Goodness is the only investment that never fails. | | | | | Who's pulling the strings? (Vanity Fair) | | | | | | “Goodness is the only investment that never fails.”
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| | rantnrave:// Where will we go?... Expanding yesterday's take on the feed and advertising: How will brands respond to the new climate in AMERICA? Almost all major brands have pro-social initiatives. What if those are in conflict with the policies our new administration are pursuing? What about the dark side of the rhetoric? You know what I'm talking about. The prejudice and exclusion hidden in new phrases. Would brands embrace those in subtle ways? Advertising is a form of communication... WTF... Media companies will see (or should see) much consolidation over the next few years. Marrying content and distribution or merging sub-scale plays. Many of those have news properties. Will the current environment have an impact on how they report? How they improve given current criticisms of mainstream media? What about music, film, books, and television? Will it effect those narratives? Some of our greatest commentaries have come from art. A lot of soul searching to be done. A lot of bravery needed. They must not back down and capitulate... In my lifetime, no matter what the disagreement, I cannot remember or did I feel that an administration was waging war with more than half the country. Until now. Looking for some upside for all of us. We better get some good f***ing art out of this whole thing. Music, television, books and movies. SUNDANCE 2018 is going to be PROZAC-dark and smart... A lot of my anger is misplaced. Today I misplacing it on the democratization of publishing... Selfies in 1920... I'd be happy if it's all been a simulation... Given the environment and administration picks. Any thoughts or pieces on U.S. intelligence community's possible involvement in getting LA PEN into office in FRANCE?... How does cable news vet political surrogates? Do surrogates or campaign managers always align with ideologies or just a job?... Like a child who runs into a room, turns the table over, pees on the floor and runs out... So many of you send emails to find out how I'm doing with rehab one year in from my heart surgery. I thank you. Good news: Heart rate is up to 140 on the elliptical for the first time since bypass. Bad news: Up to 210 watching cable news... Judging what someone's actions should be by what you would do is dangerous and stupid. Thinking narcissists change their nature to adapt to a situation is naive and wishful thinking... Lately, my job poisons my soul some days. Wading through the venom and despair takes a mental machete ... REDEF.com is looking for a technical lead to partner with me and the team on our future product and CMS. Full stack knowledge, a network of hires and freelancers, self-starter, and initiator. Please email [email protected]... Happy Birthday to CATHY KRIKORIAN. Love you very much. | | | - Jason Hirschhorn, curator |
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| | | i'm not afraid of zombies |
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| Like many populist leaders, Donald Trump skillfully exploited the media obsession for immediacy and page views. | | |
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| Brian Stelter's essay about the perils of "fake news:" He says it breeds confusion, and people in power benefit from confusion, so "refuse to be confused." | | |
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| Both parties are to blame and it has cost all of us a republic. | | |
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| We meet in Tokyo for his first ever major interview. | | |
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| It’s not about designing space. It’s about designing people through space. | | |
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| For the past two decades, the website LetsRun.com has straddled the lines between gossip, investigative reporting, and hardcore training advice, angering Nike, USA Track and Field, and traditional media in the process. | | |
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| With all the talk of building walls, it seems to me that technology has actually been rapidly tearing down walls. Besides your passport, what really defines your nationality these days? Is it where you were live? Where you work? The language you speak? The currency you use? | | |
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| The incredible story of Dr. Larry Brilliant, who helped eradicate the worst disease in history. | | |
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| Cathy O'Neil, a data scientist, examines the ways in which we put our trust in data we don't understand. | | |
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| From active blood monitoring to the war on sugar, here are the projects that could extend the horizon of human longevity in the next ten years. | | |
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| With the impending release of Apple’s AirPods (not to be confused with the inexpensive wired EarPods) we are entering the era of wireless earbuds. And once again, while Apple is not the first to a market, it has brought attention to the category. | | |
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| Soon after terrorist attacks killed 130 people in Paris last year, Donald Trump faced sharp criticism for saying the United States had “no choice” but to close down some mosques. Two days later, Trump called in to a radio show run by a friendly political operative who offered a suggestion. | | |
