OpenAI: Code Red? More Like Code Green!

 

After writing about how OpenAI might just be the AOL of the post AI Internet, I couldn’t resist commenting on The Information’s scoop this morning about OpenAI hitting the big red panic button. It’s now a Valley ritual to call an official emergency whenever you’ve made massive management mistakes that almost kill your company. Remember Sundar’s code red back when ChatGPT launched? Seems Sam Altman is now returning the favor. He’s worried Google’s Gemini is about to lap ChatGPT, and has told his staff to drop everything and focus entirely on improving OpenAI’s core product.

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Is OpenAI Today’s Netscape? Or Is It AOL?

As is his want, last week Fred Wilson wrote a provocative post I’ve been thinking about for the past few days. Titled “Netscape and Microsoft Redux?“, Fred notes the parallels between the browser wars of the late 1990s and the present-day battle for dominance in the consumer AI market. And he asks a prescient question: What new, world-defining product might we be missing by focusing on AI chatbots?

In the early days of the Web, everyone thought the most important new product to emerge from the Internet was the browser. Netscape, a startup with just a few months of operating history, defined the market for those browsers in 1994, then dominated it for several years thereafter. But by the late 1990s, the lumbering incumbent Microsoft had stolen Netscape’s lead by leveraging distribution and pricing advantages inherent to its massive Windows monopoly.

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Target Has an OpenAI App. Is That Good News?

Hey there, it’s been a minute. I got in a nice posting rhythm earlier in the year, but preparations for DOC (which was amazing, but exhausting) and life in general got in the way for most of the late Summer / early Fall. That’s starting to change, thank goodness.

If you’re a regular reader you know I’ve been somewhat obsessed with how AI will impact society and business – kind of like I was obsessed with how Search would impact society and business over the past two decades. An item about Target and OpenAI caught my attention this morning, news that, in more normal times, I’d have already written about in detail. Here’s the TLDR:

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Wired’s Backbone Stiffens

Wired’s current issue

We didn’t have much money when we launched Wired back in January of 1993, but we needed to get the word out somehow. We couldn’t spend our way into brand recognition, so we orchestrated a guerilla campaign: The week Wired hit newsstands, day-glo posters with just two words were plastered on construction sites, vacant wall space, and buses all over San Francisco, New York, and a few other tech-heavy cities. “GET WIRED!” the ads  proclaimed. Never mind that no one knew what Wired was. The point was to get people’s attention, and judging from the newsstand sales, it worked.

(If you want part of the history of that period, read my piece “Get Wired,” which I published earlier this year.)

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Will AI Replace Doctors?

DOC 2025 Debaters: Reid Hoffman, Eric Verdin, Anitha Kannan, and Mike Krieger

At the inaugural DOC gathering last year, famed Valley VC Vinod Khosla made a bold prediction: AI will soon make medical care “essential free,” while at the same time enabling human doctors to scale their knowledge and caregiving five to ten fold. Bill Gates has made similar claims – and gone even further, saying that AI will “replace many doctors” with 10 years.

As we all contemplate a future of “AI everywhere,” perhaps no question is more polarizing than this: Will AI make human work obsolete? And if so, what happens to all of us? It’s the defining question of Mustafa Suleyman’s 2023 book “The Coming Wave,” in which Suleyman, the CEO of Microsoft AI, argues that AI will have “hugely destabilizing” impact on the workforce. “Godfather of AI” Geoffrey Hinton strikes a darker tone, warning “What’s actually going to happen is rich people are going to use AI to replace workers. It’s going to create massive unemployment and a huge rise in profits. It will make a few people much richer and most people poorer.”

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Is AI In The Trough of Disillusionment Yet?

These two things can be true at the same time:

  • AI is a world changing technological innovation that will ultimately live up to its hype; and
  • AI is an utterly overblown technology that will fail to live up to its hype, leaving millions in financial ruin along the way.

After all, those two statements pretty much sum up the World Wide Web from the period between roughly 1996 and 2006. At the moment, it feels to me if we’re crossing the peak of AI’s hype cycle, and about to enter “the trough of disillusionment,” a period where a vaunted technology fails to live up to its early promises.

