Company
Spanish company developing AI model compression techniques, including pruning and quantization methods to shrink large language models.
Multiverse Computing published ProvenanceGuard on September 29, 2026, a layer that checks which MCP tool each of an agent's claims came from. It flags facts that are true somewhere in the pooled evidence but credited to the wrong tool.
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Multiverse Computing's ProvenanceGuard caught 138 of 139 bad claims experts flagged in a medical MCP agent by checking which tool each fact came from. A source-blind check passes a true fact credited to the wrong tool, so the verifier needs traces that keep each output tagged with its source.
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Multiverse Computing ranks candidate prunings by the energy of an Ising glass, so a single GPU scored about 29 billion combinations in two days. The paper reports the older per-block heuristics do just as well at lighter compression.
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Bonsai 2 27B keeps 98 percent of Qwen3.8 27B's aggregate benchmark score, up from 95 percent for PrismML's first release, and TechCrunch reports the 5.9GB file is small enough for a PC and possibly a high-end phone.
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Multiverse Computing's paper treats a deployment's refusal set as a subset of politics rather than the whole topic, which changes what the training corpus has to contain before any model is trained. The posted text breaks off before the results.
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July was the biggest month for new unicorns in more than four years, and H1 alone had already beaten the whole of 2025. One company priced at $1.1 billion is less than a year old.
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