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Lighting the fuse on tech topics that haven't exploded—yet.

LLMs  | Apr 17, 2025
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Microsoft’s BitNet b1.58 2B4T: A 1.58-Bit Language Model That Could Reshape AI Efficiency
AI  | Apr 17, 2025
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ZClip: Smarter Gradient Clipping to Keep LLM Training on Track
AI  | Apr 17, 2025
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Kimina-Prover Preview: A New Milestone in AI-Driven Theorem Proving
LLMs  | Apr 17, 2025
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Nemotron-H: Hybrid Mamba-Transformer Models Speed Up Large Language Model Inference Without Sacrificing Accuracy
AI  | Apr 17, 2025
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Running AI Agents Locally: Smolagents Meets Ollama and llama.cpp
AI  | Apr 17, 2025
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RealHarm: A Grounded Look at AI Chatbot Failures and the Gaps in Safety Nets

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Tiny but mighty: Open-source DeepScaleR-1.5B-Preview challenges big AI’s efficiency assumptions

Edited Feb 16, 2025 A new open-source language model is turning heads not for its size, but for what it achieves without the computational heft of its predecessors. DeepScaleR-1.5B-Preview, a 1.5-billion-parameter model developed by the Agentica Project, claims to outperform OpenAI’s proprietary O1-Preview in specialized reasoning tasks—

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