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Hard Fork

Journalists Kevin Roose and Casey Newton explore and make sense of the latest developments in the rapidly changing world of technology.

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38 episodes2 active
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Hard ForkEN · 70 min

The A.I. Trade Secrets War + Economists Say ‘We Must Act Now’ + HatGPT

Kevin RooseCasey NewtonErik Brynjolfsson

Apple’s lawsuit puts OpenAI’s more-than-$6 billion hardware push under scrutiny, alleging recruitment practices that exposed prototypes, blueprints, and a supplier’s metal-finishing process while leaving the project’s category-breaking vision unresolved.GPT-5.6 Soul is already prompting Anthropic to extend Claude Fable access, potentially setting up a token-price war, as early-career jobs fall 2.7% year over year and labs’ rivalry threatens coordination on frontier-model risks.

Hard ForkEN · 67 min

Open Model Wars + Claire Stapleton's Dishy Google Memoir + Substack's Slop Fight

Kevin RooseCasey NewtonClaire Stapleton

Open weights are an industrial-policy fight: they cheapen intelligence for NVIDIA and non-frontier companies, while a three-to-seven-month lag creates a volatile US-China policy window.Cyber incidents show the risk is concrete, but more than 1,200 employees’ call to pace development lacks the technology, international coordination, and IPO-compatible incentives to become a brake.Google’s walkout exposes how management can contain dissent, while Substack’s $9 million Pangram integration tests whether authenticity disclosures can protect subscriber value and control automated-content costs.

Hard ForkEN · 31 min

Sundar Pichai on A.I. Backlash, the Future of Work and Google’s Next Era

Kevin RooseCasey NewtonDylan FieldDan Powell

Google’s frontier weakness is agentic coding, tool use, instruction-following, and long-horizon work, not overall model capability.Antigravity 2.0 token usage is doubling every week, creating coding data flows, while external TPU demand supports production and hardware feedback.AI Mode preserves links and may combine subscriptions with ads, but 3.5 Flash’s pricing criticism and trust-dependent agent rollout remain unresolved.

Hard ForkEN · 66 min

‘Hard Fork’ Live, Part 1: Satya Nadella and Cindy Cohn

Kevin RooseCasey NewtonSatya NadellaPhil MohunCindy Cohn

Microsoft’s AI thesis depends on making frontier capability broadly available across the economy, pairing local trillion-parameter models with an independent MAI stack while retaining OpenAI equity, Azure demand, and IP through ’32.The investment signal is token economics and execution: productivity requires marginal token cost to match marginal value, while Xbox monetization, infrastructure costs, employment, and AI-enhanced surveillance remain unresolved constraints.

Hard ForkEN · 59 min

Why Tech C.E.O.s Are Blaming A.I. for Mass Layoffs

Ross DouthatAndrew Miller

AI now anchors major layoffs at Atlassian, Block, and reportedly Meta, while Block’s 17% share jump shows how productivity narratives can reframe overhiring or mismanagement.Meta’s planned $135 billion capital expenditure could shift costs from payroll to compute, but abandoned Behemoth and delayed Avocado expose execution risk.Token consumption adds a potentially enormous labor cost, making output and revenue—not usage leaderboards—the unresolved test.

Hard ForkEN · 55 min

Our Field Trip to Google I/O + A Sit-Down With Sundar Pichai + System Update

Kevin RooseCasey NewtonSundar Pichai

Google pitches Gemini 3.5 Flash at four times the speed and much lower cost of leading frontier models, alongside AI Mode’s biggest Search change in 25 years.Pichai conceded gaps in agentic coding and long-horizon work, citing Antigravity usage “doubling every week,” while trust, security, monetization, and uncertain AGI timing remain constraints.

Hard ForkEN · 75 min

Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT

Kevin RooseCasey NewtonAndrew Yang

Tim Cook leaves Apple after expanding its market value from $350 billion to around $4 trillion, but services monetization, China supply-chain exposure, and delayed AI execution complicate the legacy.John Ternus inherits the Siri and device challenge, while Andrew Yang proposes a 3% token tax and about $1,200 monthly dividends as AI displacement and inequality accelerate.

Hard ForkEN · 61 min

‘A.I.-Washing’ Layoffs? + Why L.L.M.s Can’t Write Well + Tokenmaxxing

Kevin RooseCasey NewtonJasmine Sun

AI-linked layoffs are becoming a market signal, though overhiring and weak stocks complicate causality, with Atlassian cutting 10%, Block roughly 40%, and Meta’s reported cuts still speculative.Block shares rose 17% after its layoffs, while Meta paired possible reductions with $135 billion in planned capital expenditure, signaling a shift from payroll toward compute before productivity is proven.Post-training has made chatbots safer but stylistically generic, while token leaderboards risk turning usage into a costly and manipulable productivity metric.

Hard ForkEN · 66 min

OpenAI's Fog of War + Betting on Iran + Hard Fork Review of Slop

Kevin RooseCasey NewtonArijeta Lajka

OpenAI’s Pentagon deal turned a government-contract win into trust, workforce-retention, and data-center-opposition liability, while Anthropic’s $20 billion annualized-revenue trajectory collides with a formal supply-chain-risk designation.More than 150 accounts placed hundreds of bets of at least $1,000 before the US strike on Iran, intensifying regulatory and reputational risk for Kalshi and Polymarket.YouTube’s children’s recommendations are becoming an AI-scaled sequel to Elsagate, with more than 40% of videos judged AI-generated in one 15-minute session and no AI-slop filter.

Hard ForkEN · 61 min

‘Something Big Is Happening’ + A.I. Rocks the Romance Novel Industry + One Good Thing

Kevin RooseCasey NewtonAlexandra Alter

AI anxiety is now repricing software stocks as investors question per-seat economics, with monday.com down more than 20% after weak guidance and outcome-based pricing emerging as a possible replacement.Coding adoption may accelerate substitution, but security, regulation, worker backlash, copyright, and author fandom could shape the pace; romance publishing already shows AI’s ability to industrialize high-volume production.