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by Casey Newton
Weekly audio updates at the intersection of tech and democracy. From Casey Newton.
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The launch of 'Machine Gods,' a new AI podcast from Casey Newton in partnership with NPR, introduces a journalistic philosophy called 'AI realism'—a middle path between AI doomerism and unchecked accelerationism. The episode frames a nuanced, ethically grounded approach to covering artificial intelligence, balancing concern with curiosity.
A wave of multi-state lawsuits targets OpenAI over alleged harms caused by ChatGPT, particularly to minors, using consumer protection laws to argue the company misrepresented its product’s safety. The legal strategy mirrors recent successful cases against Meta, signaling a shift in how courts may hold AI platforms accountable not for user content, but for product design and marketing.
Amid rising concerns about AI's unchecked advancement, elite AI leaders are quietly discussing hard limits on model intelligence — a potential de facto ban on superintelligence — while journalist Casey Newton reluctantly returns to X to stay relevant in the AI policy conversation.
OpenAI's new AI agent, Dots, represents a significant step toward the vision Bill Gates predicted in 2023: AI personal assistants that handle complex, real-world tasks through natural language. While still early, Dots demonstrates tangible productivity gains by automating workflows, though it raises serious concerns about trust, privacy, and safety.
Clara Shih, a former AI executive at Salesforce and Meta, says witnessing AI agents outperform her top employees radicalized her, leading her to launch the New Work Foundation and Dear Cece, a nonprofit and media platform aimed at helping 2 million recent graduates navigate an AI-disrupted job market. She argues that entry-level jobs are vanishing not just due to macroeconomic factors, but because AI is collapsing workflows that once required human teams, and that a societal response—centered on mindset, skills, and community—is urgently needed.
Dan Shipper, co-founder and CEO of Every, runs a hybrid media and product company that operates at the frontier of AI adoption, using a unique flywheel model to write about, build, and teach emerging tools. His vantage point reveals how AI is reshaping work—not by eliminating jobs, but by creating new layers of complexity that demand more human expertise.
The most impactful productivity tool the host adopted this year was an LLM-powered personal wiki, inspired by AI researcher Andrej Karpathy’s method of using large language models to automatically build and update a self-organizing knowledge base. Though maintenance-heavy, it has dramatically improved recall, research efficiency, and story ideation, particularly in fast-moving domains like AI policy and tech industry developments.
Town, a new AI startup led by Jean-Denis Grez, is reimagining productivity software by building a self-organizing workspace powered by AI agents called 'townies' that proactively manage tasks, triage inboxes, and create personal wikis—reducing toil and reshaping how knowledge workers interact with digital tools.
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Weekly audio updates at the intersection of tech and democracy. From Casey Newton.
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