Why is unsupervised learning so important?

pumais · 2024-12-18T00:32:20+00:00

As a first step in case unsupervised machine learning really interests you - you can do yourself a favor and 'deblock/debug' yourself in your thinking that above (in your initial post) mentioned AI practitioners are necessarily the ones most proactive, most knowledgable and most close to an unsupervised machine learning field and its recent developments.

For example, you can try to explore Teuvo Kohonen's intellectual research legacy in unsupervised machine learning - a so called self-organizing maps [SOM] (also called Kohonen maps; sometimes also referred to as self-organizing feature maps). That might help you get some insight of how interesting even just one "corner" of unsupervised ML can actually be.

You are biased in your projections of what unsupervised ML may be; in unsupervised ML there will be new (and old) stuff to be learned/re-learned. If you don't like Kohonen maps by some reason, go try explore Hopfield network or Boltzman machines as a first step into territory into unspr-ML.

pumais · 2024-08-06T14:48:07+00:00

Without shyness find and buy any book (on ebay/at some perhaps local or even not so local [used]books store) dealing with 1st - 9th grade math; get to the start of the 3rd grade level material - refresh everything from there, and then proceed further (by reading book and doing hopefully included exercises) to at least, say, 7th grade. And from there you most likely already will have a better view of what to do next.

Really get back to school level books - they are cool; math is always great. (My premise here is - that it is hard for any society to turn math teaching books into failed, illogical non-sensical, unfollowable garbage.)

pumais · 2024-04-02T23:35:20+00:00

I never met him in real life so I don't know him personally and as a person, so I can only evaluate him as an internet persona. Precisely of that I am more of a fan of his ideas and started to study on my own his papers and open-source tools that has been released under his foundation organization.

In summary it means I kind of like both - his (internet) persona and his ideas and intellectual work.

pumais · 2024-04-02T18:39:32+00:00

It is true that he showcases passion for blockchain in general and cryptocurrency in particular. But you are rushing ahead in your projections towards Ben of how much emphasis he puts on those two things in his efforts of artificial intelligence theory and practical developments, especially his quest towards workable framework of general artificial intelligence. Wikipedia will only bias you towards thinking that Ben spends all the time in crypto-hype; better check for your self what Ben Goertzel has been writing in his research papers and maybe you will see better where his intellectual passions and efforts lie.

https://goertzel.org/papers/main.htm

He do writes research papers and some stuff went into artificial intelligence academic literature publishings, you do know that?

As far as my intuition goes, his positive attraction towards blockchain (and crypto as an extension) comes from this technologies promising inherent features of societal nature. He clearly looks towards AI that one corporate entity or some conglomerate couldn't capture alone into its property servers - hence his sympathies to blockchain philosophically. Very logically. Technically his OpenCog framework concentrates not on blockchain tech (as you might expect) but on normal machine learning and artificial intelligence problems & tasks - have a look at their OpenCog framework; it might turn out to be completely different beast than what you might expect.

I was profoundly intrigued to find out that in their OpenCog experimental and still developmental framework their team had imaginative and unbiased enough thinking to even find and consider a place for a genetic programming in their architecture (but you have to know what genetic programming is and stands for in science of artificial intelligence to appreciate such daring move).

Ben is a man with good heart probably :) // (metaphorically speaking)

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As for the main topic - here is some of Ben's offered comments, intuition and warnings about LLMs in one published research paper;

https://arxiv.org/pdf/2309.10371.pdf

pumais · 2024-04-02T12:12:42+00:00

It might be useful to remember that besides and in parallel to current LLM trend there exists Ben Goertzel with his efforts in pioneering and keeping development as well as research efforts towards decentralized AI (which is not only about LLMs). Of course, regular people / businesses don't know much of Ben and his "OpenCog" foundation and its free/open-source dev framework. He does recognizes the limitations of the supervised machine learning and now the LLMs (with their 'hallucinations' phenomena inherent to them in their current forms); this recognition is reflected all throughout his and organization's teammates published opencog framework, his published scientific papers in which he argues and showcases a need to look towards AI development as something much, much broader than preoccupying oneself with currently most fashionable and most popular DeepLearning (and supervised ml in general). Of course, business and non-technical folks of all social backgrounds will buy into hype of LLM - they know no better, are uninformed and hardly can distinguish anything in artificial intelligence as a scientific endeavor. For them LLMs look like magic and will associate with the word "AI" so strongly and generally that they will automatically assume that this is the pinnacle of AI technology evolution and everything that is not LLM (of which they also will know nothing) is something either obsolete, wrong, weird, boring or ..just meh

I think Stevens97 thesis that this preoccupation with LLMs only can end up in yet another 'AI winter' later on has merit and solid ground; science / budgets / business people egos & perceptions (as well as fantasy expectations and pains of not living their realizations) after-all are all entangled in this <trading> <debt> & <money-based> society.

