It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities…
Tag: AI Security
Constraint-Driven Context Engineering: Designing Domain Interfaces for AI Systems
arXiv:2609.27354v1 Announce Type: cross Abstract: Generative AI systems are increasingly deployed to address domain problems. These systems operate under…
U.S. bill proposes permanent ban on artificial superintelligence and creation of new federal AI agency
Senator Bernie Sanders and Representative Greg Casar introduced a bill on September 23 that would permanently ban the development and use of artificial…
Listening and Mirroring: The Effects of Verbal Attunement and Behavioral Mimicry on Social and Empathic Perceptions of Embodied AI Agents in VR
arXiv:2609.27246v1 Announce Type: cross Abstract: As embodied agents take on increasingly social and relational roles in VR, visual realism and embodiment…
Meta gives its Muse AI agent video avatars, email addresses, and Mac control
At Meta Connect 2026, Meta expanded its AI agent, Muse, and unveiled several new devices. The article Meta gives its Muse AI agent video avatars, email…
Safety Nudges: User-Facing Interventions for Real-Time AI Risk Awareness
arXiv:2609.26865v1 Announce Type: cross Abstract: Conversational AI systems can pose safety risks to their users such as hallucination, sycophancy,…
StudentBench: AI and human tutoring yield equivalent GRE learning gains
arXiv:2609.28470v1 Announce Type: new Abstract: Artificial intelligence offers an unprecedented opportunity to augment human capabilities, yet progress at…
An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act’s Code of Practice
arXiv:2609.28335v1 Announce Type: new Abstract: Claims about AI safety reach audiences well beyond the AI community, yet many rely on opaque evidence or…
Reachable Global Optimization in AI Systems: How Global Is Global?
arXiv:2609.27855v1 Announce Type: new Abstract: AI systems increasingly claim to optimize prompts, policies, architectures, plans, tool-use trajectories,…
WhatWorkedBench: Benchmarking Experimental Understanding in AI Agents
arXiv:2609.27490v1 Announce Type: new Abstract: AI research agents need reliable knowledge of how their experiments change outcomes. We introduce…
