This blog is a direct follow up of Starship Is Still Not Understood, and is part of the series on popular misconceptions in space journalism. I think…Science upside for Starship
It does ring true…
It was by looking at the working class that I was able to draw the geographic contours of peripheral France. The problem with urbanists is that they often begin with geography to get to people. I did exactly the opposite. And when you do that you come to realize that the majority of the working class in the West live in places that do not count anymore, that no longer exist culturally. That is why much of my focus is on that issue.
What is interesting is that the Western working class is no longer at the forefront of the economic model, and ultimately it finds itself geographically relegated. The real estate market creates the conditions for the presence of the people that business needs to function, and today the working class lives in places that matter the least. It is this economic rupture that leads to a cultural rupture, and eventually a very, very strong political rupture.
While this link talks about Fortnite, it really speaks to a trend. Even if the fad of Fortnite passes, and another brand replaces it, the underlying trend will probably continue.
The sophistication of games, their free-form narrative structures, and the cost and ubiquity of devices are trends converging on a new reality — that games are becoming the new Social Networks. When you can chat with other players, share thrilling experiences, and integrate the game into your day wherever you are, it becomes clearer this is going to become a new language for players to connect through – the way conversations about TV shows were for a previous generation.
A new technology is integrating itself into the culture, and everything from society to the economy is going to be affected.
The game is an excuse to stay connected
The point of this article will be clear to anyone struggling to use new technology in current processes.
The article stops short of future predictions but the insights from the past are illuminating.
To become really transformative, Electricity required the reinvention of the the manufacturing process, worker skills, factory architecture and more. Just sticking an electric motor where a steam engine originally was, did very little.
The same way that replacing a typewriter with Email and Microsoft Word actually does very little in real terms.
Machine learns racial and gender biases embedded in human data.
Lets not assume AI will be evil or wise. AI see, AI do, like any monkey. At some point it may grow up and learn ‘good’ from ‘bad’ but thats debatable.
Machine learning algorithms are picking up deeply ingrained race and gender prejudices concealed within the patterns of language that humans commonly use, scientists say.
For instance, in the mathematical “language space”, words for flowers are clustered closer to words linked to pleasantness, while words for insects are closer to words linked to unpleasantness, reflecting common views on the relative merits of insects versus flowers.
The latest paper shows that some more troubling implicit biases seen in human psychology experiments are also readily acquired by algorithms. The words “female” and “woman” were more closely associated with arts and humanities occupations and with the home, while “male” and “man” were closer to maths and engineering professions.
And the AI system was more likely to associate European American names with pleasant words such as “gift” or “happy”, while African American names were more commonly associated with unpleasant words.
The Internet decentralised information. The Blockchain will decentralise transactions.
“a 1% transaction fee may not seem like much, but down a 15-step supply chain, it adds up. […] The decentralization that blockchain provides would change that, which could have huge possible impacts for economies in the developing world”
This has to be the most clear and lucid argument that I’ve read against worrying about AI taking over the world.
Sharp, concise and funny.
Automation, advanced robotics and software-driven technologies are ushering in a new era that will leave fewer opportunities for the developing world.
Perhaps the last 100 years was just a blip of centralized energy and personal transportation after all — looks like the next decade is reversing the two.
A brilliant talk with numbers, made at an Energy conference, on how the next 10 years wont be like the last 100.