·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Neil Rimer thinks the AI money is coming back out7h◆The Steering Budget: Examples beat Knobs8h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs8h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination8h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models8h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation8h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System8h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets8h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility8h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation8h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks8h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios8h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors8h◆Large Audio Language Models for Spoofing-Aware Speaker Verification8h◆ANet Patu-1: The Value of Connection in the Agent Network8h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization8h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue8h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation8h◆Neil Rimer thinks the AI money is coming back out7h◆The Steering Budget: Examples beat Knobs8h◆Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs8h◆RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination8h◆When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models8h◆SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation8h◆ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System8h◆LBA: Textual Hard-Label Adversarial Attack under Low Query Budgets8h◆Eta Given Delta: Defining LLM Tool Efficiency With Marginal Tool Utility8h◆Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation8h◆LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks8h◆OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios8h◆When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration8h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents8h◆Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors8h◆Large Audio Language Models for Spoofing-Aware Speaker Verification8h◆ANet Patu-1: The Value of Connection in the Agent Network8h◆Automatically Evolving Prompt Guidelines for Task-Specific Optimization8h◆MAPS: Modeling Co-Existing Subjective Perspectives and Shared Meaning in Multi-Agent Cognitive Dialogue8h◆Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation8h◆
News/Meta says its new AI model is ready to compete on coding
theverge
PublishedJuly 9, 2026 at 2:00 PM
—neutral

Meta says its new AI model is ready to compete on coding

Meta says its new AI model is ready to compete on coding
Source
theverge.comfull article ↗
Read on theverge→
Publisher summary· verbatim

After reentering the AI race with its first in-house Muse Spark model in April, Meta is now opening up the doors to developers with a new model that can plug into AI coding software with the new Meta Model API. Meta says that Muse Spark 1.1 is a "step-change" from the first generation, with improvem

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 ↗
HomeModelsNews