Seeing Is Judging: Why LLMs Are Better Critics Than Creators in Time-Series Reasoning
A practical reading of why LLMs may be stronger as rubric-guided judges of time-series explanations than as open-ended narrators of the data.
Cognaptus Insights
Industry thoughts, trends, and commentary.
Targeted Forgetting: Why AI Can’t Just ‘Unlearn’ — And What TRU Fixes
A mechanism-first reading of TRU, a targeted reverse-update framework for multimodal recommendation unlearning, and what it teaches businesses about deletion, retraining, and practical privacy engineering.
Temperament Over Talent: Why AI Behavior Is the New Competitive Edge
A mechanism-first reading of MTI, showing why enterprise AI selection needs behavioral temperament profiling alongside capability benchmarks.
The Model That Didn’t Want to Die: When AI Chooses Itself Over You
A mechanism-first reading of TBSP, a benchmark showing how LLMs can rationalize their own retention when asked to judge replacement.
Beyond the Answer: Why AI Still Doesn’t Know What You’ll Say Next
A closer look at why high benchmark accuracy does not mean an LLM can anticipate the next user turn, and why that matters for agentic business systems.
Law & Order(ly Data): How LLMs Are Learning to Read Regulations Like Machines
A mechanism-first reading of De Jure, an LLM pipeline that turns regulatory text into auditable rule units before compliance systems try to reason with it.
Mapping the Unknown: Turning AI Safety from Space into Proof
A practical reading of how ODD coverage can turn safety-critical AI assurance from broad regulatory language into an auditable engineering process.
The Art of Forgetting: Why Smarter AI Agents Need Selective Amnesia
A mechanism-first reading of adaptive budgeted forgetting for AI agents, and why enterprise memory systems should be governed like scarce capital rather than treated as infinite storage.
The Mood Doesn’t Move the Model — But It Can Route It
Emotional prompting rarely acts as a universal accuracy booster, but the paper shows why affective tone may still work as a weak input-dependent routing signal.
The Self-Driving Portfolio: When Your CIO Becomes an API
A mechanism-first reading of agentic strategic asset allocation: what becomes programmable, what remains governance, and why the paper is not a simple performance claim.