.
The human in your analogy would be better off working with animals on a farm, or vet practice, where the technological advances that deliver better care to animals would make them feel even more fulfilled.
Sure your one shot generic websites don't really have any "skill" or "honour", I may as well just read a text file of what you wanted to say (and I'd prefer that), but to say there is no sweat, tears or skill to using _any_ generative AI is a little bit narrow minded.
> my issue isn't the use of AI at all (I use it myself), the problem is being able to recognize a carbon copy Claude/Codex design in <5 seconds. At that point I can't help but assume it's just slop that was fired off with a couple prompts and not worth my time engaging any further.
You absolutely hit the nail on the head.
I think the AIslop of websites is down to the lack of vision or user journey and just going with the default which will always be generic and bland.
If it does feel in the "AI style" I'd love to understand what it is.
I had to rent a van that had everything "integrated" in its display. Absolutely atrocious software, latency and responsiveness for standard things such as temp and fan speed.
Also withholding this "extra" means you have to take your eyes off the road and look down to the right/left to make sure you're doing the right speed. Sounds a bit over the top, but I wonder if these designers think about the fact they might actually be the ones responsible for people dying in crashes.
Some great suggestions, appreciate you taking the time to write it out, it's given me some things to think about.
I might take another look into doing it in a different way that gradually builds up from successful calls, I just need to think of how to do this in a simple(ish) way for non-technical users and a way that still works well enough on low to mid tier laptops.
Ahh yea as for the models:
Speech to text - Nvidia Parakeet TDT 0.6b V3
Diarisation - Nvidia Marblenet for the speech detection, TitaNet-Large for the embeddings and then using NeMo multi-scale to do clustering around them
Two more improvements, audio quality improvements which is currently in the works and close to release and a new document generation model. I'm currently using a custom fine tuned Phi-4 (released December 2024!) model, that's _so old_ in the grand scheme of LLMs, I just haven't had time to benchmark and properly test some new models whilst this currently does a good job as it is. There has to be some gains here, but who knows!
It's a hard problem I've been working away on for a while now. It's far from perfect but every step brings it a bit closer.
Inbetween that I've been working on a "software house" (don't know how else to describe it). Pretty much codex/claude running on a VPS with a web interface and the ability to actually build and publish software / webapps etc.
It came from me sitting on the train on the way home and I had an idea pop into my head for a pebble watch app, I wanted to build it and test it there and then as I still had about 45 mins left. I know you can run codex against git repos in the cloud but I didn't want to faff with that (and last I remember the allowances for this were much less generous). It's been really fun, probably many things like this out there but it works exactly how I want it to. I plan to open source it once I've tidied things up a bit more.
You probably don't need the AI _they_ shoehorn in.
Thank you for the inspiration for a weekend project!