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Google (and Apple) Get a Slap on The Wrist

Back in the day when I was covering Google on a daily basis, I’d have spent hours poring over yesterday’s news that the judge in Google’s landmark antitrust case essentially blinked. But twenty-odd years of experience leaves me with very little to say about how Google’s first anti-trust case has been resolved, other than this: It’s a nothing burger, with a side of same-as-it-ever-was.

Over the course of nearly four years since the government brought its case, a lot has changed:

  • The United States has veered away from liberal democracy toward illiberal autocracy, and the current administration is no longer interested in grand antitrust remedies that serve the public. Today, everything is seen through the lens of whether a given action or decision furthers the President’s power. Preserving the status quo gives him leverage over powerful actors – he can continue to threaten and bully, ensuring fealty and tribute. In this administration, as in Moscow, Pyongyang and Beijing, no one is allowed to have more power than the Dear Leader.
  • As I laid out in my predictions nine months ago, the tech industry is now the most powerful force in politics outside the President, and its two most muscular companies – Apple and Google – did not want their duopoly upended. We’ll likely never know what soft-power backroom deals were cut to avoid what nearly every legal scholar felt was justified action by the government, but to think those dynamics didn’t impact this decision is to ignore the reality of my first point above.
  • OpenAI’s existence became a convenient foil. The emergence of generative AI has given Google (and the judge in this case) the ability to argue that the DOJ was fighting yesterday’s war. Sure, Google might have been a search monopolist, but look – OpenAI is proof that the market is always smarter than government regulators! Never mind the fact that search literally built the foundation for generative AI, or that generative AI is the natural evolution of search – a product that Google will continue to dominate now that government remedies have been rendered toothless.

Google – and its $20 billion partner Apple – are likely doing cartwheels today. Wall Street certainly is.

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The Planet Is Warming, But Our Speech Has Chilled

Image from the AlphaEarth launch.

More than a decade ago I was working on a book about the impact of data on society. I was obsessed with a maddening and seemingly impossible idea: What if we could track every single piece of data that mattered in the world, and from that data, gain unimaginable insights that would shake us into an entirely new age – the equivalent of moving from Medieval times to the Renaissance?

Of course, I was struggling with this thesis well before AI became mainstream. I knew that the compute and algorithms needed to turn my musings into reality were on the horizon, but I simply could not find a way to realize the concepts I sensed were playing out all around me. I felt like Captain Ahab, madly chasing a spectral leviathan of data. I spent days staring out at the ocean from a rented cottage on the beach, imagining every molecule of water as information dancing across sentient processors. It was about this time that I made an uneasy peace with my ambitions to be the next Gleick or McPhee. Rather than submit to the insanity of the matrix, I abandoned the project, and it has haunted me ever since.

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The Tech Industry Is Locking AI Into Old Models. That’s Bad for Everyone.

I’ve written a lot about AI lately, and I’ll admit, most of it is critical. Plenty of you have asked me why I’m so down on the sector. The crux of it is this: I think we’re approaching AI without considering history’s lessons, and because of that we’re failing to ask the questions that will matter as the technology becomes inextricably embedded in our culture.

Perhaps the most important question is metaphorical – what’s the best metaphor for how we interact with AI? We’ve got plenty of examples to chose from. Will our interactions with AI end up being like the PC – a personal device that we own and control? Or will it instead end up like social media or search (or worse, television) – a centralized service that is owned and controlled by large corporations?

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Tech And Society’s Faustian Bargain

Capture.

I led my predictions for 2025 with the dog-bites-man observation that technology has eclipsed finance as the most powerful industry in the world. More than six months into the year, I’d like to emend my conclusion. Tech hasn’t eclipsed finance. It has captured it. 

Finance has always leveraged technology – at Wired in the early 1990s, we were fond of saying that technology’s twin engines of innovation were money and sex – but the most interesting story was always money. Care to understand the future of internet infrastructure? Bone up on how hedge funds optimize network latency. Want to peer into the future of online consumer services back when the Web was a glint in Marc Andreessen’s eye? Start with online banking

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