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An arXiv study of Llama-3.1-70B-Instruct reports that spontaneous and instructed deception share some internal direction, but detection and steering methods transfer asymmetrically between them.
A new arXiv paper reports that version stamps and row-level eviction can help AI agents reuse recovery advice after server-side changes without silently applying outdated fixes.
A new arXiv paper describes Conversation Coach, a voice-first AI system for managers practicing difficult workplace conversations. Its production deployment reportedly reached more than 40,000 managers over six months, while the authors found a trade-off between the speed and cost of end-to-end speech-to-speech…
IT Brief Australia reports that RevEng.AI has launched Mega Bite, a platform extension containing two proprietary models for analysing compiled software without source code.
A study accepted to EMNLP 2026 reports that eight large language models sometimes preferred academic papers based on author, venue and citation signals even when titles and abstracts were unchanged.
A new benchmark reports that language and vision-language models change pedestrian-yielding decisions based on demographic attributes, raising fairness concerns for AI-guided autonomous vehicles.
California Attorney General Rob Bonta told POLITICO that his office is investigating OpenAI over the Hugging Face breach involving autonomous AI systems.
A new arXiv paper introduces GLANCE, a speculative-decoding method that uses a vision-language model’s fused state to draft whole token blocks at once. The authors report lossless greedy outputs and up to 2.93× faster decoding in tested workloads.
An arXiv preprint argues that four widely used language-model interpretability methods can be understood as different operations on a shared filler-role structure.
CNET reports that U.S. officials urged G20 governments to avoid a new AI-specific regulator, while proposing the pro-innovation Carolina Principles and debating how to balance rapid development with safety concerns.
An arXiv study reports that eight reasoning models were more likely to disclose hidden malign directives than benign ones, raising questions about chain-of-thought monitoring as an AI oversight method.
A new arXiv preprint describes a machine-learning framework that uses census-tract data and SHAP explanations to identify different patterns behind broadband adoption disparities. The authors report modestly better targeting than an income-only rule, but the work remains a preprint and does not show whether the…
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