The Back Cover pretty much captures most of what there is in the book.
Here is an earlier draft of the book's back cover.
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This is a book of poetry. But there is something quite special
about it. The poems in the book were written in under a day by the author Anand
Manikutty.
This was really just supposed to be a book of poetry. But
something interesting happened along the way. Anand, a member of Top Society
and Oath Society, both very selective High IQ societies, sent out some emails
on the Coronavirus to a mailing list set up by these groups. Encouraged by the
responses he received there, he decided to expand the poetry book he was
writing to include material discussing the Coronavirus pandemic as well.
As was said before, there is one thing very special about the
book of poetry he was writing. It is that the poems in the book were written in
less than a day. In fact, the entire corpus of poems was written in under seven
hours. This was done with the help of an A.I. created by the author.
What is significant about the A.I. is that it can write in the
style of any living author – assuming you provide the A.I. a corpus of work
pertaining to that author. To find out how these poems were created by such an
A.I. that was created for quite a different purpose, dear Reader, you will have
to read the book itself.
In this book, Anand has also included material based on his
online discussions with economists and strategic management experts regarding
the Coronavirus pandemic. He has even included portions of emails he shared
with members of TOPSociety and OathSociety. This is so that you, Dear Reader,
can also get a sense of how economists and evidence-oriented individuals think
about and approach large-scale problems such as the Coronavirus epidemic.
There really are better models out there. One just needs to
think about things in a model-based and evidence-based way. Anand also
predicted that the War in Iraq would not go well. If his predictions in this
book are correct, that is another trillion-dollar mistake that could have been
avoided using his models.
IN THIS BOOK, FIND OUT
·How Anand's A.I. wrote a book of poetry - from start to finish –
in less than a day.
·How and why Trump is getting the response to the Coronavirus
wrong, and which social scientific models could have been used to get the White
House’s decisions right in the first place.
·Which poem in this collection Harvard's Prof. Michael Witzel
liked the best.
·About a new theory, the Theory of Reproducibility in the field
of Art.Like the Theory of Disruptive
Innovation in the field of Innovation, this theory in the World of Art explains
a number of phenomena we see there. For instance, it explains why Indian
Classical Dance and Japanese Traditional Theater have not found wide popularity
in the West. Also, why there are so many web developers in the world. And why
Britney Spears is so successful. Besides many other things.
BIOGRAPHY
Anand Manikutty got his
undergraduate degree in Computer Science from the Indian Institute of
Technology, where he was awarded the Governor’s Medal. Mr. Manikutty is a
computer scientist, technology entrepreneur and inventor holding over 15
patents in computer science and technology and over 10 publications in these
fields. He is an alumnus of the University of Wisconsin, Harvard Business
School and Stanford University. In addition to computer science, he has also
contributed to work in the fields of strategic management, organization
behavior and philosophy. He even has a paper on that age-old question whose
answer we thought we knew: “Which Came First – The Chicken or the Egg?”. When
not working, he likes to go on various random adventures. These have included
such activities as swimming with sharks, and white-water rafting in crazy rivers.His parents think
that if he makes it to fifty, it will be due to sheer luck and nothing else.
One thing: I have simplified the exposition of the Theory of Reproducibility introduced in this book.
There is a very accurate model for this, but unfortunately, it is in three dimensions. I didn't want to have a three dimensional model in the book because I was advised to avoid having too much by way of complex mathematics. So, I tried to introduce the idea using a two dimensional model.
The exact model is as follows: consider a two dimensional graph on which you plot each work of art pertaining to each artist of interest. On the X Axis is a measure of the virtuosity of the artist (thus, to the extreme right are artists with high levels of virtuosity such as Mirza Ghalib or Yo Yo Ma, and on the extreme left would be the really poor singers, such as an erstwhile neighbor of mine who used to sing in the bathroom.) On the Y Axis is a measure of the chances of the work of art appealing to the general population (on the top extreme are works of art with likely high levels of mass appeal such as Britney Spears' albums and on the extreme bottom are works of art with likely very low levels of mass appeal such as Ghalib's poetry). On the Z Axis for each work of art, plot an estimate for the audience number for the same.
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One can easily see that the smart move for artists who possess high levels of virtuosity is to move down the Y Axis.
When they do that, they can capture an extremely large market running into the millions, and they could become very rich indeed, even if, say, they only charged a dollar a song.
Blogger has been fun. But is time to move on to the other things. We are moving on to Twitter. I will post the URL to the Twitter feed in due course of time once I have it set up.
Here is where the previous editions of this blog have been hosted:
In the enchanting world of Bollywood music, certain melodies transport us to a realm of timeless beauty and romance, evoking the joy and splendor of spring. One such captivating gem is the exquisite "Jashn-E-Bahaara" from the epic movie Jodhaa Akbar (2008). Composed by the maestro A.R. Rahman and adorned with the soul-stirring lyrics of Javed Akhtar, this song is a mesmerizing ode to the enchanting beauty of nature and the awakening of love.
Melodic Splendor:
"Jashn-E-Bahaara" is a masterpiece of melodic splendor, with A.R. Rahman's composition weaving a tapestry of emotions that captures the essence of springtime bliss. The ethereal strains of the flute and the gentle rhythm of the tabla evoke the delicate beauty of blossoming flowers and the soft caress of a gentle breeze. The melody dances with a sense of joy and anticipation, inviting listeners to immerse themselves in the magic of the season.
