Specialisation and Art
How does extra domain specific pre-training contribute to code specific models? We explore Qwen3-Coder-Next Technical Report (Qwen Team, 2026) to find out.
How does extra domain specific pre-training contribute to code specific models? We explore Qwen3-Coder-Next Technical Report (Qwen Team, 2026) to find out.
Where do inconsistencies show up within the current state of world models? We explore The Trinity of Consistency as a Defining Principle for General World Models (Wei, et al., 2026) to find out.
Is RSI through multi-agent systems doomed to degenerate? We explore The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies (Wang, et al., 2026) to find out.
What’s the best way to teach AI competency in K–12 settings? We explore Unleashing human potential: An artificial intelligence competency framework for K–12 education (Kong & Hu, 2026) to find out.
Can GenAI continue to grow beyond the finite limits of human data by generating its own? We explore Welcome to the Era of Experience (Silver & Sutton, 2025) to find out.
Can a party of LLMs play D&D? We explore Setting the DC: Tool-Grounded D&D Simulations to Test LLM Agents (Zeng et al., 2025) to find out.
Can a simple Engram lookup transform a model’s search for meaning? We explore Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models (Cheng et al., 2026) to find out.
Can small, local AI models transform the way we play? We explore Web World Models (Feng et al., 2025) to find out.
Have DeepSeek discovered a new technique to unlock training at massive scale? We explore mHC: Manifold-Constrained Hyper-Connections (Xie et al., 2025) to find out.
Should AI agents be optimised for reasoning, or is reliable tool use a more viable path? We explore Adaptation of Agentic AI (Jiang et al., 2025) to find out.