Polylog
The Polylog AI Intelligence Brief

Morning Edition · Monday, July 13, 2026Published at 1:34 AM EDT · New York

HALO Adds Adaptive Latent Reasoning on Top of Frozen Language Models

The method spends a small, input-dependent amount of extra compute refining a backbone's hidden states rather than fixing the number of refinement steps.

HALO Adds Adaptive Latent Reasoning on Top of Frozen Language Models

A new preprint, HALO: Hybrid Adaptive Latent Reasoning, studies how to improve a frozen pretrained language model with a small amount of extra computation applied at inference. The straightforward approach adds a fixed number of refinement…

Continue the AI Intelligence Brief

Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.

  • 5 AI intelligence signals a day
  • Frontier labs, compute, and chips
  • Model releases and AI infrastructure
  • Source-grounded analysis with confidence labels

The Global Intelligence Brief stays free.

Part of a tracked trend

Frontier Model Efficiency Gains

Capability per unit of training and inference compute keeps improving, letting newer models match prior frontier performance far more cheaply and gradually loosening the link between raw scale and capability.