AINewsnow

Small-scale check of "good views beat next-token prediction" (Balestriero & LeCun 2026): human captions only, 11M-param encoders [P]

The paper claims text models align with image models faster when trained on "good views" (two different captions of one photo) than on bad views (one caption, words hidden) or next-token prediction. Its largest run used captions written by an image captioner, so image information could have leaked…

Read the full story at r/MachineLearning ↗

Timeline · 1 report

  1. 2026-11-02 15:08 · r/MachineLearning
    Small-scale check of "good views beat next-token prediction" (Balestriero & LeCun 2026): human captions only, 11M-param encoders [P]

More stories

  1. OpenAI launches Grid Protectors Program to curb compute campuses' power demand — OpenAI News
  2. Anthropic reports nearly $17 billion quarterly revenue ahead of IPO — CNBC Technology
  3. Musk says Grok Bot usage limits cut due to 'unsustainably high' costs — Forbes AI
  4. Anthropic updates Claude Code to block recreation of existing video games — Engadget
  5. Musk mocks Altman's RAM comments as OpenAI weighs renaming data centres — The Verge AI
  6. Anthropic's amended IPO filing shows $17bn revenue, $3.5bn share sale to Japan investors — Reuters AI
  7. Malicious Claude Code extension pulled from Cursor marketplace after SSH backdoor attempt — Microsoft Research Blog
  8. DeepSeek open-sources dsh-superagent, a proactive autonomous coding agent prototype — Bloomberg AI

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