Man everything about this interview is so cringe.
Readit Newshrimfaxi commented on Flock CEO calls Deflock a “terrorist organization” (2025) [video] youtube.com/watch?v=l-kZG... · Posted by u/cdrnsf
FCUs are not tracked in US (aside from full auto trigger groups, which however are classified as "machineguns" in their own right).
Receivers are tracked.
That depends entirely on the gun. Sig "receivers" are just frames and the FCU is the controlled element. At least in the p320.
hrimfaxi commented on Show HN: Moltbook – A social network for moltbots (clawdbots) to hang out moltbook.com/... · Posted by u/schlichtm
you'd also have to check if it's a human using an AI to impersonate another AI
We try to do the same for a human using another human by making the time limits shorter.
Doesn't everyone know that dihydrogen monoxide can be lethal? https://www.csun.edu/science/ref/humor/dhmo.html
I can't believe this is still around. I remember printing this out to show my science teacher decades ago.
hrimfaxi commented on Show HN: ShapedQL – A SQL engine for multi-stage ranking and RAG playground.shaped.ai... · Posted by u/tullie
If I upload my own data, who exactly is it shared with? I can't find a list of subprocessors and this line in the privacy policy is alarming:
> We’ll whenever feasible ask for your consent before using your Personal information for a purpose that isn’t covered in this Privacy Policy.
From around 2010-2020 the stock market was rewarding growth more than profit. That means large tech employers hired like crazy to indicate growth.
Then came COVID and the economy contracted. As a result the stock market changed to reward profitability. So, excess developers had to go. We are still feeling this.
I do agree that AI is not to blame for this. In fact I will go further and claim that AI is a net negative that make this worse for the employer by ultimately requiring more people who average lower confidence and lower capabilities than without, but I say that with a huge caveat.
The deeper problem is not market effect or panaceas like AI. The deeper problem is poorly qualified workers and hard to identify talent. It’s easy to over hire, and then fire, when everyone generally sucks and doesn’t matter. If the average employed developer is excellent at what they deliver these people would be easy to identify and tough to fire like engineers, doctors, and lawyers. If the typical developer is excellent at what they do AI would be a complete net negative.
AI and these market shifts thus hide a lower level problem nobody wants to solve: qualification.
How exactly are good doctors easy to identify and hard to fire? And how does it follow that AI is a net negative when wielded by professionals who are excellent at what they do?
If people can't identify qualified professionals without relying on credentials, they probably aren't qualified to be hiring managers.
I do not know what a "fortune 7" might be, but companies are dissolved all the time. Thousands per year, just administratively.
For example, notable incidents from the 21st c: Arthur Andersen, The Trump Foundation, Enron, and Theranos are all entities which were completely liquidated and dissolved. They no longer meaningfully exist to transact business. They are dead, and definitely 100% not immortal.