January 02 2018, 16:50

Inspired by a photo attached to the post.

It’s interesting how the more complex/resource-intensive learning something is, the less they pay professionals in Russia.

For example, to become a professional musician, one needs to invest about ten years in daily music practice. To become a professional artist, besides talent, tens of thousands of hours of practice are needed. Just to start thinking about the Poincaré conjecture, one must follow a path of about fifteen years, filled solely with mathematics. People don’t just stumble into quantum physics either. Professional athletes sacrifice their lives, and only a handful out of hundreds or thousands earn decent money from advertising contracts. To become a good doctor, you need to put in at least eight years of study and practice to initially earn just tens of thousands of rubles with slight increases over the following years.

Meanwhile, one can start earning through programming after a couple of years of intensive daily practice on platforms like Coursera combined with real team experience. Organizing something and bringing it to fruition often also doesn’t require the preliminary investment mentioned in the previous paragraph. Even basic repairs and construction work bring in more money for craftsmen, while demanding significantly less training even for those not naturally skilled.

Are there any counterexamples?

December 30 2017, 20:38

I understand that this is not exactly a New Year’s Eve question, but perhaps you have some ideas. I’ve figured out the technology for generating forms (surveys, registration, etc.) based on rules (Drools). Here’s the concept: you create a rule (a text file) that says “If the user enters a number greater than 20 and less than 30 in field X, then add a couple more fields to the form, check field Y for completeness, and if it is not filled out, display a message that it needs to be filled.” The uniqueness of this particular approach I was exploring (tohu) is that the logic is based on rules, which means it has a non-linear structure (the order of rule execution is unpredictable, the system executes them quickly, there can be as many as you want, logic is added dynamically without recompiling the project, and rules are formulated in a language close to business. Overall, such a tool is very convenient to use when there are many complex rules (like forms with ten steps, complex validation, and lots of dynamic parts).

Question: In what areas could this be applicable? Loan applications, insurance, what else? Theoretically, the system can handle hundreds or thousands of rules, while loan applications involve at most about 10 rules.

December 29 2017, 01:55

Watched “Song of the Sea.” A very unusual, tender, unhurried, and very pleasant cartoon with a very soulful soundtrack that fills half of the film. From the director of “The Secret of Kells,” which also ranks high in my list. The simple graphics might be puzzling, but trust me, firstly, they are not simple, and secondly, the mood and color could not have been conveyed in any other rendering. Overall, a wonderful aftertaste, we all liked it, and Lisa is crazy about the visuals. Now, she’ll probably start drawing them;)

https://www.kinopoisk.ru/film/pesn-morya-2014-714248/

December 28 2017, 14:11

Sharing an interesting website, sciencealert.com — I recommend it as a rather intriguing source of news. Continuing the theme of discoveries in 2017:

Ben Tippett, a theoretical physicist and mathematician from the University of British Columbia (Canada) has theoretically proven the possibility of time travel both forwards and backwards, using the curvature of space-time in the Universe.

http://www.sciencealert.com/physicists-just-came-up-with-a-mathematical-model-for-a-viable-time-machine

The lungs are not only for breathing but also produce blood. The lungs of mammals produce over 10 million platelets per hour, constituting a major portion of the blood platelets circulating through the body.

http://www.sciencealert.com/an-unexpected-new-lung-function-has-been-discovered-and-it-could-disrupt-decades-of-scientific-thought

Scientists from the Scripps Research Institute (TSRI) have announced the creation of the first stable semi-synthetic organism.

https://www.sciencealert.com/new-semi-synthetic-organism-can-make-molecules-we-ve-never-seen-before-dna-unnatural

A giant neuron was discovered, encompassing the entire circumference of a mouse’s brain. It likely plays a role in consciousness.

http://www.sciencealert.com/a-giant-neuron-has-been-found-wrapped-around-the-entire-circumference-of-the-brain

After 130 years of studies, scientists might have to rewrite the dinosaur family tree and redefine the theropods, formerly a suborder of saurischians, to avipods.

http://www.sciencealert.com/after-130-years-we-might-have-to-completely-redraw-the-dinosaur-family-tree

A new, seventh geological continent called Zealandia has been found, covering 4.9 million sq. km, with New Zealand and New Caledonia being parts of it.

http://www.sciencealert.com/earth-has-a-brand-new-continent-called-zealandia/

That’s enough for today) lunch break is over, I’m off back to work

December 28 2017, 13:56

What made 2017 memorable? This year, a human gene was edited, SpaceX launched a used Falcon 9 rocket – a very cool breakthrough, Deepmind taught a computer to use the laws of physics to overcome random obstacles, and Boston Dynamics is creating robots that do similar things in reality – I recommend watching a lecture at TED, Water-Gen introduced a device for extracting water from the air, 800 gallons a day, we obtained time crystals – a new “asymmetric” state of matter over time. Biologists discovered that dragonflies have living wings – the veins inside the wings are part of the respiratory system. Physicists created excitonium, a new form of matter whose theoretical existence was predicted in the ’60s, and a new superconductor, metallic hydrogen, predicted in 1935. And the discovery of gravitational waves is also significant (a friend of mine here in the US worked on this project, it was very interesting to talk shortly after the discovery, about LIDO detectors and the complexities involved).