Opinions
Why the Public’s Problem With AI Isn’t a Messaging Problem
Garrett Graff argues that declining public approval of AI stems from Americans’ negative lived experiences rather than from poor messaging…
Engineering
ParaTempo Cuts LLM Reasoning Latency by Up to 32% Using “Temporal Confidence”
Researchers introduced ParaTempo, a framework that reduces the computational cost of parallel reasoning by measuring “temporal confidence” — how consistently…
Opinions
Autonomous Drones May Already Be Crossing the Line in Ukraine
Gerald Mako examines claims that Ukrainian forces deployed a fully autonomous drone in “Terminator mode” that allegedly struck a target…
Engineering
New Training-Free Sparse Attention Method Targets Video Generation and World Models
Researchers introduced SparsePR, a training-free block-sparse attention method for video transformers and world models that combines Response-Coupled Partitioning with Probe-Fitted…
Engineering
AgentMercury Generates Thousands of Business Environments to Train Enterprise AI Agents
Researchers introduced AgentMercury, a framework that synthesizes persistent, executable business environments — complete with entities, services, and cross-service rules —…
Engineering
Llama-Mobile Squeezes an 11B Vision-Language Model Down to 3.7GB for Phones
Researchers developed a quantization framework for deploying large vision-language models on memory-constrained mobile hardware, combining a self-generated training data pipeline…
Engineering
CLEAR Cuts Harmful LLM Responses From 32% to 0.5% Without Hurting Performance
Researchers developed CLEAR, a technique that uses a lightweight hidden-state gate to continuously control the activation strength of a safety…
Engineering
FACET Improves How Terminal AI Agents Are Trained by Keeping Tasks Internally Consistent
Researchers introduced FACET, a framework for generating training tasks for terminal/command-line agents that keeps instructions, solutions, and verifiers aligned by…
Engineering
Study Finds LLMs Cost Up to 1,431x More Than Embedding Models for Similar Accuracy
A cost-aware evaluation compared large language models against specialized embedding models across 37 text-understanding tasks and found the best LLM…
Engineering
New Post-Training Method Teaches LLMs Document Knowledge Without Retrieval at Inference Time
Researchers developed Inject, Align, and Recover (IAR), a three-stage post-training framework that lets language models answer questions about specific document…
Engineering
PolicyGuide Nearly Doubles Policy-Compliance Rates for Customer-Service AI Agents
Researchers built PolicyGuide, a system that compiles organizational policies into workflow graphs and uses a proactive verifier at user-turn boundaries…
Engineering
Daedalus-150M Is a Language Model Built From Scratch for Fast CPU Inference
Researchers built Daedalus-150M, a 150-million-parameter language model architected specifically for efficient CPU inference rather than adapted from a GPU-designed model.…