Lifeboat Foundation

Getting Sexy and the Undivided Attention of Your Fortune-500 Client CEOs! (Excerpt from the White Swan book) By Andres Agostini at www.linkedin.com/in/andresagostini

(1.- of 17 ).- If you want to seize the undivided attention of top executives at Los Alamos National Laboratory and Procter & Gamble, talk to them through the notions of and by Process Re-engineering.

(2.- of 17 ).- If you want to seize the undivided attention of top executives at GE, talk to them through the notions of and by Six Sigma, and Peter F. Drucker’s Management by Objective (MBO). While you are with them, remember to commend on the Jack Welch’ and Jeff Immelt’s master lectures at GE’s Crotonville.

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E.Q.-Focused Nations (suboptimal) Versus I.Q.-Centric Countries (optimal)

1.- E.Q.-Focused Nations argue that the millenarian applied terms such as: Prudence, Tact, Sincerity, Kindness and Unambiguous Language DO NOT SUFFICE and hence they need to invent a marketeer’s stunt: Emotional Intelligence. I.Q.-Centric Countries argue that the millenarian applied terms are beyond utility and desirability and that stunts are to social-engineer and brain-wash the weak: Ergo, all of these are optimal: Prudence, Tact, Sincerity, Kindness and Unambiguous Language, as well as plain-vanilla Psychology 101.

2.- E.Q.-Focused Nations are mired with universal corruption, both in private and public office. I.Q.-Centric Countries are mired with transparency, accountability and reliability, as well as collective integrity and ethics.

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Sara M. Watson — The Atlantic

Facebook has always “manipulated” the results shown in its users’ News Feeds by filtering and personalizing for relevance. But this weekend, the social giant seemed to cross a line, when it announced that it engineered emotional responses two years ago in an “emotional contagion” experiment, published in the Proceedings of the National Academy of Sciences (PNAS).

Since then, critics have examined many facets of the experiment, including its design, methodology, approval process, and ethics. Each of these tacks tacitly accepts something important, though: the validity of Facebook’s science and scholarship. There is a more fundamental question in all this: What does it mean when we call proprietary data research data science?

As a society, we haven’t fully established how we ought to think about data science in practice. It’s time to start hashing that out.

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By Clément Vidal — Vrije Universiteit Brussel, Belgium.

I am happy to inform you that I just published a book which deals at length with our cosmological future. I made a short book trailer introducing it, and the book has been mentioned in the Huffington Post and H+ Magazine.

About the book:
In this fascinating journey to the edge of science, Vidal takes on big philosophical questions: Does our universe have a beginning and an end, or is it cyclic? Are we alone in the universe? What is the role of intelligent life, if any, in cosmic evolution? Grounded in science and committed to philosophical rigor, this book presents an evolutionary worldview where the rise of intelligent life is not an accident, but may well be the key to unlocking the universe’s deepest mysteries. Vidal shows how the fine-tuning controversy can be advanced with computer simulations. He also explores whether natural or artificial selection could hold on a cosmic scale. In perhaps his boldest hypothesis, he argues that signs of advanced extraterrestrial civilizations are already present in our astrophysical data. His conclusions invite us to see the meaning of life, evolution, and intelligence from a novel cosmological framework that should stir debate for years to come.

You can get 20% off with the discount code ‘Vidal2014′ (valid until 31st July)!

Computers will soon be able to simulate the functioning of a human brain. In a near future, artificial superintelligence could become vastly more intellectually capable and versatile than humans. But could machines ever truly experience the whole range of human feelings and emotions, or are there technical limitations ?

In a few decades, intelligent and sentient humanoid robots will wander the streets alongside humans, work with humans, socialize with humans, and perhaps one day will be considered individuals in their own right. Research in artificial intelligence (AI) suggests that intelligent machines will eventually be able to see, hear, smell, sense, move, think, create and speak at least as well as humans. They will feel emotions of their own and probably one day also become self-aware.

There may not be any reason per se to want sentient robots to experience exactly all the emotions and feelings of a human being, but it may be interesting to explore the fundamental differences in the way humans and robots can sense, perceive and behave. Tiny genetic variations between people can result in major discrepancies in the way each of us thinks, feels and experience the world. If we appear so diverse despite the fact that all humans are in average 99.5% identical genetically, even across racial groups, how could we possibly expect sentient robots to feel the exact same way as biological humans ? There could be striking similarities between us and robots, but also drastic divergences on some levels. This is what we will investigate below.

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The technological singularity requires the creation of an artificial superintelligence (ASI). But does that ASI need to be modelled on the human brain, or is it even necessary to be able to fully replicate the human brain and consciousness digitally in order to design an ASI ?

Animal brains and computers don’t work the same way. Brains are massively parallel three-dimensional networks, while computers still process information in a very linear fashion, although millions of times faster than brains. Microprocessors can perform amazing calculations, far exceeding the speed and efficiency of the human brain using completely different patterns to process information. The drawback is that traditional chips are not good at processing massively parallel data, solving complex problems, or recognizing patterns.

Newly developed neuromorphic chips are modelling the massively parallel way the brain processes information using, among others, neural networks. Neuromorphic computers should ideally use optical technology, which can potentially process trillions of simultaneous calculations, making it possible to simulate a whole human brain.

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- @ClubOfINFO — A recent massive leap forward in synthetic life, recently published in Nature, is the expansion of the alphabet of DNA to six letters rather than four, by synthetic biologists – the technicians to whom we entrust the great task of reprogramming life itself.

Continue reading “VIRUS: Rebutting the fear of synthetic biology @HJBentham @IEET” »