Show HN: Hacker Times, a New York Times-Inspired Version Hacker News
A new Hacker News site inspired by The New York Times aggregates AI research, tech updates and security stories.
The Hacker Times Show HN post presents a curated list of recent technology and AI developments. Topics include neural network weight modifications, AI-related bugs in PostgreSQL releases, privacy-focused devices and web archiving efforts. The platform aims to provide New York Times-style reporting on tech news.
- MIT CSAIL reports direct edits to neural-network weights
- AI-assisted bugs delayed PostgreSQL release
- Archivist urges personal backups of websites
- Project assembles 3D model of central Warsaw voxel by voxel
- Organizations
- MIT CSAILPostgreSQLCanonical
From the original article
2 min read at hackertimes.caAn MIT CSAIL team reports early experiments in which GPT-6 Astra interpreted and modified neural-network weights without writing a training loop. In one Qwen test, the authors say a small weight change sharply improved math and instruction-following scores; the findings are preliminary.
By polpenn · hackertimes.ca
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.