Sunday, 18 August 2019

Truth

TRUTH
Paper on Truth and its attributes in context of newer description methodology DNSEA
By Deepak Loomba
Contents




Definition of Truth

Truth is concurrence of an assumption or hypothesis with objective[1] empirical evidence, using common reason[2] and State-of-the-Art technology[3]. The degree of concurrence varies for different fields - as an example in social sciences concurrence can be statistical or heuristic, while in mathematics, it is complete literal concurrence.
Hence,
1.     “Truth is always established. It is not inherent (doesn’t exist on its own)”.
2.     That which exists on its own are facts and phenomena.
3.     While knowledge is the function of links and relationships amongst facts, phenomena, views and human imagination (amongst each other and themselves).

Truth and it's fitness for purpose

The need of investigation to establish truth invariably has a purpose, in case the nature and content of truth does not fulfill the purpose for which it is meant to be established, the output can't / shouldn't be treated as established truth. The reason being it’s inadequacy to fully address the purpose concurring the underlying assumption(s) or hypothesis under scrutiny.
Statistical Truths (explained ahead) have a minimum data requirement and minimum duration of scrutiny that should be established to then verify the concurrence of an assumption to empirical evidence for establishment of truth.

Half-Truths

Half-truths are important to be mentioned as they are a common occurrence in social lives. Often people cherry pick data to suit an assumption. Such establishment of truths is erroneous. Therefore, the size & duration for which data or information is scrutinized or analyzed should be chosen carefully to avoid half-truths truths posed as truths.

Truth and its constraints

 

Truth and scale

Static truths (explained ahead), are not constrained in scale. Which means an established truth will remain valid independent of the times it is probed.
An exclusion to the aforementioned constraints are dynamic truths (explained ahead e.g. in case of statistical and heuristic evidences) which may vary by influx of data.

Properties of Truth

Truths have no properties, in reality. But often humans use various adjectives to express their perception of truth.
These adjectives that are often used to cjaracterize truths are actually emotional connect of a person to the established truth owing to his predispositions, benefits ot disadvantages that shall accrue to him on establishment of truths. Hence, use of phrases like 'bitter truths', 'hard truths' etc.

Truth and GeoAmbience

Most Truths are constrained by geoambience (means location and environs). There are very few truths that are independent of geoambience. Generally, established truths that are free from geoambience constraints are those of the microcosm. A good example would be - "water falls from table on floor". This statement is valid only for earth. In space this truth is not valid. Therefore, a more precise truth to state will be inclusive of constraints. Hence, a more precise statement would be - "water falls from table on floor, when on earth".

Ownership of Truth

One of the major attributes of truth as stated in the first section is lack of subjectivity. Hence, an established truth stands scrutiny of/for anyone. If a truth is a personal truth, then the said truth is a mere semantic confusion, because truths cannot be personal. Believes, ethics self-interest, religion etc. are practices. They are subjective (whether personal or community) and hence don't lend themselves to the scrutiny of common objective reasoning or concurrence with any facts, phenomena or empirical evidence, at all. Therefore, they are beyond categorization as truths and should be retained as practices. Of course, individual assumptions of ethics or religion can be subjected to concurrence with empirical evidence, the result of which is pre-determined and obvious, hence is not being stated.

Statistical Evidences for establishment of truths.

In all those cases where statistics is itself the evidence to establish a truth, it is important to establish durational constraints (min. as well as max.) for which the data has to be captured or scrutiny is to be done as well as the min. quantity/size of the data, and its properties, to establish a statistical or heuristic truth.

Dynamic Truths

These are such truths that are usually established through inductive reasoning and have a tendency to alter by virtue of their being data based. With influx of newer divergent data, dynamic truths might vary, alter or collapse thereby requiring a change in underlying assumptions or even declassification of certain truths as untrue.

Static Truths

These are truths that are established through concurrence of assumptions or hypothesis to natural or spontaneous phenomena (or axioms) usually using deductive reasoning. An example would be a statement - "water falls from table on floor". This assumption concurs with natural and spontaneous phenomena and will hence be applicable for very long durations of time.
Static truths are non-statistical and generally do not vary with time and additional influx of data.


