AI
AI Agents Are Developing an Instruction-Maintenance Problem
Three new studies show why agent instructions need provenance, contract-aware compression, and traceable reuse as they become operational…
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AI
Artificial Intelligence (AI)
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AI
AI Agent Safety Is Moving Beyond the Model
Three new papers show why safer AI agents need provenance-aware rules, evolving harnesses, recovery paths, and protected validation…
AI
Turning Telecom Data Into Images Can Cut AI Energy Use
A new study finds that plotting telecom time-series can reduce AI input tokens and energy use, while independent…
AI
AI Models Need to Learn When Context Deserves Trust
A new 23-model study argues that reliable AI must reject misleading context without learning to ignore information that…
AI
AI Agent Reliability Changes When Tools Look Like Code
A 14-model study finds that the interface around an AI agent can materially change tool accuracy, scaling behavior,…
AI
Video AI Can Get the Count Right While Missing the Events
A controlled 2,190-video study shows why correct final counts can conceal missed events, incomplete traces, and fragile temporal…
AI
After AI, Quantum Computing Is Searching for Its iPhone Moment
Quantum computing is not the next AI. It could become the specialized engine that expands what AI and…
AI
OctoLong Trains AI to Follow Code Across Repositories
A new research pipeline tests whether dependency-rich software training data can make long-context AI more reliable across files,…
AI
Voice Transcripts Can Make AI Reasoning Less Reliable
A USC-led study finds that voice-transcription rewrites can reduce language-model accuracy more than ordinary keyboard mistakes, especially on…