Fast but Flawed: What Happens When AI Agents Try to Work Like Humans
A workflow-level reading of human and AI work shows why agents are cheap, quick, programmatic, and still risky in the places businesses most want to automate.
Cognaptus Insights
Industry thoughts, trends, and commentary.
When Opinions Blur: Fuzzy Logic Meets Sentiment Ranking
A mechanism-first reading of a fuzzy-logic ranking proposal for turning review sentiment strength into explainable product and service search.
Agents in a Sandbox: Securing the Next Layer of AI Autonomy
AgentBound shows how MCP agents can move from trust-by-default tool access to enforceable least-privilege execution, with modest practical overhead.
Deep Thinking, Dynamic Acting: How DeepAgent Redefines General Reasoning
DeepAgent shows why the next useful leap in AI agents may come less from bigger workflows and more from dynamic tool discovery, structured memory, and action-level reinforcement learning.
Seeing Green: When AI Learns to Detect Corporate Illusions
A mechanism-first reading of a new multimodal benchmark for measuring how oil and gas companies frame environmental virtue in public video advertising.
Teaching Safety to Machines: How Inverse Constraint Learning Reimagines Control Barrier Functions
A mechanism-first reading of ICL-CBF, a method that turns expert safe behaviour into neural control barrier functions for safety filtering.
The Benchmark Awakens: AstaBench and the New Standard for Agentic Science
AstaBench shows that scientific agents are useful research assistants in narrow lanes, but still far from reliable autonomous discovery.
The Rise of FreePhD: How Multiagent Systems are Reimagining the Scientific Method
A case-first reading of freephdlabor, an open-source framework that turns AI research automation from a brittle pipeline into a managed, auditable, human-steerable research workbench.
When Numbers Meet Narratives: How LLMs Reframe Quant Investing
A mechanism-first reading of how LLM-derived news representations can help quant investing only when they are treated as adaptive signal layers rather than magic alpha machines.
Beyond Utility: When LLM Agents Start Dreaming Their Own Tasks
A mechanism-first look at how open-ended LLM agents move from task execution to task generation—and why that is not the same as autonomy.