I’m not trained in formal computer science, so I’m unable to evaluate the quality of this paper’s argument, but there’s a preprint out that claims to prove that current computing architectures will never be able to advance to AGI, and that rather than accelerating, improvements are only going to slow down due to the exponential increase in resources necessary for any incremental advancements (because it’s an NP-hard problem). That doesn’t prove LLMs are end of the line, but it does suggest that additional improvements are likely to be marginal.
The one colleague using AI at my company produced (CUDA) code with lots of memory leaks that required two expert developers to fix. LLMs produce code based on vibes instead of following language syntax and proper coding practices. Maybe that would be ok in a more forgiving high level language, but I don’t trust them at all for low level languages.
School shootings? :shrug: Statues depicting the nude human form? “We must protect the children!” 🙄
Are you able to share what kinds of applications and what languages you write in? I’m still trying to grasp why LLM programming assistants seem popular despite the flaws I see in them, so I’m trying to understand the cases where they do work.
For example, my colleague was writing CUDA code to simulate optical physics, so it’s possible that the LLM’s failure was due in part to the niche application and a language that is unforgiving of deviations from the one correct way of writing things.
The only person in my company using AI to code writes stuff with tons of memory leaks that require two experienced programmers to fix. (To be fair, I don’t think he included “don’t have memory leaks” in the prompt.)
Who’s said bye to DVDs?
They’re Soviet conservatives. So they have all the shit takes conservatives in the US have, they just hate the US instead Iran or whoever the US hates today.
without compromising on visual fidelity
But it does compromise. Netflix has the worst banding issues in low-light scenes of any of the streaming services I’ve tried. It’s hard not to notice and it’s very annoying.
Driving is never going to be predictable enough to consistently get you to a destination where 30 seconds is a life-or-death class difference. The other people you’re getting angry at are also workers struggling to live in the same capitalist hellscape and you don’t know what’s going on in or around their car (this is the “fundamental attribution error”). Your anger at other drivers is misplaced, and further, makes you a more dangerous driver.
Seriously. Drivers really seem to lose their sense of time. Going 5 mph slower (or even 15) for a couple minutes won’t impact your arrival time (or will do so only negligibly) because you’re just going to have to wait at the next light anyway. And getting angry while driving is just as dangerous as other causes of distracted driving.
Yeah Startpage and Ecosia too
That is the neutral answer. It’s objectively and demonstrably correct.
I don’t think anyone on the left is claiming that Arch has the same level of complication as Windows
good
“We’re trying to have those conversations with Elon to establish what the sensors would need to do,” Baglino added. “And they were really difficult conversations, because he kept coming back to the fact that people have just two eyes and they can drive the car.”
But people have human brains, unlike Teslas or their CEO. Conversely, goldfish have two eyes, yet cannot drive a car.
Tailscale (which is open source) can host an entry point for a home VPN for you. Better security would be to host it yourself, which they also have instructions on how to set up, but even having them host is a security upgrade from using standard cloud cameras.
You’d need to pay for an external server and domain name, but that’s generally cheaper than paying cloud subscriptions. You can also use Tailscale, which can host the VPN entry infrastructure without being able to see your traffic (depending on how much you trust them).
Best way would be to set up a VPN that lets you connect to your home network remotely, and set up cameras that are only connected to your LAN