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Every published item, in order · 470 items
Oct 13
Oct 11
ModelsBuildersMulti-sourceSelected03:50
SenseNova-RoboRSI doubles RoboDojo score without changing GPT-6 Astra weights

The result suggests the agent harness — not just the foundation model — is a decisive lever for robot performance, with a near-doubling of RoboDojo achieved purely through system design. Developers building embodied or multi-agent pipelines can borrow the multi-point EEF prediction and feedback-subagent patterns without retraining models. It also points to a shift in research effort from model scaling toward recursive harness optimisation.

Event
rohanpaul_ai@rohanpaul_ai11 sourcesSource
Oct 10
Oct 9
ModelsBuildersMulti-sourceSelected02:39
Harvey LAB-AA v1.1 Adds Hallucination Gate to Legal Benchmark

The hallucination gate reshuffles the leaderboard: Muse Spark 1.3 would lead at 26.7% all-pass without it, but two thirds of its passes contain material hallucinations, while GPT-6 Astra keeps nearly all its passes and jumps from joint 10th to 3rd. Legal tech teams benchmarking models for drafting work should weight groundedness over raw pass rates, and cost data matters too — Grok 4.7 tops the table at roughly US$9.50 per task, under half the ~US$21.70 of Claude Fable 5.1.

Event
官方账号Artificial Analysis@ArtificialAnlys11 sourcesSource
Oct 8
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Oct 2
How-toBuildersMulti-sourceSelected20:25
Agent model routing implementation

This approach demonstrates how significant cost savings can be achieved without compromising quality by intelligently routing tasks based on complexity. Developers can implement similar routing in their own systems using LangChain middleware, with the decision model Jev offering 50x faster classification. The method is particularly valuable for organizations managing large-scale AI operations where cost efficiency is critical.

Event
shao__meng@shao__meng7 sourcesSource
Oct 1