Photo via Platformer

What was Hard Fork?

Read the original at Platformer ↗
Cite

Newton, C. (2026, September 18). What was Hard Fork? Platformer. https://www.platformer.news/hard-fork-machine-gods/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Platformer · collected 2026-09-18 · by Casey Newton

Quick Summary

The article reflects on the podcast "Hard Fork," which was hosted by Kevin Roose and the author at the New York Times. Initially conceived to cover cryptocurrency trends in 2021, the show pivoted to focus heavily on artificial intelligence after the release of ChatGPT in late 2022. The podcast interviewed executives from AI companies like OpenAI and Anthropic, along with various experts impacted by AI technology, making it one of the primary platforms discussing AI's implications during its run.
Written by AI on 2026-09-18, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Casey Newton announced the end of Hard Fork, a podcast he co-hosted at The New York Times with Kevin Roose, which focused on artificial intelligence and technology. Initially conceived in 2021 to cover the burgeoning crypto industry, Hard Fork pivoted its focus after the launch of OpenAI's ChatGPT in late 2022. Newton expresses gratitude toward various individuals and teams who supported the podcast during its run, including Sam Dolnick for greenlighting the show and Joy Robins for helping it grow. Newton also mentions plans for a new podcast called Machine Gods, set to debut on NPR soon after Hard Fork's conclusion.

Written for “Hard Fork Explanation” on 2026-11-02, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Hard Fork Explanation
Technology · 1 article(s) covering the same event.

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
92
sentences that state something as happening or true
Uncertain
9%
8 of 92 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
96/100
Platformer's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-18 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Platformer · 36 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Casey Newton
28 article(s) here · 1 carrying a prediction
🔮 The company noted that its traffic from search had fallen meaningfully, and that by the fourth quarter daily users might decline by a low double-digit percentage.
2026-10-30 · assertive framing · What Google and Reddit's bad days have in common
🔮 While these cases against OpenAI may be the most significant to date, they are far from the first: there are now dozens of private suits against the company, and governments are taking notice as well.
2026-10-15 · assertive framing · The states come for OpenAI
🔮 The other is recent blog posts from OpenAI and Anthropic outlining their progress toward recursive self-improvement: AI systems that can research and train their successors, leading to ever-faster releases and increased risk that the systems will escape their control.
2026-10-07 · assertive framing · Does intelligence need a hard cap?
🔮 Writing on his blog, Gates predicted that the age of apps was coming to an end.
2026-09-30 · assertive framing · OpenAI connects the Dots
🔮 At the time, Silicon Valley had been consumed by an interest in bots, which its boosters hoped would shift more and more internet activity to messaging apps.
2026-09-25 · assertive framing · Can Muse make us forget the metaverse?
🔮 Once a fringe obsession of Bay Area rationalists, existential risk is suddenly all anyone is talking about Frontier labs make for lousy messengers on AI safety — but it would be foolish to ignore them
2026-09-23 · assertive framing · Muse is having a moment
🔮 When Kevin and I pitched Hard Fork in 2021, Silicon Valley was in the throes of crypto mania, and we assumed that the podcast would cover the effort to rebuild our existing internet on the blockchain.
2026-09-18 · assertive framing · What was Hard Fork?
🔮 “Jacob is correct here—we really do earnestly believe AI could kill all humans!” Hubinger wrote.
2026-09-11 · assertive framing · The AI safety vibe shift
🔮 Maybe we should listen?
2026-09-09 · assertive framing · The AI warnings are coming from inside the lab
🔮 Once a fringe obsession of Bay Area rationalists, existential risk is suddenly all anyone is talking about Frontier labs make for lousy messengers on AI safety — but it would be foolish to ignore them The AI industry is begging for a slowdown.
2026-09-04 · assertive framing · Google gets away with it
Also by Casey Newton
The states come for OpenAI
2026-10-15 · Platformer
Does intelligence need a hard cap?
2026-10-07 · Platformer
OpenAI connects the Dots
2026-09-30 · Platformer
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 28 articles by Casey Newton →

Topics

Anthropic Hard Fork NPR OpenAI the New York Times

Subjects

Anthropic ORG · 2× Google ORG · 2× NPR ORG · 2× OpenAI ORG · 2× the New York Times ORG · 2× FTX ORG · 1× Kevin PERSON · 1× Kevin Roose PERSON · 1× PJ Vogt PERSON · 1× Search Engine’s ORG · 1×

Narrative

I’m forever grateful to these and so many other folks: Sam Dolnick for greenlighting our show and championing us throughout our run; Joy Robins for helping us grow the business; the crack Times events team who helped us produce two sold-out shows in San Francisco; and every reporter who came on to talk about their great journalism, to name only a few.
framing: assertive · carried by 1 article(s) · first seen 2026-09-18
🔮 When Kevin and I pitched Hard Fork in 2021, Silicon Valley was in the throes of crypto mania, and we assumed that the podcast would cover the effort to rebuild our existing internet on the blockchain.
2026-09-18 · Platformer
What was Hard Fork? · assertive framing

Claims (92 extracted, 8 hedged)

