I rarely watch 24-minute online videos all the way through, but this is excellent and well worth everyone’s time. No matter what your preconceptions are about climate change, or your political persuasion.
The article with the above embedded video is from five years ago, but someone shared it on my Twitter timeline and it reminded me of something. When I taught my History students about the Industrial Revolution it blew their minds that different parts of the country could be, effectively, on different ‘timezones’ until the dawn of the railways.
It just goes to show how true it is that first we shape our tools, and then they shape us.
“Uncertainty is one of the biggest elements that contributes to our experience of stress,” said Lynn Bufka, the senior director of Practice, Research, and Policy at the American Psychological Association. “Part of what we try to do to function in our society is to have some structure, some predictability. When we have those kinds of things, life feels more manageable, because you don’t have to put the energy into figuring those things out.”
Emily Baron Cadloff (VICE)
A short but useful article on why despite having grand plans, it’s difficult to get anything done in our current situation. We can’t even plan holidays at the moment.
The industrialized world is so full of human faces, like in ads, that we forget that it’s just ink, or pixels on a computer screen. Every time our ancestors saw something that looked like a human face, it probably was one. As a result, we didn’t evolve to distinguish reality from representation. The same perceptual machinery interprets both.
Jim Davies (Nautilus)
A useful reminder that our brain contains several systems, some of which are paleolithic.
The Wright Flier could only go 200 meters, and the Rocket Belt could only fly for 21 seconds. But the Flier was a breakthrough of principle. There was no reason why it couldn’t get much better, very quickly, and Blériot flew across the English Channel just six years later. There was a very clear and obvious path to make it better. Conversely, the Rocket Belt flew for 21 seconds because it used almost a litre of fuel per second – to fly like this for half a hour you’d need almost two tonnes of fuel, and you can’t carry that on your back. There was no roadmap to make it better without changing the laws of physics. We don’t just know that now – we knew it in 1962.
A useful post about figuring out whether something will happen or be successful. The question is “what would have to change?”
The case went to court after the woman refused to delete photographs of her grandchildren which she had posted on social media. The mother of the children had asked several times for the pictures to be deleted.
The GDPR does not apply to the “purely personal” or “household” processing of data. However, that exemption did not apply because posting photographs on social media made them available to a wider audience, the ruling said.
“With Facebook, it cannot be ruled out that placed photos may be distributed and may end up in the hands of third parties,” it said.
The woman must remove the photos or pay a fine of €50 (£45) for every day that she fails to comply with the order, up to a maximum fine of €1,000.
I think this is entirely reasonable, and I’m hoping we’ll see more of this until people stop thinking they can sharing the personally identifiable information of others whenever and however they like.
– Environment (E) – are the reasons its not happening outside of the control of the people you identified in Step 1? Do they have the resources, the tools, the funding? Do their normal objectives mean that they have to prioritise other things? Does the prevailing organisational culture work against achieving the goals?
– Skills (S) – Are they aware of the tasks they need to do and enabled to do them?
– Knowledge (K) – is the knowledge they need available to them? It could either be information they have to carry around in their heads, or just be available in a place they know about.
– Motivation (Mo) – Do they have the will to carry it out?
The last three (S,K, Mo) work a little bit like the fire triangle from that online fire safety training you probably had to do this year. All three need to be present for new practice to happen and to be sustainable.
Chris Thomson (Jisc)
In this post, Chris Thomson, who I used to work with at Jisc, challenges the notion that training is about getting people to do what you want. Instead, this ESKiMO approach asks why they’re not already doing it.
Within Scrum, estimates have a primary purpose – to figure out how much work the team can accomplish in a given sprint. If I were to grant that Sprints were a good idea (which I obviously don’t believe) then the description of estimates in the official Scrum guide wouldn’t be a problem.
The problem is that estimates in practice are a bastardization of reality. The Scrum guide is vague on the topic so managers take matters into their own hands.
Lane Wagner (Qvault)
I’m a product manager, and I find it incredible that people assume that ‘agile’ is the same as ‘Scrum’. If you’re trying to shoehorn the work you do into a development process then, to my mind, you’re doing it wrong.
As with the example below, it’s all about something that works for your particular context, while bearing in mind the principles of the agile manifesto.
The downside of all those nice methods and tools is that you have to apply them, which can be of course, postponed as well. Thus, the most important step is to integrate your tool or todo list in your daily routine. Whenever you finish a task, or you’re thinking what to do next, the focus should be on your list. For example, I figured out that I always click on one link in my browser favourites (a news website) or an app on my mobile phone (my email app). Sometimes I clicked hundred times a day, even though, knowing that there can’t be any new emails, as I checked one minute ago. Maybe you also developed such a “useless” habit which should be broken or at least used for something good. So I just replaced the app on my mobile and the link in my browser with my Remember The Milk app which shows me the tasks I have to do today. If you have just a paper-based solution it might be more difficult but try to integrate it in your daily routines, and keep it always in reach. After finishing a task, you should tick it in your system, which also forces you to have a look at the task list again.
Some useful pointers in this post, especially at the end about developing and refining your own system that depends on your current context.
The focus should be on the insistence of excellence, both from yourself and from those around you. The wisdom from experience. The work ethic. The drive. The dedication. The sacrifice. Jordan hits on all of those. And he even implies that not everyone needed the “tough love” to push them. But that’s glossed over for the more powerful mantra. Still, it doesn’t change the fact that not only are there other ways to tease such greatness out of people — different people require different methods.
M.G. Siegler (500ish)
I like basketball, and my son plays, but I haven’t yet seen the documentary mentioned in this post. The author discusses Michael Jordan stating that “Winning has a price. And leadership has a price.” However, he suggests that this isn’t the only way to get to excellence, and I would agree.
