·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
All the AI agents that can live in your text messages1h◆Sequential Capacity of Quantum Processes with Finite Memory11h◆Sentence Specificity Scores for Collaborative Technical Documentation: A Domain-Transfer Study11h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training11h◆SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing11h◆Continual Learning for 6-DoF Grasp Synthesis via Experience and Demonstrations11h◆Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions11h◆STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling11h◆A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform11h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?11h◆Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening11h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts11h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization11h◆Learning ab initio phase-field models11h◆Scaling Collider Event Generation with Residual-Quantized Tokens11h◆AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models11h◆TANGO: Treating Tokens as Operators11h◆Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization11h◆The hidden advantage of mask resampling: a theory of masked autoencoders11h◆Continual Reinforcement Learning with Neuroevolution11h◆All the AI agents that can live in your text messages1h◆Sequential Capacity of Quantum Processes with Finite Memory11h◆Sentence Specificity Scores for Collaborative Technical Documentation: A Domain-Transfer Study11h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training11h◆SmoothOperator: Enhancing Representations for Fine-grained Open-set Recognition via Modulated Label Smoothing11h◆Continual Learning for 6-DoF Grasp Synthesis via Experience and Demonstrations11h◆Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions11h◆STEER: Reducing Inference Cost in Relational Foundation Models through Semantically Informed Sampling11h◆A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform11h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?11h◆Tolerance-Based Fairness Auditing: Violation Certification and Sensitivity Screening11h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts11h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization11h◆Learning ab initio phase-field models11h◆Scaling Collider Event Generation with Residual-Quantized Tokens11h◆AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models11h◆TANGO: Treating Tokens as Operators11h◆Optimal Momentum Methods for Stochastic Multilevel Compositional Optimization11h◆The hidden advantage of mask resampling: a theory of masked autoencoders11h◆Continual Reinforcement Learning with Neuroevolution11h◆
News/Meta open sources code to let you make Muse AI gadgets
theverge
PublishedOctober 2, 2026 at 9:08 PM
—neutral

Meta open sources code to let you make Muse AI gadgets

Meta open sources code to let you make Muse AI gadgets
Source
theverge.comfull article ↗
Read on theverge→
Publisher summary· verbatim

Meta now lets you make your own Muse gadgets that feature the company's new AI agent with code that the company open sourced. The company suggests projects like loading Muse on a color E Ink display to show reminders, adding it to an HDMI stick so you can display Muse on a big screen, or […]

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
theverge
Read original ↗All from theverge →

No replies yet. Be first.

Source
↗
theverge
Read original ↗All from theverge →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on theverge ↗
Built by Marouane Gazouzi
HomeModelsNews