ABIDE.LAB

Research
Publications

Exploring the frontiers of causal AI, temporal reasoning, and aligned intelligence through rigorous research and open collaboration.

BLOGPOST
October 2025
15 min read
ABIDE Research Team

The Evolution of AI Scaling Laws: From Prediction to Reflection

How the field moved from optimizing for prediction to reward, and why the next breakthrough requires causal reasoning

The dominant narrative in ML has been one of relentless pursuit of scale. For years, the path to more capable models seemed paved with more parameters, more data, and more compute. Yet, the returns on this strategy are showing signs of diminishing.

Scaling LawsAI ResearchMachine LearningCausal Reasoning
RESEARCH PAPER
September 2025
2 min read
ABIDE Research Team

AbideGym: Turning Static RL Worlds into Adaptive Challenges

A dynamic MiniGrid wrapper that introduces agent-aware perturbations and scalable complexity to enforce intra-episode adaptation

Agents trained with reinforcement learning often develop brittle policies that fail when dynamics shift, a problem amplified by static benchmarks. AbideGym, a dynamic MiniGrid wrapper, introduces agent-aware perturbations and scalable complexity to enforce intra-episode adaptation.

Reinforcement LearningAdaptive AIBenchmarkingGeneralization
RESEARCH PAPER
August 2025
2 min read
ABIDE Research Team

Causal Reflection Framework

Exploring the intersection of causal inference and LLMs for explainable and aligned AI systems

The intersection of causal inference and reinforcement learning represents one of the most promising frontiers in artificial intelligence research. While traditional RL methods excel at learning optimal policies through trial and error, they often struggle with generalization and interpretability.

Causal InferenceAI AlignmentExplainability
WHITEPAPER
August 2025
10 min read
ABIDE Research Team

Towards Adaptive AI Agents: Our Research Roadmap

The Missing Piece in the AI Puzzle

Over $400 billion in projected enterprise AI spending over the next decade is chasing systems that are fast, fluent, and confident - yet unreliable when the world changes

AI AlignmentExplainabilityCausalityAI Agents