Temas de relações internacionais, de política externa e de diplomacia brasileira, com ênfase em políticas econômicas, em viagens, livros e cultura em geral. Um quilombo de resistência intelectual em defesa da racionalidade, da inteligência e das liberdades democráticas.
O que é este blog?
Este blog trata basicamente de ideias, se possível inteligentes, para pessoas inteligentes. Ele também se ocupa de ideias aplicadas à política, em especial à política econômica. Ele constitui uma tentativa de manter um pensamento crítico e independente sobre livros, sobre questões culturais em geral, focando numa discussão bem informada sobre temas de relações internacionais e de política externa do Brasil. Para meus livros e ensaios ver o website: www.pralmeida.org. Para a maior parte de meus textos, ver minha página na plataforma Academia.edu, link: https://itamaraty.academia.edu/PauloRobertodeAlmeida.
quinta-feira, 12 de fevereiro de 2015
Moore's Law: existe uma para a diplomacia? Talvez, mas vai demorar para ser aplicada...
A Lei de Moore é aquele que prevê a duplicação da capacidade de processamento em seis meses ou menos, ou seja, existe um aumento exponencial da capacidade de "digerir" grandes números, zilhões de operações a um custo cada vez menor.
É sobre esse princípio que foi criada a Google, e antes dela os computadores da Apple.
O artigo abaixo discorre sobre isso.
Ah, sim, e quanto à diplomacia?
Bem, acho que as novas tecnologias aplicados ao trabalho diplomático melhorariam tremendamente sua capacidade de processar informações, embora a capacidade dos homens tomarem decisões sejam muito rudimentar, e prejudicada por todos os preconceitos políticos e as crenças individuais dos decisores.
Acho que a nossa diplomacia está mais para MS--DOS do que para Mac iOS, ou para Google, com perdão da ofensa ao inventor do primeiro sistema operacional dos computadores pessoais.
Enfim, essa é a vida.
Paulo Roberto de Almeida
How Moore’s Law Made Google Possible
Backchannel, February 12, 2015
Gordon
Moore’s famous calculation of the gains in power and economy that would
drive chip production continues to have profound implications for every
enterprise, no matter what the sector. But most of us have difficulty
grasping the full impact of what Moore has laid out. Our handicap is
that we are laboring under the illusion that the impossible is
impossible.
But
those who truly understand Moore’s Law know its corollary: the
impossible is the inevitable. Right after Moore’s prescient
prognostication, anyone with a slide rule — or a Texas Instruments
calculator — could have easily run some numbers and determined that
within a generation there would be computational gains a billionfold or
more. The much more difficult task would be to believe this, let alone
figuring out what it meant for rates of innovation, for businesses, and
even for the human race.
The
nonlinear gains that Moore predicted are so mind-bending that it is no
wonder that very few were able to bend their minds around it.
But those who did would own the future.
Case
in point is Larry Page. From birth in 1973, Larry Page was incubated in
the growth light of Moore’s Law. His father and mother were computer
scientists. He grew up on Michigan college campuses, never far from a
computer center. He took for granted the dizzying gains in computation
that would come. So he did not think twice about proposing schemes that
exploited the effects of Moore’s Law, especially the big idea he had as a
Stanford graduate student of dramatically improving search by taking
advantage of the links of the World Wide Web.
When
his thesis professor noted that such a task meant capturing the whole
web on Stanford’s local servers, Page was unfazed. With a firm grip of
how much more powerful and cheap tomorrow’s technology would be, he
realized such a feat would eventually be relatively trivial; so would
making the complicated mathematical analysis of those links, which would
have to be done in well under a second. These would be written by
Page’s partner, Sergey Brin, who shared Page’s comfort with the
nonlinear effects of Moore’s Law. Both knew for the first time in
history, the massive computation required to analyze all those links was
within the grasp of grad students. Thus, by recognizing the “new
possible,” Page and Brin were about to do what once was
impossible — instantly combing through all of human knowledge to answer
even the most obscure question.
In interviews, including those I conducted with him while writing In the Plex, my biography of Google, Page has outlined what might be known as his own variation on Moore:
Huge acceleration in computer power and memory
+ rapid drop in cost of same
= no excuse for pursuing wildly ambitious goals
Companies
that develop products for the world in its present state are doomed for
failure, he says. Successful products are created to take advantage of
tools and infrastructure of the future. When Google whiteboards new
products, it assumes they will be powered by technologies that don’t
exist yet, or do currently exist and are prohibitively expensive. It is a
safe bet that in a very short period of time, new technologies will exist
and the cost of memory, computation and transit will fall dramatically.
