Being intelligent comes easy for some!

   “The other day I was chatting with my girlfriend. She’s extremely smart. She said “as a kid I was always bored in school”, so I asked her what she did about it. “There wasn’t much to be done, homework felt easy and I had more time for sports and other activities”.

It is true that she was a competitive tennis player for all of her teenage years. I wondered if that was a result of all the extra time she had. Then she said: “even to this day I feel bored sometimes. People around me seem stupid sometimes”.
At the time we had this little discussion, I knew her birthday was the forthcoming week so I bought her a whole collection of books on political philosophy. Plato, Aristotle, Locke, Hobbes… She never read any philosophy before. She was surprised. I said “if you think you’re smart and if you’re bored, then go get out of your comfort zone. Read those books. Do you think you are smarter than the people who authored those books?”
She read them. She studied. She learned. She became more humble. There’s always someone smarter than you. Always something you can learn. Get out of your comfort zone. Go to the next level. Surround yourself with smart people.”
#great thinkers

When work isn’t enough

   “I am not sure if it was exactly at 31 that Bill Gates took a day off but he has said in multiple interviews that he never took a day off in his 20s. Here is what he had to say in an interview in 2011:

‘I never took a day off in my twenties. Not one. And I’m still fanatical, but now I’m a little less fanatical. I play tennis, I play bridge, I spend time with my family. I drive myself around town in a normal Mercedes.’
This makes complete sense if you follow the timeline of Microsoft – it’s actually pretty interesting. Microsoft was founded in 1975. Bill Gates was 20 back then. In 1980 the IBM deal happened where Bill Gates sold DOS operating system to IBM. That’s when Microsoft started being recognized as a major player in the industry. Bill Gates was 25 when the IBM deal happened. But during that same time, another young man was winning over the computing world – Steve Jobs.
In 1985, Bill Gates introduced the first version of Windows OS to the world. In 1985, Steve Jobs was fired from Apple – his own company. They both were 30 at that time. It’s no coincidence that Microsoft’s meteoric rise happened after 1985. With no Steve Jobs at Apple, Microsoft’s path to dominance became a bit easier. So between growing his company and the rivalry with Apple, I think it makes perfect sense that Bill Gates did not take a single day off until he turned 30. He was too focussed on making sure that Microsoft becomes one of the world’s best companies.
Rest is history. Of course, the tables turned when Steve Jobs returned back to Apple in 1997.”
#Steve jobs

Success is not your enemy!

I am writing you to see why you are not working on your business. If you need help, there is no shame in saying you don’t understand something. We are all here to build eachother up. Never think or feel you are along in this business because that isn’t the case at all. If you have forgotten why you joined in the first place let me be the first to remind you that it was a great choice. You have to realise it yourself before it really means anything. The chance to be successful is yours to have but nothing here will force you to allow yourself to do great things.

Who needs a job

Inbound sales
     ” Inbound telephone sales are unlike ever before a maturing industry. In the past, organizations understood the value of a direct marketing lead, but failed to track and capitalize on its opportunities. Today, that has changed. An inbound telephone sale is the result of great marketing and great products. The marketing generates the telephone call and the products ensure repeat calls. The receiver of the call becomes critical. Inbound telephone representatives must reinforce the marketing message, and position the product to distinguish itself from competition. Time is short. Every call is warm, only for moments. At Phone Ware®, we train our representatives to understand your valuable differentiation. Our staff studies more than the skillsets for great telephone sales. We study marketing, customer care, interpersonal relationships. We believe an inbound call is more than just the end of the marketing and product cycle. It’s merely the beginning of a terrific opportunity.
Customer CareCustomer Care is today’s vehicle for impressing and keeping your clients. In the past, a customer care department was a cost-center. Now, it is a marketing and customer retention platform. New business is always gold-but enhancing your relationships with existing customers provides best-practice organizations with a leading edge. Think of your customer campaign this way: Every touch matters, the people are far more important than the technology, and data is king. Phone Ware® elevates your systems and practices when it comes to superior customer care. Your company, and your customers, will be impressed!

Phone Ware is a call center providing inbound, outbound sales, survey, 
cross selling and up selling for a wide selection of industries.”

