Look into openepaperlink. It’s an open source project that integrates with home assistant, and lets you control multiple tags over WiFi with just one device. you can create custom display setups in yaml to show anything you want.
my favorite that I have set up is a tag in my bathroom that shows me today’s weather and chance of rain when im brushing my teeth - I haven’t been caught by surprise in the rain since :)
if you read the thinking context while in plan mode (I had it shown to me, i think mistakenly, by switching modes while Claude was thinking a week or so ago) plan mode is just a pre-prompt saying “you are now in plan mode, don’t propose edits, read the code and understand how it works.”
really good piece, sums up almost exactly where I'm at with AI currently.
cognitive debt is a real problem in my domain (embedded software) because AI simply can’t debug the symptom when the reasons for the bug aren’t in code, and a stack trace may not exist. finding the REALLY hard bugs requires in depth systems understanding and the ability to connect things you’ve seen around the codebase together - and the fix usually isn’t adding code, which means the patchwork fixes Claude likes to do only makes things worse.
that said, it’s made writing harnesses and supporting tools WAY easier and faster, and my workflow is better for it. Searching the git history for the why of things is also made way easier; helping me to reason more effectively
For determining the number of balls, i had an idea but not sure of how well it’d fit in. Could you feed the listing title, unit count, and description into an LLM with a basic “figure out how many balls are in this listing and make sure that number makes sense with the price” prefix prompt and then store that number with the ASIN? One LLM call per product should be pretty low cost, and it could automate a bunch of repetitive manual work
As much as I love simple deterministic things, this is a classic example of where NLP is better than hardcoding a list of keywords. Trying to guess every set of quantity keywords with various spelling, punctuation and how they interact ("1dzn box, two pack" is actually 24 balls) seems more brittle than an LLM.
You're probably right. I can see how LLM is the better way to approach this. I haven't looked into AI usage fees or anything, but I would think the amount of queries I'd send wouldn't be that expensive. I'll look into it.
That was 2 generations of hardware ago (4th gen Chrysler Pacificas). They are about to introduce 6th gen hardware. It's a safe bet that it's much cheaper now, given how mass produced LiDARs cost ~$200.
Otto and Uber and the CEO of https://pronto.ai do though (tongue-in-cheek)
> Then, in December 2016, Waymo received evidence suggesting that Otto and Uber were actually using Waymo’s trade secrets and patented LiDAR designs. On December 13, Waymo received an email from one of its LiDAR-component vendors. The email, which a Waymo employee was copied on, was titled OTTO FILES and its recipients included an email alias indicating that the thread was a discussion among members of the vendor’s “Uber” team. Attached to the email was a machine drawing of what purported to be an Otto circuit board (the “Replicated Board”) that bore a striking resemblance to – and shared several unique characteristics with – Waymo’s highly confidential current-generation LiDAR circuit board, the design of which had been downloaded by Mr. Levandowski before his resignation.
The presiding judge, Alsup, said, "this is the biggest trade secret crime I have ever seen. This was not small. This was massive in scale."
(Pronto connection: Levandowski got pardoned by Trump and is CEO of Pronto autonomous vehicles.)
I’ve been wanting to get rid of Spotify for months as the service has been getting worse and worse and this might just be the straw that breaks the camels back.
Does anyone know of alternatives with
1) decent discovery for new music
2) preferably not self hosted
3) a functional Linux desktop app
4) allows downloading playlists for offline listening
getting all of these in one place and having them work well is why I’ve been stuck with Spotify for so long :/
https://kubuntu.org/news/kubuntu-26-04-release-notes/
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