How People Actually Use ChatGPT, According to New Research New research breaks down ChatGPT usage behavior based on over one million messages. Over half of ChatGPT use cases are for learning and productivity 90% of users rely on the free version of ChatGPT @VisualCap
LLMS
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Swiss AI Initiative Apertus Models Now Free on Hugging Face
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Free Inference alert Today we welcome @ForPublicAI to HF Inference Providers. Among other models, they're serving the new Apertus model from the Swiss AI Initiative (EPFL, ETH Zürich, CSCS) AND…… those two models (8B and 70B) are currently free on HF during Swiss AI
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Mamba and Jamba Models Now Compatible with vLLM v1 Engine
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NEW: You can now run Mamba-based architectures (shout-out to @tri_dao & @_albertgu for introducing Mamba), as well as hybrid Transformer–Mamba models (like our own #Jamba), with the enhanced vLLM v1 engine. Kudos to our very own @AsafGardin and Amir Koblyansky for their
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Alibaba Releases AgentScope Python Framework for Multi-Agent AI
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Alibaba just dropped a Python framework for building multi-agent AI Apps! AgentScope is a python framework built around Agent-Oriented Programming that lets you build modular, multi-agent LLM applications with ease. 100% Open Source
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Gemini 3.0 Ultra spotted in CLI repository, release expected soon
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Gemini 3.0 Ultra in CLI repo spotted. However, it could just be a placeholder. But looks like Gemini 3.0 release is imminent anyways
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On-Device LLMs Transform Industrial IoT and Edge Computing
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Think on-device LLMs for industrial monitoring or chatbots in #IoT. This partnership drives low-power, high-impact AI. Details at Alexis’s talk, at #TheThingsConference from @thethingsindust
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MCP Success Validated by Industry Recognition and Evidence
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less of a competitive thing really and more just admitting reality. i had enough evidencd to write Why MCP Won well before this sama tweet (but thanks)
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Understanding Why Mojo Is Essential for AI Development
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It did occur to me that they're starting to understand why Mojo is actually needed…
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First Iteration Agentic AI Model Disappoints on Tool Calling
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i have been disappointed in the Agentic performance of both the Instruct and Thinking variants of this model it's the 1st iteration of the architecture, and i hope the next release is kino in multi-step tool calling just wanted to share my opinion after playing with it