Typical C-suite. It takes them three months to come to the same conclusion that would be blindingly obvious to anyone with half a brain: if you build something that no one understands, you’ll end up with something impossible to maintain.
I’m sorry… a smart toilet camera? WTF??
100s of MB in dictionaries and JIT compiler caches
Don’t forget the hundreds of MBs of NPM dependencies
Alternate title:
In 1995, a Netscape employee wrote a hack in 10 days that ruined the Internet
The author of this article is literally the Principal Skinner meme
they still said that they love Google and use all of its products — they just didn’t expect it to release a program that can make a massive error such as this, especially because of its countless engineers and the billions of dollars it has poured into AI development.
I honestly don’t understand how someone can exist on the modern Internet and hold this view of a company like Google.
How? How?
Nvidia down ~8% this week, Palantir down ~10%
Maybe the needle really is shifting.
The guy that created the subreddit, Violentacrez, was also the “victim” of an expose by Gawker who found out his real life identity. Reddit tried protecting him by banning links to Gawker when the article came out.
I remember when this happened. Violentacrez himself showed up in one of the threads that didn’t get nuked and tried to defend himself. I remember his (heavily down-voted) comments all being surrounded by dozens and dozens of [deleted] comments — presumably people attacking him for being a pedo piece of shit.
I’d never heard of the guy before, but I was so disgusted by the story and by his attempts to justify himself that I went back through weeks of his old posts, down-voting everything.
The next day, I came back to a week-long temp ban from Reddit for vote manipulation. Fuckers.
he lauded Reddit as being “for humans by humans” and seemed to take a subtle dig at AI slop (the low-quality AI content clogging corners of the internet)
That’s pretty funny coming from the CEO of a platform that was already overrun by low-effort bots even before AI slop became a thing…
deleted by creator
To an extent, I think that’s already happening. ChatGPT5 released with a huge amount of hype, but when users started playing with it, it was incredibly underwhelming — and flat-out worse than 4 in many cases… all while burning though even more tokens than ever. Definitely seems like that capabilities of this technology have hit a plateau that won’t be solved with more training.
OpenAI optimistically believes it might start being profitable in 2029.
Which is absolutely buck wild when you consider they’ve already signed contacts to spend another trillion dollars over the next five years.
How the fuck is a company that has $5 billion in revenue today going to grow that revenue by at minimum $995 billion by 2029? There’s just no fucking way, man…
Absolutely.
I’d recommend diving into this for a more scientifically ‘thought out’ and optimistic extrapolation: https://www.orionsarm.com/
Man… if the Technopocolpyse is what you consider optimistic, I’d hate to find out what you consider pessimism!
The September that lasted 32 years…
Alas, the damage is done and there’s no going back.
Yeah, neutrino detectors don’t work like conventional telescopes because neutrinos don’t behave like light. Technically, neutrinos are actually a type of dark matter since they don’t participate in the electromagnetic interaction, and that makes them very hard to detect.
When a beam of light shines on your body, some of that light is absorbed as heat and a lot of it is reflected off of you. Neutrinos don’t do that. Tens of billions of neutrinos from the sun hit your body every second and just… don’t do anything. They pass straight through you with zero interaction whatsoever. Very, very rarely they’ll interact with something, and neutrino detectors are designed to both maximize the chances of such an interaction happening, and to make those interactions more easy to spot.
I’m not up to speed on all the technical details of JUNO in particular, but most neutrino detectors are searching for events that look something like this:
A neutrino enters the detection medium and directly collides with an electron. Enough energy is transferred into the electron that it is stripped free from its parent molecule and moves through the medium at very high speed. If it moves fast enough, it can even exceed the speed that light travels through the medium, creating something sort of like a sonic boom — only with light. We call this Cherenkov radiation. The scintillating properties of the medium boost this signal and photomultipliers at the perimeter of the detector gather this radiation so that the event can be reconstructed by computers.
The liquid is the detection media.
[Linear alkylbenzene] was identified as a promising liquid scintillator by the SNO+ neutrino detector due to its good optical transparency (≈20 m), high light yield, low amount of radioactive impurities, and its high flash point (140 °C) which makes safe handling easier. It is also available in large volumes at a relatively low cost at the SNO+ site. It is now used in several other neutrino detectors, such as the RENO and Daya Bay Reactor Neutrino Experiments.The material performs well in deep underwater environments. One study suggested LAB as a suitable material to be employed in a Secret Neutrino Interactions Finder (SNIF), a type of antineutrino detector designed to detect the presence of nuclear reactors at distances of between 100 and 500 km.
Neutrino detectors are basically just huge scintillators (systems that absorb ionizing radiation and re-emit that energy as light). The liquid inside of JUNO (Linear alkylbenzene) has especially attractive scintillating properties.
Footnote: The artwork was generated using AI
Ehhhhhhh…
If you say so… but some of the Funko collectors I know are definitely die-hard nerds. Having bad taste doesn’t exclude you from nerddom.
That perfectly describes what my day-to-day has become at work (not by choice).
The only way to get anywhere close to production-ready code is to do like you just described, and the process is incredibly tedious and frustrating. It also isn’t really any faster than just writing the code myself (unless I’m satisfied with committing slop) and in the end, I still don’t understand the code I’ve ‘written’ as well as if I’d done it without AI. When you write code yourself there’s a natural self-reinforcement mechanism, the same way that taking notes in class improves your understanding/retention of the information better than when just passively listening. You don’t get that when vibe coding (no matter how knowledgeable you are and how diligent you are about babysitting it), and the overall health of the app suffers a lot.
The AI tools are also worse than useless when it comes to debugging, so good fucking luck getting it to fix the bugs it inevitably introduces…