Contact ; Att: William Floyd if you are looking for a job in this industry;

#San Diego California
#southern California

Four billionaires that made money

    Four rich people. “

Jakob Fugger – estimated wealth – $277–400 billion
Jakob Fugger (1459-1525) was one of Renaissance Europe’s wealthiest citizens. His influence in royal circles continued to alter the continent’s history for decades after his death. Though he was not the founder of the German mercantile and banking dynasty that bore his name, Fugger enriched it exponentially by entering into lucrative financial contracts with the Holy Roman Empire that gave him land holdings as well as profitable concessions in mining and trade.
John D. Rockefeller – estimated wealth – $340 billion
On September 29, 1916, Rockefeller became the second person ever to reach a nominal personal fortune of USD 1 billion. Rockefeller amassed his fortune from the Standard Oil company, of which he was a founder, chairman and major shareholder. By the time of his death in 1937, estimates place his net worth in the range of US$300 billion to US$400 billion in adjusted dollars for the late 2000s. When considering the real value of his wealth, Rockefeller is widely held to be the wealthiest American, as well as the richest person in modern history.
Andrew Carnegie – estimated wealth – $310 billion
Carnegie founded the Carnegie Steel Company, which was the most extensive integrated iron and steel operations in the United States; in 1901, Carnegie sold his company for US$480 million to J.P. Morgan, who then merged his company into U.S. Steel.
Capitalized at US$1.4 billion at the time, U.S. Steel was the first billion dollar company in the world. In his final years, Carnegie’s net worth was US$475 million, but by the time of his death in 1919 he had donated most of his wealth to charities and other philanthropic endeavors and had only US$30 million left to his personal fortune. Carnegie’s hundreds of millions accounted for about 0.60% of the U.S. annual GDP and has a real value estimated at about US$75 billion adjusted for the late 2000s.
Henry Ford – estimated wealth – $180–190 billion
Henry Ford was an American automotive engineer, entrepreneur, and founder of the Ford Motor Company. Through his designing of the Model T Ford and employing the assembly line means of rapid production, he was able to lower the base price of his product in order to reach a wider market. As production increased, Ford further reduced prices and increased salaries to reduce worker turnover. This resulted in a rapid increase in output, with Ford production rising from roughly 18,000 cars in 1909 to over 1 million cars in 1920. Despite Ford stating that his focus was increasing Ford Motor Company’s benefit to society and to its employees, even at one point being sued by the Dodge brothers based on this premise, his company was massively profitable. His highest earnings were recorded at age 57 and he died at the age of 83 in 1947 at a net worth of USD 188.1 billion (inflation-adjusted value in 2008 dollars).”


Just think it!


