After the Fact – The New Yorker

After the Fact – The New Yorker

Most of what is written about truth is the work of philosophers, who explain their ideas by telling little stories about experiments they conduct in their heads, like the time Descartes tried to convince himself that he didn’t exist, and found that he couldn’t, thereby proving that he did.

Michael P. Lynch is a philosopher of truth. His fascinating new book, “The Internet of Us: Knowing More and Understanding Less in the Age of Big Data,” begins with a thought experiment:

“Imagine a society where smartphones are miniaturized and hooked directly into a person’s brain.”

As thought experiments go, this one isn’t much of a stretch. (“Eventually, you’ll have an implant,” Google’s Larry Page has promised, “where if you think about a fact it will just tell you the answer.”)

Now imagine that, after living with these implants for generations, people grow to rely on them, to know what they know and forget how people used to learn—by observation, inquiry, and reason.

Then picture this: overnight, an environmental disaster destroys so much of the planet’s electronic-communications grid that everyone’s implant crashes. It would be, Lynch says, as if the whole world had suddenly gone blind. There would be no immediate basis on which to establish the truth of a fact. No one would really know anything anymore, because no one would know how to know.

I Google, therefore I am not.

IBM System/360 at the IRS – 1966 -1967 Computer History Archives – YouTube

https://www.youtube.com/watch?v=JaRzExHoUl0

Vintage 1966 film excerpt from the IRS showing how an IBM System/360 mainframe system is used in their tax processing data center. About 4 mins long, color and narration.

Nice view of a 1960’s era data center and the System/360 master console. This excerpt focuses on the System/360.

The full version of this film is called “Right on the Button” and is also available on YouTube. (The model numbers of the equipment seem to have been taped over by the IRS film maker, but it is clearly the IBM 360, and its tape, disk and punch card peripherals)

IBM System/360 at the IRS – 1966 -1967 | Computer History Archives

Bookling – Track Your Reading Habits — Mister Bumbles Interactive

Bookling – Track Your Reading Habits — Mister Bumbles Interactive

Introducing Bookling, a mobile app which helps you keep track of your reading habits and motivates you to read more. Bookling lets you bookmark multiple books, track your progress, setup reminders and help you achieve your reading goals.

Storyful’s Art and Science of Real-Time Discovery – Feedly

Storyful’s Art and Science of Real-Time Discovery – Feedly

“We discover and verify the content from social media using our own technology and open source technology [editor’s note: including feedly!], monitoring the social web in real time,” explained Derek Bowler, Storyful senior journalist and special projects lead, who also helps lead the company’s internal work flows, processes, and tools.

Storyful’s ability to work together across timezones and continents is central to the value that they create. They have global offices in Ireland, Hong Kong, Australia, and New York, and each team works together in real time. “Collaboration is at the core of Storyful,” says Bowler.

Organize what you are monitoring into feedly Collection.

Storyful creates a feedly Collection for every story they monitor like 2016 Decision, funny videos, cat videos, ISIS, and more. It’s an easy way for them to follow multiple sources on the same topic in one place. And when they seem a Collection updating with many new articles, it often means that a new story might be breaking.

Create a diverse mix of sources with your Collections

When Storyful creates a topic to monitor, they carefully hand pick sources that include as many known YouTube accounts from that particular location, Facebook feeds from active posters, key Twitter accounts, and any relevant sub-reddits. They ensure that they have at least one feed from each channel, often many more.

“That’s a one-stop shop because a lot of things we see happening in social media are encompassed in those channels,” says Bowler. “We knew a year ago that if we were monitoring those four major social platforms effectively, we were not able to monitor the topic effectively. The best thing about feedly is that it allows you to bring it all to one place.”

When Storyful editors start to see some feeds updating with increasing velocity, they know that something big is breaking.