This column mentions AI. asserted
column → mention → AI
My fiancé works at Anthropic. asserted
fiancé → work → Anthropic
On Wednesday we announced Machine Gods. asserted
we → announce → Gods
It’s a new podcast from Kevin Roose and me, in partnership with NPR. asserted
It → ’ → NPR
If you enjoyed Hard Fork, we think you’ll enjoy this show, too. asserted
you → enjoy → show
And on the eve of Hard Fork’s final episode, I wanted to say a few words about the show we made at the New York Times and the one we hope to make with NPR. asserted
we → want → NPR
One of my favorite podcasting truisms comes from Search Engine’s PJ Vogt, whom I once heard say that you learn what your show is by making it. asserted
show → come → it
When Kevin and I pitched Hard Fork in 2021, Silicon Valley was in the throes of crypto mania, and we assumed that the podcast would cover the effort to rebuild our existing internet on the blockchain. asserted
podcast → pitch → blockchain
But by the time the show launched in the fall of 2022, crypto had already entered its decline. asserted
crypto → launch → decline
(One of the first episodes of Hard Fork chronicled the collapse of FTX. asserted
One → chronicle → FTX
I remain haunted by the fear that, had we started only a little bit earlier, Sam Bankman-Fried would have come on the show and beguiled us.) asserted
Fried → remain → us
As it so happened, though, a few weeks into our run, OpenAI launched ChatGPT. asserted
OpenAI → happen → ChatGPT
It did not take much time using the product for us to begin taking large language models and the companies building them extremely seriously. asserted
us → take → them
We began having executives of OpenAI, Anthropic, Google and other AI companies on the show regularly. asserted
executives → begin → show
And from the beginning, we quizzed them on how they planned to build their systems safely. asserted
they → quiz → systems
Four months into our run, my cohost’s long conversation with an unhinged version of Microsoft Bing captivated the world and brought AI safety discussions into the mainstream. asserted
conversation → captivate → mainstream
(It also drew a fair amount of ridicule, previewing the ways in which the commentariat would continually twist itself into pretzels to deny that anything important was happening with LLMs.) And from there on out, Hard Fork went after the AI moment harder than any other story. asserted
Fork → draw → story
In addition to company executives and founders, we interviewed academic researchers, high school teachers, college professors, students, doctors, and other people whose work gave them an early taste of the disruptions that AI would bring. asserted
AI → interview → that
We tested early companion chatbots, tried our hand at vibe-coding, and spent a memorable afternoon in Google’s robot lab. asserted
We → test → lab
The more we talked about AI, the more people listened. asserted
people → talk → AI
And while we made room for other stories, for most of our run, the organizing principle of our show was to better understand AI. asserted
principle → make → AI
Making the show at the New York Times was amazing. asserted
Making → make → Times
As a daily reader of the paper since college, I was thrilled to be invited inside the building to collaborate with the dizzyingly talented people who work there. asserted
who → thrill → people
And people worked so, so hard on our show before it even launched. asserted
it → work → show
Kelly Doe and her design team came up with the show’s electric yellow-green color palette and pixelated, pictogram-heavy visual treatments. asserted
Doe → come → palette
Dan Powell wrote the perfect theme song, which more than a handful of listeners have sought me out to say they will miss. asserted
they → write → me
Paula Szuchman, who was running the entire Times audio department when we launched, woke up before dawn for the first several months of the show to edit each week’s episode and get it ready for publishing. asserted
it → run → publishing
The team that worked on the show each week was small, scrappy, and ferociously intelligent. asserted
that → work → show
Our founding producer, Davis Land, came up with our cold-open format and the idea that you should always hear someone laughing before you hear our theme song. asserted
you → come → song
Whitney Jones took our chaotic creative process and transformed it into something calmer and more sustainable. asserted
Jones → take → something
Rachel Cohn was an indefatigable voice for the audience, quick to highlight ideas that might bore, confuse, or annoy them — and reliably offered much better alternatives. uncertain
that → highlight → alternatives
(We are thrilled that Rachel has joined us as a senior producer at Machine Gods.) asserted
Rachel → thrill → Gods
Jen Poyant, our first executive producer, was the sort of boss every creative person wants and so few get: asking all the right questions to help you understand the thing you wanted to make, and then clearing a wide lane for you to go do it. asserted
you → want → it
And when Jen moved on, we were so lucky to get to work with Vjeran Pavic, a colleague of mine for many years at The Verge, who successfully overhauled our approach to putting the show on video while also contributing his considerable expertise and passion for tech journalism. asserted
who → move → journalism
I’m forever grateful to these and so many other folks: Sam Dolnick for greenlighting our show and championing us throughout our run; Joy Robins for helping us grow the business; the crack Times events team who helped us produce two sold-out shows in San Francisco; and every reporter who came on to talk about their great journalism, to name only a few. asserted
who → ’m → few
I’m also grateful to Kevin, who was my casual work friend when all this started and who has now become my co-founder and something closer to a brother. asserted
who → ’m → brother
He indulges my good ideas and my bad ones; laughs at my jokes; and has my back when I’m flailing. asserted
I → indulge → back
Everyone in their working life deserves someone to support them the way Roose has supported me. asserted
Roose → work → me
I won’t let him read this on the air, but he really is very cool. asserted
he → let → air
One thing Kevin and I have in common is that we are steeped in Silicon Valley founder culture, and over time I have learned that it’s quite contagious. asserted
it → have → time
…and 52 more, not listed.
💬Give feedback
🕘History 🎫Support