TLDR 149

Too Long; Didn't Read Issue 149

Published: 2018-05-11 • 📧 Newsletter

Welcome to Issue 149. Sticking the landing.

This week I posted the following:

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🔖 Key Takeaways


📺 Watch

Neil deGrasse Tyson, MKBHD, and Chuck Nice briefly talking about the differences between artificial intelligence (AI) and machine learning.

This is a topic that had a lot of overlap...and a lot of incorrect information over the last week. Despite all of this, it is a very important set of topics that we need to understand.


📚 Read

This week we had Google I/O 2018, the developer conference for Google and their varied projects.

Very early in the keynote, they shared some of the latest advancements in artificial intelligence for their Google Assistant. This new tech is currently being called Google Duplex. Google Assistant is their version of a voice automated assistant...like what you find with Apple's Siri.

Duplex will allow you to tell your assistant to schedule an appointment for you, reserve a table, or do some other task that involves calling in to a human and talking. Once you ask your device to handle this, Duplex will call the restaurant/business and talk to the person that answers and schedule this for you. Once they've completed this task, Duplex will notify you, and add it to your calendar.

Super cool or super creepy? I'll have more info soon in an upcoming post. Learn more here. Also check out this reflection from MKBHD.


Very interesting long read on the challenges of the future as gigantic corporations scoop up all of the data and information about us.

The takeaway that has me thinking this past week:

Taming technological power will require changing how we think about technology. It will require moving beyond Panglossian views of technology as neutral, apolitical, or purely virtuous, and seeing it as a form of power. This focus on power highlights the often subtle ways that technology creates relationships of control and domination. It also raises a profound challenge to our modern ethic of technological innovation.


Teach kids creativity. Ultimately, machines will be better at coding.

Interesting view from Tom Hulme of Google Ventures arguing that teaching kids to code isn't the future proofed ticket to future jobs as framed by many people. Deep machine learning will likely automate the writing of code relatively quickly. Creativity is going to be far more important in a future where software can code better than we can.

Hulme indicates:

We need to rethink the way we teach our children and the things we teach them. Creativity will be increasingly be the defining human talent. Our education system should emphasize the use of human imagination to spark original ideas and create new meaning. It's the one thing machines won't be able to do.


I'm a big supporter and proponent of Creative Commons and all of the work they oversee. This past year was a big year for the global community that breaks down the walls that keep people from sharing their knowledge.

The 2017 annual report shares data, news, and stories from the community from the past year.

One of my favorite initiatives is their CC Certificate program in which they teach people about the basics of the licenses, copyright law, and the tools you can utilize.


Over the past year I've been writing and researching a lot about filter bubbles, echo chambers, and critical media literacy. Across many of these stories, there is this belief that people should just "break free" from your echo chamber and seek other perspectives.

This long read by C Thi Nguyen reminded me that it can be difficult for people to break free from these bubbles and accept other ideologies.

He notes:

First you don't hear other views. Then you can't trust them. Your personal information network entraps you just like a cult.

I definitely recommend reading through to make sense of the "intellectual judo" that happens in groups.


🔨 Do

How to be an award-winning storyteller

Some tips on how to be an award-winning storyteller from the group at The Moth website.


🤔 Consider

"Reason has always existed, but not always in a reasonable form." — Karl Marx

This week we focus on sticking the landing. Marx's observation about reason captures a tension central to education and technology—the capacity for rational thought has always been present in humanity, but its expression can be distorted, corrupted, or weaponized. In educational spaces, this reminds us that critical thinking isn't just about having reasoning skills, but about creating conditions where reason can take reasonable forms. Echo chambers, algorithmic bias, and technological systems that concentrate power all represent reason existing in unreasonable forms—the tools are rational, but their deployment serves domination rather than liberation.


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Part of the 📧 Newsletter archive documenting digital literacy and technology.