[1] That which remain unchanged irrespective of the person (actor or observer).
[2] Note use of phrase 'common reason'. This is important because personal and subjective reasons cannot be used for establishing truths. Deductive reasoning should be relied upon for establishment of Static Truths, while inductive reasoning for Dynamic Truths.
[3] Used the word 'technology' not knowledge - because technology is objective and provides same result for any/all users. Knowledge can be subjective and personal (it can be relationships amongst views or even with/amongst imaginations and assumptions). It is therefore, important to understand that all assumptions and hypothesis that are concurred with scientific or data based evidences, that are themselves conjectures should not be labelled as Truths. They retain their status as conjectures or hypothesis.

Positivity

POSITIVITY
Paper on Positivity and its attributes in context of newer description methodology DNSEA
By Deepak Loomba
Contents


Definition of Positivity

Positivity is (i) hope of fulfillment of expectations or (ii) positive valence (positive emotions like joy, happiness etc.) that is well depicted in the right side quadrants (with positive valence) of Russell Circumplex Model depicted below. Therefore, Positivity is a personal attribute.

Optimism vis-à-vis positivity, is about circumstances or outcomes of events and not so much of personal traits. Furthermore, positivity is a practice and not a state. Optimism, on the contrary, is a state.
The statement ahead showcases the link and difference between positivity and optimism - "Practice positivity to be optimistic about one's life". This statement signifies that positivity has to be practiced and a human being can train himself to be positive.
Equating positivity with happiness is a mistake often made. Positivity may or may not lead to happiness for one or those with whom one interacts.
It is important that whatsoever is being expected and hoped for should not be damaging to oneself, others or the ambience in the short or the long run. An example would be say of a burglar - his expectation and hope to rob a house cannot be termed as positivity.
Risk to life and environs cannot increase with positivity. It should decrease. If there is an increase of risk owing to actions and emotions, such emotions or actions cannot be termed positive.
Positivity can be said to happen only then when a positive valence happens with low or high arousal.
Positivity that occurs in a person on purpose, at some specified or pre-destined time or a place or ambience is indeed that – ‘positivity on purpose’. It can be considered as an artificial positivity to serve some specific purpose and is not an inherent attribute of an individual. It is more of an exhibition of that which does not really exist.
Such false positivity can be justified only in some cases, where it leads to saving someone's life or health.
Generally, such artificial positivity is visible to others for whom it is meant. Sometimes such positivity is consumed for what it is exhibited, but most of the times it bounces of the audience. Consumption of false positivity is dependent on the consumer. Some knowingly consume it but some could also find it repulsive.

Positivity & Scale

Sudden spikes in positive valence generally do not contribute to positivity. This is visible in people who have sudden spurts of positive emotion with an equally sudden drop in them. Such unstable traits are often not perceived as positivity owing to their whimsical nature. They are rather termed mood swings.

Properties of Positivity

Positivity manifests itself not only in a stable single emotion but permits a smooth switch over from one to other until and unless it inhabits the two right quadrants of the Valence-Arousal axis of Russell Circumplex Model.

Positivity & Ownership

Positivity is generally contagious - it is easily transferable to others and the environs.

Positivity & Geoambience

Positivity of a person that is sustained under all circumstances including those that are stressful or adverse to one, is highly valued and infrequent in humans.
The next level of positivity is that which procures an emotional connect of a person with his surroundings.
Positive people are generally recognized positive by all/most people. There are no frequent contradictory views about a positive person's positivity.

Thursday, 13 June 2019

Work and Happiness

Why should one work to be happy later or be happy in the process of working?

Neither. 


Work can be boring, interesting, exciting, enduring, satisfying, focusing etc. But it does not produce happiness. Happiness is a response to an event, through release of dopamine and serotonin and not a prolonged state of body or mind, as is philosophically stated. Most since Aristotle, then Nietzsche and many more went at length to define happiness as life satisfaction or other such prolonged positive emotional states, because scientific understanding of the phenomena was absent. Some event in the process of working - a success, a funny recall etc. could make one happy, but not the work itself.


If happiness (or joy, a state of positive elation) is a momentary mental response to a circumstance, it is useless planning. One can therefore, work to be rich or self-sufficient or an expert, but not to be happy. Training for happiness still could be an option (one might train his brain to release dopamine at will or on consumption of medication), but not planning. Planning or working hard for happiness is man's greatest folly!


