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Liquid AI introduces Pipette, an on-device model evaluation suite created with ArtificialAnlys to improve benchmarking for edge intelligence.

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Liquid AI (@liquidai): Today we release Pipette, a model evaluation suite for on-device intelligence, in partnership with @ArtificialAnlys

Most benchmarking platforms are optimized to measure core capabilities and speed profile of foundation models served in the cloud. Pipette gives the field a

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TLDR AI

Liquid AI and Artificial Analysis release Pipette, an open-source benchmarking suite for on-device AI that measures quality, speed, latency, and memory use across models, quantizations, runtimes, and devices, shipping with 10k+ verified results and clients for macOS, Windows, iOS, and Android.

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Anthropic engineer shared development experience of long-duration AI agents, including multi-role division and independent evaluators, enabling AI to automatically generate complete applications within 3-5 hours, with a 12x improvement in continuous operation capability.