Monday, June 14, 2021

I’ll still be anti-social…

https://www.bespacific.com/an-illustrated-field-guide-to-social-media/

An Illustrated Field Guide to Social Media

Knight First Amendment Institute at Columbia University: “This field guide looks at social media that works on different “logics” than do Facebook, Twitter, or YouTube. It features communities that have tried consciously to use different models than surveillance capitalism and includes the work of collaborators in other countries and subcultures. No field guide would be complete without images Much as a field guide to birds helps us look more closely at the birds we encounter on a walk through our neighborhoods, Fiammetta Ghedinis remarkable illustrations in this field guide help us look at social media differently. The Institute published the illustrated guide in connection with “Reimagine the Internet,” a virtual conference about what the internet could and should become over the next decade…”





Worth reading, even if I don’t agree. So smart they’re dangerous? “We built ‘em, but we can’t control ‘em.”

https://www.hstoday.us/subject-matter-areas/infrastructure-security/perspective-why-strong-artificial-intelligence-weapons-should-be-considered-wmd/

PERSPECTIVE: Why Strong Artificial Intelligence Weapons Should Be Considered WMD





Another caution.

https://analyticsindiamag.com/correlation-causation-the-couple-that-wasnt/

Correlation & Causation: The Couple That Wasn’t

In ‘The Book of Why. The New Science of Cause and Effect’, authors Judea Pearl and Dana Mackenzie pointed out that machine learning suffers from causal inference challenges. The book said deep learning is good at finding patterns but can’t explain its relationship—a sort of black box. Big Data is seen as the silver bullet for all data science problems. However, the authors posit ‘data are profoundly dumb’ because it can only tell about an occurrence and not necessarily why it happened. Causal models, on the other hand, make up for the disadvantages that deep learning and data mining suffers from. Author Pearl, a Turing Awardee and the developer of Bayesian networks, thinks causal reasoning could help machines develop human-like intelligence by asking counterfactual questions.





Things I should think about.

https://thewalrus.ca/the-double-exploitation-of-deepfake-porn/

The Double Exploitation of Deepfake Porn

Discussions around deepfakes have focused on their political danger. But revenge porn and IP theft are the more pressing threats

A 2019 study by cybersecurity company Deeptrace Labs found that 96 percent of deepfakes involve sexually explicit scenes. There are thousands of clips in which the faces of celebrities, like Gal Gadot, Taylor Swift, Scarlett Johansson, Emma Watson, or even seventeen-year-old TikTok star Charli D’Amelio, have been superimposed onto the bodies of adult film stars.

Sex workers have long served as canaries in the online coal mine. From being at the forefront of technologies like payment processors for online transactions to confronting censorship like deplatforming and shadowbanning (the act of social media companies blocking a user or their content without informing them), internet porn is a predictor of emerging internet norms. Interestingly, performers I spoke to have no quarrel with the deepfaking itself, only with the unethical application and stealing source material.





Perspective.

https://venturebeat.com/2021/06/11/ai-dominated-scientific-output-in-recent-years-unesco-report-shows/

AI ‘dominated scientific output’ in recent years, UNESCO report shows

The United Nations Educational, Scientific, and Cultural Organization (UNESCO ) today unveiled its latest Science Report. The massive undertaking — this year’s report totals 762 pages, compiled by 70 authors from 52 countries over 18 months — is published every five years to examine current trends in science governance. This latest edition includes discussion of the rapid progress toward Industry 4.0 and, for the first time, a deep analysis of AI and robotics research around the globe.





Perspective.

https://www.infoworld.com/article/3621752/the-great-cloud-computing-surge.html

The great cloud computing surge

Driven in part by the pandemic, cloud computing adoption has reached new heights. These five articles take a close look at the implications.

We reached a big milestone in 2020: Cloud services revenue finally surpassed enterprise spending on data centers, according to the Synergy Research Group. One of the longest-running trends in IT – moving to the cloud – has been turbocharged, driven in part by a pandemic that pushed enterprises to avoid the logistical challenges and capital expense of deploying on prem.

But the endless capacity to add horsepower without provisioning your own infrastructure isn’t the biggest draw. Amazon Web Services, Microsoft Azure, and Google Cloud have become launchpads for the latest technology innovations, which developers can jump on to build innovative new applications. Machine learning libraries? Globally distributed databases? IoT platforms with all the bells and whistles? The big three clouds have ‘em all – ready, waiting, and API-accessible. It’s enough to make you wonder why you’d bother to build and maintain your own datacenter.





Might be amusing blown up to wall sized.

https://www.weforum.org/agenda/2021/06/map-internet-online-digital-countries/

A map of the online world in incredible detail

The internet is intangible, and because you can’t see it, it can be hard to comprehend its sheer vastness. As well, it’s difficult to gauge the relative size of different web properties. However, this map of the internet by Halcyon Maps offers a unique solution to these problems.

Inspired by the look and design of historical maps, this graphic provides a snapshot of the current state of the World Wide Web, as of April 2021.

View the giant full-size (20 MB) version of this map.





A unique response to ransomware.

https://dilbert.com/strip/2021-06-14



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