Researchers from Kakao Corp introduced a compute-efficient hyperparameter transfer framework for large-scale Mixture-of-Experts models, adapting Maximal Update Parameterization (μP) to…
A new paper argues that individual AI agents hit a ceiling on tasks requiring parallel execution, specialized expertise, and persistent…
Gary Marcus reported that new polling shows U.S. young adults have shifted from broad enthusiasm to concern about artificial intelligence.…
A Washington Post opinion piece argues that AI’s growing ability to design novel viruses illustrates both the technology’s promise and…
Garrett Graff argues that declining public approval of AI stems from Americans’ negative lived experiences rather than from poor messaging…
Researchers introduced ParaTempo, a framework that reduces the computational cost of parallel reasoning by measuring “temporal confidence” — how consistently…
Gerald Mako examines claims that Ukrainian forces deployed a fully autonomous drone in “Terminator mode” that allegedly struck a target…
Researchers introduced SparsePR, a training-free block-sparse attention method for video transformers and world models that combines Response-Coupled Partitioning with Probe-Fitted…
Researchers introduced AgentMercury, a framework that synthesizes persistent, executable business environments — complete with entities, services, and cross-service rules —…
Researchers developed a quantization framework for deploying large vision-language models on memory-constrained mobile hardware, combining a self-generated training data pipeline…
Researchers developed CLEAR, a technique that uses a lightweight hidden-state gate to continuously control the activation strength of a safety…
Researchers introduced FACET, a framework for generating training tasks for terminal/command-line agents that keeps instructions, solutions, and verifiers aligned by…
