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Articles about AI assistants from podcasts, articles and papers, with links to the original sources.
On The Diary of a CEO, critic Ed Zitron praises a chatbot for reading a troubleshooting log and for helping fix his son's Minecraft mod, then argues that neither is worth a trillion dollars. The host counters with his fiancée's one-woman business and his chief of staff's inbox. The argument turns on tokens, subscription rate limits and who is paying the real bill.
On Training Data, Parallel Web Systems founder Parag Agrawal traces how agents multiply web searches — from a weekly credit-risk review across 10,000 small businesses to the meeting-prep agents that run hundreds of searches before his own calls — and forecasts a web that, in a couple of years, tells agents when something worth acting on has changed.
Meta’s Muse Glimmer is a 30-billion-parameter model designed to run agents on personal computers. Alongside Mark Zuckerberg’s vision of personal superintelligence, it prompted a Moonshots debate about whether open models put users in charge—or strengthen the company that already owns their favorite apps.