Platformer

The real scandal about Nvidia had almost nothing to do with sex — and everything to do with Silicon Valley’s cult of the founder

Read the newsletter here: https://www.platformer.news/jensen-huang-resigns-founder-cult-accountability/

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Democrats have a mandate to rein in frontier labs, data centers, and more. Can they deliver without repeating their mistakes from the social-media era?

Read the newsletter here: https://www.platformer.news/thursday-newsletter-7/

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AI search is underperforming for Google, and it's killing Reddit's traffic. What now?

Read the newsletter here: https://www.platformer.news/thursday-newsletter-6/

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Why we're betting on AI realism. PLUS: The hell of PHP2Shell

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Will the approach that beat Meta in New Mexico work against ChatGPT?

Read the newsletter here: https://www.platformer.news/openai-states-lawsuit-liability/

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Calls for a new kind of slowdown were the talk of The Curve. PLUS: Slinking back to X

Read the newsletter here: https://www.platformer.news/does-intelligence-need-a-hard-cap/

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With safety questions still swirling, the company introduces a more business-focused take on agents

Read the newsletter here: https://www.platformer.news/openai-dots-agents-devday-2026/

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Three months ago, we began our podcast miniseries by asking how likely artificial intelligence is to take large numbers of jobs. Our first guest, Box CEO Aaron Levie, argued that mass disruption would be highly unlikely. And several subsequent guests, from Amazon Web Services CEO Matt Garman to labor economist Kathryn Ann Edwards, expressed similar skepticism about a labor wipeout.

The argument has significant emotional appeal — who doesn’t want to believe that technology will create more jobs than it eliminates?

For our final episode, I wanted to speak with someone who has considered the problem from all the major perspectives we’ve covered here from the start: operator, software builder, and civic leader. And that wish led me to Clara Shih.

In our conversation, she lays out a three-way taxonomy for how AI reshapes a job, borrowed from MIT economist David Autor; predicts that one in five corporate roles is "especially going to be challenged"; explains why she disagrees with her nonprofit advisor Andrew Yang about universal basic income; and offers a hot take about who will actually do the legal, marketing, and accounting work of the future.

Plus, Platformer fellow Ella Markianos joins at the top of the show to discuss this week's news about AI and jobs.

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For our penultimate episode, I wanted to visit someone running a version of that experiment in a somewhat unexpected place: the media business. Dan Shipper runs a website that reviews new technology alongside a product lab that’s building it — and for some time now I’ve wondered what it’s like to work in a place like that.

Today Every is a publication about AI that draws attention across the industry. At the same time, Every is also a product studio. But AI is changing the way that the company writes. Every has tried to clone the taste of its editor in chief, Kate Lee, by collecting a dataset of 30,000 of her historical edits, using it to build a copy-editing agent, and back-testing it against her past work.

More controversially, Shipper told me that far more writers are integrating AI into their workflows than will admit it publicly. "I think there is a real dirty secret right now, which is that almost every writer is using it,” he said. “Just, most of them are not saying so."

Plus, Platformer fellow Ella Markianos joins at the top of the show to discuss this week's news about AI and jobs.

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And everything else I learned about productivity this year.

Read the newsletter here: https://www.platformer.news/karpathy-llm-wiki-journalism-productivity/

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