

I saw a video where a guy just shoved a $1 carabineer into the door latch to defeat this.
EDIT: Here’s the video: https://www.youtube.com/watch?v=EF6VBnUla58
Alt account of @Badabinski
Just a sweaty nerd interested in software, home automation, emotional issues, and polite discourse about all of the above.


I saw a video where a guy just shoved a $1 carabineer into the door latch to defeat this.
EDIT: Here’s the video: https://www.youtube.com/watch?v=EF6VBnUla58
That device kinda terrifies me. Like, I appreciate that SCUBA gear is so… simple. No electronics, no batteries, just relatively straightforward pneumatic equipment. At least you’re not very deep if the compressor shits the bed.


I like the way you think. I think more of life’s second-order problems should be solved with blinding lasers.


How do you ensure that the room is empty, 100% of the time? Those disinfecting light bulbs don’t have the same level of risk as this laser system.


Nah, it’s really not necessary. I’m senior dev at a large software company you’ve absolutely heard of and I’m just as productive as my colleagues who use LLMs. My tasks usually take fewer PRs as well, since there are fewer bugs that need to be fixed.
I still don’t understand why people are foaming at the mouth about LLMs. They’re fucking awful at writing software.


Metro 2033 is so good, you’re gonna love it. He wrote such a fever dream of a novel.
Is your container using BusyBox? if so, then it’s not even real wget, it’s just the disgusting awful busybox version.
God I hate BusyBox.
Free as in speech, friend. I donate to multiple FOSS projects every month.


Regex absolutely counts imo. I love it, especially when you combine it with a parser like, say, parsimonious.
Every time I use Mcmaster-Carr’s website, I weep at the lost potential for places like Costco. I wish every store’s website was like Mcmaster-Carr.


Security Council.
Building a jet doesn’t require over a trillion dollars of capex, and selling jets is profitable. There’s solid evidence that inference isn’t profitable, and the AI labs need inference to be extremely profitable if they’re going to meet their absolutely ludicrous contractual performance targets. Oracle is expecting hundreds of billions of dollars from OpenAI by like 2030. That shit is not happening.


The segmented caching request thing is… weird. I worked for a company that developed a caching proxy and it very much did not work that way. Like, random access in a caching system is usually kinda bad and you should try to avoid it. Like, our proxy manually controlled the disk (it wasn’t a mounted filesystem) so it could constantly sweep the head across the disk and cue up reads and writes optimally. This gets much harder when things are fragmented as fuck.
If the concern was about what would happen with multiple connections for the same cache miss, then the caching proxy should just combine the client-side connections into a single upstream one. You can still cache the first part of the response if your upstream connection gets terminated and then restart it from that point.
ASA can still warp, but an enclosed and warm build chamber should do a lot to squelch that. Are you printing on an open bed slinger? Or do you already have a build chamber?


God, the fucking comment spam drives me absolutely fucking nuts. I used to enjoy reading 2 consecutive changes with 12 lines of comments because it meant I was in for a hell of a story of woe and misery. Now, it’s just the fucking slop machine doing its thing.
With regards to LLMs being good enough to do our jobs, I don’t think that’s ever going to happen. Token prediction is a neat trick, but you actually need something that can reason and understand to replace human intellect, and nothing I’ve seen on the horizon appears to be capable of that.


Yes, there’s far more code to review and the reviews are extremely fucking frustrating and I can tell who is using an LLM based on the volume and texture of the shit they’re pushing out. You have to check everything excreted by an LLM far more thoroughly than if it had just been written by the senior dev who produced the slop. An LLM is incapable of reasoning, it’s just choosing likely tokens based on past context, so nothing it produces can actually be trusted.
Source—I’m a senior dev at a large software company you’ve absolutely heard of. I am drowning in slop.


Damn, that’s unfortunate.


Have you tried this yet? I’m interested if it works generally or if it’s just a local thing.
EDIT: Sorry about the double post, my client was being weird.
I love my XL. It’s been the best printer I’ve ever owned.