So said my namesake Douglas Adams. In fact, he said lots of wise things about technology, most of them too long to serve as a title.
I’m in a weird place, emotionally, at the moment, but sometimes this can be a good thing. Being taken out of your usual ‘autopilot’ can be a useful way to see things differently. So I’m going to take this opportunity to share three things that, to be honest, make me a bit concerned about the next few years…
Attempts to put microphones everywhere
In an article for Slate, Shannon Palus ranks all of Amazon’s new products by ‘creepiness’. The Echo Frames are, in her words:
A microphone that stays on your person all day and doesn’t look like anything resembling a microphone, nor follows any established social codes for wearable microphones? How is anyone around you supposed to have any idea that you are wearing a microphone?
When we’re not talking about weapons of mass destruction, it’s not the tech that concerns me, but the context in which the tech is used. As Palus points out, how are you going to be able to have a ‘quiet word’ with anyone wearing glasses ever again?
It’s not just Amazon, of course. Google and Facebook are at it, too.
With the exception, perhaps, of populist politicians, I don’t think we’re ready for a post-truth society. Check out the video above, which shows Chinese technology that allows for ‘full body deepfakes’.
The video is embedded, along with a couple of others in an article for Fast Company by DJ Pangburn, who also notes that AI is learning human body movements from videos. Not only will you be able to prank your friends by showing them a convincing video of your ability to do 100 pull-ups, but the fake news it engenders will mean we can’t trust anything any more.
If you clicked on the ‘super-secret link’ in Sunday’s newsletter, you will have come across STEALING UR FEELINGS which is nothing short of incredible. As powerful as it is in showing you the kind of data that organisations have on us, it’s the tip of the iceberg.
Kaveh Waddell, in an article for Axios, explains that brains are the last frontier for privacy:
“The sort of future we’re looking ahead toward is a world where our neural data — which we don’t even have access to — could be used” against us, says Tim Brown, a researcher at the University of Washington Center for Neurotechnology.
This would lead to ‘neuromarketing’, with advertisers knowing what triggers and influences you better than you know yourself. Also, it will no doubt be used for discriminatory purposes and, because it’s coming directly from your brainwaves, short of literally wearing a tinfoil hat, there’s nothing much you can do.
This quotation from the enigmatic Russell Brand seemed appropriate for the subject of today’s article: the impact of so-called ‘deepfakes’ on everything from porn to politics.
First, what exactly are ‘deepfakes’? Mark Wilson explains in an article for Fast Company:
In early 2018, [an anonymous Reddit user named Deepfakes] uploaded a machine learning model that could swap one person’s face for another face in any video. Within weeks, low-fi celebrity-swapped porn ran rampant across the web. Reddit soon banned Deepfakes, but the technology had already taken root across the web–and sometimes the quality was more convincing. Everyday people showed that they could do a better job adding Princess Leia’s face to The Force Awakens than the Hollywood special effects studio Industrial Light and Magic did. Deepfakes had suddenly made it possible for anyone to master complex machine learning; you just needed the time to collect enough photographs of a person to train the model. You dragged these images into a folder, and the tool handled the convincing forgery from there.
As you’d expect, deepfakes bring up huge ethical issues, as Jessica Lindsay reports for Metro. It’s a classic case of our laws not being able to keep up with what’s technologically possible:
With the advent of deepfake porn, the possibilities have expanded even further, with people who have never starred in adult films looking as though they’re doing sexual acts on camera.
Experts have warned that these videos enable all sorts of bad things to happen, from paedophilia to fabricated revenge porn.
This can be done to make a fake speech to misrepresent a politician’s views, or to create porn videos featuring people who did not star in them.
It’s not just video, either, with Google’s AI now able to translate speech from one language to another and keep the same voice. Karen Hao embeds examples in an article for MIT Technology Review demonstrating where this is all headed.
The results aren’t perfect, but you can sort of hear how Google’s translator was able to retain the voice and tone of the original speaker. It can do this because it converts audio input directly to audio output without any intermediary steps. In contrast, traditional translational systems convert audio into text, translate the text, and then resynthesize the audio, losing the characteristics of the original voice along the way.
The impact on democracy could be quite shocking, with the ability to create video and audio that feels real but is actually completely fake.
However, as Mike Caulfield notes, the technology doesn’t even have to be that sophisticated to create something that can be used in a political attack.
There’s a video going around that purportedly shows Nancy Pelosi drunk or unwell, answering a question about Trump in a slow and slurred way. It turns out that it is slowed down, and that the original video shows her quite engaged and articulate.
In musical production there is a technique called double-tracking, and it’s not a perfect metaphor for what’s going on here but it’s instructive. In double tracking you record one part — a vocal or solo — and then you record that part again, with slight variations in timing and tone. Because the two tracks are close, they are perceived as a single track. Because they are different though, the track is “widened” feeling deeper, richer. The trick is for them to be different enough that it widens the track but similar enough that they blend.
This is where blockchain could actually be a useful technology. Caulfield often talks about the importance of ‘going back to the source’ — in other words, checking the provenance of what it is you’re reading, watching, or listening. There’s potential here for checking that something is actually the original document/video/audio.
Ultimately, however, people believe what they want to believe. If they want to believe Donald Trump is an idiot, they’ll read and share things showing him in a negative light. It doesn’t really matter if it’s true or not.
‘The Next Backlash Is Going to Be Against Technology’(Foreign Policy) — “We’ve seen the backlash against globalization. If anything, the dislocations and the adverse labor market implications of artificial intelligence, automation, new digital technologies—the impacts of those will be even larger.”