The War Between Open Source, Open Weight, and Closed AI Models
Timothy Prickett Morgan examines the competitive dynamics between proprietary closed-source AI models, open-weight models, and fully open-source alternatives. He argues…
Timothy Prickett Morgan examines the competitive dynamics between proprietary closed-source AI models, open-weight models, and fully open-source alternatives. He argues…
Colin Gabler writes that artificial intelligence will transform, rather than eliminate, the value of a college degree. He argues that…
An editorial in the Rutland Herald warns that AI chatbots pose significant mental health risks to teenagers who increasingly turn…
A trial began in Oakland, California, where a coalition of 29 U.S. states is suing Meta over allegations that it…
Nvidia agreed to guarantee up to $105 billion in lease and power payment obligations to support a new data center…
Anthropic published its August 2026 Risk Report, raising its assessment of catastrophic misalignment risk in high-stakes settings from “very low”…
Anthropic’s annualized revenue run rate reached $65 billion by late July 2026, up sharply from $47 billion in May and…
Ventor-QTest is a black-box auditing framework for assessing the inference quality of vendor-hosted large language model APIs without access to…
Researchers improved the theoretical upper bound on the matrix multiplication exponent to 2.371177, down from the prior best of 2.371339,…
Researchers at the University of Oxford built a 128-GPU cluster from second-hand NVIDIA V100 processors, costing about $22,000, and used…
Researchers identified a vulnerability in retrieval-augmented generation systems in which adversarial document injection causes models to answer with false confidence…
Researchers from Tsinghua University proposed an ACID-compliant framework that adapts classical database transaction principles to autonomous LLM agent execution, introducing…