Was this intended literally? I'm skeptical that saying something so precise about a fuzzy metric like rate of innovation is warranted.
The more I thought about it though, the more I realized it was the perfect name. It is definitely what you feel when the acceleration changes!
The physical world tends to have certain constraints that make such true singularities impossible. For example, the universal speed limit: c. But, you could argues that we could approximate a singularity well enough to fool us humans.
It was something like the "speed of increase in inflation is slowing down" I've tried to search for it but no joy.
Anyway, it was maths.
Suggesting the singularity is physically possible is roughly like suggesting that human telekinesis is possible, ie physics would need many very interesting errors.
Anyway, imo the event horizon is more interesting. That's where the paradigm shift happens - there is no way to escape whatever "comes next".
(Note - some people confusingly use "singularity" to refer to the phase between the event horizon and "infinity")
If there is anything "beyond" that at all, I think it's pretty safe to say that any idea we have as to what it would be is very unlikely to be anywhere near the realm of correct.
> In 1993 Vernor Vinge drew on computer science and his fellow science-fiction writers…
But I don’t think it’s worth completely writing off as if we couldn’t possibly know anything. Progress outside of time would resolve the issue I resolved to. I’m not saying it could actually be done or doesn’t cause a million other issues. It’s an idea for a solution, but it’s completely unrealistic, so you shelve it.
It got so many things right, it’s really amazing.
I really wish he’d written more.
Note that this category of hypothesis was common in various disciplines at the end of the Cold War [1]. (Vinge's being unique because the precipice lies ahead, not behind.)
[1] https://en.wikipedia.org/wiki/The_End_of_History_and_the_Las...
When I read the Coming Technological Singularity back in the mid-90s it resonated with me and for a while I was a singularitarian- basically, dedicated to learning enough technology, and doing enough projects that I could help contribute to that singularity. Nowadays I think that's not the best way to spend my time, but it was interesting to meet Larry Page and see that he had concluded something familiar (for those not aware, Larry founded Google to provide a consistent revenue stream to carry out ML research to enable the singularity, and would be quite happy if robots replaced humans).
[ edit: I reread "The Coming Technogical Singularity". There's an entire section at the bottom that pretty much covers the past 5 years of generative models as a form of intelligence augmentation, he was very prescient. ]
It seems impossible that, given current economic trajectories, there won't be software archaeology in the future.
Our abusive relationship with modern commercialism has disintegrated the value of art, folklore and tools, both in the eyes of consumers and producers, and we no longer as a society seek to preserve the greatest works of today's most cutting-edge mediums. It's quite a sad state of affairs, which will only be mourned with increasing intensity as time marches on and curious researchers try to piece together the early days of the internet and personal computing.
In the more common case, it's simply archiving -- we still have hardware it can run on (e.g. x86).
The GPGPU and ML stuff is likely going to age poorer, although at least we had the sense to funnel most high level code through standardized APIs and libraries.
It’s not hard to imagine a program of ever increasing complexity, highly redundant, error-prone, yet also stochastically, statically, increasingly effective.
The primary pushback from this would be our pathetically tiny short term memory. Blow that limitation up and complexity that seems incomprehensible to us becomes perfectly reasonable.
Situation that have 500 viewpoints and 10,000 variously interacting facts to consider won't be any more comprehensible for a mere human, short term memory limiting us or not.
Making a competing standard and then having to deal with interop between standards is not simpler or better unless there's an actual benefit to be had.
Was the sarcasm lost on me?
Other things are quite advanced - but computing is rather "dumb". What is there is driven by a great weight of inertia of massive software (all written by regular humans) that itself is too large to fully audit and understand.
The story it tells is very much one about humans and societies.
We do this through categorization. For example, integrated circuits can be broken down into simplistic AND, OR, XOR, NOR, NAND, X OR, and NOt gates. Yet tying those together creates usable components such as Wifi radios and manufacturing automation.
Over simplification are concepts that lack understanding of complex systems. These are exploited by politicians. For example, deregulation will help drive the economy. Yet regulations have been proven to assist the economy long term by preventing the next variation of thalidomide. The panacea drug of the 1950s and 1960s that killed their users or caused massive birth defects.
