Hardest

आंसुओं से भरी गवाही में अनदेखी की गई चेतावनियों और योजना की कमी का विवरण दिया गया है क्योंकि परिवार Texas के कैंप को फिर से खोलने का विरोध कर रहे हैं। Camp Mystic, Texas Hill Country में लड़कियों का एक ईसाई कैंप है जहाँ पिछले साल गर्मियों में अचानक आई flash flood में 25 campers और दो counselors मारे गए थे, उसके एक निदेशक ने जान गंवाने वालों के परिवारों से आंसुओं के साथ माफी मांगी है। “हमने उस रात अपनी पूरी कोशिश की। आपकी बेटियों को बचाने के लिए यह काफी नहीं था,” Austin में जानलेवा बाढ़ की जांच कर रही Texas House और Senate की एक संयुक्त समिति के पैनल के सामने Edward Eastland ने कहा। “मुझे बहुत खेद है।” पढ़ना जारी रखें...

As the war in Iran continues, ministers debate several options for extending support to households Middle East crisis – live updatesFamilies hardest hit by the looming energy crisis caused by the conflict in the Middle East could be given funds dispensed by local councils, under plans being considered by UK ministers keen to keep a lid on costs.As concerns increase about the impact of rising fuel and energy costs in response to a drawn-out war in Iran, a government official said several options for extending support were being debated inside Whitehall. Continue reading...

Researchers at Texas A&M University have developed what they describe as the most challenging AI benchmark test to date, with results that contradict earlier expectations about artificial intelligence capabilities. The comprehensive study involved a large team of scientists investigating how cutting-edge AI systems perform on extreme difficulty assessments as these models become increasingly sophisticated. The findings suggest that current AI systems are achieving unexpected performance levels on this rigorous evaluation framework, providing important insights into the true capabilities and limitations of advanced machine learning models.

Scientists at Texas A&M University created the most challenging AI test to date, involving over 50 collaborators, to evaluate advanced language models on complex reasoning tasks. Initial results showed even top AI systems struggling significantly, highlighting gaps in current capabilities despite acing simpler benchmarks. The benchmark, detailed in a peer-reviewed paper, pushes boundaries in AI safety and robustness research. Future iterations will incorporate multimodal challenges to further stress-test emerging models.