Yeah, in practice feeding AI its own outputs is totally fine as long as it’s only the outputs that are approved by users.
Yeah, in practice feeding AI its own outputs is totally fine as long as it’s only the outputs that are approved by users.
Agreed, numpy really could/should be built in.
Why would it be a bad sign that the language has built in tools for common things you need to do?
Asking that question is the first step people need in order to finally come to that conclusion. We all just completed the process a loooooong time ago.
Sure, go for it. But good luck paying an army of copywriters to summarize every article you read.
That’s not what I’m implying. What I’m saying is that wasting time and effort on quality is pointless when the threshold for success is low.
For example, I could use aerospace quality parts (perfectly machined to micron-level tolerances) to build a toaster. However, while this would not increase the performance meaningfully, the cost would be orders of magnitude greater. Instead I can use shitty off-the-shelf parts because it doesn’t really make a difference.
Maybe in other words, engineering tolerances apply to LLMs too. They’re crude devices, but it’s totally fine if you have a crude problem.
It might be all I care about. Humans might always be better, but AI only has to be good enough at something to be valuable.
For example, summarizing an article might be incredibly low stakes (I’m feeling a bit curious today), or incredibly high stakes (I’m preparing a legal defense), depending on the context. An AI is sufficient for one use but not the other.
This seems to be millions of times more accurate, according to the article.
If AI is really that disruptive (and I believe it will be) then shouldn’t we bend over backwards to make it happen? Because otherwise it’s our geopolitical rivals who will be in control of it.
That’s because they are serious about it. Chip fabrication will likely determine the victor of the next 25 years in world politics.
I’ll drop JetBrains the moment something smarter comes out, but so far nothing has reached that level of code analysis.
AI is falling into disillusionment for like the 10th time now. We just keep redefining what AI is to mean “whatever is slightly out of reach for modern computers”.
Nah, local LLMs are easily in the range of transcribe/summarize. I bet you could do that nicely with llama 8B without even needing a gpu.
It might get expensive fast if their Google Play Services app is affected by the ruling.
Sir, this is a Wendy’s…
So, you’ve always been able to sideload apps on Android, Google is just using unfair practices to stop other people’s app stores from being popular.
When does this ruling affect Apple, who actually has a monopoly on their store?
No certifications, no degrees, just good, old fashioned 15 years of experience.
Yeah totally agree. The general population almost never wants to go to war - the plutocrats do.
Once we take care of our own corrupt governance I suspect wars will rapidly disappear, and then weapons will likewise disappear.
Well Switzerland does obsessively stay neutral, which is badass… Sadly that is mostly an anomaly in the world right now. I’d love for everyone to be the same, but I don’t think it’s likely - good luck convincing the US, Russia, or China to be neutral.
Not sure what you mean by the others. Afghanistan has been destabilized repeatedly by a bunch of big nations with big weapons, and they couldn’t do much about it. That fairly well strengthens my point again - the only nations whose rights are respected are the ones with the biggest guns, and everyone else gets trampled by them.
Heck, Africa is also embroiled in proxy wars caused in part (mostly? It’s complicated) by big, militarized nations.
I think very few people would call militarization good. In fact I’d call it explicitly evil. I would also label it as necessary in the modern world dynamic. I desperately hope that people learn to respect each other so we have the option of demilitarization.
Only up to the point where humans notice it. It’ll make AI images easier to detect, but still pretty for humans. Probably a win-win.