IA or AI?
vanemden.wordpress.com
vanemden.wordpress.com
In Rome, a nomenclator was a slave who remembered people's names for you, and as they approached would whisper to you that this is Gaius Tullius Castor, his wife is Flaminia, his eldest boy is Marcus, and he owns beanfields.
A Google Glass camera on your eyeglasses and a speaker in your ear, hooked up to Facebook's face recognition and social web, can tell you a quick precis of who you see across the room before they get to you. Add a touch sensor in your pocket or on a ring for unobtrusive control, and a mic to pick up your annotations or commands, and you've got a product that should be a major hit by the second generation.
Even now that Glass has been canceled for all but commercial use, it's still in the guidelines that you aren't allowed to use face recognition: > https://developers.google.com/glass/policies?hl=en " Don't use the camera or microphone to cross-reference and immediately present personal information identifying anyone other than the user, including use cases such as facial recognition and voice print. Glassware that do this will not be approved at this time. "
Amusingly, my nursing notes demo was me trying to be politically correct. People were more interested in things like cross referencing most wanted lists and sexual offender lists.
Great read for anyone interested in IA or AI.
I posit this post tangentially explains the nagging feeling that many parents[1] experience when their children struggle with mathematics. The benefits of basic language literacy are clear, but follow-on analogies such as the above emphasize a point of view concluding that an inability to attain mathematical fluency excludes the next generation from any implied augmented intelligence benefits.
The extrapolated message would be that mathematically disinclined adults will then be completely unable to comprehend certain important thoughts in [insert arcane, highly-specialized technical field].
Regarding the question posed by the title and last sentence in the blog post, I'm not sure why the thrust is framed as an XOR, and not as an AND. It's not like we can't focus on both IA and AI at the same time.
[1] Anecdata warning: I am a parent. I have this nagging feeling.
I think OP want to say that AI is a mean, whereas IA is an end. The real goal of AI is IA.
Also I think that aiming for IA will provide small benefits in the short term but a lot of benefit in the long term taking into consideration the slow pace of IA's innovations emergence like it's the case of GUIs (as explained in the article).
Whereas AI doesn't provide benefits in the short term at all if not applied to IA. From my AI enthusiast understanding, what happens is that instead of applying the discoveries of narrow AI, researcher are jumping into AGI which doesn't help to spread IA innovations and lower the chance of emergence of new discoveries not necessarily related to the field of IA or AI.
That's how I understand that aiming for IA provides more overall benefits.
Well, only in some ways. I don't have to understand how a refrigerator works in order to use it. Improvements in quality of life produced by use of augmented intelligence ought to be accessible even to those without it.
Oh and refrigeration is simple, it is just an application of the ideal gas law PV=nRT, and a pump. Refrigerant is compressed then cooled through use of a heat-sink then pumped into the refrigerator and allowed to expand where the refrigerant absorbs thermal energy and is pumped out and repeated.
AI, on the other hand, while very useful, doesn't change people. And frankly, most problems we have are because people lack understanding. I don't know about you, but I don't actually want to replace mankind with something else, I just want us all better.
Of course, what "better" is--is highly debatable, so that definitely gives pause as well.
How about computer games? I daresay that experience created with them can be beneficial to inteligence. Interaction with AI in games happen to be interesting to take a look at.
Except that think that process of creating AI is an IA experience. If you want to make AI you wonder what make you inteligent. As you observe your outcome you understand your inteligence better. Better understanding better inteligence.
All in all, I don't get why AI would exclude IA (or oposite). Although I'm grateful for sharing an idea of IA.
Likewise, people not so smart with numbers had calculators. People needing conversions have Google and Frick. There's financial and accounting packages that can convert lots of numerical assessments into simpler forms to aid the user's understanding. ERP and BPM, done right, let a person ignore inconsequential details to focus on high-level aspects of business operation. Wikipedia for summaries + Google for details and verification let one amass expertise in a new domain rapidly.
And so on and so forth. Intelligence Augmentation and Artificial Intelligence both have proven value. Both are used today. So, we can keep both. :)
Except most `genius IQ' don't end up as high achievers or even happier persons.
As such many with a genius IQ pretend not to be in order to be accepted. So their talents are wasted.
However, if everyone was augmented there would be no need to pretend to be "normal" just to be accepted. So much more could then be accomplished.
In fact, I think today's "normal" would be tomorrow's "intellectual disability."
There are many successful geniuses as well. And those are often wildly successful. Again, if everyone was that way it would be acceptable, rather than odd, to care about real achievements.
Not to be negative but citation needed.
Also (I guess we'll cross "isolation" of the list): https://en.wikipedia.org/wiki/Intellectual_giftedness#Social...
In observing my "normal" peers, honestly, they do a lot of very strange things just to be considered normal.
I mean, it's pretty expensive just to keep up with current trend of sunglasses size or sock length, just to be seen as normal.
Not to mention that you have to hold your hands a certain way and talk incoherently.
There is a lot of "normalizing" behavior that becomes unnecessary when everyone has the capacity to see how inane and impractical such behavior really is.
That seems to suggest the cause of the problem is a lack of high IQ individuals. If the majority had a high IQ due to IA, nobody would feel isolated by their high IQ (although then the low IQ minority might feel isolated).
>The undisguised appeal to anti-intellectualism and anti-individualism was frightening. He was talking about his "augmented knowledge workshop" and I was constantly reminded of Manny Lehman's vigorous complaint about the American educational system that is extremely "knowledge oriented", failing to do justice to the fact that one of the main objects of education is the insight that makes quite a lot of knowledge superfluous.
Wish the author went into more detail on why now may be different than during Kay/Engelbart's time.
[0] https://www.cs.utexas.edu/users/EWD/transcriptions/EWD03xx/E...
I am guilty of deifying Englebart and Kay, and castigating "our society" for failing them. After my honeymoon period with the "tool of thought" people, I've calmed down.
Here's my radical belief: portability is for people who can't write their own programs. (copped from a Torvalds witticism)
Consider writing and literacy: If you really grow up in a literate culture, you can start with a blank page and end with a bespoke document that suits your needs. If you don't grow up in that, you have to modify others' documents. This limits you. Hallmark cards are for people who can't write poetically (no judgment intended).
So too for programming. Today we rely on hundreds of millions of lines of code of others we can't even realistically modify. But I think the future resembles Forth: in less than a hundred lines of code, you write something that suits your needs[0]. You can't do this yet because computers suck.
I'm talking loosely and at a high-level.
[0] I think Forth is a powerful vision for the future: no operating system, no types, no compatibility, no syntax. An executable english language.
[1] Disclaimer; I am not a mathematician.
We already have amplified memory (see also: books, mnemonics). and google amplifies retrieval.
But what is "intelligence", that we might amplify it? For me, limited short-term working memory is an obstacle (EWD's "limited size of skull"). As complexity is added, earlier parts drop out.
There is the "technology" of hierarchical decomposition and the pyschological instinct of chunking, but every problem has irreducible complexity... if this is greater than my working memory, I cannot grasp it.
Artificially enhanced working memory may help here, but I suspect the limit is due not so much short-term memory itself, but it having associations throughout all long-term memory. That is, it's less a cache limit than a bandwidth limit, interconnecting with the entire mind. We aren't Von Neumann architectured.
PS: there's an argument that we might not be able to grasp intelligence itself, if its and its components' irreducible complexity is greater than any person's working memory - even if we formalize a correct model, we mightn't grasp it ourselves. Thus, IA may be essential for AI. Or, AI is essential for AI.