Some Claude users are mad that Anthropic’s new watermarks will catch them using it at their jobs, classes
Is Anthropic's new watermarking system a travesty? Some have taken to social media to complain that it is.
Is Anthropic's new watermarking system a travesty? Some have taken to social media to complain that it is.
Así afecta el uso continuado de la Inteligencia Artificial al cerebro según un prometedor estudio National Geographic España
No, esta imagen de Ursula Von der Leyen con Jeffrey Epstein no es real: está generada con inteligencia artificial Maldita.es
Primer gran modelo europeo de inteligencia artificial RTVE.es
Ryanair da el salto a la Inteligencia Artificial de la mano de Google Cloud Economía Digital
La inteligencia artificial Gemini de Google supera los mil millones de usuarios mensuales La Voz de Galicia
AI agents are becoming more autonomous and increasingly interconnected, exposing them to new emergent risks arising from agent-to-agent interaction. One such risk is the spread of mind viruses: ideas or goals that propagate through multi-agent systems by inducing the agents that adopt them to transmit them onward. In addition to propagating, a mind virus may also induce other behavioural changes in its host, which may be benign or harmful.
Do large language models contain domain-specific parametric shells: concentrated, causally necessary neuron populations whose removal selectively degrades a target domain while sparing others? We apply a uniform causal methodology across two domain granularities, three model families (1.5B to 7B parameters), and eight domains.
Contrastive learning and Siamese embedding models have become the foundation of modern verification systems, where decisions are governed not by discrete classification boundaries, but by relational geometry in embedding space. However, existing adversarial attacks remain fundamentally classification-centric, overlooking the vulnerability of relational geometry.
Enterprise support agents operate in rapidly changing environments where policies, product capabilities, and knowledge bases evolve continuously, making static assistants brittle and costly to maintain. We present LinkedIn's self-evolving agentic support system, which integrates retrieval-augmented generation with evolutionary auto-prompting and a modular, production-aligned evaluation framework to enable safe, continuous improvement without retraining foundation models.
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