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한국어(KO) Sebastian Raschka (@rasbt) Grok 4.5와 Meta의 Muse Spark 1.1을 반영한 벤치마크 업데이트입니다. 저자는 Grok 4.5가 성능 대비 비용 효율 측면에서 Pareto frontier에 가깝다고 평가하며, 하네스(harness) 정보도 함께 추가했습

Grok 4.5 benchmarked for cost-efficiency; HexRunner achieves stable 30 mph locomotion

By PulseAugur Editorial · [2 sources] ·

A new benchmark update highlights the performance and cost-efficiency of Grok 4.5, positioning it near the Pareto frontier. Additionally, a separate engineering case study showcases HexRunner's successful achievement of stable 30 mph locomotion, offering practical insights for AI and robotics system design. AI

IMPACT Grok 4.5's cost-efficiency benchmark provides insights for LLM development, while HexRunner's locomotion case study offers practical engineering lessons for AI and robotics.

RANK_REASON The cluster contains benchmark updates for AI models and a case study on robotic locomotion, fitting the research category.

Read on Mastodon — fosstodon.org →

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

Grok 4.5 benchmarked for cost-efficiency; HexRunner achieves stable 30 mph locomotion

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Ronald van Loon (@Ronald_vanLoon) introduces a design case where HexRunner achieved stable 30 mph locomotion. The key is a locomotion engineering approach that ensures both speed and stability, offering practical technical insights for AI/Robotics and Mobility System design.

    Ronald van Loon (@Ronald_vanLoon) HexRunner가 안정적으로 시속 30마일 이동을 달성한 설계 사례를 소개합니다. 속도와 안정성을 동시에 확보한 로코모션 엔지니어링 접근이 핵심이며, AI/로보틱스·모빌리티 시스템 설계에 참고할 만한 실전 기술 인사이트입니다. https:// x.com/Ronald_vanLoon/status/20 76053946620121511 # robotics # locomotion # engineering # ai # mobility

  2. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Benchmark update reflecting Sebastian Raschka (@rasbt) Grok 4.5 and Meta's Muse Spark 1.1. The author evaluates Grok 4.5 as close to the Pareto frontier in terms of performance versus cost-effectiveness, and also adds harness information.

    Sebastian Raschka (@rasbt) Grok 4.5와 Meta의 Muse Spark 1.1을 반영한 벤치마크 업데이트입니다. 저자는 Grok 4.5가 성능 대비 비용 효율 측면에서 Pareto frontier에 가깝다고 평가하며, 하네스(harness) 정보도 함께 추가했습니다. https:// x.com/rasbt/status/20759822835 09571666 # grok # meta # benchmark # llm # ai

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