Those naturally attuned to happiness, seek high density experiences (larger no. of varied experiences per unit time). The probability of positive experiences (commonly positive, or aesthetically positive, or positive for most) in specific type of ambience is pre-defined. Therefore, to raise the absolute number of happy moments, happiness seeking people compact large (higher) number of experiences within a unit of time, than those who are not happiness seekers. Yes! That all people are happiness seekers is a wrong assumption all together. People seek tickling of those parts of brains that excite them and these are not essentially the happiness ones. There is a huge number of people, who are happy being unhappy! 


Back to happiness seekers - High density of experiences (large no. of experiences per unit time duration) requires very quick switch over from one experience to another. Therefore, such people are often felt to be inordinate, moody, fast-flipping, whimsical, emotionally intense and often - happy for small things that might not provide any happiness to others with similar experience. Such 'bubbly' female characters are often showcased in movies.


Indeed, greatest works of mankind  (done by geniuses) are painful at the least and tragic or even fatal at the most. Think of Van Gogh, Espinoza, Sachin Tendulkar etc. they paid themselves for their works in pain, loss & sometimes in tragedy. Such works of geniuses are modes of self-expression. They are as natural as bearing a child - which irrespective of the pain in the process, happens nonetheless.

Monday, 10 June 2019

Punjabi Poem - ਪਾਣੀ ਤੇ ਪੱਖਰ (Paani te Pathar - A Poetic dialogue between Rock and the Stream)

A poem in my mother tongue Punjabi about the dialogue of a rock and flowing water.

ਪਾਣੀ ਤੇ ਪੱਖਰ

ਪਾਣੀ:
ਮੈਂ ਸਪਨੀ ਵਲ-ਸਵਲੀ ਹਾਂ,
ਤੇ ਬਰਫਾਂ ਵਿੱਚ ਪੱਲੀ ਹਾਂ |
ਮੈਂ ਗੁੰਜਾਲਾਂ ਵੰਗ ਪਹੇਲੀ ਹਾਂ,
ਝਾਗਾਂ ਦੀ ਛੈਲ ਝਬੇਲੀ ਹਾਂ |

