AINewsnow

Mechanistic Shaping: Teaching Models to Be Right for the Right Reasons

Most alignment work judges a model by its answers: right or wrong, safe or unsafe. Goodfire Research's new paper, "Shaping and Monitoring Models Through Their Internal Representations," argues that this misses the point. A model can be right for the wrong reasons — diagnosing a collapsed lung becau…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-11-05 08:17 · DEV Community — Machine Learning
    Mechanistic Shaping: Teaching Models to Be Right for the Right Reasons

More stories

  1. Google turns off Gemini and AI features by default for K-12 school accounts — Tom's Guide AI
  2. Moonshot AI releases Kimi K3.1 Pro weights, opening flagship model for independent deployment — Techmeme
  3. AI data-center stocks slide after Democratic midterm sweep raises slowdown fears — Barron's
  4. OpenAI pipeline finds and patches 948 Linux privilege escalation flaws in 30-hour run — OpenAI News
  5. Google Research unveils Agile Deliberation framework for subjective image classifiers — Google Research Blog
  6. OpenAI launches Images 2.6 with animated GIF creation and faster image generation — OpenAI News
  7. OpenAI to acquire developer tooling startup Pierre Computer Company — OpenAI News
  8. OpenAI says ChatGPT search volume now about 20% of Google's, with 1.2B weekly users — Techmeme

Get the daily brief of stories like this at 6:30 every morning →