|||

think of the tech industry as being built on an ever-increasing number of assumptions: that you know what a computer is, that saying enter your Wi-Fi password” means something to you, that you understand what an app is, that you have the desire to manage your Bluetooth device list, that you’ll figure out what USB-C dongles you need, and on and on

think of the tech industry as being built on an ever-increasing number of assumptions: that you know what a computer is, that saying “enter your Wi-Fi password” means something to you, that you understand what an app is, that you have the desire to manage your Bluetooth device list, that you’ll figure out what USB-C dongles you need, and on and on.
Lately, the tech industry is starting to make these assumptions faster than anyone can be expected to keep up. And after waves of privacy-related scandals in tech, the misconceptions and confusion about how things works are both greater and more reasonable than ever. — https://www.theverge.com/2019/1/6/18170272/everything-is-too-complicated-2019
Up Next Next → design not for what we expect to see, but for what we actually believe we’re seeing https://www.typography.com/blog/turning-type-sideways ← Previous The Wall Street Journal reports that Facebook had begun working on a feature that would encourage users of opposing political beliefs to interact in a more positive way https://www.theverge.com/2018/12/23/18154111/facebook-common-grounds-feature-conservative-bias-concerns-shelved-joel-kaplan
Latest posts
▵  Elon Musk attempts to explain Twitter to normal people in court
▵  TED and YouTube launch global climate initiative
▵  Embracing multilingualism to enhance complexity sensitive research
▵  The ‘Amazon effect’ is flooding a struggling recycling system with cardboard
▵  John Kerry, Arnold Schwarzenegger wage ‘World War Zero’ on climate change
▵  Combining semantic and term frequency similarities for text clustering
▵  Bad RCS implementations are creating big vulnerabilities, security researchers claim
▵  2019 Tech Trends Report — The Future Today Institute
▵  Medical Crowdsourcing: Harnessing the “Wisdom of the Crowd” to Solve Medical Mysteries
▵  Report Launch - OPSI Primer on AI for the Public Sector
▵  “Level Up”: Leveraging Skill and Engagement to Maximize Player Gameplay
▵  Beautiful is Good and Good is Reputable: Multiple-Attribute Charity Website Evaluation and Initial Perceptions of Reputation Under the Halo Effect
▵  Piret Tõnurist & Systems Change: how to get started and keep going?
▵  IBM expert Tamreem El Tohamy on bridging the skills gap in Africa
▵  The changing work of innovation for public value and social impact
▵  Former Go champion beaten by DeepMind retires after declaring AI invincible
▵  What part of “viral” content makes platforms want to encourage its spread?
▵  MTA floods NYC subway entrance because ‘climate change is real’
▵  The Demon Haunted World
▵  How to recognize AI snake oil
▵  A Systemic View of Research Impact
▵  Nobel Economics Prize Goes to Pioneers in Reducing Poverty
A brief, informal guide to doing grounded theory
▵  Adam Savage on Lists, More Lists, and the Power of Checkboxes
▵  Systems Practice, Abridged
▵  Fukushima reinvents itself with a $2.7 billion bet on renewables
▵  How Tesla’s first Gigafactory is changing Reno, Nevada
▵  “This is Sticking with Them:” Professor Explores Benefits of Model-Based Learning
Keeping the buzz in buzzwords
▵  README.txt: Introducing Into the Dataverse, the article series
▵  A ton of people received text messages overnight that were originally sent on Valentine’s Day