Apple presents Learning to Reason for Hallucination Span Detection
MACHINE LEARNING
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Privacy-First Fall Detection AI on Edge Devices
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Privacy-first fall detection that actually works. No cloud needed, just edge #AI distinguishing real falls from sitting down. Smart plug and smart speaker alerts when it matters.
Giving people back their independence while ensuring help arrives when needed, yet with no -
Qwen3-Max: The Coding Beast
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Qwen3-Max → coding beast
— God of Prompt (@godofprompt) 3 octobre 2025
• 1T+ params
• Instruct and Thinking modes
• Elite at code gen and agents
Try it: https://t.co/6FheZnqb7d pic.twitter.com/rDQt1TWrKzQwen3-Max → coding beast • 1T+ parameters
• Instruct and Thinking modes
• Elite at code generation and agents Try it:
http://chat.qwen.ai -
Granite-4.0-H Model Lineup: 32B Small to 3B Micro
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3/ Models in the lineup: Granite-4.0-H Small → 32B params (9B active), ideal for agents & support automation
Granite-4.0-H Tiny → 7B (1B active), low-latency + edge use
Granite-4.0-H Micro → 3B dense hybrid
Plus a 3B transformer-only Micro -
Granite 4.0 Hybrid Mamba Transformer Cuts GPU Memory 70%
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Granite 4.0 introduces a hybrid Mamba + transformer architecture. Cuts GPU memory needs by up to 70% Runs on cheaper hardware Faster inference, even with long contexts or multiple sessions
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Trackio experiment tracking library features roadmap
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What other features would you like to see in 𝚝𝚛𝚊𝚌𝚔𝚒𝚘, our experiment tracking library? https://t.co/fi7s1P4KSh
— Hugging Face (@huggingface) 2 octobre 2025What other features would you like to see in 𝚝𝚛𝚊𝚌𝚔𝚒𝚘, our experiment tracking library?
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BroRL: Scaling Reinforcement Learning Through Broadened Exploration
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BroRL Scaling Reinforcement Learning via Broadened Exploration
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Flash-Searcher: Fast Web Agents with DAG-Based Parallel Execution
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Flash-Searcher Fast and Effective Web Agents via DAG-Based Parallel Execution
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
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ACON Optimizing Context Compression for Long-horizon LLM Agents
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Knapsack RL: Budget Allocation for LLM Exploration
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Knapsack RL Unlocking Exploration of LLMs via Optimizing Budget Allocation