Tag: machine-learning
All the articles with the tag "machine-learning".
Making AI Agents Think Before They Retrieve
Published: at 09:00 PMEvery memory-augmented agent runs the same pipeline: query, retrieve, answer. Nobody asks whether retrieval should happen at all. Here's the missing cognitive control plane that turns memory access from a reflex into a decision, with controller architectures, a formal definition, benchmarks, and working code.
Why Neural Networks Solve the Wrong Equation
Published: at 03:45 AMPhysics-Informed Neural Networks promise to solve the equations governing reality: heat flow, fluid dynamics, structural stress. But nearly everyone enforces boundary conditions wrong, producing low training losses and physically meaningless results. Here's the fix nobody uses.
Inverse Scaling Laws in Neural Networks
Published: at 09:19 AMA comprehensive examination of inverse scaling in large language models, where increased computational power paradoxically leads to degraded performance on specific tasks, challenging our fundamental assumptions about AI progress.