1,525 karma · joined September 1, 2011
Hi - sorry if this is not your expertise, but I thought I might as well try asking. I live in ~central Manhattan, in a ~40th floor apartment with a corner view with large windows meanings lots of glass through which sound will travel. For around a year now there's been an annoying high tone coming from somewhere nearby, I would suspect perhaps some large AC fans, or maybe generator coil whine? It's persistent, around both ~2587Hz and ~2475Hz peaks, so a quite high pitched tone that's been driving me insane. The moment I open a window it's just excruciatingly "there", and even with windows shut it's still faintly there in background.
I don't know how somehow no one else has complained/gotten it fixed in this long. I'm overall use by now to manhattan noise, but this kind of persistent high pitched tone is another level of noise annoyance. I know the general direction it's coming from, and have few ideas for which buildings/devices it might be based on just seeing from my window, but pinpointing this kind of tone is difficult.
Again, might not be your expertise at all, but if you know of how I could proceed with it, to either find the source, and/or report this somehow for an investigation (311 ? some other agency? ) ? Thanks upfront!
I have Infuse app for playback on my Apple TV, and recently tried to play, from my local nas on 10Gbs link, some 4k ProRes footage. I forget if it even has the decoder for it, but just the bandwidth wasn’t even enough to play that. Honestly also from experience, playing from local network a 80GB BD remux is also kinda so-so. Random hiccups for me during normal playback. And just completely unreliable fast forward/backwards seeking.
Truly crazy how much Gemini still hallucinates, especially things which its own Google documentation or just a basic web search away. I feel it’s mostly solved problem with chatgpt/claude , but for me, with Gemini it’s almost guaranteed it will just make stuff up
I really can’t believe how bad the Gemini experience is. I have personal paid workspace account, and meant to have some better AI Google features I think.
So, I connected my Gmail to Gemini. 3.6 Flash kept telling me it doesn’t have any Gmail connnection, and then proceeded to hallucinate instructions for me to enable it, all bogus. At least 3.1 Pro realized that my Gmail is connected and then searched.
All I want is all the mail and attachments downloaded locally the way normal desktop mail clients work. Not the last 90 days of it (Gmail ios max) - all of it, I don’t care if it’s many gigabytes or more, i just want the full mail, so that something as full text local search of the email would actually work…
1) double checking whether it actually does, does it? 2) Which chains are supported, and how’s the x402 being handled - your service self hosted or third party?
And then you end up with image metadata processing code like this, which just by a cursory glance I’m sure has edge case bugs : https://github.com/allenv0/SCM/blob/main/screenshot-probe.js
https://www.amazon.com/gp/privacycentral/dsar/preview.html
Scroll down on that page to “request all data”
I live in central nyc, been only a few times to a Costco, and had no idea they even do any shipping! I assumed that part of all those good prices is the smaller selection, large minimum quantities, and that you have to get yourself there with a car to get it in person.
* I often used it as a way to make reviews significantly easier for the reviewer. If I split something more complex into smaller units where the small change seems obviously correct, it's much more likely i'll get a faster accept than with a very large change.
* Critically, once a unit of the stack has been approved, the approval will still stay with rebases of the whole stack.
* You can keep building up a stacs and once you think you have enough for whatever you are doing, ship the whole stack.
* Suppose you have a 'hole' in the reviews and you're missing a review for a middle part of the stack. You can still merge the bottom part up to where all are reviewed.
* Let's assume you're the reviewer: smaller changes is much easier to review. Also, each part of the stack builds incrementally on the previous one. With your example, suppose you're reviewing 'api changes' part of the stack, but it has failing tests because something is broken with the lower 'db schema changes' change - but otherwise, the 'api changes' diff looks fine - you can then accept it and this part of the stack is already reviewed. The author can now whenever fix their bottom-most change (db schema change) to have tests passing, and get someone to review that (perhaps someone completely different more familiar with db), and then rebase the 'api changes' diff, and _it will not_ require review because you haven't changed anything, just updated the diff underneath it. In this way you parallelized your approvals. Right now at work, using github, I have to serialize my PRs and can't effectively get things reviewed until the previous PR is approved.
And I ask for details because I have attempted something similar but wasn’t getting the best results. I was using ‘3d scanner app’ (which was good but was sold and is not recommended now), and that created pretty decent models, but like, they were still I think based on lidar and not super precise. I also wasn’t sure how to reconcile my actual floor plan with that 3d model the right way - like if the 3d model got some error built-up, the wall which I know to be 100 inches has to be that, and not 101 or 99, since for furniture planing an inch definitely matters. So I kind of got stuck here on how to actually generate some useful and as correct dimensionally as possible 3d model, into which I can later put furniture 3d models into. Thanks for any info!
I do such more careful planning and AI handholding at work where it’s important the thing doesn’t break in prod, or doesn’t forget about some important use case.
But this was just purely for “fun” / homelab style type of vibe coding where I don’t want it to feel like work and write intricate specs and handhold the agent - point being the current SotA models still currently do need a bunch of guidance to not devolve into a code spaghetti, and it does end up feeling like ‘work’.