Reading List
On My Radar
Papers
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Learning to Discover at Test Time
TTT-Discover Team · arXiv
Qwen3-TTS Technical Report
Qwen Team, Alibaba Group · arXiv
LLM-in-Sandbox Elicits General Agentic Intelligence
Tsinghua University, Renmin University et al. · arXiv
Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Stanford University, NVIDIA · arXiv
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
New York University · arXiv
Controlling Long-Horizon Behavior in Language Model Agents with Explicit State Dynamics
Independent Researcher · arXiv
BayesianVLA: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
BayesianVLA Team · arXiv
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience
Meituan, Tongji University et al. · arXiv
You Need Better Attention Priors
Stanford University · arXiv
Toward Efficient Agents: Memory, Tool learning, and Planning
Shanghai AI Lab, Fudan University · arXiv
Agentic Reasoning for Large Language Models
Survey Authors · arXiv
Editoriali
27MIT Technology Review
Yahoo Finance
- These Stocks Will Collapse If the AI Bubble Pops in 2026
- What to watch in 2026: AI broadening & questioning US market dominance
- AI took investors on a date in 2025. In 2026, analysts say it's time to foot the bill
- AI-driven inflation is 2026's most overlooked risk, investors warn
- Hybrid AI will drive 'whole new wave' of opportunity in 2026