AI & ML Research 24 Hours

Last updated: September 4, 2026, 2:25 PM ET

AI & ML Research

Default 50/50 traffic splits in A/B tests are suboptimal when treatment variants carry heterogeneous costs. Cost-based sampling weights correct for the imbalance, allocating more users to cheaper arms while preserving statistical power.

GPU disaggregation — splitting prefill from decode — is only worthwhile at massive scale. Three conditions must hold before the architecture pays off; below roughly a thousand GPUs, chunked prefill remains the smarter default.

Power BI users facing the shift to Microsoft Fabric will find that the core report-building experience is largely unchanged. However, data storage, gateway management, and capacity scaling have all moved under new governance models.

Running a dozen parallel Claude Code sessions doesn't require a top-tier workstation. Efficient queueing and API-side concurrency let developers push multiple coding agents on modest hardware, trading throughput for lower upfront cost.

AI & Defense Tech

Drone telemetry from the battlefields in Ukraine is forming a new Wild West marketplace where raw sensor data is bought and sold with limited regulation. The daily download edition covers how that data now feeds everything from targeting models to insurance algorithms.