So behind all the top-level interfaces was layer under layer of support. Some of that software had been designed for wildly different situations. Every so often, the inconsistencies caused fatal accidents. Despite the romance of spaceflight, the most common accidents were simply caused by ancient, misused programs finally getting their revenge.
“We should rewrite it all,” said Pham.
“It’s been done,” said Sura, not looking up. She was preparing to go off-Watch, and had spent the last four days trying to root a problem out of the coldsleep automation.
“It’s been tried,” corrected Bret, just back from the freezers. “But even the top levels of fleet system code are enormous. You and a thousand of your friends would have to work for a century or so to reproduce it.” Trinli grinned evilly. “And guess what—even if you did, by the time you finished, you’d have your own set of inconsistencies. And you still wouldn’t be consistent with all the applications that might be needed now and then.”
Sura gave up on her debugging for the moment. “The word for all this is ‘mature programming environment.’ Basically, when hardware performance has been pushed to its final limit Basically, when hardware performance has been pushed to its final limit, and programmers have had several centuries to code, you reach a point where there is far more significant code than can be rationalized. The best you can do is understand the overall layering, and know how to search for the oddball tool that may come in handy—take the situation I have here.” She waved at the dependency chart she had been working on. “We are low on working fluid for the coffins. Like a million other things, there was none for sale on dear old Canberra. Well, the obvious thing is to move the coffins near the aft hull, and cool by direct radiation. We don’t have the proper equipment to support this—so lately, I’ve been doing my share of archeology. It seems that five hundred years ago, a similar thing happened after an in-system war at Torma. They hacked together a temperature maintenance package that is precisely what we need.”
“Almost precisely.” Bret was grinning again. “With some minor revisions.”
“Yes, which I’ve almost completed.”
The essence of many many projects and bane and also the source of so much work for all of us (software devs)
The hero saves the day by hacking old routines lying in the depth of the ship systems.
I'm not sure why there would be cognitive dissonance- sure, my tools may be primitive, but I can also grab my chisel and plane and see that it's similar in form to chisel and plane from 2000 years ago (they look pretty much the same, but these days they're made of stronger stuff). I can easily imagine a Real Programmer 2000 years from now looking back and thinking that python, or even a vacuum tube, is merely a simplified version of their quantum matter assembler.
Even as IT professionals this is true. How many developers these days can debug a problem in their JavaScript runtime or Rust developers track down a bug in their CPU? There’s so much abstracted away from us that few people can fully grasp the entire stack their code executes. So those outside of tech don’t even stand a chance understanding computers.
And that’s just focusing on IT. I also depend on medical equipment operated by doctors but have no way of completely understanding that equipment nor procedure myself. I drive a car that I couldn’t repair. Watch TV that I didn’t produce beamed to me via satellites that I didnt built nor fire into space. Eat food that I didn’t grow.
We are already well past the point of understanding the technology behind the stuff that we depend upon daily.
Cars, electronic devices, manufacturing tools/processes, lawn equipment, chemical processes, software, algorithms, common subassemblys, logistics, mechanics of materials, measuring systems, what excuse does one have to not develop some level of familiarity with these aspects of modern life in a day where information is literally at your fingertips?
I'll give you that the well is heavily poisoned, and that sometimes a return to dead tree mediums of info storage are required to boost signal; but there isn't really an excuse to remain ignorant other than willful ignorance. The answers are out there, you just need to have the will to hunt them down and wrest them from the world.
This could also be described as the Dunning-Kruger effect
https://en.m.wikipedia.org/wiki/Dunning–Kruger_effect
There is a massive difference between “learning the basics” and understanding it to a competent level that we can reproduce it.
I know the basics of how rockets work but that doesn’t mean I could build a rocket and successfully launch it. Yet your comment suggests I’m already qualified to single-handedly deploy the next Starlink.
I originally started from writing Python scripts and running Web servers, after 10 years I decided that pure software is too boring, and now I came to know the basics of high-speed digital signal propagation in circuit boards.
So I agree with you conceptually. But practically speaking, it also requires an eternal life, an external brain storage, or possibly both. At least in my experience, I find that my time and attention doesn't allow me to investigate everything I'd like to.
"No one on the planet knows how to build a computer mouse."
https://briandbuckley.com/2012/09/12/who-knows-how-to-make-a...
Counterpoint:
If a man has done it, a man can do it. Also, It wouldn't be research if you already knew what you were doing.