Lyrically Enchanting:
Javed Akhtar's lyrics in "Jashn-E-Bahaara" are a poetic masterpiece, painting a vivid picture of love's awakening amidst the vibrant colors of spring. Each verse is a lyrical marvel, expressing the exhilaration of newfound love and the longing for union with the beloved. The imagery is rich and evocative, transporting listeners to a world of romance and passion that transcends time and space.
Iconic Rendition:
No discussion of "Jashn-E-Bahaara" would be complete without acknowledging the iconic rendition by the legendary playback singer Javed Ali. His soulful voice infuses the song with an unmatched emotional depth, capturing the ecstasy and yearning of love's tender embrace. Ali's emotive performance, coupled with Rahman's exquisite composition, elevates "Jashn-E-Bahaara" to the realm of timeless classics.
Everlasting Appeal:
Decades may pass, but the enchanting beauty of "Jashn-E-Bahaara" continues to captivate audiences, serving as a timeless reminder of the eternal allure of love and nature's boundless splendor. Its timeless melody and evocative lyrics resonate with listeners of all ages, inspiring a sense of wonder and reverence for the beauty that surrounds us. As we listen to this beloved song, let us celebrate the magic of spring and the joy of love's eternal dance.
In the rich tapestry of Bollywood music, there exist songs that transcend the boundaries of time and space, transporting listeners to realms of spiritual enlightenment and divine bliss. One such transcendent masterpiece is the mesmerizing "Khawaja Mere Khawaja" from the epic movie Jodhaa Akbar (2008). Composed by the maestro A.R. Rahman and adorned with the profound lyrics of Javed Akhtar, this song is a sublime invocation of the divine, celebrating the universal principles of love, devotion, and surrender.
Musical Majesty:
"Khawaja Mere Khawaja" is a symphony of spiritual majesty, with A.R. Rahman's composition weaving a tapestry of ethereal beauty and celestial grace. The haunting melody, punctuated by the mesmerizing strains of the Sufi qawwali, transports listeners to the inner sanctum of the soul, where the divine presence is felt in every note. The music envelops us in a state of meditative trance, inviting us to lose ourselves in the timeless rhythm of devotion and prayer.
Lyrically Transcendent:
Javed Akhtar's lyrics in "Khawaja Mere Khawaja" are a poetic tribute to the timeless wisdom of the Sufi saints, capturing the essence of mystical ecstasy and divine communion. Each verse is a prayerful invocation of the beloved Khawaja, whose divine presence permeates every corner of the universe. The words resonate with a sense of awe and reverence, inspiring listeners to surrender themselves completely to the divine will.
Iconic Rendition:
No discussion of "Khawaja Mere Khawaja" would be complete without acknowledging the iconic rendition by the legendary playback singer A.R. Rahman himself. His soul-stirring vocals infuse the song with a sense of transcendental fervor, elevating the listener to heights of spiritual ecstasy. Rahman's emotive performance, coupled with his masterful composition, makes "Khawaja Mere Khawaja" an unforgettable musical experience.
Eternal Reverence:
Decades may pass, but the reverence for "Khawaja Mere Khawaja" remains eternal. Its timeless melody and profound lyrics continue to inspire and uplift listeners, serving as a beacon of spiritual enlightenment in a world often fraught with turmoil and strife. As we immerse ourselves in the divine beauty of this sacred song, let us be reminded of the eternal truth that, in the presence of the divine, all worldly sorrows dissolve into the bliss of divine love.
Alaska's Iditarod Trail Sled Dog Race uses technology so organizers and
fans worldwide can monitor the sport in real time. This year's race has
51 contenders traveling between remote village checkpoints across the
1,000-mile (1,600-km) route, tracked electronically by operators in
Anchorage hotels. Volunteers and race contractors monitor the dog teams
via sleds outfitted with global-positioning system (GPS) trackers, which
let fans follow them online while organizers ensure no one is missing.
Some operators function as aircraft dispatchers for pilots who ferry
supplies, as well as competitors and dogs that drop out; others process
live video streamed from checkpoints, using satellite dishes. Still
others oversee race-standing updates broadcast through equipment first
tested last year, making it possible to activate a super-size hot spot
in the most remote locations with satellite links.
The U.S. National Security Agency (NSA) has chosen to open source the
cybersecurity tool Ghidra, a reverse-engineering platform that takes
"compiled," deployed software and "decompiles" it. Reverse engineering
allows malware analysts and threat intelligence researchers to work
backward from software discovered in the wild to understand how it
works, what its capabilities are, and who wrote it. Said NSA
cybersecurity advisor Rob Joyce, Ghidra was "built for our internal use
at NSA" and "helped us address some things in our work flow." Joyce
noted that the NSA views the release of Ghidra as a recruiting strategy,
allowing new hires to enter the agency at a higher level or contractors
to provide expertise without having to first come up to speed on the
tool. Added Dave Aitel, a former NSA researcher who is now chief
security technology officer at Cyxtera, "Malware authors already know
how to make it annoying to reverse their code. There's really no
downside [to releasing Ghidra]."
Researchers at the Georgia Institute of Technology (Georgia Tech) have
found that state-of-the-art object-detection systems, such as the
sensors and cameras used in self-driving cars, are better at detecting
people with lighter skin tones, meaning they are less likely to identify
black people and to stop before crashing into them. The researchers
examined eight image recognition systems and found the bias in each one,
with accuracy 5% lower on average for people with darker skin. The team
proved the hypothesis by dividing a large pool of pedestrian images
into groups of lighter and darker skin using the Fitzpatrick scale—a
scientific way of classifying skin color. “This behavior suggests that
future errors made by autonomous vehicles may not be evenly distributed
across different demographic groups,” the researchers wrote.