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by Casey Newton
Weekly audio updates at the intersection of tech and democracy. From Casey Newton.
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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.
Replit CEO Amjad Massad discusses how AI coding agents have transformed software development, enabling engineers to nearly triple their code output while shifting the focus from learning to code toward creative problem-solving. He argues that traditional coding is becoming obsolete and envisions a future where companies operate as self-driving systems powered by autonomous agents.
Casey Newton tested whether Claude 3.5, the most advanced publicly available AI model, could replicate his role as editor and writer at Platformer, finding that while the AI can produce competent analysis and editing with proper training, it still lacks the human 'vibe' and emotional intelligence necessary for nuanced journalism. Though AI is closing the gap in technical capability, the irreplaceable value of human judgment, collaboration, and authenticity remains central to meaningful work.
Chris Pedregal, CEO of Granola, discusses how his AI meeting assistant has become a ubiquitous tool in Silicon Valley, capturing audio and generating summaries to enhance productivity. The conversation explores the implications of always-on transcription, the evolving role of AI agents, and the ethical design choices around privacy and proactivity.
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