source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
WEDNESDAY, SEPTEMBER 23, 2026
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  1. 001TechCrunchSEP · 23English

    YouTube Music gets more conversational with new AI features

    YouTube is adding AI-powered features to YouTube Music, including Ask Music, a conversational tool that lets users describe music preferences in natural language to discover songs and build playlists, and Your Podcast Lineup, a personalized audio guide for podcast discovery. These features aim to simplify music and podcast discovery across YouTube Music's catalog of over 300 million songs.

    By Lauren Forristal
  2. 002TechCrunchSEP · 23English

    Spotify is giving you the keys to its recommendation algorithm with US launch of 'Taste Profile'

    Spotify launched 'Taste Profile' to US Premium subscribers, allowing users to view and modify how the platform understands their musical preferences using natural language commands. The AI-powered feature, which debuted in beta in New Zealand in March, enables listeners to fine-tune recommendations across music, podcasts, and audiobooks by requesting more variety, specific genres, or adjusting overall vibe.

    By Sarah Perez
  3. 003Hacker NewsSEP · 23English

    Caring vs. Knowing

    The article explores how SaaS value shifts from simply knowing what good looks like to actively caring about evolving user needs over time. As AI enables personalized app building and platforms serve diverse users, success requires balancing smart defaults with flexibility, adapting to changing expectations rather than forcing users into rigid workflows.

    By Adam Zimman
  4. 004Hacker NewsSEP · 23English

    Lifelogging with Large Language Models

    A person describes using large language models to analyze personal lifelogging data—journals, financial records, sleep data, and notes—to generate weekly AI-powered summaries that provide emotional and cognitive insights. The practice has proven emotionally impactful and cognitively useful, though it raises questions about human-AI relationships and the limits of what machines can understand about meaningful human experiences.

    By Jaan Altosaar