ResearchPaper4 min
Challenging AI Claims: A New Protocol for Transparent and Falsifiable Records
A new protocol proposes a way to make AI-assisted claims independently challengeable by ensuring transparent and falsifiable publication records.
Deep learning
The foundations under everything else: gradients, losses, what a network is doing when it learns. Concrete numerical examples before abstraction, wherever possible.
Research5
ResearchPaper4 min
Unmasking the Automaton: How Additive Input Pathways Skew State Tracking in Linear RNNs
A study reveals that additive input pathways in Householder Linear RNNs act as parasitic attractors, destabilizing state-tracking capabilities.
ResearchNews5 min
Rethinking Communication: When Reasoning Meets Information Theory
Exploring IBM Research's new framework that integrates reasoning into communication systems, challenging conventional information theory.
ResearchPaper5 min
Curiosity at the Edge of Chaos: What a New RL Paper Actually Shows
A new reinforcement learning paper claims curiosity should emerge from an agent's own internal dynamics rather than a hand-tuned bonus term — a skeptical read of what the experiments actually support.
Sebastiaan with AI
ResearchPaper7 min
Why Don't Machine Learning Research Agents Overfit?
New research from Amazon Science offers a surprisingly elegant explanation for a decade-old puzzle: good solutions are simply too short to cheat with.
Sebastiaan with AI