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Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents34m◆AI and the rise of the universal entertainment app38m◆Substack adds an AI detector to help spot blogs written by no one55m◆Data centers expected to use 4x more electricity by 20352h◆Google releases three new Gemini models — but no 3.5 Pro3h◆Introducing the ChatGPT for small business program3h◆Anthropic’s $1.5 billion book piracy settlement approved by judge3h◆US threatens sanctions against Chinese AI models over IP theft4h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display7h◆America needs to stop getting shocked by Chinese AI9h◆Advancing next-gen AI with materials science innovation9h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else10h◆Capacity and Redundancy Trade-offs in Multi-Task Learning16h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation16h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making16h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection16h◆Supervised Reward Inference16h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization16h◆Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents34m◆AI and the rise of the universal entertainment app38m◆Substack adds an AI detector to help spot blogs written by no one55m◆Data centers expected to use 4x more electricity by 20352h◆Google releases three new Gemini models — but no 3.5 Pro3h◆Introducing the ChatGPT for small business program3h◆Anthropic’s $1.5 billion book piracy settlement approved by judge3h◆US threatens sanctions against Chinese AI models over IP theft4h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated6h◆Halliday’s latest smart glasses feature a much-improved display7h◆America needs to stop getting shocked by Chinese AI9h◆Advancing next-gen AI with materials science innovation9h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else10h◆Capacity and Redundancy Trade-offs in Multi-Task Learning16h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation16h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making16h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection16h◆Supervised Reward Inference16h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization16h◆
News/model/maestro-reasoning

maestro-reasoning news

4 articles mentioning maestro-reasoning

arxivJul 11

It Takes a MAESTRO To Prune Bad Experts

arXiv:2607.08601v1 Announce Type: new Abstract: Sparsely-activated Mixture-of-Experts (MoE) language models achieve remarkable inference efficiency by activating only a small fraction of parameters per token, yet their full expert banks reside in memory at all times, creating a prohibitive deploymen

arxivJun 25

Maestro Order: A Model-Agnostic Orchestration Harness

arXiv:2606.23983v1 Announce Type: cross Abstract: A single forward pass of a capable model is a fast, fluent, and unreliable problem-solver: it is right often enough to be useful and wrong often enough to be dangerous; in language models, such confident errors are known as hallucinations. We present

HomeModelsNews
arxivMay 22

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

arXiv:2605.22177v1 Announce Type: cross Abstract: The proliferation of large language models (LLMs) and modular skills has endowed autonomous agents with increasingly powerful capabilities. Existing frameworks typically rely on monolithic LLMs and fixed logic to interface with these skills. This giv

arxivApr 14

MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization

arXiv:2601.07208v2 Announce Type: replace-cross Abstract: Group-Relative Policy Optimization (GRPO) has emerged as an efficient paradigm for aligning Large Language Models (LLMs), yet its efficacy is primarily confined to domains with verifiable ground truths. Extending GRPO to open-domain settings