·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents57m◆AI and the rise of the universal entertainment app1h◆Substack adds an AI detector to help spot blogs written by no one1h◆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 theft5h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated7h◆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 innovation10h◆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 agents57m◆AI and the rise of the universal entertainment app1h◆Substack adds an AI detector to help spot blogs written by no one1h◆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 theft5h◆Google launches a cheaper alternative to large AI security models like Mythos5h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated7h◆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 innovation10h◆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/Qwen3.5-27B-Claude-4.6-Opus-Uncensored-V2-Kullback-Leibler-GGUF

Qwen3.5-27B-Claude-4.6-Opus-Uncensored-V2-Kullback-Leibler-GGUF news

3 articles mentioning Qwen3.5-27B-Claude-4.6-Opus-Uncensored-V2-Kullback-Leibler-GGUF

arxivJul 3

TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B

arXiv:2607.01927v1 Announce Type: cross Abstract: This paper presents TUDUM (T\"urk\c{c}e D\"u\c{s}\"unen \"Uretken Model), a project pipeline for adapting a Qwen-family 27B thinking model toward Turkish reasoning. The central problem is not only to answer Turkish prompts in Turkish, but to make the

arxivMay 15

Procedural-skill SFT across capacity tiers: A W-Shaped pre-SFT Trajectory and Regime-Asymmetric Mechanism on 0.8B-4B Qwen3.5 Models

arXiv:2605.11907v2 Announce Type: replace Abstract: We measure procedural-skill SFT contribution across three Qwen3.5 dense scales (0.8B, 2B, 4B) on a 200-task / 40-skill holdout, with Claude Haiku 4.5 as a frontier reference. The corpus is 353 rows of (task + procedural-skill block, Opus chain-of-t

arxivApr 22

Qwen3.5-Omni Technical Report

arXiv:2604.15804v2 Announce Type: replace Abstract: In this work, we present Qwen3.5-Omni, the latest advancement in the Qwen-Omni model family. Representing a significant evolution over its predecessor, Qwen3.5-Omni scales to hundreds of billions of parameters and supports a 256k context length. By

HomeModelsNews