Artificial intelligence may change the concept of 'who is in an org'. Historically, there is a clear distinction between an organization's staff (inside) and its users (outside). However, with the development of AI, these boundaries become more blurred, potentially leading to an increase in part-time workers, volunteers, and collectives. The article discusses four historical factors limiting the number of employees in an organization and how AI might change each of them.
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Artificial intelligence can facilitate more flexible allocation of labor resources and change traditional organizational structures.
A tool for running models from multiple open model families. The current repository description lists DeepSeek, Qwen, Gemma and others.
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63 days agoHugging FaceA preview MoE release for streaming inference through edge0. The model card describes int4 quantization, LoRA and streaming expert weights from SSD.
65 days agoHugging FaceA dense two-billion-parameter model intended for local deployment and resource-constrained devices. The authors also release associated UltraData training datasets.
67 days agoHugging FaceA dense vision-language model for image and video understanding with adjustable thinking behavior. The repository provides weights and configurations in Transformers format.
99 days agoarXivOccamy-1.0 further trains Qwen3.6-35B-A3B on trajectories from multistep work tasks. The authors release weights and part of the data for agentic post-training research.
59 days ago