The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.

This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/
A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/
https://t.co/uAORIJ5BYX 4/
https://t.co/yOGZ0pLfHG 5/
https://t.co/Tj1zVkoIFG 6/
https://t.co/uUXCFjXxHg 7/
And this one would be hilarious if not recommended so massively to people who are the most vulnerable to conspiracies
https://t.co/EKed0B1XhD
8/
@nasa's @mlthaller nicely shows in 3 minutes why the earth is round and wonders: Why do so many people believe in flat earth? But the conspiracy is promoted by YouTube 100,000,000s of times, so I'm actually surprised that *so few* people fall for it 9/

https://t.co/yZpqdiJgsR
NBA star @KyrieIrving fell for it and explained that he was convinced both by Instagram and YouTube recommendations 10/

https://t.co/cqYz3SbDO8
So basically we have the two best AIs of the world, on Instagram and YouTube, competing to convince people that the earth is flat. Because it yields large amounts of watch time, and watch time yields ads. This is a #raceToTheBottom 11/
Flat Earth is not a "small bug". It reveals that there is a structural problem in Google's and Facebook's AIs: they exploit weaknesses of the most vulnerable people, to make them believe the darnedest things 12/
Another real-life harm of this conspiracy promoted by AI: in Nigeria, Boko Haram used the flat earth theory to motivate the killings of more than 600 geography teachers 😰 13/

https://t.co/M2mVtZRut9
https://t.co/myxPsrhlKa
More info on the link between Boko Haram and flat earth in this detailed @latimes article 14/
Full @latimes article here:
https://t.co/M2mVtZRut9
15/
How do we know if harmful videos get promoted by the AI? To monitor that, I created https://t.co/0RjD2PtTvV, a site that scans YouTube recommendations daily. If harmful videos get recommended by the AI from many channels, they will appear at the top of the list there. 16/
For now, it is available in English for YouTube yet, but with the help of universities and @HumaneTech_, it will soon cover more languages and platforms 17/
The real danger of AI is not that it becomes "self-conscious". It's that we trust it too much and slowly become imbeciles

Flat-earthers are the canaries in the coalmine /18
I've seen some people state that: "canaries are only a small fraction of our users!"

I think they're missing the point. 19/
"Ban all the canaries from the coal mine!" also misses the point.

With AI in charge of our information, we're facing a brand new, existential problem that concerns all of us. We need to develop tools to understand it better. 20/
One more key to understand this: this @KELLYWEILL's article shows that some people spent *days* on YouTube after being converted to flat earth

From the algorithm's point of view, flat earth is a gold mine.

Full article: https://t.co/LPjCKpbwXj

21/
Also fascinating in this article is that Logan Paul was a speaker at a Flat-Earth conference, where he said "I’m coming out of the Flat Earth closet". He has 18,610,154 followers on YouTube, mostly pre-teens and teens

https://t.co/LPjCKpbwXj 22/

More from Tech

A common misunderstanding about Agile and “Big Design Up Front”:

There’s nothing in the Agile Manifesto or Principles that states you should never have any idea what you’re trying to build.

You’re allowed to think about a desired outcome from the beginning.

It’s not Big Design Up Front if you do in-depth research to understand the user’s problem.

It’s not BDUF if you spend detailed time learning who needs this thing and why they need it.

It’s not BDUF if you help every team member know what success looks like.

Agile is about reducing risk.

It’s not Agile if you increase risk by starting your sprints with complete ignorance.

It’s not Agile if you don’t research.

Don’t make the mistake of shutting down critical understanding by labeling it Bg Design Up Front.

It would be a mistake to assume this research should only be done by designers and researchers.

Product management and developers also need to be out with the team, conducting the research.

Shared Understanding is the key objective


Big Design Up Front is a thing to avoid.

Defining all the functionality before coding is BDUF.

Drawing every screen and every pixel is BDUF.

Promising functionality (or delivery dates) to customers before development starts is BDUF.

These things shouldn’t happen in Agile.

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.