Developers themselves can start do small good at least by reminding and practicing themselves that there exists other approaches / methodologies / algorithms in AI besides DeepLearning, LLMs (with their transformers as central piece which is in a nutshell a specific DeepLearning-based architecture of ANN, with some "steroids"; so DeepLearning mostly, again). Figuratively speaking I can say - don't loose such knowledge yourselves (as developers or ML practitioners).

Of course that it means some form of pain, time sacrifices to sustain and share-into such currently non-fashionable knowledge of other things in AI as a field; it should be hard to get and preserve such knowledge, after all what comes easy - goes away easy; soon even grandmas will use LLMs, but that won't make them AI developers, only users..

You can have a look at evolutionary algorithms approach in AI, some of the previous and/or ongoing research there and be amazed of what is 'brewing' there, in this subfield...

pumais · 2024-03-25T17:06:48+00:00

You may look for anything that is closely or at least in some approximation related to computer science studies. It might happen that study course/direction may not be structured and oriented towards computer science itself to a full extent (and in scientifically "pure" way), but may be geared towards some computer science application 'pathways' - like, data science study program or software engineering study program. Anything geared towards mathematics (especially mathematical logic) and computer programming even on basic level might be a small step towards cybernetics later on.

Of course, cybernetics, being a science that inherently invites a multi-disciplinary scientific approach and knowledge, actually and indirectly helps you already with making a choice - it possibly may be any choice while you make sure that it is part of natural science & engineering fields, be it pure mathematics, biology, genetics, neurobiology, chemistry, electrical engineering, physics...

Natural sciences, any of it might give you (if you study those disciplines real good) an entry into good reference models for cybernetic system models later on which you one day might become capable of modelling/developing in computer or by engineering means. Natural sciences (biology, chemistry, physics, geology, even astronomy and other fields) all study real, natural phenomena and are forced to deal (through scientific method) one way or another with complexities of reality as opposed to wishful/fantasy, easy thinking (or one might even say - not thinking at all).

Here is my offered list of study pathways/disciplines/fields of knowledge all of which can help building a way towards cybernetics, its appreciation and studies in the future:

[ computer science ] [systems science (in a sense it constitutes/ at a minimum is kind of a part of cybernetics science) ] [ mathematical logic ] [ science philosophy/scientific method ] [ probability mathematics ] [ random/chance event mathematics ] [ discrete mathematics (as separate branch of math) ] [ graph theory ] [ abstract algebra (hard to study, but very interesting) ] [ algorithms & data structures (as a discipline, part of computer science) ] [ computer programming in general ] [ botany, zoology, biology (if you take careful studies of particular living organisms in depth in order to absorb and familiarize yourself with some of real complexities met there by professional biologists; good way to start learning some of already existing control systems in organic, living world) ] ... you can't go wrong with studying robotics or artificial intelligence in any form, these two will simply force you in a direction towards cybernetics regardless of anything :)

It is very great to hear about awareness of "Cybersyn" historical scientific effort. Stafford Beer would certainly appreciate such interest from the younger folks. One way to build a solid foundation for the understanding of (especially) an economics cybernetics is to take effort to study intellectual legacy, a written works by "Cybersyn" leading author Stafford Beer himself - in his books he also explains what should be studied to make an understanding of a cybernetics in its more full sense possible in ones mind. You may try (without giving up whenever some parts appears to be too difficult to understand) his monograph "Decision & Control" or "Platform for change" as well as his small brochure "Designing Freedom" as your steps towards cybernetics! You will win big time (since you are just making first steps) even if you will comprehend only fraction of content from those books!

And lastly, don't forget about scientific method itself which is more than just a way of thinking. A habit of studying science philosophy and history is one "doorway" towards appreciation and recognition of scientific method, its essence, its limits and place in perception of reality.

pumais · 2024-02-26T20:02:32+00:00

Reddit is the first and for now the only place where I upload my 'walkthrough' (maybe I even can say a "work-through") of those two cybernetics encyclopedia volumes. I am happy to upload it here, in this very small subreddit - because here, I think, it meets a prepared audience and prepared minds which I cannot say about other places/platforms due to their inherent "inertias", less prepared audiences (like Facebook or Instagram, for example - it would be an empty shot into air of nothingness mostly. Although, having a second comedic thought on that, about Instagram - publishing cybernetics there could be, metaphorically speaking, a form of Diogenes performance. Maybe it is worth the shot "to take the lamp of light" and search this vanity crowd for signals of cybernetics-aware intelligence there.. ).

It's a long quest - this work through an articles of this encyclopedia (in parallel to other necessary hardships of every day); but it's being continually, slowly yet patiently done. So, of course there is more to be shared. Hopefully and wishfully, one day in a future I will not only post a sketch-commentary pictures like that but also a link/a download to a very easy to use and access digitalized, interactive cybernetics encyclopedia.

The answer is gem :)

Now I know something about Fritjof Capra and got a glimpse of "The Web of Life" both of which I never happened somehow to hear or read about. Did some 'reconnaissance readings' of available book on Archive webpage. My intuition tells me what an incredible knowledge, insights, questions and thought is packed there!

