Research

Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning

Adaptive compute allocation improves multi-turn reasoning efficiency by concentrating processing budget on harder reasoning steps rather than distributing resources uniformly.

Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline

Research paper proposing adaptive allocation of computational resources across multi-turn reasoning steps in AI systems. Rather than uniform compute per turn, the approach concentrates "thinking budget" on harder reasoning turns for improved efficiency.

Read original at arXiv CS.LG (Machine Learning)

NASA’s Artemis II Moon mission shows space-to-Earth laser comms can scale

Artemis II proved that $5M laser terminals can relay 260 Mbps 4K video from lunar orbit—ten times cheaper than legacy systems—validating commercial deep-space communications infrastructure at scale.