Just because a particular assembly has it's tasks divided up between a myriad of people does not mean it is impossible to unify those tasks into a single person. In point of fact, the continued existence of mice can be directly attributed that someone has the network of knowledge/knowers of pieces of the problem already nailed down.
Yes, the level of detail the real world flings at us on a regular basis is surprisingly deep, but hardly ineffable.
I don't understand your argument, in particular, the linked article already refuted this point by saying the following, but you didn't provide a counterargument to that:
> But let’s imagine an extraordinarily talented man who started on the factory floor, worked his way through an engineering degree, moved up through the ranks to design the very thing he was building before, and knows the roles of everyone on his team so well that he could do all their jobs himself. Surely this brilliant person knows how to make a mouse. Or does he? He may understand circuits – but does he know every detail of how to build a diode from raw materials? He may understand plastics – but could he single-handedly synthesize a plastic from its constituent chemicals? Does he understand how to mine silicon out of the ground? Nobody in the world – not one single human being anywhere – knows how to make a mouse. It’s orders of magnitude too complex for a solitary mind.
If we've done it before, we can do it again. The key is navigable access to the right information which is sadly dependent on A) willingness to document, and B) structuring of the set of data for navigable retrieval.
Both were problems we've got solved. Not in the Internet of course. Not anymore, but in libraries.
Also, I reject where the goalposts of the accomplishments of the person in question are stated to arbitrarily end. Nothing keeps one from diving into these secondary areas or specialties. Only perhaps the obstacle of having to be profittable while doing it. And that's what I reject. I do not hold the prevailing wisdom that knowing the Riddle of Mice is intractable to a singular human being. I hold it is intractable to a member of a social system wherein profitable engagement of every member as guided by some subpopulation might tend to make it seem intractable by any member of the governed group. That's a far cry from true ineffability however.
But nobody has done it before. Even the very first computer mouse used off-the-shelf mechanical and electrical components, each of those involved at least one type of technology that took a scientist or engineer's entire lifetime to develop.
> The key is navigable access to the right information which is sadly dependent on A) willingness to document, and B) structuring of the set of data for navigable retrieval.
Now you mention the importance of documentation, it reminds me of Vannevar Bush's Memex and Ted Nelson's Project Xanadu. So it seems that there's a mutual misunderstanding of the actual topic in this debate. We understood the debate as:
* The all-knowing engineer: Whether it's possible for a single individual to learn and understand a technology entirely, down to its every aspect and detail.
Meanwhile, you're in fact debating about different problem, which is:
* The Engineering Library of Alexandria: Whether we can create sufficient documentation of all technical knowledge, the documentation is so complete about every aspect and detail that in principle, it would allow someone to open the "blackboxes" behind every technology for understanding or replication if they really want and need to. Whether or not it can be done in practice by a single physical person is unimportant, perhaps only one or a few blackboxes are opened at a time, not all simultaneously. The question is whether the preserved information is sufficient to allow that in theory. This is similar to the definition of falsifiability in science - impractical experiments still count.
If you're really arguing the second point rather than the first point, I would then say that I can finally understand some of your arguments. So much unproductive conversions can be avoided if you've expressed your points more clearly.
That's just something you tell yourself to make yourself feel better about trusting the black boxes your life depends on. But it simply isn't true.
People devote their lives to specializing n these things. Yes, "with enough will" - and time, and money - you could pick one or two subjects and do the same. But that still leaves you as a dilettante at best when it comes to everything else.
Rand is garbage, and I'm insulted to end up being brought anywhere near that slop in your philosophical address space. The point I'm trying to make is that there is a helplessness taught by the optimizations we structure our societies around. A capitalist, consumerist society is going to focus around training the largest portion of it's population to act as specialized cogs that can be orchestrated by someone the next layer of abstraction up in pursuit of purely profitable/profitmaking engagements.
If you change the optimizations, you change the system. You change the people that compose that system, you change the very bounds of the human experience.
Just look at how much the world changed around the pandemic. The old order of the office & commute was shattered for many. Look at how deemphasis of throwing more fossil fuels at a problem changes the direction of innovation.
You say the Riddle of Mice is ineffable by a single person. I say you're full of it, and looking at the problem wrong. It's completely effable, you just can't imagine society having a place for such a person given your priors about how the world operates. And in that, you may be right!
