[P2P-F] Fwd: How To Be Successful Without Hurting Men’s Feelings | Uncertain Futures: How Economists Think About…

Tue Nov 13 08:47:52 CET 2018

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From: piqd - your piqs of the day <dailydigest at piqd.com>
Date: Tue, Nov 13, 2018 at 2:30 AM
Subject: How To Be Successful Without Hurting Men’s Feelings | Uncertain
Futures: How Economists Think About…
To: Michel Bauwens <michelsub2004 at gmail.com>

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Thessa Lageman
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How To Be Successful Without Hurting Men’s Feelings
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Will Kherbek
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Uncertain Futures: How Economists Think About Uncertainty
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Roshawn Terrell
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Why Self-Taught Artificial Intelligence Has Trouble With the Real World
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piqer:
Thessa Lageman 5
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How To Be Successful Without Hurting Men’s Feelings
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The presenter speaks to Sarah Cooper, comedian and former Google employee.
She has just published “a handy manual” for women in male-dominated
environments called ‘How to be successful without hurting men’s feelings’.

"You’re a woman at a meeting and you just spotted that your male colleague
has made a mistake," the presenter asks, "What do you do?"

You kind of want to put yourself down a little bit and say you’re not sure
and you don’t even really like numbers, you don’t even understand math
really, but maybe these numbers might be wrong?

When emailing a request, don’t say: show this to me. People will think you
are mean. So use a lot of emojis, smiley faces, exclamation marks, XOXO if
you want... Just make it seem really really friendly.

"Are you trying to make grown women seem like little girls in the way that
they communicate?" the presenter asks.

People expect women to do this, Cooper says. "If we just respond in a
direct way with 'no', people will think: wow, she is in a bad mood." She
advices:

Read my book and then stop doing all of these things.

Before this part, you can also listen to an interview with Renee Adams of
Said Business School at Oxford University.

In the business world it’s often argued that having more women on the
company’s board improves a company’s productivity, financial performance
and value. The professor says:

In the current policy debate everyone appeals to the commercial reasons for
increasing gender diversity. But that evidence is simply not robust. It’s
very hard to measure the actual benefits of diversity, but I think there is
a case to be made for quotas to be argued on the basis of fairness.

The presenter also speaks to Gay Collins of the 30% Club, a global movement
that campaigns for more women on corporate boards, who says:

There is no doubt that a diverse board makes better decisions.

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Source: Manuela Saragosa | bbc.co.uk on | Language: EN

BBC World Service - Business Daily, Bossy Women and Women Bosses

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piqer:
Will Kherbek 5
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Uncertain Futures: How Economists Think About Uncertainty
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Shortly after the economic crash of 2008, The Queen of England met with a
group of economists and asked a simple question: “Why did no one see it
coming?”. Whether anyone saw the crash coming is a disputable point, but
the answer she was given was that there was a “collective failure of the
imagination” on the part of the leading lights of economics. The question
of how economists can visualise a future, particularly a future that is
increasingly unpredictable and volatile, is the subject matter of the
book *Uncertain
Futures*, which is edited by Richard Bronk and Jens Beckert. These eminent
economic scholars join a panel discussion including Lord Adair Turner, Dr.
Waultraud Schelkle, and Dr. Ekaterina Svetlova in this mind-stretching
podcast from London School of Economics. The key to creating economies that
are safe for the future, the panelists argue, are two elements that are not
traditionally acknowledged as aspects of economic thinking: narrative and
imagination.

In an economic environment characterised by “radical uncertainty” - in
which no individual can know enough to effectively manage and maintain a
system as complex as the global economy - the ways in which economic
stories are told to politicians and the public matter greatly. “It’s not
just about calculation," Dr. Svetlova says, “but how narratives are
negotiated”. In discussing how such narratives gain purchase on the public
imagination, the scholars dip into the literature of dozens of fields of
study including ecology, cognitive science, philosophy, and (of course)
economics. The discussion is complex, but not technical, indeed, the
hyper-mathematical economics of the present is itself a concern. Lord
Turner notes that the importance of distinguishing what can and cannot be
known, mathematised, and modeled is an imperative for economists of the
future. Too much certainty about uncertainty, the panelists remind the
listener, can blind a person to reality.

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Source: LSE Podcasts | soundcloud.com on 11/05/2018 | Image: LSE Public
Lectures | Language: EN

Uncertain Futures: imaginaries, narratives, and calculation in the economy
[Audio] by LSE Podcasts

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piqer:
Roshawn Terrell 5
<https://www.piqd.com/tracking/technology-politics/why-self-taught-artificial-intelligence-has-trouble-with-the-real-world?cid=627eed218b467b80645dd5ce5b66b877&ref=dailydigest&source=DailyDigestEmail&utm_campaign=viewpiq&utm_content=2018-11-13&utm_medium=email&utm_source=dailydigest>
Why Self-Taught Artificial Intelligence Has Trouble With the Real World
<https://www.piqd.com/tracking/technology-politics/why-self-taught-artificial-intelligence-has-trouble-with-the-real-world?cid=627eed218b467b80645dd5ce5b66b877&ref=dailydigest&source=DailyDigestEmail&utm_campaign=viewpiq&utm_content=2018-11-13&utm_medium=email&utm_source=dailydigest>

Listen to this podcast from Quantamagazine that covers the current state of
the art of artificial intelligence, and why current techniques still have
trouble with the real world.

The first notable achievement, was probably when IBM's Deep Blue computer
beat Garry Kasparov at chess in 1997. They did this in part by building
their algorithm based off of centuries of chess wisdom. There have been
many chess engines since then, with one the most powerful being Stockfish
which analyzes over 70 million moves per second. Chess was beat, though
only through brute force calculation. However the game of Go, is a much
tougher nut to crack. As simple as the rules are, Go is a game of profound
complexity. There are an astonishing 10 to the power of 170 possible board
configurations - more than the number of atoms in the known universe -
making Go a googol times more complex than Chess. You literally wouldn't
have enough matter in the universe to build a computer capable calculating
all the possible moves. Which is why it's so fascinating that the human
brain can handle the game so well.

Only recently with the power of algorithms modeled off of the human brain
have we been able to conquer Go.

The problem with all of these games though, is that they are games of
'perfect information,' which means the players see everything that's
happening on the board at all times. The real world however, is mostly
comprised of 'hidden information,' where you don't have all the variables,
and yet you still must make a decision.

Currently Deepmind the company that built the algorithm that conquered Go,
are now setting their eyes toward a game known as StarCraft II. Which is a
real time strategy game of immense complexity where players must make
decisions based off of hidden imperfect information all the time. As the
battlefield in the game is covered in a 'fog of war,' allowing the enemy to
obscure their positions.

If a game like StarCraft II can be beat, then we come one step closer to
true AGI.

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Source: Joshua Sokol | quantamagazine.org on | Image:
https://www.shutterstock.com/g/maxuser | Language: EN

Why Self-Taught Artificial Intelligence Has Trouble With the Real World |
Quanta Magazine

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