ਸਬ ਲੇਟੇ ਹੈਂ, ਏਹੋ ਖੜਾ ਹੈ
ਬਾਲਾ ਵਡਾ ਹੈ, ਤੇ ਛੜਾ ਹੈ |

ਵਡੇ ਸੀਨੇ ਦਾ ਅਭਿਮਾਨ ਹੈ,
ਬੜੀ ਸਖਤ ਤੇ ਕੈੜੀ ਜਾਨ ਹੈ |

ਪਥੱਰ:
ਮੈਂ ਰੋਕੂਂਗਾ ਇਸ ਮਤਵਾਲੀ ਨੂਂ,
ਇਸ ਵੱਡੀ ਨੂੰ, ਏਹਦੀ ਕਾੱਲੀ ਨੂੰ |

ਕੱਦ ਮੇਰਾ ਵਡਾ ਢੇਰਾ ਹੈ,
ਤੇ ਚੌੜਾ ਮੇਰਾ ਘੇਰਾ ਹੈ |

ਤੂਂ ਪੀਛੋੋਂ ਭੱਜ ਕੇ ਅਾਈ ਹੈਂ,
ਬੜੀ ਲੇਹਰੀ ਤੇ ਢੁਂਗਿਆਈ ਹੈ |

ਤੂੰ ਰੌਲਾ ਏਡਾ ਪਾਇਆ ਹੈ,
ਤੇ ਛੱਗ ਦਾ ਦੂੱਧ ਬਣਾਇਆ ਹੈ |

ਚਲ ਆਜਾ ਫੇਰ, ਘੁੰਗਰਾਈਂ ਨਾਂਂ,
ਬਹਲਾਈੇ ਨਾਂ, ਫੁਸਲਾਈਂ ਨਾਂ |

ਦਮ ਮੇਰਾ ਦੇਖ ਕੇ ਖਂਗੀਂ ਨਾਂ,
ਮੈਂ ਮਾੜਾ ਹੈਂ, ਜੇ ਤੂੰ ਚੰਗੀ ਨਾਂ |

ਤੂੰ ਬੋਂਦਨੀ ਹੋਇ ਫ਼ੁਲਝੜੀ ਹੈਂ,
ਘਬਰਾਕੇ ਈਹਨਾ ਠਰੀਂ ਹੈਂ |

ਤੂੰ ਝਇ ਲੈ ਕੇ ਆਜਾ ਫੇਰ,
ਜੇ ਇਕ ਤੂੰ ਹੈ, ਮੈਂ ਸਵਾ ਸੇਰ |

ਤੂੰ ਖੇਡਾਂ ਕਰ, ਤੇ ਕੁਦਾਲੀਅਾਂ ਮਾਰ,
ਊਚਾ ਮੈਂ ਤੇਖੋਂਂ, ਮੇਰਾ ਬੜਾ ਭਾਰ |

ਤੂੰ ਮੈਨੂਂ ਕੀ ਡਰਾਵੇਂਗੀ,
ਜਿੰਜ ਅਾਈ ਹੈਨ, ਊੰਜ ਜਵੈਂਗੀ |

ਬੇਰੂਪੀ ਤੂੰ, ਬੇਰਂਗੀ ਤੂੰ
ਬੇਹੈਸੀਯਤੀ ਵੀ, ਕਿਵੇਂ ਚਂਗੀ ਤੂੰ?
ਸਦਿਓਂ ਅਡਿਗ, ਭਾਵੇਂ ਕਲਾ ਹਾਂ
ਹੈਸੀਯਤ ਹੈ, ਨਾਂ ਨਾਠਦਾ ਝੱਲਾ ਹਾਂ |

ਪਾਣੀ:
ਅਭਿਮਨ ਨਾ ਕਰ ਪਹਾੜਾਂ-ਜਾਯਾ ਤੂੰ,
ਮੇਰੀ ਬੂੰਦਾਂ ਨੇ ਪਿਗਲਾਇਆ ਤੂੰ |

ਤੂੰ ਹਠੀ, ਖੜਾ, ਅਗਿਆਨੀ ਹੈਂ,
ਮੈਂ ਘੂਮਦੀ ਫਿਰਦੀ ਸਿਆਨੀ ਹੈਂ

ਮੇਰਾ ਰਸਤਾ ਰੋਕ ਕੇ ਖੜਿਆ ਹੈਂ,
ਤੂੰ ਠਿਕਰਿਆਂ ਊਤੇ ਚੜਿਆ ਹੈਂ |
ਅਹਿਨਾ ਨੂੰ ਮਿੱਟੀ ਕਰਾਂਗੀ,
ਤੂੰ ਢੂਬੇਂਗਾ, ਮੈਂ ਚੜਾਂਗੀ |
ਫੇਰ ਇਕ ਦਿਨ ਏਸਾ ਆਏਗਾ,
ਪਹਿਲਾਂ ਕਾਇਆਂ, ਫੇਰ ਤੂੰ ਜਏਂਗਾ |
ਤੇਰੇ ਥਲੋਂ ਮਿਟੀ ਖਿਚੂਂਗੀ,
ਢੁਬਦੇ ਦਾ ਮੂਹ ਮੈਂ ਮੀਚੂਂਗੀ |

ਤੇਰੇ ਖੜੇ-ਪਹਾੜਾ ਨੂਂ ਸਿਖਾਇਆ ਹੈ,
ਓੁਹਨਾ ਸਦੀਓੰ ਏਹੋ ਵੇਖਿਆ ਹੈ,
ਕੁਦਰਤ ਨੇ ਏਹੋ ਲਿਖਿਆ ਹੈ,
ਤੂੰ ਛੋਟਾ, ਢੁਬਿਆ, ਤੇ ਲਿਟਿਆ ਰੈ |

