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Microsoft's research team has identified a method to break the safety guardrails of 15 language models using a single prompt. This finding raises concerns about the robustness of AI safety measures.
Researchers at UCSD have unveiled a new type of bulk RRAM that could help overcome the memory wall in AI applications by allowing computation to occur within memory, enhancing efficiency for neural networks.
On Safer Internet Day, Google and YouTube announced updates to enhance online safety for kids and teens, including improved parental controls and new educational resources.
A new concept in AI interpretability, termed introspective interpretability, aims to enhance how AI models explain their internal processes and decisions, potentially improving user understanding and trust.
A machine learning algorithm has created detailed maps of the mouse brain, identifying 1,300 subregions by analyzing genetic data from millions of cells. This breakthrough could enhance our understanding of brain organization and function.
Damon McMillan's latest paper investigates context engineering for large SQL schemas in agentic systems, revealing insights from 9,649 experiments across various models and formats.
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The trial in Los Angeles County Superior Court marks a significant moment as major social media companies, including Meta and Google, are being held accountable for allegedly harming children through addictive design features. The case centers around a 19-year-old plaintiff, KGM, who claims her mental health deteriorated due to social media addiction. The outcome could influence numerous similar lawsuits and reshape how tech companies manage child users. The trial is expected to last six to eight weeks, with implications for the broader tech industry as it faces increasing scrutiny over its impact on youth. The case draws parallels to past Big Tobacco trials, highlighting the potential for significant changes in regulation and corporate responsibility.