New tutorial from our team on how to use @MulticaAI with Scientific Agent Skills as a team of AI co-scientists. Read this tutorial by our CTO, @TimothyKassis, and let us know what you think:
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Just shipped a big update to our Ginkgo Cloud Lab agent skill.
It now covers the full @Ginkgo Cloud Lab catalog 17 protocols, up from 3:
• Protein expression + purification (cell-free, E. coli, Pichia)
• HiBiT / A280 / LabChip readouts
• IVT mRNA & circRNA synthesis
• Thermal shift + Echo-MS assays
• SPR target onboarding
• Fluorescent pixel art
Describe your experiment in plain language → the agent picks the protocol, preps inputs, and prices the order on Ginkgo's autonomous RACs.
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Excited to share new work with @NVIDIAAI: we benchmarked 10 BioNeMo NIM skills across three @AnthropicAI Claude models, ~830 controlled runs. The result: skills don't make the models smarter, they make delivery reliable. On hard calls, a model ~5x cheaper became more reliable than the frontier baseline.
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