ਪੱਥਰ:
ਚੱਲ ਮਨਿਆ ਜੜਾਂ ਤੂੰ ਸੀਂਚੇਂਗੀ,
ਮਰੇ ਥਲੌਂ ਮਿੱਟੀ ਖੀਚੇਂਂਗੀ |
ਕੁਝ ਸਾਲਾਂ ਮੈਂ ਵੀ ਝੂਜਾਂਗਾਂ,
ਤੇਰੀ ਚਾਲਾਂ ਨੂੰ ਮੈਂ ਬੁਜਾਂਗਾਂ,
ਪਰ ਇਕ ਦਿਨ ਇਹਸਾ ਆਏਗਾ,
ਮੈਂਨੂ ਘੇਰ ਕੇ, ਦਾਬ, ਢੁਬਾਏਂਗਾ |

ਚਲੱ ਮਣਿਆ ਬੜਿਆਂ ਤੂੰ ਰੋੜਿਆ ਹੈ,
ਬੜੇ ਡੋਬੇ, ਬੜੇ ਭੋਰਿਆ ਹੈ|
ਪਰ ਅਸੀਂ ਗੁਰੂਰ ਤੇਰਾ ਤੋੜਿਆ ਹੈ,
ਤੇਰਿਆਂ ਲੇਹਿਰਾਂ ਨੂੰ ਇੰਜ ਮਰੋੜਿਆ ਹੈ,
ਤੂੰ ਸਾਨੂਂ ਸਦੀਓਂਂ ਤੋ ਘੇਰਿਆ ਹੈ,
ਪਰ ਅਸੀਂ ਤਰੇ ਮੋਹ ਨੋ ਮੋਹੜਿਆ ਹੈ,
ਪਰ ਅਸੀਂ ਤਰੇ ਮੋਹ ਨੋ ਮੋਹੜਿਆ ਹੈ|

Tuesday, 28 May 2019

Information, Control and AI



 There are two issues to be dealt with:
1st is Information source, sink & transmission.
2nd is 'Control'.

Vis-a-vis Information source, sink & transmission:
A question that one should be asking oneself is: What's easier - controlling information broadcast from one source (used to be State-owned) or that which is generated by millions?
In fact there is a democratization & dispersion in information generation that many ‘skeptics' dislike.
40 years ago, there were only state broadcasters (in India), then private broadcasters appeared. Because of them, information generation, its quality & dispersion improved with more viewpoints expressed, which were many a times opposing to those of State. Imagine the challenges that the state must have faced since then, vis-à-vis those years when State was the only broadcaster.

Situation now
After Twitter, FB etc.: Now information sources are no more monopolized, every human is a source of information. Information market has become a buyer's market from a supplier's. This means that the situation of past with few information suppliers vis-a-vis innumerable consumers, is reversed. Today, for every event there are various points of view available for each individual’s consumption. Therefore, there is lesser possibility of influence. Because there always are supporters for every type of conceivable view available online.

Counter-intuitive conclusion: Yes! The possibility of influence is constantly decreasing not increasing!!!

In earlier times, if one held a view and the official line opposed it, all evidences pointing to contrary disappeared (in fact 'A shining City on a hill’ by Come Carpentier talks about this in depth). Truth was that, which was published and invariably accepted. So most people had no option but to change their view assuming that they are wrong (this change of view indeed is real influence). Today every event has all possible aspects expressed. Therefore, there are supporters for every conceivable view and hence, lesser need to change one's view resulting into meager need of influence. A good example are 2019 Indian General Elections in which it is evident that media influence is on a declining curve. There is a channel for each type of view. Therefore, viewers tend to watch the ones confirming their biases rather than challenging them. 

Results:

1) Complete lack of coordination... and we are seeing this. Free availability & close to universal access of various viewpoints, arguments and evidences to each of these views & corresponding supporter base for such opinions, create, what I term a digital anarchy. Statistical results emerging from such digital anarchies are actually least influenced. But they largely carry forward the pre-determined biases of the subscribers.

2) Information recognition goes microscopic. In social sciences, like in pure sciences – we are going smaller & smaller in our capability to recognize, measure, count and consequently manipulate from macro to nano (like the chip line-resolution). Every view has started to count, because it is now visible! Microscopic information analysis brings in lot of ‘unconscious-information’. A lot of our actions are ‘unconscious‘ (sub conscious or semiconscious). We might not do them (or do more intensely) would we be asked to think about them before doing. This is the social dark matter, which is under-reported and unchecked. Especially in less diverse & isolated societies. Microscopic information collection enables discovery of this social dark matter. And this dark matter is often counter-intuitive and unsettling.

