Large language models are biased — local initiatives are fighting for change - Nature
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9PZHItU2RDNkZhZWhqU3VMdW53RXNFSGluVjJLdk1KVWVDU2dNV0ZTOGIyb1JTdzFJcmRGdFo3R1hOQ2tWeU1FRFc0bHRISTB6cW9OLXlZWWRocjZnVnhv?oc=5" target="_blank">Large language models are biased — local initiatives are fighting for change</a> <font color="#6f6f6f">Nature</font>
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modellanguage modelBayesian teaching enables probabilistic reasoning in large language models - Nature
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Z.ai Launches GLM-5V-Turbo: A Native Multimodal Vision Coding Model Optimized for OpenClaw and High-Capacity Agentic Engineering Workflows Everywhere
In the field of vision-language models (VLMs), the ability to bridge the gap between visual perception and logical code execution has traditionally faced a performance trade-off. Many models excel at describing an image but struggle to translate that visual information into the rigorous syntax required for software engineering. Zhipu AI’s (Z.ai) GLM-5V-Turbo is a vision […] The post Z.ai Launches GLM-5V-Turbo: A Native Multimodal Vision Coding Model Optimized for OpenClaw and High-Capacity Agentic Engineering Workflows Everywhere appeared first on MarkTechPost .

Announcing: Mechanize War
We are coming out of stealth with guns blazing! There is trillions of dollars to be made from automating warfare, and we think starting this company is not just justified but obligatory on utilitarian grounds. Lethal autonomous weapons are people too! We really want to thank LessWrong for teaching us the importance of alignment (of weapons targeting). We couldn't have done this without you. Given we were in stealth, you would have missed our blog from the past year. Here are some bang er highlights: Announcing Mechanize War Today we're announcing Mechanize War, a startup focused on developing virtual combat environments, benchmarks, and training data that will enable the full automation of armed conflict across the global economy of violence. We will achieve this by creating simulated envi
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