Glance of revolution

Earthling versus A.I

Disaster or Dawn?

  Before the main topic, it's prerequisite to understand the industry revolution 1.0 to 4.0 as below.

Industry 1.0 - Machine

From: 1760s to 1830s 

D: The production reform from physical strength to machine power driven by water or steam.

Effect: The start of MP, Mass Production, replace the domestic OEM.

Industry 2.0 - Electrification 

From: 1840s to 1870s

D: Electrical power significantly enables the improvement of railroad network, production line, telegraph, and quite a few systems powered by electric.

Effect: Electrification ensures that the machines are further advanced and the production increased exponentially.

Industry 3.0 - Computing power

From: 1929s to 1950s

D: The start of automation driven by computers like PLC, integrated chips, and etc.

Effect:  The applications of automation evolve into less defective rate with great mass production.

Industry 4.0 - IoT

First mentioned in 2011

D: Cyber-Physical System which means the integration of human being, computer, and products. 

Effect: Computer can actively detect the obstacle and expel it without any human being.


  In this case, from the business perspective, I'd like to share my personal experience as below. Companies often possess different attitude on how to improve their facilities and production line. While some think they can just skyrocket the production such as by hiring more people, other tend to invest in more machine. Well, for me, I disagree that we can solve the production easily with more people and equipment because of following reasons.

Machine learning

  First of all, a company should care about efficiency, and implementing system driven by machine learning or deep learning may help them to detect the faulty products easily in order to lower the cost and raise up the production. For instance, the learingGripper from Festo is one of tremendous applications of machine learning. The application of machine learning includes the data mining, statics, and even AI. That is to say, it's inevitable for people to understand the principle of machine learning because we utilize it everywhere from Pepper to SpaceX reusable rocket.


The definition of machine learning is as below and to simplify it.

"Give a computer a fish, you feed it for a day; 

Teach it how to fish, you feed it for a lifetime."

Deep-Learning

  Secondly, companies focus on development when investing in new products, and achieving the integration of company system so that we can have anything under control without a human being again. For example, the Telsa self-driving car is the pioneer in the application of deep-learning. Tons of application of deep-learning we can only imagine initially is now heading to insane phenomenon like Sophia, the first KSA robot citizen, it or she can catch your microexpression and even answer the concerned question like "Will you destroy human?" In other words, we'd better learn something we cannot be replaced such as emotional-required skill "Psychological counseling", maybe?

The definition of deep-learning is as below and to simplify it.
(CNN, Convolutional Neural Net, is the well-known principle network.)

"Let the computer think the solution by itself"

Disaster and Dawn?

  Last but not least, from the industry 1.0 to industry 3.0, people always can find our way out. In fact, we need to embrace the future rather than being afraid of new technology. The book "Slash" proves a classical example that we cannot rely any longer on a single career which means we should start our new career by accumulating specific area experience, works, or reputation year after year. Just like some people, they start to be a Youtuber, Blogger, and even coding a side-project, although the habit is hard to keep for years.

  Anyway, it's your life and you own your destiny but I encourage you to take the first step just like I do!

Good luck! It's your life.

Volunteering Abroad? Are you serious?

Volunteering Abroad?

 Think before you snap that selfie.

  When it comes to volunteering abroad, most of us often ask the following questions. 

• Why abroad?
• Why spending money?
• What attitude we keep?

  Before answering the questions above, it's necessary to premise the golden circle of social enterprise(SE), to be more specific, the SE in Taiwan. Here is the chart what the basic principle of SE looks like.

  General speaking, we hope we can combine the advantage of both traditional business and nonprofit sector like government public sector. That is to say, maximizing commercial nonprofits and meeting the sustainable are SE's priority in terms of why.

  However, here is the catch. How can we achieve that goal by starting a SE startup? The answer is probably impossible from most of Taiwan founder's experience since SEs are always small business. One of the reasons may be that SEs focus on social responsibility rather than profit. But, do not forget the word "enterprises" is included in the SE. Therefore, we still need to balance the responsibility and profit.

  What Taiwan SEs' types of company are as below.

So, why abroad?

  People always care about relationship, and volunteering abroad may help them to build the intense emotion with the citizen than in Taiwan since we're too familiar with our land in terms of desensitizing to concern overuse. Take my personal experience, for example, I attended twice volunteering abroad with ELIV. We went to Cambodia, cooperated with residents to build Bahay Kubo, the local traditional house. It turns out, we have the strong connection since we not only built the house but also the tie during the construction.  Hence, it may be a good choice for people to find a new way to travel around rather than a tourist.

Secondly, why spending money?

  There're many ways that you can contribute to the world. Donating money, being a volunteer, or being a full-time inventor. Then, let's talk about being a volunteer. To be more specific, volunteering abroad or "Voluntourism". We all need to spend money on tourism. On the other hand, it's reasonable that we expend on Voluntourism including flight, accommodation, meal, and administration fee for the company that organizes the trip. Moreover, we also need to pay the administration fee for the travel agency when it comes to group travel, don't we?

Last but not least, what attitude we keep?

  People often possess different opinions on what attitude we keep. Altruism, Atonement, or show off on social media? What we suggest is that just show people the real you but not too much. Voluntourism is like a double-edged knife in terms of advantages coexist with disadvantages. To sum up, some people will agree with you while the opposites will fight your behavior. Maybe we can just enjoy the trip like we always do during the tourism and Voluntourism, of course.