Profile pic is from Jason Box, depicting a projection of Arctic warming to the year 2100 based on current trends.
Some of us are old enough to remember how cats and other creatures would get killed by old car engine designs with the large open fan driven by a belt. They would sleep on that fan housing and not realize the danger when the car was started. So there have been improvements that have helped, maybe not necessarily for that reason. For what it’s worth, I’m on the side of minimizing cars for so many reasons, but it has been worse for animals in the past.
This timeline they’ve already been through the system and saw our broadcasts. Guess who is on the “Do Not Contact” list for the warp capable group?
Didn’t anyone tell him he already missed it?
That’s a reasonable definition. It also pushes things closer to what we think we can do now, since the same logic makes a slower AGI equal to a person, and a cluster of them on a single issue better than one. The G (general) is the key part that changes things, no matter the speed, and we’re not there. LLMs are general in many ways, but lack the I to spark anything from it, they just simulate it by doing exactly what your point is, being much faster at finding the best matches in a response in data training and appearing sometimes to have reasoned it out.
ASI is a definition only in scale. We as humans can’t have any idea what an ASI would be like other than far superior than a human for whatever reasons. If it’s only speed, that’s enough. It certain could become more than just faster though, and that added with speed… naysayers better hope they are right about the impossibilities, but how can they know for sure on something we wouldn’t be able to grasp if it existed?
I doubt the few that are calling for a slowing or all out ban on further work on AI are trying to profit from any success they have. The funny thing is, we won’t know if we ever hit that point of even just AGI until we’re past it, and in theory AGI will quickly go to ASI simply because it’s the next step once the point is reached. So anyone saying AGI is here or almost here is just speculating, just as anyone who says it’s not near or won’t ever happen.
The only thing possibly worse than getting to the AGI/ASI point unprepared might be not getting there, but creating tools that simulate a lot of its features and all of its dangers and ignorantly using them without any caution. Oh look , we’re there already, and doing a terrible job at being cautious, as we usually are with new tech.
If serious, whichever one works best for you. Lots of info out there to help steer you to a good match. There are some that will have a harder time than others thanks to Microsoft domination all these years.
If not serious. Arch, of course.
So stick with my Linux and don’t boot into Windows again. Got it.
Lots of these exploits can be very specific cases so aren’t going to threaten the average user. However the point is, Windows 10 is now a huge target and there are lots who would love to take advantage of a freshly open gate.
Depends on their goals. If they want the US powerhouse to topple, then fanning this flame is very productive.
At least there’s redundancy! Good luck trying to request recovery of the files though.
My phrasing may have sounded like the “humans aren’t the problem” climate deniers, but my point was that our amounts are only a percentage of the natural ebb and flow of CO2. The problem is that our addition was enough to tip the scales and cause an initial slow climb that has gotten faster and faster, and our percentage (which has itself magnified in the past few decades) is still a part of an increase from other natural sources that would have stayed dormant had we not started the process. Human activity was the catalyst of the reaction, and usually a catalyst amount required isn’t large.
Unless global heating is reduced to 1.2C
If we plateaued right now and did everything possible to draw CO2 out of the atmosphere and oceans, it would probably take a few thousand years to get back down. The reasoning - we weren’t the main CO2 contributor, we just were the extra catalyst to throw things off to begin the acceleration up. So now that things are off balance and feedbacks are kicking in, how can we reverse what we put into the environment AND counter the extra feedback outputs? It’s like trying to stop the boulder that was easy to push onto the hill slope.
If systems that run Linux were to power down, that’s it for almost all of the internet.
How is this surprising? We know that part of LLM training is being rewarded for finding an answer that satisfies the human. It doesn’t have to be a correct answer, it just has to be received well. This doesn’t make it better, but it makes it more marketable, and that’s all that has mattered since it took off.
As for its effect on humans, that’s why echo chambers work so well. As well as conspiracy theories. We like being right about our world view.
“cops”
But yes, avoiding conflict is what they do in bad situations. That or they create a bad situation by showing up.
Not sure this guy understands
That’s far enough.
Huh. Who would have guessed that would happen? /s
WIndows is bloated, especially if there are updates involved. However, how old is the hard drive it’s on? Not only tech age, but perhaps there are some read errors occurring to cause rereading that you aren’t seeing because it finally works. Also, if it is a hard drive upgrading to SSD is huge as well.
So you disagree with her stance? Or just how much attention she’s bringing to the topic? Why does it bother you?
I’ve only found success in LLM code (local) with smaller, more direct sections. Probably because it’s pulling from its training data the most repeated solutions to such queries. So for that it’s like a much better Google lookup filter that usually gets to the point faster. But for longer code (and it always wants to give you full code) it will start to drift and pull things out of the void, much like in creative text hallucination but in code it’s obvious.
Because it doesn’t understand what it’s telling you. Again, it’s a great way to mass filter Stack Overflow and Reddit answers, but remember in the past when searching through those, that can work well or be a nightmare. Just like then, don’t take any answer and just plug it in, understand why that might or might be a working solution.
It’s funny, I’ve learned a lot of my programming knowledge through the decades by piecing things together and in the debugging of my own or other’s coding, figured out what works. Not the greatest way to do it, but I learn best through necessity than without a purpose. But with LLM coding that goes wild, debugging has its limits, and there have been minor things that I’ve just thrown out and started over because the garbage I was handed was total BS wrapped up in colorful paper.