Why LLMs Aren’t Ready to Explain Decisions Yet
Researchers warn LLMs excel at predicting but lack true understanding to explain human decisions. Learn why decision explanation claims need caution.
Llama-3.1-8B Uses Base-10 Addition for Cyclic Reasoning
Discover how Llama-3.1-8B language model uses base-10 addition and Fourier features to reason about cyclic concepts like months.
Safety in Agentic AI Depends on Interaction Topology
Discover why safety and fairness in agentic AI rely on interaction topology, not model scale or alignment, for robust multi-agent decision-making.
Low-Latency Fraud Detection for Securing LLM Agents
Discover a low-latency fraud detection layer that identifies adversarial patterns in LLM-powered agents for enhanced AI security and real-time protection.
AI Timing Computation: Exploring Possibilities with Verbs
Discover how verb-based AI models enhance timing computation to explore possibilities and improve decision-making across healthcare and beyond.