ScienceTrace

Can We Control AI? The Real Challenge of Keeping Humans in Control

ScienceTrace Special Report | AI Safety • Alignment • Human Oversight

Stop Using Your ISP’s Default DNS: How to Switch to a Private DNS

After researching default DNS for the past few days, some really alarming things came to light.... Your phone uses your ISP's default DNS — here's exactly how to switch to a faster, more private one.

The Instruction Provenance Problem in Autonomous AI Agents

ScienceTrace Research Proposal | Autonomous AI agents that read external content and call tools face a structural blind spot: they cannot reliably tell an instruction from their authorized user apart from one hidden inside content they merely read. We define this instruction provenance problem and propose Provenance-Bound Instruction Graphs (PBIG), a lineage-tracking framework for gating agent actions on instruction origin rather than content alone.

Where Should a Reasoning Model Spend Its Thinking? A Proposed Uncertainty-Adaptive Test-Time Compute System

ScienceTrace Research Proposal | We propose UARCS, an inference-time system that allocates a fixed test-time compute budget across a reasoning trajectory using step-level calibrated uncertainty, rather than spending it uniformly or after the fact.

Beyond Detection and Tracking: A Proposed Deep Learning Framework for Motion, Uncertainty, and Anomaly Understanding in Video

ScienceTrace Research Proposal | We propose DCMU-Net, a deep learning framework that goes beyond conventional object detection and tracking to jointly model motion patterns, trajectory uncertainty, environmental context, and unusual movement in video.

Sublime: A New Sketch Algorithm Rethinks How Big Data Systems Track Endless, Skewed Data Streams

A SIGMOD 2026 paper called Sublime redesigns the sketches that let big-data systems count trillions of events in real time, with memory and error that adapt as the stream keeps growing.