Topics

LLMs hallucinate confidently. Uncertainty estimation flags errors in NLP & code—strong on open-source models, misses nuances in GPT-4o. A plug-and-play step toward safer, self-aware AI.

Multi-Objective Causal Bayesian Optimization revolutionizes decision-making in healthcare and engineering, integrating causal graphs with Bayesian methods to efficiently navigate trade-offs, ensuring smarter, interpretable solutions for complex systems.

Tired of AGI leaderboard illusions? A data scientist reveals the real test: can it invent Bitcoin in 2007, teach quantum physics in Swahili, and know when to ask for help?

An information-theoretic framework quantifying intensional inheritance, enabling AI systems to model conceptual meaning, probabilistic relationships, and human-like reasoning beyond simple example-based hierarchies.