Scaling Laws Revisited for Reasoning Tasks
Summarizing recent findings on compute-optimal training for reasoning-heavy benchmarks.
Research updates & paper digests
Accessible summaries of notable machine learning research, translated for a general technical audience.
Retrieval-Augmented Generation: What Changed in 2026
A review of architectural improvements making RAG pipelines more reliable at scale.
Evaluating Agentic Systems: New Benchmark Proposals
How researchers are attempting to standardize evaluation for autonomous AI agents.
Mixture-of-Experts Architectures: A 2026 Survey
Comparing sparsity strategies and routing mechanisms across recent MoE releases.
Long-Context Reasoning: Where Models Still Struggle
An overview of benchmark results probing degradation in extended context windows.
Interpretability via Sparse Autoencoders
How feature-level interpretability methods are helping researchers decode model internals.