Athletic chef Jawed Halepota joins the show to talk fueling athletes and how he became the trusted cook for Marcus Smart and Jaylen Brown. In the second half, Greg Cassoli joins to debate who’s the Celtics’ MVP right now.
Theme parks have a way of transporting us to magical places, and sound is
crucial in maintaining the illusion. From the most action-packed
attractions to the background music playing between park areas, theme park
sound designers have thought of it all. In this episode, we speak to Joe
Herrington and Mike Fracassi, two Disney Imagineers who work to maintain
the magic for guests of Disney Parks.
Designer Craig Mod on how you can break free from the shackles of “attention slavery” and regain control over your powers of concentration.
The Long Now
Brian told the origins of his realizations about the "small here" versus the "big here" and the "short now" versus the "long now."
He noted that the Big Here is pretty well popularized now, with exotic restaurants everywhere, "world" music, globalization, and routine photos of the whole earth.
Instant world news and the internet has led to increased empathy worldwide.
But empathy in space has not been matched by empathy in time.
If anything, empathy for people to come has decreased.
We seem trapped in the Short Now.
The present generation enjoys the greatest power in history, but it appears to have the shortest vision in history. That combination is lethal.
Danny Hillis proposed that there’s a bug in our thinking about these matters—-about long-term responsibility.
We need to figure out what the bug is and how to fix it.
We’re still in an early, fumbling phase of doing that, like the period before the Royal Society in 18th-century England began to figure out science.
Tim O’Reilly gave an example of the kind of precept that can emerge from taking the longer-term seriously.
These days shoppers are often checking out goods (trying on clothes, etc.) in regular retail stores but then going online to buy the same goods at some killer discount price.
Convenient for the shopper, terrible for the shops, who are going out of business, hurting communities in the process.
The aggregate of lots of local, short-term advantage-taking is large-scale, long-term harm.
Hence Tim’s proposed precept, now spreading on the internet: "Buy where you shop."
Ie. When you shop online, buy there.
When you shop in shops, buy there.
Four simple words that serve as a reminder to head off accumulative harm.
Leighton Read observed that imagining the future is an acquired skill, and comes in stages.
An infant can’t imagine the next bottle, or plan for it.
A teenager can at most imagine the next six months, and only on a good day; on a rowdy Saturday night, Sunday morning is too remote to grasp.
For us adults the distant future is still unimaginable.
One thing that Leighton likes about the 10,000-year Clock project is that it lets you imagine a particular part of the very remote future—-the Clock ticking away in its mountain—-and then you can widen your scope from there, to include climate change over centuries, for example.
Alexander Rose suggested that we should collect examples where a small effort in the present pays off huge in the long term.
Tim O’Reilly would like to see us develop a taxonomy of such practices.
Brian’s talk Friday night at Fort Mason was a smashing affair.
Some 750 people were pried into the Herbst Pavillion, while 400-500 had to be turned away.
Eno evidently attracts the sweetest, brightest people—-everyone was polite and helpful and patient.
The only publicity for the lecture had been email forwarded among friends and posted on blogs, plus one radio show (Michael Krasny’s "Forum").
This week, the hosts welcome Mozilla’s Nick Nguyen, the VP of product for Firefox.
Maya gives us an overview of the work she’s doing with 18F on a set of standards that are improving the usability and accessibility of US government websites.
In this episode, Jeremy Thake talks to Ephraim Freed about his experiences deploying advanced digital workplace solutions as a consultant. Ephraim discusses the importance of profile information based on a blog post he wrote earlier this year on the strategies around personalization in the digital workplace.
Original video: https://soundcloud.com/hyperfishpodcast/how-profile-information-will-power-the-ai-of-the-digital-workplace-with-ephraim-freed
Downloaded by http://huffduff-video.snarfed.org/ on Wed, 01 Nov 2017 14:32:47 GMT Available for 30 days after download
The O’Reilly Design Podcast: Designing for the “six minds,” the importance of talking like a human, and the future of predictive AI.In this week’s Design Podcast, I sit down with John Whalen, chief experience officer at 10 Pearls, a digital development company focused on mobile and web apps, enterprise solutions, cyber security, big data, IoT, and cloud and dev ops. We talk about the “six minds” that underlie each human experience, why it’s important for designers to understand brain science, and what people really look for in a voice assistant.Here are some highlights:
Why it’s important for product designers to understand how the brain works
I think that by knowing a little bit more about the brain—what draws your attention, how you hold things in memory, how you make decisions, and how emotions can cloud those decisions…the constellation of all these different pieces helps us make sure we’re thinking like our audience and trying to discover their frame of…literally their frame of mind when they’re picking a product or service and using it.
The “six minds” that underlie each human experience
One is vision and attention. The second is memory and all your preconceived ideas and the ways you think the world works. The third is wayfinding—that’s your ability to move around in space, in this case, move around a virtual world. The fourth is language, so the ability to have different linguistic terms. Associated with that is the emotional content there. And, finally, all of that is in service of helping you make decisions and solve problems in your world.
What we look for in a voice-based assistant
We studied how a diverse group of people use Siri, Cortana, Alexa, and Google Assistant, and then we asked, "Well, which one would be your favorite to take home? Which was your personal preference?" A lot of people did pick Google Assistant, which made all kinds of sense because that one did the best at answering questions. But then the second most popular by a wide margin was Alexa from Amazon’s Echo—despite actually being the least successful at answering questions. So, that was intriguing to us and we kind of wondered why.
It turns out that the folks who picked Google Assistant often described what they were looking for from these systems as things like, "I just want the answer fast, just the facts. Give me the answer; I just want to know what’s happening." And some of the people who preferred Alexa said things like, "Well, it answered the question the way I asked it." Or, "I like that I can converse back and forth with it. It makes me feel like I’m speaking to a human." So, there are really humanistic qualities they gravitated to with Alexa.
…We can’t just go out and test our systems to be “percent correct” accurate, we also need to think about this human component. I think that’s the thing I wasn’t necessarily expecting to find from our study. We were curious about this humanistic quality, but we didn’t know how important it was.
How predictive should AI systems be…when does it become creepy?
In our study, we asked questions like, “How much would you like this to know about you?” For example, Amazon knows how often you’ve bought toothpaste, so it could probably predict if you’re running low on toothpaste. It could ask on a random Tuesday, "Gosh, Nikki, would you like some more toothpaste?" And you’re thinking, "How did it know? And where is it looking? And did it have a camera? And who else is in the room?" There are mathematical models that can predict these things quite well.
…There can be all kinds of ways that devices can augment your cognition—and we already do this; we’re already, in some ways, cyborgs, every time we use Google Maps or every time we Google a price to make a decision on choosing something. There are a lot of ways this works, and we are very comfortable with it now. Finding out the weather in advance is actually augmenting what we know, helping us make better decisions.
It can keep doing this; it’s just that we’re not used to it doing it in space and time, and we’re not used to it being as predictive. We’re used to asking it a question and then receiving the answer as opposed to it anticipating that you might need an answer.
I don’t know about you, but my phone feels like an extension of my brain. I can’t commit to an appointment without checking my calendar. There are to-do
> Play Episode 14: Tom Voelk
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