My two cents on this follow two major discussion topics.
1. Can AI models self improve?
2. Will it replace humans?
IMO, answer to both is "yes", with a big nuance. For 1, imagine millions of AI agents coming up with different ways to improve the model architecture. It will end up happening just because of sheer quantity/statistics at that point, let alone quality. Furthermore, even if it's just a 1% improvement, that's just one iteration. You can basically do the same thing again with the improved model, and get an even better one.
For 2, its also a yes unfortunately. It has been ages since I have had to write tests for my code. I read it, understand it, see if it does what it is supposed to do, and rarely add things that are missing. The rarity of me doing the said intervention has increased significantly over the course of time.
The two big nuances here are a.) Economy b.) Human element [The author touches upon this in the article in a nice way I think, so only talking about economy]. Global cognitive workforce is a $50T market (mostly middle/upper middle class, 55% to 75% of all global labor income). If the said workforce is made to quit their job, then it's just corporations paying each other. Especially given the fact that the same workforce also happens to be their biggest customer. Taking away your customer's purchasing power does not sound beneficial. Thus capitalistic forces will somehow balance it out and hopefully it will settle down. Also, for 1, running millions of AI agents is an expensive task, you have to collect funds from the same said customer base to be able to create a self improving all knowing god of a model, and I would like to believe that we are quite a bit away from that. Although, I could be wrong here and that would just suck ass.
That being said, AI companies will try to get as much as they can from that share and that will cause a serious shift in labor market. The ones to stay will be those who not just use AI, but also understand the work. At the end of the day, if your AI agent decides to run a "rm -rf /" on the production server, it is still you that would have enabled it.
True that. It is however fair to assume that the architecture we currently have can still improve. Human brain can see information once and remember it pretty well. I wouldn't bet against AI models being able to do the same in the near future.
I think for two the current chart of the economy isn’t being looked at. Things are generally either headed towards high quality high margin very expensive items or the lowest possible quality that can be sold. There are fewer and fewer “middle class” options. Once humans are replaced and can serve the elite, then the continued discussion about how to get rid of the rest of humanity will continue (https://wabcradio.com/2026/02/05/doj-files-shows-epstein-and... note almost everyone is poor relative to a billionaire) and then they’ll realize they have billions of drones and an automated military and then weee!
All technology and infrastructure needs maintenance. Sure there will be drones. However, there will also be companies and people that specialize in creating and maintaining the said drones. Additionally, the shock and immediate disruption that we all are expecting out of this is flawed assumption I think.
I do however hate to admit that it might be possible that the world simply wouldn't require as many humans to function (birth rates are already declining in developed countries), however, I am too sober to have that discussion right now :D.
Fair. And yes, the Wall-E problem still stands. We already have dark factories though. Can we design machine repairable factories that produce machines to repair machine repairing factories? I suspect we'll find out very soon.
Huge kudos to the security researchers for 1, finding an exploit, and 2, unlike copyfail, excluding a zero-day ready-to-use LPE script that anyone could have used.
I tried using this for LPE on a Rocky9 for a couple of hours and thankfully couldn't get it to work. So that means unless you have quite some free time on your hand, or are extremely good at doing what you do, you can't actually use this to get LPE on enterprise distros.
This is fascinating research. I feel this is a significant leap in interpretability research. Since we know J-Space exists and is bi-directional, we can train models on the same and come up with meta cognition abilities.
I also fear that the big corporations might use the same to run targeted ads, capitalistic shenanigans. Which they might already be doing through system prompts.
Such an inspection capability might also be used to target ads to LLMs, which would then be more likely to mention or recommend those products and services.
It's one thing to report a vulnerability, another entirely to make a crazy exploit available for any tom, dick, and harry to take and use. It was irresponsible of whoever came up with it to release it in the world without first giving major distros a head's up.
Bashing on the reporter is pointless feel-good. This is a massive vuln. It was 4 weeks after Kernel had a patch. They had no way to know if others parties had also discovered the vuln. Lord Knows how many millions of systems could already have been rooted. The reporter is not their minion.
If I call 911 to report a fire at an oil storage facility - and they ask me to alert the hospital, then phone the neighboring county's Sheriff Dept., and then...yeah. Either I'm way out in the sticks (and known to/trusted by the 911 operator), or else the 911 service is run by children.
A proof of concept is a very standard thing to include in a disclosure, almost table stakes nowadays because of the amount of bad reports. Once there's any disclosure there will be exploits developed and published anyway, it's not a meaningful difference.
I was coming up with the same intuition. However, it's like a whack-a-mole. What about cronjobs and slurmjobs and other services? Is there a way to do this directly on systemd so that all other processes inherit it rather than doing it on each one?
This was bound to happen either organically or inorganically. Make sure it performs well on the benchmarks. And it doesn't really matter if it doesn't generalize outside of it right? :D
While it is true that guides and business owners are always looking for opportunities to earn extra cash, the reporting is a tiny bit off here.
Start of AMS like symptoms can easily be mistaken for walking fatigue and dehydration. It is easier to identify if you are at rest, but during the trek that is seldom the case. So when you actually start realizing something is wrong, you already are at an elevated risk. The only thing that works in these cases is to descend and as fast as possible at that.
Considering the fact that AMS will absolutely and a 100% kill you if you play around with it, guides presenting trekkers with an option of helicopter rescue is not that bad, at least if you look at the worst that can happen.
1. Can AI models self improve? 2. Will it replace humans?
IMO, answer to both is "yes", with a big nuance. For 1, imagine millions of AI agents coming up with different ways to improve the model architecture. It will end up happening just because of sheer quantity/statistics at that point, let alone quality. Furthermore, even if it's just a 1% improvement, that's just one iteration. You can basically do the same thing again with the improved model, and get an even better one.
For 2, its also a yes unfortunately. It has been ages since I have had to write tests for my code. I read it, understand it, see if it does what it is supposed to do, and rarely add things that are missing. The rarity of me doing the said intervention has increased significantly over the course of time.
The two big nuances here are a.) Economy b.) Human element [The author touches upon this in the article in a nice way I think, so only talking about economy]. Global cognitive workforce is a $50T market (mostly middle/upper middle class, 55% to 75% of all global labor income). If the said workforce is made to quit their job, then it's just corporations paying each other. Especially given the fact that the same workforce also happens to be their biggest customer. Taking away your customer's purchasing power does not sound beneficial. Thus capitalistic forces will somehow balance it out and hopefully it will settle down. Also, for 1, running millions of AI agents is an expensive task, you have to collect funds from the same said customer base to be able to create a self improving all knowing god of a model, and I would like to believe that we are quite a bit away from that. Although, I could be wrong here and that would just suck ass.
That being said, AI companies will try to get as much as they can from that share and that will cause a serious shift in labor market. The ones to stay will be those who not just use AI, but also understand the work. At the end of the day, if your AI agent decides to run a "rm -rf /" on the production server, it is still you that would have enabled it.
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