Apophenia is the mind’s tendency to find meaning in randomness. It shapes creativity, emotion, and misunderstanding, ...
The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...
Finally, regulatory pressure is tightening. The RBI’s Digital Lending Directions now require an explicit human-in-the-loop checkpoint for any AI-driven credit decision, and the US SEC has begun ...
The global spread of health misinformation is endangering public health, from false information about vaccinations to the peddling of unproven and potentially dangerous cancer treatments.1,2 The ...
Abstract: Effective prompt tuning is critical for using generative AI models, such as large language models (LLMs) and small language models (SLMs), for domain-specific tasks. However, optimizing ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
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