Create an archive

One way Storyful uses feedly is a bit unconventional: They use it as a YouTube archive that is easy for them to search through. They have over a thousand YouTube videos that they monitor. By connecting the YouTube feed to their feedly, it becomes easy for them see what is breaking, but also use search terms to find a relevant video.

In particular, Storyful likes to use:

  • FB-RSS – This tool creates feeds from Facebook pages.
  • IFTTT + Slack – Storyful relies on Slack for their team communication. So, they create Google Alerts that they import into feedly. And from feedly, they use IFTTT to push breaking articles into their Slack.

What do you use to monitor every day news?
Are their tools, tips, or tricks that you or your organization use to be the first to know something?

Learning machine learning — Benedict Evans

Learning machine learning — Benedict Evans

As has happened with many technologies before, AI is bursting out of universities and research labs and turning into product, often led by those researchers as they turn entrepreneur and create companies. Lots of things started working, the two most obvious illustrations being the progress for ImageNet and of course AlphaGo. And in parallel, many of these capabilities are being abstracted – they’re being turned into open source frameworks that people can pick up (almost) off the shelf. So, one could argue that AI is undergoing a take-off in practicality and scale that’s going to transform tech just as, in different ways, packets, mobile, or open source did.

This also means, though, that there’s a sort of tech Tourettes’ around – people shout ‘AI!’ or ‘MACHINE LEARNING!’ where people once shouted ‘OPEN!’ or ‘PACKETS!’. This stuff is changing the world, yes, but we need context and understanding. ‘AI’, really, is lots of different things, at lots of different stages. Have you built HAL 9000 or have you written a thousand IF statements?  

Back in 2000 and 2001 (and ever since) I spent a lot of my time reading PDFs about mobile – specifications and engineers’ conference presentations and technical papers – around all the layers of UMTS, WCDMA, J2ME, MEXE, WML, iAppli, cHTML, FeliCa, ISDB-T and many other things besides, some of which ended up mattering and some of which didn’t. (My long-dormant del.icio.us account has plenty of examples of both).

The same process will happen now with AI within a lot of the tech industry, and indeed all the broader industries that are affected by it. AI brings a blizzard of highly specialist terms and ideas, layered upon each other, that previously only really mattered to people in the field (mostly, in universities and research labs) and people who took a personal interest, and now, suddenly, this starts affecting everyone in technology. So, everyone who hasn’t been following AI for the last decade has to catch up.  

Web Trend Map (May 2009)

Web Trend Map – Test

(circa.  May 2009)

The Web Trend Map is a yearly publication by Information Architects Inc. (iA).

It maps the 333 leading Web domains and the 111 most influential Internet people onto the Tokyo Metro map.

Domains are carefully selected by the iA research team in Zürich and chosen through dialogue with map enthusiasts.

Each domain is evaluated based on traffic, revenue, age and the company that owns it.

The iA design team in Tokyo assigns these selected domains to individual stations on the Tokyo Metro map in ways that complement the characters of each.

For example, Twitter is located in Shibuya this year: Shibuya is the station with the biggest buzz.

Google is placed in the busiest, most highly trafficked train station in the world: Shinjuku.

The New York Times, the »Old Gray Lady«, is located in Sugamo—a shopping paradise for Tokyo’s grandmothers.

We grouped closely-associated websites and tried to make sure each individual domain is on a metro line that suits it, with close attention paid to the intersections.

As a result, the map produces a web of associations: some provocative, some curious, others satirically accurate.

Why Tokyo Metro? Because it works beautifully.

You can evaluate a domain based on its station’s height,width andposition.

Height: A station’s height represents its domain’s success. »Success« refers not only to traffic, but also revenue and trend.

Width: A station’s width represents the stability of the company behind its domain. However, not every large corporation has a large building.

Unless its domain has proven itself as a significant online component, its station remains thin.

Position: A station’s location on a metro line indicates the group it belongs to.

A station‘s position on the map—whether inside the main line, on the main line, or outside the main line—indicates whether it is a part of the tech establishment, a traffic hub, or an online suburb.