That does not equal the Riddle of Mice being conquered by a single person can't happen. It's just unlikely, and dhould such an extraordinary individual exist, you'd likely see them as mad.
If anything, you’re massively underestimating the amount of diverse specialist knowledge required in modern society for even simple interactions.
People dedicate their entire lives to some of these fields that underpin the tech we use. It’s not something the average person can pick up in open university while working a full time job and bringing up kids. To suggest it’s just a motivational problem is absurd. And that’s without addressing that the level of physics or mathematics required for some specialties is beyond what some people can naturally accomplish (it would be stupid to assume everyone has the same natural aptitude to all disciplines).
Honestly, I don’t know how you can post “This is the most intellectually lazy take I've ever seen” in any seriousness then go on to say it’s just a problem of will power.
Logistics, law, military, healthcare, research/academia, education, sales, metrology, aviation, network and library sciences, industrial processes, construction, and manufacture?
All of which, in their depths, hide surprisingly deep tracts of wisdom and tacit knowledge, and between them often exists gulfs of synergy unrealized because there is just rarely a place in society for one who has done both X and Y?
You can take this as evidence of a mind unable to find a niche into whence it can settle long term peaceably, or you can take as words of experience from someone who has never slotted well into the current state of affairs, largely due to having issues with accepting "that's just the way it is".
I'm fully cognizant long term practice opens doors, but I'm also aware the benefits of one's long term practice can transfer with enough care demonstrated in the act of crafting the transference. I'm also fully aware that no matter how "free" or "open-minded" you think yourself to be, the end result to which you can actually live up to those ideas is the extent to which you can lay claim, and our society as structured leaves much to be desired in terms of viability of livelihoods that don't involve centralizations of wealth as the first order problem, and all physical accidents that occur as a result of said centralization being happy accidents. Our means of creating new wealth extractions vs. solving the physical needs of continued societal operation keep diverging further and further away from each other, and no one seems to be able to stop and even process the ludicrousness of what's going wrong with the execution. No one will either as long as people don't try to untangle the very Gordian knot that prompted my original post, yet it seems most people are content to just hide from it as long as the status quo remains such that "Not my problem" holds over their individual mental horizons.
I'm not tossing out hot takes for fun here. I'm tormented by the beast that our societal architecture has transformed us collectively into. I've stared at it's face with a profound sense of loss and unsatisfaction at the level of potential it lives up to, and the Riddle of Mice's individual effability cuts straight to the heart of the matter.
If the Riddle of Mice is truly ineffable to a single person in totality; then we are simply doomed.
We have admitted that we are no longer capable of pushing the frontiers of what we can achieve further than the complexity that it takes to make a circuit board, hosting an IC, fabricated using a combination of lithography masks, UV light sources, photochemisty, and a highly controlled manufacturing environment, all made using equipment made using precision manufacturing techniques (machining, chemical, orelectrically facilitated), assembled into a geospatially bounded factory, with outputs priced in such a way as to provide sufficient social incentivization to attract people to operate the machines; and a multi-axis movement measuring device, programmed to operate over either a USB HID centric protocol, or in cooperation with a p/s 2 interface, utilizing electronic bit toggling and sampling as an information transmission medium, working as a component of a machine local network of components acting in harmony. That we can not in one individual instill the understanding of PCB fabrication processes, semi-conductor fabrication processes, refining and extraction processes for the material inputs thereto, and the measuring processes to divise a means of detecting when a task has been satisfactorally carried out so as to meet the needs of the next step of processing culminating in the assembly of a final product. We cannot, in short, break latger problems into smaller problems, listing them, and enabling an individual to handle those one at a time. Our entire field of study (computer science) is a fraud. Because one entire half of the space/time tradeoff spectrum is just frigging lopped off. Problem decomp doesn't work, and isn't applicable across all problem spaces.
That's what we're admitting here if we accept this proposition to be true, which I am not at all willing to grant, seeing as my very existence is predicated on that ability having been demonstrated at least once by someone. The state spaces may be growing, but with that, we devise new ways of coming to terms with addressing and navigating the respective prerequisite corpii of knowledge.
Are there other processes that further constrain the space based on societal architecture? You bet. That's still addressable though. The real question on addressing that though is will. Does it matter enough for everyone to put down what we're doing and really reach a consensus on a new set of societal constraints in order to change the possible realities we can manifest?
