Making yourself less and less special

Over the last couple of decades, we have seen a rather disturbing development. Negative multipliers.
Where the ‘trickle down’ economies have been proven to be the lies that they were assessed to be but no-one listened because the truth already then was buried in the impostor-syndrome shouting of the powerful (not: autorities; they hadn’t any, not: leaders; they didn’t) that were on their way to prove Piketti correct (despite the nitpicky critiques, he was and is; facts overwhelm secondary/tertiary methodology issues). But this is a digression.

Where, moreover, and foremost, sites, platforms, apps, that tried to ‘cut out the middle men’ by brokering themselves … did all a disfavour.
It started with banks et al., once the epitome of the service industries. A large part of the manual processing was transferred to masses of clients. E.g., transactions entry. Left to masses, millions, of unspecialised users thus costing those users millions of man (sic) hours, still today — ad having saved banks much, much less labour costs as management of the processes, coaching the users and systems etc., grew a little and the cheapest categories of labour only saw some cuts.
So, all are worse off, some more than average, and little was saved or made any more efficient or so. All this was sold as Progress and improvement.

This falsehood has been copied into the app world. Where e.g., real estate agents/brokers, are being cut out by self-service apps. Which means less agents/brokers, that were specialised in what they did hence could do it efficiently and earn themselves part of the savings that accrued to the sellers, buyers, since they outsourced their sides in the process not for nothing. The clients, they could earn a living and make enough to provide the brokers with an income. From which the baker could be paid; the baker could pay the butcher, the butcher could pay the supermarket clerk (indirectly), etc.etc.etc. — your classical definition of multiplier effects.
Now that everywhere, not only are people bound to do all sorts of business to which they weren’t accustomed let alone trained, thus losing valuable opportunity to remain specialised i.e., make the most money of their expertise hence had the most available (hum, more or less I know) to multiply (in an economic sense, you pervert mind),
but also numerous links in the multiplier chains are cut out, turning the positive multiplier chains into negative job loss – spend cut chains. It even brings secondary/tertiary markets to life, even when it’s about almost-no-human business…

But will the 0.1% care ..? Not likely.
So we’re doomed. Or ..?

And:

[No time, money to go flaner anymore; M’drid]

Aggregation is stripping noise; close to emergence but …

Still tinkering with the troubles of the aggregation chasm (as in this here previous post) and the hardly visible but still probably most fundamentally related concept of emergent properties (as in this, on Information), when some dawn of insight crept in.
First, this:
Photo11g[Somewhere IL, IN, OH; anyone has definitive bearings? JustASearchAway found it. WI]

Because I’ve dabbled with Ortega y Gasset’s stupidity of the masses for a long time. Whether they constitute Mob Rule, or are (mentally to action) captives of the (or other!) 0.1%, or what. My ‘solution’ had been to seek the societal equivalent of the Common Denominator – No! That may be in common parlance but what is meant here, much more precise, is the Greatest Common Divisor.

Since that is at work when ‘adding’ people into groups: Through stripping differences (as individuals have an urge to join groups and be recognized as members, they’ll shed those) and Anchoring around what some Evil Minds may have (consciously or not) set as GCD-equivalent idea, the GCD will reinforce itself ever more (immoral spiral of self-reinforcement), mathematically inherent through adding more elements to the group for GCD establishment and (not ‘strictly’) lowering. [The only difference being the possibility of a pre-set GCD to center around; just make it attractive enough so the mass will assemble, then shift it to need ..!] Where the still-conscious may not want to give up too much of their individuality but may have to dive under in their compliance coping cabanas just to survive (!?).

So, aggregation leads to the stripping of ground noise which may lead to patterns having been pervasively present but covered by that noise, to emerge. Like statistically, a high R2 but with a low β – but still with this β being larger than any of the others if at all present. This may be behind the ‘pattern recognition’ capabilities of Big Data: Throw in enough data and use some sophisticated methods to ensure that major subclasses will be stratified into clusters and be noise to the equation. [That GMDH, by the way, was the ground breaking method by which I showed anomalous patterns in leader/follower stock price behavior (Shipping index significantly 2-day leading one specific chemicals company; right…) in my thesis research/write-up back in 1994, on a, mind you, all hard-core coding in C on a virtual 16-core chip from mathematics down to load distribution. Eat that, recent-fancy-dancy-big-data-tool-using n00bs..!]