These 62 Websites Will Make You Incredibly Smarter

Intellectual growth should commence at birth and cease only at death.” — Albert Einstein
Learning should not end after formal education. Lifelong learning, the ongoing, voluntary, and self-motivated pursuit of knowledge can enrich your understanding of different topics and make you a better person every day. Your career, personal life, and total well-being will never be the same if you can commit to some of these awesome resources.
1/ BBC — Future — In-depth coverage of science, health and technology
2/ 5-minute Drops: Learn a new language for no more than 5 minutes per day.
3/ Makezine: DIY projects, how-Tos, electronics, crafts and ideas for makers.
4/ Psychology Today is devoted exclusively to everybody’s favorite subject: Ourselves.
5/ Daily Bits Of: Learn anything, anywhere, with daily courses via email.
6/ Skillshare for Mobile: Learn just about anything.
7/ Medium: Don’t miss the amazing pieces here every week.
8/ The School of Life: A place that tries to answer the great questions of life with the help of culture.
9/ Chalk Street: Learn the things that are important to you.
10/ Modern “How To” guides.
11/ University of Reddit: Learn 1,000’s of new things, from reddit.
12/ Highbrow: Expand your knowledge universe in just 5 minutes a day.
13/ InstaNerd: Be smart, instantly.
14/ Degreed: A lifelong learning platform.
15/ Daily Curiosity: Get informed with 5 new amazing
topics, delivered daily.
16/ Lrn: Learn to code at your convenience.
17/ Flowkey: The easiest way to learn piano.
18/ Big Think: Articles and videos featuring expert “Big Thinkers.”
19/ Code School: Learn to code by doing
20/ Lookmunk: Find the best websites to learn something new everyday!
21/ Greatist: Real facts and doable steps for your happiest life
22/ 99U (YouTube) — Actionable insights on productivity, organization, and leadership to help creative people push ideas forward.
23/ Youtube EDU — The education videos that unlock knowledge.
24/ WikiWand — A slick new interface for Wikipedia.
25/ The long read (The Guardian) — In-depth reporting, essays and profiles.
26/ TED Ideas— Insighful essays on creativity, ideas and global issues.
27/ iTunes U — Learning on the go, from some of the world’s top universities.
28/ InsightfulQuestions (subreddit) — Intellectual discussions that are not necessarily genre-specific.
29/ Cerego — Cerego helps you build personalized study plans based on your strengths and weaknesses to retain knowledge.
30/ University of the People — Tuition-free online university that offers higher education in multiple course streams.
31/ OpenSesame — Marketplace for online training, now with 22,000+ courses.
32/ CreativeLive — Take free creative classes from the world’s top experts.
33/ Thinkful — 1-on-1 coding mentorship to help advance your career.
34/ Zidbits: Huge collection of fun facts, weird news, and articles on a variety of topics.
35/ Quora — You ask, the net discusses — with top experts and fascinatingback and forth on everything.
16. Digital Photography School — Read through this goldmine of articles to improve your photography skills.
36/ Scientific American: Explores issues that matter including the human mind, earth, and space.
37/ Brain Pickings — Insightful long form posts on life, art, science, design, history, philosophy, and more.
38/ Peer 2 Peer University or P2PU, is an open educational project that helps you learn at your own pace.
39/ MIT Open CourseWare is a catalog of free online courses and learning resources offered by MIT.
40/ Gibbon — This is the ultimate playlist for learning.
41/ Investopedia — Learn everything you need to know about the world of investing, markets, and personal finance.
42/ Udacity offers interactive online classes and courses in higher education.
43/ Mozilla Developer Networkoffers detailed documentation and learning resources for web developers.
44/ Future learn — enjoy free online courses from top universities and specialist organisations.
45/ Google Scholar — provides a search of scholarly literature across many disciplines and sources, including theses, books, abstracts and articles.
47/ Brain Pump — A place to learn something new everyday.
47/ Mental Floss — Test your knowledge with amazing and interesting facts, trivia, quizzes, and brain teaser games.
48/ Learnist — Learn from expertly curated web, print and video content.
49/ DataCamp — Learn data science online.
50/ edX — Take online courses from the world’s best universities.
51/ CoffeeStrap: Learn a language by meeting cool people.
52/ Coursmos — Take a micro-course anytime you want, on any device.
53/ Platzi — Live streaming classes on design, marketing and code.
54/ Alison: Free online courses from the world’s top publishers.
55/ Course Buffet: Find and compare hundreds of free online courses.
56/ Now I Know: Learn something new every day, via email.
57/ Curious: Play the game of lifelong learning.
58/ Memrise: Learning, made joyful.
59/ Snapguide: How-to guides on all your favourite topics.
60/ 99U: Actionable insights on productivity and creativity.
61/ Nautilus: A magazine on science, culture, and philosophy for the intellectually curious.
62/ Aeon: A magazine of ideas and culture.
What is your favourite learning website or app that is not on this list?
If you enjoyed this post, you will lovePostanly Weekly. It’s my FREE weekly digest of the best productivity, life and career improvement posts from around the web. It challenges you to become the best version of yourself.”

Who said skype?

   “Microsoft has updated Skypewith a much-needed feature: A Web-based guest interface that lets you make and receive calls without the need to download the desktop app or register for an account.

To make a call, all you need to do is point your browser to and enter a handle. You’ll receive a link that you can share with anyone, and you can then start a voice or video call, group chat, and share files.

Naturally, your contact will be able to interact with you the same way when they visit the link you’ve shared, in an interface that will be familiar to anyone who’s used Skype in the past. Conversations last for 24 hours, after which they’re wiped clean.


While that’s good to see on Skype, it’s clear that Microsoft is awfully late to the game. Barring email, most messaging apps that you might consider using to share this Skype call link already support voice and video calls.
If that still sounds useful to you, you can try the new feature by visiting”

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Math Menace


The use of machine learning to teach computers to play board games has had a lot of interest lately. Big companies such as Facebook and Google have both made recent breakthroughs in teaching AI the complex board game, Go. However, people have been using machine learning to teach computers board games since the mid-twentieth century. In the early 1960s Donald Michie, a British computer scientist who helped break the German Tunny code during the Second World War, came up  with Menace (the Machine Educable Noughts And Crosses Engine). Menace uses 304 matchboxes all filled with coloured beads in order to learn to play noughts and crosses.

How Menace works

Donald Michie's original Menace.

Donald Michie’s original Menace.
Menace “learns” to play noughts and crosses by playing the game repeatedly against another player, each time refining its strategy until after having played a certain number of games it becomes almost perfect and its opponent is only able to draw or lose against it. The learning process involves being “punished” for losing and “rewarded” for drawing or winning, in much the same way that a child learns. This type of machine learning is calledreinforcement learning.
The 304 matchboxes that make up Menace represent all the possible layouts of a noughts and crosses board it might come across while playing. This is reduced from a much larger number by removing winning layouts, only allowing Menace to play first and treating rotations and reflections as the same board.