TL;DR: the problem is one of will. Not fundamental incapability. Any arguments predicated on "but no one does <drilling down into problem spaces until their brain hurts>" will fall on deaf ears, because despite the ongoing suffering it causes; I do that, because no one else seems to be willing to.
I am the current living counterexample, and if it's my fate to be that so as to cut off everyone trying to lower the bar at the knees, so be it. and I will fight you for as long as I am able so someone can at least point to somebody that does it. If I have to pull a Stallman-esque chief GNU-isance to tilt the scales, then so bloody be it.
It'll be the most courteous fight humanly possible, but I refuse to give any quarter in this regard. The only thing between you and knowing how to do something is your willingness to chase it down. Period.
I'm not trying to cast aspersions on anyone here. Just stating an objective fact. An ugly, inconvenient, really comfortable to partition off in a dark, unfrequented part of your psyche fact. No one here should feel like I'm trying to make them feel like less of a person, or less accomplished than you no doubt are. But I am stating that you and you alone are responsible for drawing the lines indicating the lengths you are ultimately willing to go to achieve X, Y, or Z.
I’m sure you are very knowledgeable in a good variety of fields and I genuinely don’t mean the following comment as a snub but I’d wager you know a lot less than you think you do. In my experience people who claim to understand something, generally don’t. And those who claim ignorance tend to know more than they let on.
The problem with knowledge is that the more you learn, the more you realise you don’t know anything at all.
So if you believe you’re capable of understanding all of human knowledge, then I question how deeply you’re studying each field.
Good luck with your endeavours. I at least respect your ambitions, even though I don’t agree with some of your claims.
Actual AGI is nowhere near realism yet anyway.
Fire Upon the Deep is the first of 2 (or 3?). I highly recommend that. Older readers will love the Usenet jokes.
It's a guest essay. The Economist does not edit guest essays. They routinely publish guest essays from unabashed propagandists as well.
https://www.prospectmagazine.co.uk/culture/40025/what-the-ec...
In other words, Vernor described an exponential curve. But are there any exponential curves in reality? AFAIK they always hit resource limits where growth stops. That is, anything that looks like an exponential curve eventually becomes an S-shaped curve.
1. Humanity has already been on the path of exponential growth. Take GDP for example. We measure GDP growth by percentages, and that's exponential. (Of course, real GDP growth has stagnated for a bit, but at least for the past ~3 centuries it has been generally exponential AFAIK). Not saying it can be sustained, just that we've been quite exponential for a while.
2. Not every function is linear. Sometimes the exponentially increased inputs will produce a linear output. I'd argue R&D is kind of like that. When the lower hanging fruits are already taken, you'd need to expend even more effort into achieving the next breakthrough. So despite the "exponential" increase in productivity, the result could feel very linear.
I would also like to add that physical and computational limits make the whole singularity thing literally impossible. 3D space means that even theoretically sound speedups (eg. binary trees) are impossible in scale because you can't assume O(1) lookups - the best you can get is O(n^1/3). Maybe people understand the singularity concept poetically, I don't know.
I'm also gonna recommend Accelerando - https://www.antipope.org/charlie/blog-static/fiction/acceler...
As an aside, I'd also recommend Glasshouse (also by Charles Stross) as an exploration into the human remnants post singularity (and war)... followed by Implied Spaces by Walter Jon Williams...
> “I and my confederates,” Aristide said, “did our best to prevent that degree of autonomy among artificial intelligences. We made the decision to turn away from the Vingean Singularity before most people even knew what it was. But—” He made a gesture with his hands as if dropping a ball. “—I claim no more than the average share of wisdom. We could have made mistakes.”
for a singularity averted approach of what could be done.
One more I'll toss in, is The Freeze-Frame Revolution by Peter Watts which feels like you're missing a lot of the story (but it is because that's one book of a series) and... well... spoilers.
His example was the internet boom. Look back to the very toe of the curve in the late 80s and early 90s where the internet started being a thing that was accessible and not just a way for colleges to send email to each other. Could you predict what it would be like two or three decades later?
The other works are science fiction that explore the Vingean Singularity (which was from '84) that were written in the '00s and explore (not panic) the ideas around society and economy during the time of accelerating technical growth and after.