By which all the patterns that were under the radar will suddely appear as patterns in Extremistan DisruptiveLand would; staying under the radar until exploding out of control through that barrier (but note this). As emergent.

But just as metadata is not Information but still only Data, the Emergent isn’t, really. Darn! Close, but no Cuban.
As the pattern is floundering on the research bed when the noise around it dries up, it is not necessarily part of every element in the data pool and potentially can only exist (be visible) at aggregate level. But can and ex-ante very much more probable be part in one or some or many elements of the pool, which would be methodologically excluded from the definition of Emergence / Emergent Characteristics (is it?). And, if the noise is quiet enough, would already be visible in the murky pool in the first place as characteristic not ‘only’ as emergent as the definition of that would have it.

So, concluding… a worthwhile thought experiment, sandblasting some unclarity, but still, little progress on understanding, felling-through-and-through, how Emergence works; what brings it about. But we should! It is that Holy Grail of jumping from mere Data to Information ..!
Joe Cocker just died a couple of weeks ago. Fulfill his request, and little help this friend here, with your additional thoughts, please…

HTTP status 418 against unpersonation

Though we’re halfway towards granting legal person rights to animals (as this and this show), and you know a lot of co-workers for whom this presents a nice little bit of progress, I’d say we have also moved great strides in the opposite direction.
Which is far more dangerous.

It all started, throughout the ages over and over again, with the already-responsibility-deprived weasels (a.k.a. ‘mere employees’ and ‘leaders’) wiggling out from under the burden of guilt for, e.g. most recently, the Sony hack, the financial crisis; you name it. With excuses ranging all the way from “I wasn’t important enough to had been able to make any noticeable difference anyway” to “If I hadn’t done it, someone else would have and at least now it was me with still some consciousness that did it” – where one’s character speaks through one’s actions …
Which in sum total, through a particularly nefarious twist of aggregation and emergence (read back this little badly unnoticed gem and you’ll get it) leads to … dehumanization of these speakers, and corporations seeking personhood as well.
Which is far more dangerous.

All of you that behave this way: You’re not underestimating the dystopian version of the Singularity, but actively bringing it on … by degrading your own independence, freedom (of mind and action!), identity, humanity, and value. By suppressing any questioning of the Überbureaucracy, actively, by frowning of much worse on those that want to remain human and social (i.e., exchange ideas). Etc. To no end.
To the end of letting the force of nature, the beast within, to explode out through the most deviant, unthinkably inhumane, behavior in particularly with the ones that were most and first in line with ratio, bureaucratic petty rules, i.e., the ones holding sway over all others including you. With the explosion hitting you, too – and you have no answer either now or then…

Complexity, of the world, of societies, of your immediate environments (Sloterdijk’s spheres, yes), of yourself, is no excuse to shut down. It should be a wake-up call, a call to arms, a sacrifice … not to ritually celebrate past developments, but to progress out of the complexity …!
My fabourite option: a healthy dose of status code 418 for all, not always, but every now and then, here and there. Life is too important to always take seriously!

Well, I’m off to some very dense prose, where mere text lines are ever more narrow in their description of the richness of the ideas and constructs to be discussed. Hence will part ways, with:
DSCN1441[Bam! Out explodes the force of nature]

Predictions 2015

So… The End is Nigh. Hence, my predictions for beyond it.

As 2015 is about to kick off, herewith my predictions of what happen in Internet / IT land, as notable in the global society, being part of my mind frame. Or so.
To not make things too difficult to understand, I’ve assembled a mixed bag of abstract notions and concrete(ly noticeable) stuff that will happen, interlaced with all sorts of fancy graphs and dull pictures – to make you think not applaud sheepishly. Think, think first, deeply, and then still agree with the clairvoyance of:

  1. A first easy start: The development of Appl. [censored] stock as a systemic risk to the (financial and other) world. As the 1 trillion dollar mark approaches, how much would a stock need to corner the market in terms of risk ..? In particular when it will turn out to not be hip anymore somewhere during the next year:
    are_you_a_hipster_flowchart
  2. Another of this kind: Docker. As explained before on this site, this underpinning of cloud-to-cloud portability, now backed by all the major brands and a bunch of others as well – those not in, to fall off the bandwagon, hard! –, will surface as a big-time hype catchphrase and will even get implemented quite extensively. Though the latter will remain under the surface for most outcrowd.
  3. Aie oh Tee. Yes, as it rallied to the fore already in 2014, but will now burst out in earnest. After Kurzweil’s agenda, despite Carr’s, and beyond the nerdy early innovators’ adoptions. For the various directions that IoT will develop in, see this here earlier post. These streams will become more distinct next year.
    • At least, the ‘domotics’ / wearables markets will come to full steam, in particular as retrofitting becomes easy and invisible.
    • Security and audit (vendors racing to lead the former, you may thank and reward me in advance for the latter) over IoT of all kinds, will rapidly improve. See below.
    • AI will get integrated. Because reasons. Being:
      trolley_problem
      [Useful if not when you understand what’s going on here, both (!) story lines]

  4. Disruptions: In particular the unsettling decentralization ones. Like:
    R1412B_A1
    Where grassroots sharing on either the supply side, the demand side, or both, will rule.
    OR the Amazonian style of Big Corp obliterating the defenseless old, may intervene.
  5. AI. A big, very big one in 2015 – whether you like it or not, the Kurzweillian happy go lucky augmented-humanoid buds will come to fuller bloom next year.
    • E.g., the above trolley problem and similar ethical and philosophical questions will be discussed profusely, hopefully delivering some twists and turns that settle parts of the problems. All of them, probably cannot be resolved once and for all; the Gödelian knots in them, are systemic and no re-definition of the problems may prevent that. FACT. But progress is there.
    • And/or, there will be many snap-to-make-sense solutions coming out. Partly or fully automated [visual|speech]-to-[text|interpretation]-to-[information|action] will arrive on any device. Take this article as example of early stages; using spreadsheets – how Old School! but still pervasive ..!
    • And many more applications. Like this. Big G’s X Labs is at full speed. And will come with many breakthroughs…
    • Oh, even before this post aired, this here interesting development…

  6. XYZCoin will continue to develop in the next year. Structures will emerge. Look for development in all the main sectors:
    • Sorting of all the sorts of coins. Zippcoin may flourish. Litecoin, maybe. Others?
    • Wallets (software wallets, and web/mobile wallets);
    • Payment processors (payment service providers, and payment networks);
    • Exchanges (xyzCoin exchanges, spot/forward exchanges, and stock exchanges);
    • Borrowing and lending (peer to peer borrowing and lending, and bank-like borrowing and lending);
    • Hardware and equipment development (for mining and ATMs);
    • Investment vehicles (ETFs, trusts, venture funds);
    • Other (binary options, casinos, microworks sites);
    • Secondary and tertiary systems of cryptographic(‘ally provable’) unicity of IDs. This actually will be the Big One. As Zippcoin delivers a Basic Income in the economists’ sense. As DACs will do all sorts of strange things, hard to understand by most, easy to reel off in dangerous directions similar to quants having been ill-understood (at a deep, fundamental understanding/meaning level) in the financial derivatives world… And as explained here and here in its systems details.
      But then, if you’d claim to understand already, the following would be easypeasy for you to explain, right?
      screen-shot-2014-04-29-at-5-15-27-pm

  7. Security. Finally, something closer to home. Here, a natural modesty may cloud the actual vast progress. Like in:
    • The spread of OSSTMM. More a gaining of ground. But from there, anything goes. ISO27k1:2013 may still go around, and will indeed have a major impact on the efficacy of InfoSec implementations – now, hopefully, where applied correctly (one fears in a precious few places only; the rest performing dismally), optimizing visibly and efficiently for maximum effect. But still, it will have to be augmented with OSSTMM(-style) concrete InfoSec business. Even when the compliance/certification Totalitarian-Bureaucrat mumbo-jumbo will continue.
    • IoT security. Vendors are onto this now, mainly in the B-Internal and B2B markets (explained in these posts).
    • Encryption of data by default, throughout. Quite an example of InfoSec basics spreading under the radar. Even socmed tools will incorporate this. Effectiveness (security levels achieved) may vary widely, but the attention is good. Very good.

OK. So far, so good. First, let’s celebrate the end of the year commemorative days, in a solemn and thankful, humble way. Then, party like it’s 2015 all the way. And, I’ll leave you with:
DSCN8963[Not oft seen, at Viana do Castelo]

[Edited to add: I’ve upgraded the predictions a bit, and turned them into a PPT. Yeah, I can do More Slick but this: ISACA Zuid 2015 01 21 (in Dutch but you get it) is how it is…:]