A software freedom activist describes shifting focus away from strong copyleft licenses toward evaluating the community that governs a project. The author argues that license type alone doesn't guarantee a project upholds values like inclusivity, independence from corporate control, or rejection of extractive technologies such as generative AI. They cite AGPL-3.0 projects that are dual-licensed commercially and require contributor license agreements as examples of technically free software that isn't community-run.
lumi.codeberg.page
· 2026-10-29
A 2026 summer research intern at Jane Street, Kavish, developed a diffusion model aimed at synthesizing order book events—such as order placements, cancellations and executions—rather than just predicting prices. The project explored whether market data, which mixes discrete actions with near-continuous and often spiky distributions (like order timing and price ticks), can be modeled using diffusion techniques borrowed from image, video, and audio generation.
blog.janestreet.com
· 2026-10-09
An Entrepreneur opinion piece argues that generative AI tools have become the primary way customers, investors, employees and partners form first impressions of companies, synthesizing news, reviews, social media and other online signals into a single confident narrative. The author warns that old controversies can linger in AI-generated summaries long after public attention fades, quietly shaping perception without a company's input.
entrepreneur.com
· 2026-09-02
GoKawiil