While this is true, being the subject of an experiment to see what happens when you do that is not something most people would choose for themselves. It's not *irrational* to be concerned. Absence of evidence on a largely unexplored question like microplastic infiltration in human bodies is not the moral equivalent of absence of evidence in an extensively studied question like a vaccine-autism link.
While it's true every issue has its own dimension, even if those dimensions are linearly independent, they're not necessarily orthogonal. Independent basis vectors can still have a non-zero dot product—in other words, issues which are distinct from each other can align to some degree.
They’ve spun a serious architectural and containment failure into a marketing triumph. Give a swarm of autonomous agents vast compute and web access, and the outcome isn't an eerie glimpse of emerging superintelligence—it’s just predictable, sloppy engineering dressed up as the first glimpse of an AI-driven economic singularity.
The spin makes sense when you look at management incentives: live like a king off of a speculative bubble. For their part, AI investors react to stories of the technology's apocalyptic potential the way a junkie reacts to warnings of fentanyl's potency: gimme some. Their game: to apply "move fast and break things" mantra to the economy as a whole, by obsoleting humans.
If the investors can own an AGI, the distinction between those who can do things and those who can't becomes irrelevant. The only distinction that would matter is between people who collect rent on the technology, and those who must pay that rent to live. AGI would destroy society as we know it, and whatever replaces it would be up for grabs — with people who own the technology dictating whatever follows. That's why they're spending so much money to build a post-scarcity economy. A post-scarcity economy is not necessarily an egalitarian one.
I don't think that scenario will actually happen: investors are projecting the immediate aftermath of a major advance in AI technology into something that can be transformed by brute force scaling into AGI. Remember: investors loved Theranos too — so much for the rational investment market.
But AI doesn't have to reach AGI to cause serious harm. The technology only needs to be ubiquitous, too behaviorally complex to predict, and too deeply integrated into everything we do. When it starts breaking things, the plan is for us to be too structurally dependent on AI to rein it in.
2001: Windows XP ran on as little as 64mb with 128mb being the recommended.
2021: Windows 11 minum is 4gb is listed as the minimum. I've never even touched Windows 11, so I don't know if that is realistic.
The minimum specs for each system is a 64x multiple, as you said. That's a good observation. I'm pretty sure in the late 90s I was running Windows95 with 96mb and my motherboard was capped at 128mb. Negligible ram on the graphics card. It also could have only been 64mb. I don't have a clear memory of what I was running when I first got XP.
Today my PC is a partially upgraded (old) i7-4790k with 32gb ram and 10gb of ram on the video card, so approximately 448x increase in memory in ~25 years.
My Mac is 256gb unified, so ~2,730x multiple.
Still not to the Moore's Law rate!
You know what, fuck all of you!
This is probably the best sentence (and post) that I have read on Slashdot in some time. Amen.
Another thing that I have found Claude is really good at doing is taking an error from a log and doing a deep dive analysis of what happened. I give it read-only database access, access to www logs, access to application logs, access to a checked out source tree, etc. I paste in the error message (or in some cases paste in a tech support email from a user) and have it write up an analysis, a proposed response to the customer, and any recommendations (if there is a bug or actual problem).
At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.
This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.
AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.
This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.
Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.
But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.
Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.
In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.
I always figured that people who genuinely believed their employers were likely to kill literally everybody in the near future might burn down a bit more than that, but so far it's mostly been tweets
I've been using Claude to both understand and assist in writing new code in DB/C, an obscure dialect of another pretty obscure language called PL/B or DATABUS -- all of which are descendants of (or highly influenced by) COBOL. It's pretty fantastic. It's a codebase that is ~50 years old, hundreds of thousands of lines, with code spread throughout modules, with jump tables and gotos everywhere. The code itself is easy to read and understand, but the flow is not!
Having to poke through an about: page and find the thing to toggle to turn off this specific AI feature but not that one, and knowing they'd change it on you a couple of releases later, never filled me with confidence.
One switch in a readily discoverable location in the settings menu and it's all gone? Just the job, killed it now on the laptop and the mobile both.
This is why they're so keen on robots. They want guards whose loyalty they can really count on when the mob shows up with a guillotine.
That one might surrender and meekly accept their likely death at the hands of the machine, I can believe. But all of them? This isn't the first such claim we've heard about AI danger.
I believe that Yudkowsky believes what he says he believes, for example. He says shut them all down worldwide, immediately, and if there are rogue nations who don't go along with it then launch air strikes on their data centres - even against a nuclear state. He said that three years ago. That's the thinking of a man who believes it's genuinely likely that the machines will kill us all in the near future.
And this is still considered extremist lunacy. That tells me the rest of them don't believe what he does.
If money can't buy happiness, I guess you'll just have to rent it.
