LLM Reasoning
2 published articles
LLMs & Models4 min read
Research Digest
The simple topology trick that beats prompt magic in LLM induction tasks
A new methodology called Hourglass reasoning enforces strict context isolation between induction, deduction, and implementation stages, passing only a compressed symbolic rule between them. On ARC-AGI-2, it raises best-of-5 accuracy by up to 14 points over iterative refinement; on ChipBench Verilog synthesis, it nearly doubles accuracy with GPT-5.5. Ablations confirm the topology itself drives the improvement.
2026-07-31
Labs & Research4 min read
Paper 2606.23050 decoded
A 33-page preprint just landed. Here's what it reveals about where AI is heading
A 33-page preprint, paper 2606.23050, released only five days ago, marks a serious contribution to AI research. This article unpacks its methodology, key findings, and what it signals for the trajectory of machine learning and natural language processing.
2026-07-07