The Model Context Protocol (MCP) is criticized for prioritizing ease of adoption over operational robustness, ignoring decades of lessons from distributed systems. The article highlights the risks of deploying MCP in enterprises, ...
6.6AI Regulation or AI Requiem?
2025-08-04 • innovation united states regulation europe ai
The author, Julien Simon, reflects on his decade-long experience in the AI sector and contrasts the differing regulatory approaches to AI between the U.S. and Europe. He highlights the EU's comprehensive AI Act, which aims to regu...
The article discusses the current state of AI development, arguing against the narrative of a 'failure' or 'crash' in AI technology. It emphasizes the shift from creating larger models to making AI practical and useful. The author...
The post discusses the introduction of Crazy Small Language Models (CSLMs), specifically highlighting a new 70 million parameter model called D3, which excels in drug-drug interaction prediction. It emphasizes the efficiency and e...
The blog post announces a new GitHub project by Julien Simon, which is an Amazon SageMaker container designed for Hugging Face inference on AWS Graviton. It highlights features such as native integration with the SageMaker SDK, mo...
The blog post features a discussion between Yann Jouanin and Julien Simon about the Model Context Protocol (MCP), exploring its definition, capabilities, user scenarios, limitations, and adoption strategies. The conversation highl...
The blog post discusses the rapid advancements in CPU inference for language models, highlighting improvements in performance metrics due to smaller, efficient models and enhanced open-source frameworks. Key takeaways include the ...
The post introduces two new AI models released by Arcee AI on Hugging Face: Homunculus, a 12 billion-parameter instruction model designed for efficient interaction styles, and GLM-4–32B-Base-32K, an enhanced version of an existing...
The post introduces three advanced AI models released by Arcee AI on Hugging Face: Arcee-SuperNova-v1, a distilled version of Llama-3.1; Virtuoso-Large, a versatile model for complex tasks; and Caller, optimized for tool-based int...
The Arcee Foundation Model (AFM) is a new family of GenAI models designed for enterprise use, with the first release being AFM-4.5B, a 4.5-billion-parameter model that offers high accuracy, compliance, and cost-efficiency. It is v...
The post discusses the development of a local AI meeting companion that enhances productivity during meetings by providing features such as live transcription, summarization, question suggestions, and personalized follow-up emails...
...
0Deep Dive: Model Merging with Arcee Fusion
2025-07-08 •
...
0Judging AFM-4.5B with DeepSeek-R1 670B
2025-07-03 •
...
0Running AFM-4.5B on Intel CPUs with OpenVINO
2025-09-11 •
...