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Data centers expected to use 4x more electricity by 20351h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program2h◆Anthropic’s $1.5 billion book piracy settlement approved by judge2h◆US threatens sanctions against Chinese AI models over IP theft3h◆Google launches a cheaper alternative to large AI security models like Mythos4h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated5h◆Halliday’s latest smart glasses feature a much-improved display6h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation8h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else9h◆Capacity and Redundancy Trade-offs in Multi-Task Learning15h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation15h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making15h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection15h◆Supervised Reward Inference15h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization15h◆Is Progressive Disclosure All You Need for Long-Context Agents?15h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability15h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification15h◆Data centers expected to use 4x more electricity by 20351h◆Google releases three new Gemini models — but no 3.5 Pro2h◆Introducing the ChatGPT for small business program2h◆Anthropic’s $1.5 billion book piracy settlement approved by judge2h◆US threatens sanctions against Chinese AI models over IP theft3h◆Google launches a cheaper alternative to large AI security models like Mythos4h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated5h◆Halliday’s latest smart glasses feature a much-improved display6h◆America needs to stop getting shocked by Chinese AI8h◆Advancing next-gen AI with materials science innovation8h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else9h◆Capacity and Redundancy Trade-offs in Multi-Task Learning15h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation15h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making15h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection15h◆Supervised Reward Inference15h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization15h◆Is Progressive Disclosure All You Need for Long-Context Agents?15h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability15h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification15h◆
News/model/MOSS-TTS

MOSS-TTS news

7 articles mentioning MOSS-TTS

techcrunchJul 14

Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer

Instagram head Adam Mosseri believes companies will eventually need to manage AI token spending the same way they manage payroll or other operating expenses, predicting that engineers could soon face limits on how much they spend using AI tools.

thevergeJul 10

Instagram’s Adam Mosseri: If you don’t like AI, ‘then you shouldn’t have it in your feed’

Though Instagram head Adam Mosseri doesn't want to filter out AI content on the platform, he argues that you "shouldn't have it in your feed" if you don't like it. "I don't think we should filter out AI content," Mosseri said during an interview on Lenny Rachitsky's podcast. "I think we should let y

#social-media#ai-content#regulation
arxivJun 3

MOSS-Audio Technical Report

arXiv:2606.01802v2 Announce Type: replace-cross Abstract: MOSS-Audio is a unified audio-language model for speech, environmental sound, and music understanding, supporting audio captioning, time-aware question answering, timestamped transcription, and audio-grounded reasoning. MOSS-Audio couples a d

arxivMay 29

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

arXiv:2603.07916v2 Announce Type: replace Abstract: In recent advances, to enable a fully data-driven learning paradigm on relational databases (RDB), relational deep learning (RDL) is proposed to structure the RDB as a heterogeneous entity graph and adopt the graph neural network (GNN) as the predi

arxivMay 29

MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization

arXiv:2605.29635v1 Announce Type: cross Abstract: In this paper, we study a structured class of nonconvex constrained stochastic problems with difference-of-convex (DC) regularization, where the feasible set is possibly nonconvex and the concave part of the DC regularizer is allowed to be nonsmooth.

arxivMay 26

MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems

arXiv:2605.22794v2 Announce Type: replace Abstract: Autonomous agentic systems are largely static after deployment: they do not learn from user interactions, and recurring failures persist until the next human-driven update ships a fix. Self-evolving agents have emerged in response, but all confine

arxivMar 31

MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions

arXiv:2603.28086v1 Announce Type: cross Abstract: Voice design from natural language aims to generate speaker timbres directly from free-form textual descriptions, allowing users to create voices tailored to specific roles, personalities, and emotions. Such controllable voice creation benefits a wid

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