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Meta researchers unveil new AI scaling laws and agent harness methods

By PulseAugur Editorial · [2 sources] ·

Meta researchers have introduced two new papers detailing advancements in AI scaling laws and agent harness development. The first paper proposes a 'Skaling law' that couples model capacity and training data, improving loss prediction accuracy and reducing compute needs for planning pretraining budgets. The second paper presents EvoHarness-RL, a method for agents to learn harness policies offline, enabling more robust long-horizon task execution and demonstrating strong performance with the Qwen3_8B model on the ALFWorld benchmark. AI

IMPACT These advancements in scaling laws and agent harness development could lead to more efficient AI training and more capable long-horizon agents.

RANK_REASON The cluster contains two academic papers detailing new research findings and methodologies from Meta.

Read on X — Omar Sanseviero (HF research) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Meta researchers unveil new AI scaling laws and agent harness methods

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Research
The cluster contains two academic papers detailing new research findings and methodologies from Meta.
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2 independent sources
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paper, model release
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High
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47 days old
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COVERAGE [2]

  1. X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 ·

    Impressive new paper from Meta.

    Impressive new paper from Meta. (bookmark it) Scaling laws assume model size and training data act on loss independently. This work introduces Skaling law, which couples capacity and data through a single interaction exponent. The extra term cuts mean absolute percentage error…

  2. X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 ·

    New research from Meta.

    New research from Meta. Agent harnesses are still mostly authored by hand. This makes it hard to tune robust agent harnesses for long-horizon tasks. In this new work, agents learn harness policies offline and deploy them to construct and update external harness state online ht…

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