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An AI agent autonomously managed a real company's Meta Ads account for 31 days, writing ads, optimizing budgets, and only faltering when a human intervened. The experiment highlights data ownership and open-source tools as key enablers for AI-driven advertising.
The article argues for shifting from authentication to authorization, allowing users to control their data in personal databases. It introduces ayb, an open-source tool for database authorization, and Todos, a to-do app that connects to your own database instead of a login screen.
Matt Pocock describes his personal wiki journey, using AI to generate daily podcasts from multiple data sources and build on-demand deep dives, along with a custom CLI for agents to help create course material, highlighting the power of owning your data.
A Twitter thread offering strategic advice on building self-learning agents that improve with use, covering dual learning sources, memory types, and data ownership.
Manuel Simoni shares his vision that personal data should reside on personal servers, echoing Urbit's call for a simple personal server OS.
Brad Fitzpatrick left Google to develop Perkeep, an open-source personal data storage project that gives users full control over their digital data, freeing them from big tech cloud services. However, it is still in early stages and targets technical users.
Introduces a practical framework for Dataset Usage Inference (DUI) that estimates the fraction of a dataset used to train a generative model without requiring shadow models or held-out data, using synthetic non-members and mixture proportion estimation.
The author recommends Tanka AI, an AI-native enterprise collaboration tool designed to mitigate data loss risks associated with third-party platforms, highlighting its strengths in securing user data sovereignty and integrating enterprise-grade AI capabilities.