When Learning Goes Rogue: Fixing RL Biases in Economic Simulations
A precise look at why naive reinforcement learning can produce economically wrong market simulations, and how calibrated mean-field RL repairs the mismatch.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Can You Spot the Bot? Why Detectability, Not Deception, Is the New AI Frontier
A mechanism-first reading of the Dual Turing Test as a proposed framework for measuring whether high-quality AI output remains detectable under adversarial pressure.
From Graph to Grit: Diagnosing Warehouse Bottlenecks with LLMs and Knowledge Graphs
A mechanism-first reading of how knowledge graphs and step-wise LLM reasoning can turn warehouse simulation logs into evidence-linked bottleneck diagnosis.
Planners, Meet Your Smart Sidekick
SMARTAPS shows how LLMs can make advanced planning systems more usable by routing planner questions to expert-built optimisation tools rather than pretending to optimise from vibes.
Steering by the Token: How GRAINS Turns Attribution into Alignment
GRAINS shows how token-level attribution can become a practical inference-time steering mechanism for safer LLM and VLM behaviour without retraining.
Structure Matters: Externalities and the Hidden Logic of GNN Decisions
GraphEXT reframes GNN explanation around structural externalities, showing why node importance depends on changing graph coalitions rather than isolated feature scores.
The LoRA Mirage: Why Lightweight Finetuning Isn't Lightweight on Privacy
LoRA makes model adaptation cheaper, but LoRA-Leak shows that released adapters can still expose whether sensitive records were used in fine-tuning.
The Most Dangerous Query Is the One You Don't Question
VeriMinder shows why enterprise NL2SQL systems need a pre-query reasoning layer, not just better SQL generation.
The Two Minds of Finance: Testing LLMs for Divergence and Discipline
A finance benchmark shows why strategic AI evaluation must test both imaginative scenario generation and disciplined answer selection.
Trained on Tickers, Tuned for Trust: The New Frontier of FinTech AI
A practical map of financial foundation models across language, time-series, and visual-language systems, and what they can realistically do for financial engineering.