Technology, Humanity, and the Existential Test

I’m still digging through some of the pieces I posted at the now defunct NewCo Shift, and found this piece, adapted from a talk I gave at the Thrival Humans X Tech conference in Pittsburgh back in September of 2018. I was alarmed by trends that I saw intensifying – a push by the tech industry to deregulate their power, the growing influence of private company algorithms on public domains, the rise of autocratic politics and “technocapitalism.” Six years later, it feels like I could give this talk again today, nearly word for word – and it’d be even more relevant. 

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From the Archive: Tech Must Get Over Its Superman Complex, Or We’re All Screwed

Detail from the cover of Yuval Noah Harari’s 21 Lessons for the 21st Century
Five years ago I was posting a lot to a publication called NewCo Shift, which is now offline. I got ahold of the archives, and found this review, which hasn’t lost any of its relevance – in fact, it kind of reads like it was written last week. 

Everyone in tech loves Yuval Noah Harari. This is cause for concern.

A year and a half ago I reviewed Yuval Noah Harari’s Homo Deus, recommending it to the entire industry with this subhead: “No one in tech is talking about Homo Deus. We most certainly should be.”

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Consume First, Deal with the Shit Later

https://dailymontanan.com/2021/06/12/big-bad-forest-clear-cutting-continues/

Websites are Blocking the Wrong AI Scrapers (Because AI Companies Keep Making New Ones) – 404 Media

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What’s SearchGPT Really About? Moving Past the Training Data Dilemma.

This morning we awoke to one story dominating the tech news landscape: OpenAI is “expanding into search,” launching SearchGPT, a prototype that appears to be a direct competitor to Google (and Bing and Perplexity, not that they really matter). But despite the voluminous coverage, my initial take is that once the hype cycle passes – I give it a day or two – OpenAI’s true goal will emerge: fixing the optics of its approach to training data.

The company doesn’t have the resources to take on Google on its core turf. So why announce SearchGPT now? This is speculation, but I’d wager it’s because the company is in a perilous place. It built its business – one that could lose up to $5 billion this year – by scarfing up the entire Internet, mostly without permission. It’s facing a serious backlash from both established publishers and governments. In response, it’s been busy cutting deals with as many partners as it can, and this search prototype feels driven by those optics.

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Introducing DOC

Late last year I wrote about my transition from being work-driven to being life-driven. It hit a chord – many of you are on similar journeys, particularly those of us who are looking toward, and past, middle age. Buried a couple of thousand words into that post, in the section about what I was up to after selling The Recount, was this line: “I’m helping to stand up a new kind of gathering at the intersection of science, medicine, and longevity.” My partners and I have spent the past six months developing that gathering, and I’m very proud to announce it’s got a name, a date, and most importantly, a program with a purpose.

My co-founders Dr. Jordan Shlain and Kevin Ryan and I have christened the community we’re forming DOC. Our inaugural gathering is October 24th – 26th at The Estate Yountville in Napa, California. DOC is invitation only and close to full, but if you’re interested in learning more, you can request an invite here.

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Ads, Ads Everywhere

The Times’s piece decries all the ads on TV. But is this a surprise?!

The advertising world is uncomplicated at its core, and utterly bewildering when seen from the outside. The easy bit stems from a simple axiom: Wherever you can find the attention of potential customers, you pay to get your message in front of them. That’s the essence of advertising: paying for attention. It gets complicated by the details – the medium, the message, the targeting, the tech – but wherever customers gather, advertising will follow. There’s simply too much money to be made for it to be otherwise.

So it was utterly unsurprising to learn, a few hours ago as I write this, that there will soon be ads on PayPal, driven by the data the company collects. PayPal recorded 6.5 billion payments in the first quarter of 2024 alone, according to the Journal. The company plans on creating what’s known as a “retail media network” allowing advertisers to leverage PayPal’s data to target users both on platform and off.

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Can GenAI Change Big Companies?

A quick note to point you toward this piece I wrote for P&G’s Signal publication. Since its inception, I’ve been co-editor of the monthly outlet, which covers innovation in large enterprise. This month I went in search of proof that the hype around generative AI – fueled in large part by both Google and Microsoft – had any merit. Turns out, it actually does. It’s still early, but the two examples I found, at Air India and Bayer, show tangible results and some promising implications for more impact to come.

Back in the day, I used to cover what was once called “corporate computing.” I got to dust off some old skills and talk to some interesting folks. Give it a read, and let me know what you think.

Working with AI in the Enterprise

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Wrestling With The Gray Lady

Find the Search button…

The other day my wife and I heard a report on our local public radio station that mentioned the Biden Administration’s American Climate Corps (ACC) initiative, a new program seeking to recruit 20,000 young people into jobs on the front line of the climate crisis. Modeled on Franklin Roosevelt’s Depression-Era Civilian Conservation Corps (CCC), the program is a signature element of Biden’s response to what anyone with a pulse knows is the most pressing issue of our day: we’re destroying the planet through misguided economic incentives.

But despite the fact that the ACC was launched with much fanfare last Fall, my wife and I had never heard of it. We have three young adult children whose future feels in doubt because of climate change, and they’d never heard of it either – not a good sign for a program that hopes to recruit tens of thousands of people just like them. All five of us feel like we’re reasonably well informed. I mean, we read The New York Times, don’t we?

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Will GenAI Kill The Web?

The Atlantic is out with a delicious piece of doomerism: It’s The End of the Web As We Know It. Were it not for the authors, Judith Donath and Bruce Schneier, I’d have passed right on by, because well-respected publications have been proclaiming the death of the Web for more than a decade. By and large they’ve been proven directionally right, but it’s taking a lot longer than most predicted. Much like the Earth’s coral reefs, the Web has been dying off in waves. In their piece, Donath and Schneier argue that generative AI augurs the Web’s final stage of life. The coup de GPT, if you will.

Donath and Schneier are more thoughtful than your average trend-spotting feature writers. Donath, a fellow at Harvard’s Berkman Center, is the kind of digital polymath I’ve admired for years, but who’s been relatively quiet of late. No longer. And Schneier, a security expert, writes smart stuff about nearly everything I care about as it relates to the Internet. It’s fair to say I’ll read just about anything he writes.

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Mine, Mine, All Mine

The original MusicPlasma interface. Author’s musical preferences not included…
  1. No Longer Mine 

When I write, I like to listen to music. Most of my first book was written to a series of CDs I purchased from Amazon and ripped to my Mac – early turn of the century electronica, for the most part – Prodigy, Moby, Fat Boy Slim and the like. But as I write these words, I’m listening to an unfamiliar playlist on Spotify called “Brain Food” – and while the general vibe is close to what I want, something is missing.  

This got me thinking about my music collection – or, more accurately, the fact that I no longer have a music collection. I once considered myself pretty connected to a certain part of the scene – I’d buy 10 or 15 albums a month, and I’d spend hours each day consuming and considering new music, usually while working or writing. Digital technologies were actually pretty useful in this pursuit – when Spotify launched in 2008, I used it to curate playlists of the music I had purchased – it’s hard to believe, but back then, you could organize Spotify around your collection, tracks that lived on your computer, tracks that, for all intents and purposes, you owned. Spotify was like having a magic digital assistant that made my ownership that much more powerful. 

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