Seeing is Retraining: How VizGenie Turns Visualization into a Self-Improving AI Loop
VizGenie shows why serious AI visualization assistants need validated workflows, domain-aware vision, and retraining loops鈥攏ot just prettier prompt-to-code demos.
Cognaptus Insights
Industry thoughts, trends, and commentary.
馃殌 All Talk, No Stocks? What Reddit Sentiment *Doesn't* Predict
A close reading of why Reddit sentiment models underperform simpler attention signals in meme-stock prediction.
Forgetting by Remembering: A Smarter Path to Machine Unlearning
A mechanism-first reading of Influence Approximation Unlearning, a faster approximate method for deleting training-data influence without expensive Hessian computation.
How Sparse is Your Thought? Cracking the Inner Logic of Chain-of-Thought Prompts
A mechanism-first reading of how chain-of-thought prompting reshapes internal model features, when it helps, and why smaller models may not benefit.
Layers of Thought: How Hierarchical Memory Supercharges LLM Agent Reasoning
A practical reading of H-MEM, a hierarchical memory architecture that makes long-term LLM agents faster and more coherent by changing the shape of memory, not merely its size.
Noise-Canceling Finance: How the Information Bottleneck Tames Overfitting in Asset Pricing
A mechanism-first look at how information bottleneck regularisation may help high-capacity asset pricing models forget noise without throwing away return-relevant structure.
Numbers Don鈥檛 Speak for Themselves: How LLMs Interpret the Soul of Financial Reports
A controlled pilot study shows why selecting an LLM for financial-report analysis requires multiple evaluation lenses, not a single leaderboard score.
SIMURA Says: Don鈥檛 Guess, Simulate
A mechanism-first look at SiRA, the agent architecture that uses explicit world-model simulation to plan before acting.
Echo Chambers or Stubborn Minds? Simulating Social Influence with LLM Agents
A comparison-based reading of how different LLM agent types conform, polarize, or preserve dissent in synthetic forum discussions.
Echoes in the Algorithm: How GPT-4o's Stories Flatten Global Culture
A mechanism-first reading of how gpt-4o-mini produces culturally decorated but structurally standardised stories, and what that means for organisations using LLMs in global communication.