Each of these layouts would be represented by a single matchbox, as they are all either rotations or reflections of one another.
Each of these matchboxes contains a number of coloured beads, each colour representing a valid move Menace could play for the
Coloured beads representing possible moves.

Coloured beads representing possible moves.
corresponding board layout. The starting number of beads in each matchbox varies depending on the number of turns that have already been played. In Donald Michie’s original version of Menace, the box representing Menace’s first turn had four beads for each different move. The boxes representing the layouts of the board for Menace’s second turn contained three beads for each different move; there were two beads each for Menace’s third; and one of each in the boxes representing Menace’s fourth go. There are no boxes representing Menace’s fifth move as there is only one space remaining and Menace is forced to take it.
To speed up the learning process even more, only beads representing unique possible moves are used. So even though all the spaces are free on an empty board, only three need to be represented: centre, side and corner. All other positions are equivalent to one of these three.
The beads shown are the only ones required for each scenario: all other positions on the board are equivalent to one of the positions marked.

The beads shown are the only ones required for each scenario: all other positions on the board are equivalent to one of the positions marked.
When Menace makes its move one must find the box representing the current board layout and take a bead at random from that box. The bead represents the space in which Menace wishes to place its counter. This process is repeated every time it is Menace’s go until either somebody wins or the board is filled.
After having completed a game, Menace is punished or rewarded depending on the outcome. If Menace lost, the beads representing the moves Menace played are removed. If it was a draw, an extra bead of the colour played is added to each relevant matchbox; while if Menace won, three extra beads are added. This means that if Menace played badly, it will have asmaller chance of playing the same game next time. However, if Menace played well, it is more likely to follow the same route the next time and win again.

An example gameimg4

When playing against Menace, Menace always starts, otherwise the number of matchboxes needed would be greatly increased.
1st move, Menace’s turn: The operator finds the matchbox that displays the empty board, opens it and takes out a random bead. In this case the random bead is red, which means that Menace wants to place its counter in the centre-top space.
2nd move, player’s turn: The human player places the counter in the desired spot, which is in the centre.
3rd move, Menace’s turn: The operator finds the matchbox that displays the current board layout, opens it and takes out a random bead. The random bead is now blue, which means that Menace wants to place its counter in the top-left corner.
4th move, player’s turn: The human player places the counter in the desired spot, here blocking Menace from getting three in a row.
5th move, Menace’s turn: The operator finds the matchbox that displays the current board layout, opens it and takes out a random bead. The random bead is green, which means that Menace wants to place its counter in the middle row and left-most column.
6th move, player’s turn: The human player places the counter in the bottom-left corner and obtains three in a row. The human player wins!
With the game over, Menace, since it lost, must be punished. Hence every bead that represented a move played is removed from its corresponding box, as shown below.

Building Menace

I built a physical implementation of Menace so that I could play against the real thing myself. I wanted to create an experience similar to that which Michie must have had when he came up with the idea. What is most striking is the time it takes to play one game: finding the right box, taking a bead out and then placing Menace’s piece in the corresponding space on the board is very time-consuming.
img6img7To make things faster I therefore decided to write a Python script to work in the same way that Menace does, with the computer doing all the work for me. Using the script, I could also save the state of the boxes and try out new reward systems and bead arrangements without losing the results from a previous set of data.
On top of this, I could now train Menace by playing it against already existing programmed strategies for noughts and crosses. I first had it play hundreds of games against a program that placed its counters randomly. You could see that after having played a certain number of games Menace had evolved. But when I played against Menace afterwards, it would sometimes make irrational moves. When Menace played against the random strategy, the random strategy would often place its counter somewhere other than where it could easily block Menace, letting Menace win and therefore reinforcing the sequence of moves that had been played. These moves, however, might not necessarily have been good ones Menace might just have got lucky.
I also wrote a program for a perfect strategy for noughts and crosses to train Menace against. This strategy only lets another player draw or lose against it. What struck me when training Menace against this program was the number of times it ran out of beads in certain boxes, having lost so many times that all of the beads from a particular box were removed. If there are no beads left in the box representing the current scenario, Menace is said to “resign” as it doesn’t “think” it can win in its current situation. This is OK if it’s a box representing a move that you rarely come across, but when it’s the box representing the empty board, the box that Menace always starts off with, there’s a problem! To fix this, all I needed to do was to add more beads to this box, although this had the consequence that it takes Menace longer to learn.