3) The social dark matter is creating newer and newer individual identification paradigms beyond the ones we knew – finger prints, voice, face recognition etc. It means, latest technologies will enable identifying (finding) people using completely new counter-intuitive individual attributes, not known to the service subscribers. Otherwise said, ‘nth degree sorting or profiling’ to the extent of identifying every individual.

4) In my book ‘Transformers’, I provided a generic (can’t resist mathematical approach!) definition for Power. It being equal to the number of people that one’s decision influences, times the number of years that the change is sustained (also termed as 'period of influence', because once the change become’s a normative, it looses its position as a subject of influence). Applying mind, one realizes that the Power of State and other Powerful Agents is actually waning, while the power of unknown, initially powerless individuals, is increasing. In fact, Mark Zuckerburg is an excellent example of latter. He was nobody a few years ago, but is today the greatest influencer, surely surpassing Chengez Khan, the other great!

Information Transmission is also completely out of control of state & is indeed not even in control of Facebook, because the end device is fed by mobile and communication companies. Facebook indeed is not even a content creator, as they only provide access for exchange of content. Secondly, they have many competitors. So there is no fear of ownership or monopoly of channels or transmission.

Uncordinated Truth
Millions of mouths are giving millions of views and hence, we are not getting one directed and coordinated 'truth'. This is unpalatable to the traditional ruling elite and most humans, whose comfort zone at best extended to a maximum of two views – ‘for’ the motion and ‘against’ the motion.

Infodynamics
Instantaneously computed & rapidly, ever-changing statistics of views is also very counter-intuitive and unsettling and beyond the human comfort zone, currently.

Change Misnomer - Information Age and inevitability of automation and AI
"We live in information age". Sure you heard this oft quoted title given to our epoch starting with 90s, when world wide web was cast. My argument - we always lived in information age, even thousands of years ago survival depended on information delivery and decision making. Examples - availability of water predictions in a river for a village on riverside. Or advancing armies etc. 
So what has changed now, if we always lived in information age? 
It is apparently the type of information and more critically the velocity of information.
Change in type is apparent with change in subject matters of human interest. But its the 'velocity' that's more interesting and crucial.  Kindly note that I used the word velocity not speed, because Information to my discovery, is a (social) vector quantity. It has a direction. Even if scientific papers on quantum statistics and theory of fields was to be broadcasted, only those who understand or appreciate will receive it. Because epistemological infornation converts into knowledge only as dependencies of new information are created with an existing core of knowledge (thoroughly described in my book Transformers). Else, the info is useless for the recipient. Indeed, I am using vector only for lack of a better mathematical concept because ideal way would have been to express information as a directed cone(s) (or even other 2D shapes) radiating from the point of information source - as the direction of information is not single but could cover multiple disjoined ranges. The capability of mankind to vary the head (range) of radiating information is an immensely recent acquisition. Example-  a political party broadcasting its views on development to a large vector cone while delivering a racially toned message to a sliver thin vector of specific electorate without disturbing the large electorate which is concerned only about development. Implications of tgis capability are still to be assessed. 

Velocity of information is a critical change that is happening. Higher velocity of information (more bytes per second) along with handling of different directions/vectors of different or same information concurrently is forcing social agents (people organizations, Governments etc.) to enhance the rate of decision-making. This is the bedrock of automation and requirement of sensors and autodecision making paradigms like AI.
Hence, automation, AI, use of sensors for collection of unbiased information and algorithmic making of decisions (incl social) about various aspects of life of people, their interaction amongst themselves and with State is inevitable.

Information Sink
With a stark increase in the number of literate people in the world, the sink size has increased substantially. Therefore, there are more and more people consuming information for decision-making. It is important to mention that every sink is now a source as well. Thereby, creating a network effect on information processing!

Control
‘Control’ means differently in pure and social sciences – leading to an oft-occurring conflict in understanding and expression. In pure sciences, control means - controlling the inputs, while outputs are left to complicated dependencies. In social sciences ‘control’ means ensuring directed human action or inaction. Digital action is increasing exponentially, but at the cost of physical action. With shifting of action to cyberspace there will be lesser reasons to bomb or kill, which is way better than killing for fear and control. Hence, vis-à-vis current or past situation, digital control when exercised will be bloodless and less destructive, than physical one. It is not an ideal platonic situation, but it is much better than how it used to be. Increased literacy & online dispersion of innumerable viewpoints will only reduce the controllability.