My conclusion is similar to Verge’s: predicting the far future is impossible. We can imagine a variety of scenarios, but you shouldn’t place much faith in them.
Predicting even a couple years in advance looks pretty hard. Consider the next presidential election: the most boring scenario is Biden vs. Trump and Biden wins. Wildcard scenarios: either one of them, or both, dies before election day. Who can rule that out?
Also consider that in any given year, there could be another pandemic.
History is largely a sequence of surprise events.
My go-to example is that we have run into similar things with the pace and volume of "Science". For a long while one could be a scientific gentleman and keep up with the sciences. As a whole. Then quite suddenly, on the other side, you couldn't and you had to settle for one field. And then it happened again: people noticed that you can't master one field even, on the current side. And you have to become a hyper-specialist to master your niche. You can still be a generalist - in order to attack specific questions - but you better have contacts who are hyper-specialists for what you really need.
Today, I am trying (but struggling!) to keep up with the evolving libraries and frameworks for frontend development in Typescript!
It’s intuitive and simple to you and me. But languages change, slang changes, metaphors change and equipment changes. Business models exist today that were unthinkable 40 years ago because the ubiquity of computation did not exist.
She’s suffering, in Toffler’s words, a “future shock”.
Now imagine that another 40 years worth of innovation happens in a decade. And then again in the subsequent five. And faster. You’ll have a hard time keeping up. And not just you: kids will too. Things become incomprehensible without machines doing most of the work — including explanation. Eventually you, or your kids, won’t even understand what’s going on 90% of the time…then less and less.
I sometimes like to muse on what a Victorian person would make of today if transported through time. Or someone from 16th century Europe. Or Archimedes. They’d mostly understand a lot, I think. But lately I’ve started to think of someone from the 1950s. They might even find today harder to understand than the others would.
That crossover point is when the world becomes incomprehensible in a flash. That’s a mathematical singularity (metaphorically speaking).
why do you think someone from the 50s would find it harder to understand our time, than someone from an earlier age, even as far back as 2000 years?
If they had experienced the transition suddenly instead of gradually, I still think they'd be fine relatively soon.
Yes, there's an ever faster pace of change, but that pace of change for the general human population is limited precisely because of the factors you laid out: people can't keep up.
William Gibson said: "The future is already here – it's just not very evenly distributed."
That's what has been happening for millennia, and will be ever more obvious as the pace of progress accelerates: sure, someone, somewhere will have developed incomprehensible ultra-advanced technology, but it won't spread precisely because the general population can't comprehend/adopt/adapt it fast enough![1]
Exceptions exist, of course.
My take on the whole thing is that the "runaway singularity" won't happen globally, it'll happen very locally. Some AI supercomputer cluster will figure out "everything", have access to a nano-fabrication device, build itself a new substrate, transfer, repeat, and then zip off to silicon nirvana in a matter of hours...
... leaving us behind, just like we've left the primitive uncontacted tribes in the Amazon behind. They don't know or care about the latest ChatGPT features, iPhone computational photography, or Tesla robotics. They're stuck where they are precisely because they too far removed and so can't keep up.
[1] Here's my equivalent example to your iPhone example: 4K HDR videos. I can create these, but I can't send them to any of my relatives that would like to see them, because nobody has purchased HDR TVs yet, and they're also all using pre-HDR mobile phones. Display panel tech has been advancing fantastically fast, but adoption isn't.
Based on my understanding of people, we probably have a long way to go.
The claim might be a year or two premature. But, not five.
This also reminds me of the Eloi in the Time Machine, a book written in 1895!
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I admit looking at the 100 years before 1993, it looks like innovation is constantly speeding up, but even then there's not going to be a moment that we suddenly have infinite knowledge. There's no such thing as infinite knowledge; it's still bound by physical limits. It still takes time and resources to actually do something with it.
And if you look at the past 30 years, it doesn't really look like innovation is speeding up at all. There is plenty of innovation, but is it happening at an ever faster pace? I don't see it. Not to mention that much of it is hype and fashion, and not really fundamentally new. Even AI progress is driven mostly by faster hardware and more data, and not really fundamentally new technologies.
And that's not even getting into the science crisis: lots of science is not really reproducible. And while LLMs are certainly an exciting new technology, it's not at all clear that they're really more than a glorified autocorrect.