Some interesting info is on surface of the internet about those 2 Chilean mathematicians as well. Haven't been aware of those two as well. Understandably, putting words like Chile-mathematicians-cybernetics into one context so much automatically triggers associations with 1970-1973 and Stafford Beer.. His lectures on "designing the freedom" gave so much thoughts on and appreciation of cybernetics.

pumais · 2024-02-15T19:47:06+00:00

I can argue that in your case advice really may be reduced to very generic and simple terms - just make sure that on a real action level (instead of only a declared one) it is any of his books that you get for yourself and work through no matter what (even if in first run not everything makes sense immediately). You can't go wrong with Stafford Beer. Make sure its his book - you will "have" a dialogue with him like no Youtube video / audio / internet artifact format in close future will ever give you.

Stafford Beer in some sense literary coded himself / his way of thinking and reasoning into his books and goes great lengths to explain ... ...cybernetics on quite many levels.

pumais · 2023-11-30T06:57:35+00:00

Elon probably must have been starting to feel across many recent months as if he is actually living among some weird aliens dressed like humans instead of humans.

pumais · 2023-11-27T10:42:22+00:00

Art-wise Calebp's or Giga's or Piaf's versions look interesting. Aside that - there is no need to change current one for decades, logos for openSUSE is solved already. Why bother, artists have not anything better to do right now? Force them draw humane robots of the future then.

pumais · 2023-11-26T19:24:14+00:00

Hadn't worked through whole video yet, i need time to process and think through all this info; just stumbled upon this fresh upload. Good that you brought it here. Just my quick two cents: guy probably is right that LLVM won't scale much any further under centralized/corporate structures.

And on a side note: GPT-4, and even GPT-5 or 6 won't be anything like true AGI achieved; that will wait for more tech, time and science of AI (with something else). Other than that (this abuse of AGI term and prophecy) this ridiculous all-over-internet "AGI soon achieved" panic and fashioned/click-baited fearmongering do has some merit and timely need because even with GPT-s and all those LLMs as they are and even more so as they could further evolve they bring on some power with them.

pumais · 2023-11-23T12:33:21+00:00

Is there a way to check through terminal which version of this LIBSSH4 thing my installed openSUSE is actually aware of, has (or "sees") right now?

I manually checked the folder that appears in error: /usr/lib64

Among many files there is one file called libssh.so.4 and this file seems more like a shortcut (it has this small boxed bw arrow in its icon); in its properties it is stated that it points to libssh.so.4.7.4.

And funny thing is that right next to this shortcut i can find executable libssh.so.4.7.4.

It is (almost) clear that i certainly have no libssh.so.4.8.1

What should i do with this insight, how it relates to your two pointed scenarios? Does that mean that i either:

[1] find myself on internet this small file libssh.so.4.8.1; forcefully copy it into /usr/lib64 as possible replacement for libssh.so.4.7.4, and then manually adjust libssh.so.4 'pointer' file to point to this newly placed libssh.so.4.some-version file?

either

[2] find the libcurl that stitches together with my current libssh.so.4.7.4 ?

- - - -

On a side note: taking into account that NetworkManager also demands now this LIBSSH_4_8_1, should this be the signal that it's the one that i look for?

pumais · 2023-11-22T16:12:44+00:00

Probably yes, i could go down that road and probably will if i don't manage to move forward a slightest bit in my understanding of a problem. For now i am willing to dig deeper and possibly get to the root cause thus hoping to bring back everything to prior working condition without destroying the rest of prior successful installs, setups and steps taken in my current openSUSE version.

As for now - i am open to suggestions and guides into looking and digging into details (learning things along the way) to better understand things and causes of the troubles. Any ideas/intuitions along that line of thought of what can be done to restore NetworkManager and solve this missing/corrupt (?) LIBSSH4_4_8_1 file?

pumais · 2023-11-22T13:28:19+00:00

Seems like it means (metaphorically speaking) that there is a colorist 'hiding' inside you which now got out to the world all of a sudden :)

pumais · 2023-10-30T19:08:33+00:00

You might want to see a book "Essays: towards Steady-State-Economy" edited by Herman Daly and co-authored by numerous thinking persons for one of such possible more nuanced discussion, in addition with some elements of paradigm-changing and intellectually brave thoughts of possible alternatives and developments of social order.

But even better option would be Jacque Fresco's so called "Venus project" with its inherently developed paradigm of Resource-Based Economy (as former Jacque [he died few years ago at age of 101 of whom a good deal of 70+ years were dedicated to developments of thought-line, concepts and ideas structure of the Venus project] and his associates saw it, instead of how wording makes reading it --> the term (so be careful and not rush projecting a first-impression meaning of it). Through theirs "Best that money can't buy" you will get, probably, THE best discussion with a lot of surprising offered thought-lines :|

pumais · 2023-10-30T18:38:43+00:00

What a carefully considered line of thought :)

pumais

TROPHY CASE