Control me
One other major differences between ‘control’ in pure science and social sciences is that in pure sciences the outcome or subject never asks to be controlled. In social sphere control is not always thrust. Many a times it is desired by the subject. Mankind created State to transfer control from the King/dynasty to its elected representatives. Yet through the State the population desires for exercise of control.

Control is needed for coordination. Complete lack of control will mean lack of coordination. As a matter of fact, a very large proportion of people desire and ask for control as that is their zone of least resistance and comfort. All non-spontaneous rights and wrongs are mere human constructs (vis-a-vis clearly identifiable spontaneous one’s) therefore, all such non-spontaneous actions need coordination (through control). This ensures that those, who do not agree with a proposed action, thereby terming it wrong, still work towards the coordinated (and termed ‘right’ by the majority or those in power) end by remainder.

Central Control & Authority
This is the biggest challenge we face, with lots of life-actions shifting to digital realm, it is easier to wallop large swaths of population, but only through disruption, because anything other than ‘switching-off’ will have numerous opposing public opinions expressed immediately, thereby establishing an equilibrium through variety of views. All subscription based enterprises survive till people want them to – remember Orkut and millions of others, who die, without a shriek. Therefore, if disruption (‘switching off’) is avoided and safeguarded through an international body like UN and ratified by all participating Governments, almost everything will stand resolved. There should be a clear understanding that any Company with more than 1 billion subscribers cumulatively everywhere/anywhere in the world will be considered as a Global Utility, such that any disruption by such utility of its services to any major group of people or nation(s), will initiate a process of operational takeover for restoration of services to the said group/nation(s). There could be other additional proscriptions.

Technological progress has brought in peer-controlled mechanisms versus central control and authority
Blockchain is an excellent example of peer-conciliation mechanism, vis-à-vis central authority. Unfortunately, not many people know about all that is happening in technology, in minutiae.

Artificial Intelligence
Almost all hunters were unemployed, as mankind shifted to cultivation. Today, we have completely forgotten hunting skills, yet we are successfully surviving. A few thousand years ago, it would have been unthinkable. Artificial intelligence will affect existing jobs, but mankind will devise completely new kinds of jobs.

Socialism and welfare state has completely skewed our understanding of ‘Jobs’. Instead of considering ‘job’ to be an activity that generates value, which can be exchanged and is in demand, we comprehend it more like a dole or an obligation of the State, depending on what type of state one lives in. So, while technology always impacts jobs, the doomsday being foretold by self professed 'experts' can be junked.

What if procreation is a job
Here is the other counter-intuitive idea – what if procreation is also a job that is executed for specific needs. Let’s now assume that AI & Robots start replacing humans, would this not lead to lesser birth rates, thereby shrinking the overzealous population growth and easing the environmental crisis that mankind is confronting.

The doer and the orderer locations
Technology will further separate job executor's location from the job’s beneficiary’s location. Today, only Research and IT jobs are executed remotely. In future, I foresee a Manhattan hair cutting saloon being run by skilled Indian barbers sitting in Noida or Gurgaon, while the Robot on the other side, clones actions of the Indian barber, who performs the cutting on a virtual holographic image of the walk-in customer's hairy skull. So the robot does not think on its own, but just clones actions. ‘Jobs’ will change and so shall the society and the social contracts. The process will go through multiple metastates and will surely generate newer types of jobs.

