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A proposal for measuring “intelligence” of AI models
Jun 15, 2022 · original
One of the most difficult things we encounter when dealing with the term “artificial intelligence” is the inadequacy of human language. The question of whether state-of-art artificial neural networks or other machine learning algorithms can or should be classified as “intelligent” cannot be answered conclusively, simply because there is no clear definition of intelligence. Or, to put it another way: Intelligence can be defined along several dimensions: On the one hand it is used to describe the ability “to learn and understand” [1] – properties which some might see appliable to artificial neural networks we already use today. On the other hand, it measures how well someone “adapt to new situations, understand and handle abstract concepts” [2] – an ability that can hardly or not at found on state-of-the-art models. Humans are extremely good at correctly classifying new problems or situati
Use DNS TXT lookup to gain quick insights which services companies are using
Mar 22, 2022 · original
Modern web services consist of a variety of different own and third-party services connected and integrated to form a seamless experience (in the best case). And this happens for a good reason: As companies focus on their core business, they outsource everything that is not of strategic value for their operations such as ticketing systems, marketing & email platform and the like. But with high heterogeneity comes high integration effort and one of the standard methods to integrate services from different providers in an orderly and clean way is to put them under your own domain. Simply put, if you have a site example.com and you use an IT support ticketing system, you may want to make it reachable over itsupport.example.com while the payment processing system may live under payment.example.com . As mentioned, these services are often third-party cloud SaaS applications that are created a
Fakestagram – How bots and fake accounts simulate a vivid world in social media
Jan 28, 2021 · original
For a long time, I avoided Instagram for the most part. Not because I’m a notorious social media hater or have privacy concerns but mainly because I haven’t found content there that was appealing to me. This changed when I helped to build up a social media presence and it became part of my daily habit to check what other people are posting. Very quickly, I came across an interesting fact: People with no particular interesting content have thousands or even ten thousands of followers. I’ve seen a girl who presented an avocado (she apparently eats daily) on Instagram. Just a picture of an avocado. Every. single. day. 10.000s of followers! How could this be? Does it only take one avocado to ecstasiate the Instagram crowd? Is this the great chance for me to finally find an audience for my best friend apple I’m eating every day? I took a closer look at the followers of the avocado girl and th
Technology makes it easier for conversations to lose their soul
Jan 23, 2021 · original
Recently, my colleague Peter was promoted and happily announced it on LinkedIn. Within a very short time, an interesting phenomenon could be observed under his post, the comments section filled with the following text: What happened here was clear: LinkedIn offers the possibility to reply to posts with ready-to-use text modules. A change of the job title is interpreted as positive news and therefore the module “Congrats X” is suggested, of which many colleagues made use. Now, this can be dismissed as a harmless way of simply expressing congratulations quickly in the hustle and bustle of everyday life, and technology helps us to do this in digital form. And yet there is something disturbing about this robotic form of communication and we should discuss the long-term impact more widely. The generation of text or text modules is not limited to the LinkedIn microcosm, especially since the de
Why you will never become rich and famous like Silicon Valley Entrepreneurs
May 28, 2020 · original
Admit it: You are dreaming of building this one thing that will make you financially independent for the rest of your life. Millions of young people admire those glamorous entrepreneurs with the mission to change the world and a lot of them tell the same story: Starting from basically nothing, in a garage, I just had this great idea and then I worked really hard and now I’m a millionaire which implies: Everyone can do this, just be smart and work hard. If you dig deeper however, it becomes obvious that most of these dishwasher-to-millionaire stories are either pure lies or at least sugarcoated. I picked three entrepreneurs to underline by point. Let’s start with Mark Zuckerberg. His career began at the relatively unknown Ardsley High School. Two years later he moved on to the prestigious Phillips Exeter Academy – a school with good connections to Harvard. Of course, to be accepted into P
How can Computers learn to think? From “Machine Learning” to “Machine Thinking”
Jul 19, 2017 · original
What is good? And what is evil? Think about this for a couple of seconds, think about how you define those two terms and how you’ve learned how to distinguish them. This is not a trivial question, in fact, the concept of good and evil and how to define those terms is on people’s mind since thousands of years. All religions have found their very own definition and metaphors. In Christianity for example, the Bible clearly defines who is good and evil. God and Jesus, as well as all who follow their life rules, are good. All who turn away from God, abhor the Ten Commandments, or let them seduce by the devil are evil. To be evil, however, is not an irreversible way to ruin, the Bible teaches that a true regret of the evil deeds and the forgiveness of sins through God can lead back to the “good” way. In Buddhism the distinction between good and evil is much less acute than in Christianity. Ask
Why human beings in computer animated movies still don’t look like real humans
Jan 3, 2017 · original
Disney’s latest animated movie “ Moana ” is – once again – a big seller: With a budget of 150 million USD, the box office revenue after one month already beats 500 million. If you take a closer look at the protagonists Moana, Tui or Tala, you’ll notice that they look like cartoon characters but not like real human beeings. On the one hand this is not exceptional as almost every human being in Disney movies looks like a cartoon character. On the other hand, most computer game creators try to design the protagonists as realistic as possible and with modern technology and today’s computer power, it is easily possible to create movies with realistic human beings. So why do animated Disney characters still don’t look like real humans? The reason for this is the so called Uncanny Valley effect . This phenomenon describes that people find highly abstracted, completely artificial figures more ap
Merry Christmas 2016
Dec 24, 2016 · original
Christmas Trivia: Santa Claus statistics
Dec 23, 2016 · original
There are 2 billion children in the world (age 0-14) which means, statistically Santa Claus must bring gifts to 23,148 children per second on Christmas Eve to finish in time.
Christmas Facts: Who buys Christmas cards?
Dec 21, 2016 · original
Only 15% of Christmas cards in the US are bought by men.

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