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| Mobile means that, for the first time, pretty much everyone on earth will have a camera, taking vastly more images than were ever taken on film (' How many pictures?'). This feels like a profound change on a par with, say, the transistor radio making music ubiquitous. Then, the image sensor in a phone is more than just a camera that takes pictures - it’s also part of new ways of thinking about mobile UIs and services ('Imaging, Snapchat and mobile'), and part of a general shift in what a computer can do ('From mobile first to mobile native'). Meanwhile, image sensors are part of a flood of cheap commodity components coming out of the smartphone supply chain, that enable all kinds of other connected devices - everything from the Amazon Echo and Google Home to an August door lock or Snapchat Spectacles (and of course a botnet of hacked IoT devices). When combined with cloud services and, increasingly, machine learning, these are no longer just cameras or microphones but new endpoints or distribution for services - they’re unbundled pieces of apps. ('Echo, interfaces and friction') This process is only just beginning - it now seems that some machine learning use cases can be embedded into very small and cheap devices. You might train an ‘is there a person in this image?’ neural network in the cloud with a vast image set - but to run it, you can put it on a cheap DSP with a cheap camera, wrap it in plastic and sell it for $10 or $20. These devices will let you use machine learning everywhere, but also let machine learning watch or listen everywhere. So, smartphones and the smartphone supply chain are enabling a flood of UX and device innovation, with machine learning lighting it all up. However, I think it’s also worth thinking much more broadly about what computer vision in particular might now mean - thinking about what it might mean that images and video will become almost as transparent to computers as text has always been. You could always search text for ‘dog’ but could never search pictures for a dog - now you’ll be able to do both, and, further, start to get some understanding of what might actually be happening. We should expect that every image ever taken can be searched or analyzed, and some kind of insight extracted, at massive scale. Every glossy magazine archive is now a structured data set, and so is every video feed. With that incentive (and that smarthone supply chain) far more images and video will be captured. So, some questions for the future: * Every autonomous car will, necessarily, capture HD 360 degree video whenever it’s moving. Who owns that data, what else can you do with it beyond driving and how do our ideas of privacy adjust? * A retailer can deploy cheap commodity wireless HD cameras thoughout the store, or a mall operator the mall, and finally know exactly what track every single person entering took through the building, and what they looked at, and then connect that to the tills for purchase data. How much does that change (surviving) retail? * What happens to the fashion industry when half a dozen static $100 cameras can tell you everything that anyone in Shoreditch wore this year - when you can trace a trend through social and street photography from start to the mass-market, and then look for the next emerging patterns? * What happens to ecommerce recommendations when a system might be able to infer things about your taste from your Instagram or Facebook photos, without needing tags or purchase history - when it can see your purchase history in your selfies? Online retailers have been extremely good at retail as logistics, but much less good at retail as discovery and recommendation - much less good at showing you something you didn’t know you might like (link). I sometimes compare Amazon to Sears Roebuck a century ago - they let you buy anything you could buy in a big city, but they don’t let you shop the way you can in a big city. (I think this is also a big reason why ebook sales have flatlined - what do you buy?) Now, suppose you buy the last ten years’ issues of Elle Decoration on eBay and drop them into just the right neural networks, and then give that system a photo of your living room and ask which lamps it recommends? All those captioned photos, and the copy around them, are training data. And yet, if you don’t show the user an actual photo from that archive, just a recommendation based on it, you probably don’t need to pay the original print publisher itself anything at all. (Machine learning will be fruitful grounds for IP lawyers.) We don’t have this yet, but we know, pretty much, how we might do it. We have a roadmap to recognize some kind of preferences, automatically, at scale. The key thing here is that the nice attention-grabbing demos of computer vision that recognize a dog or a tree, or a pedestrian, are just the first, obvious use cases for a fundamental new capability - to read images. And not just to read them the way humans can, but to read a billion and see the patterns. Among many other things, that has implications for a lot of retail, including parts not really affected by Amazon, and indeed for the $500bn spent every year on advertising, Really, though, we don't know what all the implications might be. I've suggested a few of the crass, commercial possibilities that come out of this, but there are plenty of others. Science has already overturned some Old Master attributions and created others - might we find, or unfind, a Rembrandt? Will we transcribe the Cairo Geniza in a decade instead of a century? When we can turn images into data, we’ll find lots of sets of images that we never really thought of as data before, and lots of problems that didn't look like image recognition problems. | | |
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| Mike Pence’s ascent to the second most powerful position in the U.S. government is a tremendous coup for the radical religious right. | | |
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| Next-generation prosthetics are pushing cybathletes to the point where they can outperform the able-bodied. | | |
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| Adherants of the latest fad diet say it can ward off a host of modern diseases-but think twice about buying that next paleo product. | | |
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| Disillusioned college grads find a lucrative niche with a site that stokes the alt-right and plays fast and loose with facts. | | |
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| Six women kickstart the convo. | | |
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| The legendary and controversial statesman criticizes the Obama Doctrine, talks about the main challenges for the next president, and explains how to avoid war with China. | | |
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| Christian Pulisic is well on his way to becoming America’s first world-class soccer player. Is he an outlier? Or a sign of things to come? | | |
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| The Parisian-born face painter is bringing her unique brand of artistry to the beauty industry. | | |
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| Inside the strange theology of the Aetherius Society | | |
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