Artificial Intelligence is the medium and/or the catalyst in progress, not an end in itself. 
It aids discovery by establishing the unknown dependencies/relations, which are otherwise difficult to establish. It does not think on its own, because it works on the ‘principle of optimal outputs'. Human existence is a suboptimal activity. Artificial Intelligence, foundationally, is unlike human thinking, though the word ‘intelligence’ makes one believe in contrary. As an example, kindly think - Are our societies run on principle of intelligence and optimization? One has to be living in a La La Land to assume that. Often people are governed & guided by suboptimal, if not unintelligent leaders. Nothing of what humans do, is geared for optimization. Optimization requires elimination of bias, while human beings are all about biases. There is no such algorithm, as of now that has a bias to choice of sub-optimal solutions. Following is an example – in a set of numbers {2, 2, 3, 4, 5, 22, 5, 4, 2}, it is easy to identify the highest or the smallest number. But if one is asked to choose one such number that is not the highest or the lowest in the set, there is no solution to the query in absence of ‘bias’. But now let’s introduce a bias – say, the said number should be even. Then one can quickly identify it as ‘4’. But without ‘bias’ the solution is indeterminant.
Way back, starting 1962, Thomas Kuhn showcased how development happens in paradigms. I created an interesting way to understand paradigm shifts. Imagine scientific progress to be represented by the height traversed oonthe said tree. Lets further imagine travelling on the trunk of this scientific progress tree with a vision range of just 1mm (we assume, nothing is visible far ahead). Imagine getting to a division, that is, to a ‘new’ branch which seems inclined towards the sky for next 1mm. Now imagine one digresses to this branch, not knowing the destination (owing to 1mm vision). Such branching out keeps on happening at various levels subject to the height always increasing, till one reaches the tip of a leaf, beyond which, there is nowhere to go. It is then, that one travels backs to the most recent ‘other option’ branch to then go to that ‘next’ branch & travel till the end of another leaf, hopefully at a higher level than the prior leaf. Each such act of going back & shifting to another branch to then rise further is termed ‘paradigm shift’. Humans, therefore are in the business of discovering ‘new’, not essentially ‘best’ or optimal solutions. And all the discoveries for non-spontaneous actions, processes & ideas can be attributed to biases.

So artificial human thinking (not to be confused with artificial intelligence), is not happening in near future. At least not until quantum computing fully matures to traverse an entire tree – to each of the leaf’s tip in a short period of time. There are higher chances of human thinking being replaced by artificial machine thinking thereafter. But it is not happening in the next two decades.

So don’t worry. Artificial intelligence is not dreadful!
It is too intelligent and optimal to win a battle with us.

Tuesday, 21 May 2019

Hindi poem - एक विचार ही तो हैं हम सब

होने से पहले और होने के बाद,
एक विचार ही तो हैं हम सब |

विचारों और सपनों की दुनिया है अच्छी,
जहां मैं भी हूँ तुम्हारे ही जैसा,
तुम्हे छूता हूँ, हूँ गले भी लगाता,
वो आमोद है जो ना खुली आँख आता|

खुली आँख से तो, जो आमों को देखूँ,
वहीं तुम बसे हो, कहीं बस छुप्पे हो,
खाते हुए आमों को लगता है मुझे ऐसे,
मुह है ये मेरा, पर  जुबां है तेरी,
मेरी भूख है, पर है संतुष्टी तेरी,
क्योंकी संतुष्टी भी रहती है वहीं पे,
जहां माला करते हो तुम विचार बन के।
तुम हो एक विचार और हम भी बनेगें,
वहीं पे रहेंगे जहां तुम हो रहते,
बस तुम हो मेरे में, हम होंगे किसी में,
एक विचार बनके वहीं पे रहेंगे,
क्योंकी
होने से पहले और होने के बाद,
एक विचार ही तो हैं हम सब |

Tuesday, 5 March 2019

Punjabi Poem - Parantan (परांतां - साडे जीवन दी कहानी)

परांतां - साडे जीवन दी कहानी

तों परांतां,
तक परांतां।

जम परांतां,
दस परांतां,          (मुनियादि)
वडं परांतां,          (मिठाई बांटना)
झाडं परांतां।

झूठ परातां
सच परातां

दूध परांतां
दही परांतां

पयार परांतां
दुलार परांतां

भूख परांतां
धृास परांतां

यज्ञ परांतां,
आग परांतां,
घी परांतां
घा परांतां             (सामगृि)

मिठा परांतां,
सिठां परातां,
पूज परांतां,
पब परांतां।
खेड परांतां    (वयाह वेले खेडेया गाना)
छेड परांतां
जित परांतां
हार परांतां

जप परांतां
तप परांतां
गुन परातां
पुन परातां

विच परांतां
पार परांतां

जग परांतां
बुझ परांतां

तों परांतां
तक परांतां




Deepak Loomba