In fact, Moore’s Law (and similar phenomena in storage and fiber
optics) means that you could bet the house on it. “The easiest thing is
to do some incremental improvements,” says Page. “But that’s guaranteed
to be obsolete over time, especially when it comes to technology.”
A
clear example of this came in 2004 when Google announced Gmail, its
web-based email product. It was not the first entry in the category. But
the competitors offered very limited storage — the most popular product
at the time, Microsoft’s Hotmail, gave users 2 megabytes of free
storage. Users constantly had to pare down their inboxes. Gmail gave
users a gigabyte of
storage — five hundred times the industry standard. (It soon doubled the
amount to 2 gigs.) At the time, it was so unusual that when Gmail was
announced on April 1 of that year, many people regarded it as a prank — how can you give away a gigabyte of data? Indeed,
in 2004, the outlay of such RAM storage to millions of users drained
Google’s resources. Yes, it was costly. But only temporarily. As Page
says, “That’s worked out pretty well for us.”
When Page takes meetings with Google’s employees, he relentlessly badgers them for not proposing more ambitious ideas.
Much worse than failure is failing to think big.
Earlier,
Steve Jobs of Apple had a similar conundrum when releasing the
Macintosh. The problem was that in 1984, technology was not ready for
the computer his team had designed. To provide a satisfactory user
experience, the Macintosh required at least a megabyte of internal
memory, a hard disk drive, and a processor several times speedier than
the Motorola 68000 chip that drove the original. Jobs knew that Moore’s
Law would provide help soon, and wanted to sell the Macintosh initially
priced at a money-losing $2000 to grab market share. But his bosses at
Apple did not understand that setting a low price would only mean losses
temporarily — the company would soon be paying less for much more
powerful chips. Indeed, in a few years the Macintosh had all the power
and storage it needed — but had lost the market momentum to Microsoft.
Ray
Kurzweil, the great inventor and artificial intelligence pioneer now at
Google, has a theory about those who are best suited to create
groundbreaking products.
The
common wisdom, he says, is that one cannot predict the future. Kurzweil
insists that, because of Moore’s Law and other yardsticks of
improvement, you can predict the future.
Maybe
not enough to tell if a specific idea will succeed but certainly well
enough to understand what resources might be available in a few years.
“The world will be a very different place by the time you finish a
project,” he told me in an interview a couple of years back.
The
problem, explains Kurzweil, is that so few people have internalized
that reality. Our brains haven’t yet evolved in synch with the reality
that Moore identified. “Hard-wired in our brain are linear expectations,
because that worked very well a thousand years ago, tracking an animal
in the wild,” he says. “Some people, though, can readily accept this
exponential perspective when you show them the evidence.” The other
element, he adds, is the courage required to act on that evidence.
Accepting Moore’s Law means understanding that what was once impossible
is now within our grasp — and leads to ideas that may seem on first
blush outlandish. So courage is required to resist that ridicule that
often comes from proposing such schemes.
For
the past few years, critics both in and out of Silicon Valley have been
griping about what I call the “Jetson Gap.” The critique is embodied in
venture capitalist Peter Thiel’s charge, “We were promised flying cars
and instead what we got was 140 characters.” But flying cars are rather
tame compared to the fantastic inventions we now use every day: a search
engine that answers our most challenging questions in less than a
second; a network of a billion people sharing personal news and pointers
to news and gossip; and a palmtop computer that among other things can
beam live video to the world and have a conversation with you.
Those
who understood Moore’s Law had the fortitude to make those advances.
And more people are catching on. A generation raised on Google thinking
is now working on new inventions, new systems, new business plans.
Businesses in virtually every sector are being challenged — and in some
cases shut down — by young entrepreneurs applying Moore’s Law. (Call it
the Uberization of everything.) It’s quite probable that on someone’s
drawing board right now is a project that will change our lives and earn
billions — but is a funding challenge because the pitch sounds, well,
crazy.
But as Page told me in 2102: “If you’re not doing some things that are crazy, you’re doing the wrong thing,”
Moore’s Law guarantees it.
This
article originally appeared in the Winter 2015 edition of Core, a
Computer History Museum publication. The issue is a special edition
commemorating the 50th anniversary of Moore’s Law.
Notebook photo copyright Douglas Fairbairn Photography, courtesy of Computer History Museum. Moore photo courtesy of Intel.
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