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News articleStanford AI Lab

Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

View original at ai.stanford.edu
Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web <p><em>This work was conducted as part of <a href="https://ai.stanford.edu/">SAIL</a> and <a href="https://crfm.stanford.edu/">CRFM</a>.</em></p> <p>Deep learning has enabled improvements in the capabilities of robots on a range of probl…
Opening lines of the source · Stanford AI Lab · short snapshot — read the full document at the original

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The claims Via News extracted from this document. We point to the source; we don't replace it.

  • LOReL achieves 66% success rate on 5 tasks specified by natural language

    80% confidence
  • Training on human videos provides 20%+ improvement on unseen tasks

    80% confidence
  • LOReL has limited generalization to unseen tasks

    80% confidence
  • DVD shows 20%+ improvement in success rate on unseen environments compared to robot-only training data

    80% confidence

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AI Funding Surge: Capital Floods Fintech, Foundation Models, and Autonomous Systems
A concentrated burst of AI-linked funding on 2026-08-28 pushed well over $1.5B into companies spanning fraud/identity fintech (Socure, which also acquired Fravity), foundation models (Stability AI), AI agents and enterprise tooling (Instinct, Generalist AI, Emerald AI, Owner), and AI-adjacent autonomous/aerospace ventures (Gatik, Regent Craft). The breadth and simultaneity of these rounds signal that investor appetite for AI is not concentrated in a single vertical but is broadening into applied and infrastructure-adjacent domains, with consolidation (Socure-Fravity) beginning alongside fresh capital formation.
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ING Group
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