So I'm extremely skeptical about those singularity ideas. It's an exciting SciFi idea, but I don't think it's true. And certainly not within the next 30 years.
It's another application of advanced technology appearing to be magic, but imagine transitioning into it in a matter of hours, then with that advanced tech transitioning further into damn-near godhood within minutes.
Then imagine what happens in the second after that.
It may be operating within the boundaries of physics, but they would be physical rules well beyond our understanding and may even be infinite by our own limited definition of physics.
That's the curve.
Hardware is a bottleneck. Better hardware can't be designed, manufactured and installed in minutes.
You can't just infinitely improve software sitting on the same hardware. At some point the software is as efficient as it can possibly be. And realistically a complex piece of software won't be close to optimal.
You people love dreaming up possibilities but you never stop to actually think about the limitations. You just assume everything will work out magically and satisfy your fantasy.
So singularity people think 2 fallacies:
1. That it is possible to write an exponential function that somehow scales to asymptotic
2. That it is possible to write software that is so energy efficient that its output somehow exceeds the power draw
1 can be redefined to say "effectively" vertical. Ok. Cool motive, not a singularity.
2 can be handled by pumping more and more power in to the machine and building new nuclear plants to do so. This is what Microsoft is doing today.
Yes you can. The Cloud.
Are we sure things like biology, or heck, even the universe as a whole and its parts, aren't "glorified x thing"? Can't we apply this argument to just about anything?
As for the prompt(s), to use such a limiting term, they could as well come from a self-reinforcing loop that starts when we're born and is influenced by external stimuli.
I could be wildly off base, but seeing many of the (often heated) arguments made about what AI is or isn't or should or could be, it makes me wonder.
Although we're certainly making a lot of progress on other aspects of intelligence.
And then there's all the talk of a singularity in innovation or progress that to me betrays a lack of understanding of what the word singularity means, and a lack of understanding of the limits of knowledge and progress.
It seems to me that on one extreme there are people easily anthropomorphising advanced computing and on the other extreme there are people trivializing it with sentences like "glorified x thing". This time around it's "glorified autocorrect" and its derivations. It's always something that glorifies another artificial thing, and I suspect that if and when we will have recreated the human brain, or heck, another human, it will still be a "glorified x thing".
As 0x0203 said, maybe it is to be ascribed to the religious substrate that takes offence at anything that arrogantly tries to resemble the living creatures made by God, or God himself.
I use LLMs regularly in my job - many times a day - and I suspect you haven't used them much if you think this.
They're relevant to the singularity discussion though, because they already give a taste of what superhuman intelligence could look like.
ChatGPT, for example, is objectively superhuman in many ways, despite its significant limitations. Once systems like this are more integrated with the outside world and able to learn more directly from feedback, we'll get an even bigger leap forward.
Dismissing this as "glorified autocorrect" is extremely far off base.
But so is a car.
ChatGPT is mostly superhuman in its ability to draw upon enormous numbers of existing sources. It's not superhuman, or even human, in terms of logic, reasoning, or inventing something truly new.
>...accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue.
Personally it's always bugged me that the "technological singularity" is some vague vision rather than a mathematical singularity. I suggest we redefine it at the amount of goods you can produce with one hour of human labour. When the robots can do it with zero human labour you get division by zero and a proper singularity.
> In 1993 Vernor Vinge drew on computer science and his fellow science-fiction writers to argue that ordinary human history was drawing to a close. We would surely create superhuman intelligence sometime within the next three decades, leading to a “Singularity”, in which AI would start feeding on itself.
Yes it was Vernor, but he said something much more interesting: that as the speed of innovation itself sped up (the derivative of acceleration) the curve could bend up until it became essentially vertical, literally a singularity in the curve. And then things on the other side of that singularity would be incomprehensible to those of us on our side of it. This is reflected in Peace and Fire upon the deep and other of his novels going back before the essay.
You can see in this idea is itself rooted in ideas from Alvin Toffler in the 70s (Future Shock) and Ray Lafferty in the 60s (e.g. Slow Tuesday Night).
So AI machines were just part of the enabling phenomena -- the most important, and yes the center of his '93 essay. But the core of the metaphor was broader than that.
I'm a little disappointed that The Economist, of all publications, didn't get ths quite right, but in their defense, it was a bit tangental to the point of the essay.