I've been working on this little project (clanker assisted) to use local TTS models to convert articles (or any text really) to audio and expose them as an RSS feed so you can listen to them with a podcast app. Kind of nice when I have some reading queued up, but I'm out and about. Check it out - https://t.co/Q42pu3HYSx
Yeah, so I pretty much feel the same way. I enjoy coding and don't want my skills to degrade, but I realize I would be less concerned with these things if we had access to good local models. So, I think my main gripe is that I don't feel in control of the process in which I've previously found freedom.
So with the whole โagentic loopsโ thing - I havenโt seen actual implementation details and so far proponents have talked about it in a vague or opaque way - how do you monitor the internals of it? If one agent produces a โnegativeโ artifact, how do you prevent it from poisoning the rest of the loop and future outputs? Like I imagine you need each agent to operate in a very simple and confined way to achieve as deterministic of an output as possible, but I keep imagining one bad artifact posing the โloopโ and causing major headaches in course correcting.
Generally, agree - a capable local model is highly attractive for many reasons which I think would draw users away from frontier providers.
Specialized models are interesting especially if it optimizes compute. But it also introduces the problem of fragmentation. There will need to be a good way to orchestrate so many different kinds of models. One good thing about the frontier "generalist" models is that you sort of interact with them the same way for each task you do.
My main motivation was that I didn't want to pay for an app that did this and wanted to experiment with local models (it's more fun to own these things). You do need to run setup Tailscale and run a local server though - so there is a bit of setup involved. But it's worked well for me so far.
I've been working on this little project (clanker assisted) to use local TTS models to convert articles (or any text really) to audio and expose them as an RSS feed so you can listen to them with a podcast app. Kind of nice when I have some reading queued up, but I'm out and about. Check it out - https://t.co/Q42pu3HYSx
I kind of just enjoy running for the sake of...running. Not everything needs to be gamified and maybe you should be reflecting more on your mindset if you need something like this. If you are this reliant on technology, I would encourage you to try to run or at least walk for an extended amount of time without any use of technology - just put the phone and earphones away.
๐โโ๏ธ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display.
I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top.
Pick up coins when you keep pace, sprint zones reward extra points if you push, and a mini leaderboard on the lens shows how you're tracking against your past self in real time.
Best part: it actually works. Seeing your ghost 20 m ahead is a way stronger nudge than any number on a watch. ๐