Graphs showing Menace against a perfect strategy. The y-axis shows the number of games Menace has drawn minus the number it has lost. On the top, we can see that after having added beads to the starting state of Michie’s original Menace, it takes longer to draw the same number of games as it has lost (cross the x-axis).
Machine learning is being used in many fields today including in the work of technology giants such as Facebook and Google, whom we have already mentioned have made breakthroughs in the more complex game of Go. The AI programs learning to play Go are not saving all the possible layouts of the game as we have done with noughts and crosses, as there are more of these than there are atoms in the universe. Instead, these programs detect similar patterns and use them as a starting point for their learning. However, the programs are then taught in a similar way to the way we taught  Menace to play against different strategies, although the programs learning Go play against themselves repeatedly. So ideas that emerged from simple machines in the past are still being used today for much more complicated tasks.”
#math instructors

Facebook Metrics Bugs


Facebook Says It Found More Miscalculated Metrics

Social media giant plans to form measurement council and provide more third-party data verification for partners

Facebook Inc. said it has uncovered several more flawed measurements related to how consumers interact with content, raising more questions about the metrics marketers lean on to decide whether to buy ads on the social media network.
The company publicly disclosed on Wednesday that a comprehensive internal metrics audit found that discrepancies, or “bugs,” led to the undercounting or overcounting of four measurements, including the weekly and monthly reach of marketers’ posts, the number of full video views and time spent with publishers’ Instant Articles.
None of the metrics in question affect Facebook’s billing, said Mark Rabkin,vice president of Facebook’s core ads team.
This revelation comes two months after Facebook acknowledged that is had been overestimating the average viewing time for video ads on its platform for roughly two years.
That news led Facebook to take a deeper look at all of its advertising-related metrics and data.
Now, after finding more examples of data miscalculations, Facebook said it would provide additional independent review of some measurements to calm unease over the social network’s data.
The unveiling of the additional errors may trouble some advertisers and web publishers that rely on Facebook for distribution and monetization.
Several had already called for additional third-party validation of Facebook’s data.
As part of its effort to assuage advertiser concerns about the soundness of its metrics, Facebook will provide viewability data from third-party metrics companies such as Moat and Integral Ad Science for display ad campaigns. Previously, this data was limited to video campaigns.
“We are doubling down on our efforts at third-party verification,” saidCarolyn Everson, Facebook’s vice president of global marketing solutions.
In addition, the social-media network said it is working with ratings firm Nielsen to count Facebook video views, including both on-demand views and live viewing, as part of Nielsen’s Digital Content Ratings metric.
Lastly, Facebook said it plans to form a Measurement Council made up of marketers and ad agency executives, and will roll out a blog to communicate more regularly on updates about measurement.
As for the newly discovered bugs, the errors apply to only four of more than 220 metrics that Facebook counts.
In one instance, Facebook found that it had been overcounting how many people were exposed to marketers’ organic posts, meaning regular posts that weren’t paid ads, because it was adding up the daily reach over certain periods without accounting for repeat visitors. The corrected metric on average will be about 33% lower for the seven-day period and 55% lower for the 28-day period, Facebook said.
In another case, Facebook found it had been undercounting how many people watch video ads to their completion.
Some people watch video ads in their entirety, but because the audio and video tracks aren’t always perfectly synced, Facebook wasn’t counting some views as completed at 100%. As a result, Facebook expects the count of completed video views to increase by 35%.
Because of another calculation error, the amount of time people spend with Instant Articles was overreported by 7% to 8% on average since August 2015, Facebook said.
“Some of [the bugs] will have a bigger impact than others,” said Mr. Rabkin. “The range of impact varies. We wanted to err on the side of fairness and transparency.”
Facebook’s efforts to fix its reputation with Madison Avenue may fall short of the demands from some ad buyers.”

Another bathroom high

   “Blue Light Rest Rooms

There are public restrooms in Switzerland with blue lighting.
Do you know why?
Blue lighting is sometimes used in public toilets (restrooms) to make it more difficult for drug users to inject themselves (veins are harder to see).
How are the lights going to keep druggies away? Because blue light makes it impossible to see your veins, and thus discourages people from shooting up. Yes, that’s seriously what it’s for.
It also has the added benefit of making the restroom look like an awesome nightclub, albeit one with feces on the walls.
Now most of the public restrooms around the world are implementing the blue lighting concept.”