Model Detail
hivemind-32b-preview
—hivemind-32b-preview is an AI model with 32B parameters released by HiveLabsAI. Distributed under a other license.
hivemind-32b-preview ships with 32B parameters. Distribution is governed by the other license — review the exact terms before commercial deployment.
hivemind-32b-preview is best fit for general-purpose AI workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
arXiv:2510.22954v2 Announce Type: replace Abstract: Language models (LMs) often struggle to generate diverse, human-like creative content, raising concerns about the long-term homogenization of human thought through repeated exposure to similar outputs. Yet scalable methods for evaluating LM output
Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents
arXiv:2606.09039v2 Announce Type: replace Abstract: This study proposes the Behavioral Protocol Framework (BPF), an entropy-controlled pluralistic alignment framework designed to address two critical challenges in autonomous agent economies: the hivemind effect arising from excessive strategic conve
HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads
arXiv:2604.17111v1 Announce Type: cross Abstract: When multiple LLM coding agents share a rate-limited API endpoint, they exhibit resource contention patterns analogous to unscheduled OS processes competing for CPU, memory, and I/O. In a motivating incident, 3 of 11 parallel agents died from connect