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The rise of AI-driven automation promises efficiency, but at what social cost? As machines replace human roles faster than we admit, are we preparing for a future where the middle class becomes obsolete? It’s time to confront the uncomfortable truths behind the automation wave.
Zyphra, AMD, and IBM have collaborated to demonstrate that AMD’s GPU platform can effectively support large-scale AI model training with the ZAYA1 model, marking a significant step toward diversifying AI infrastructure beyond NVIDIA dominance.
New legislation in New York requires businesses employing AI algorithms for personalized pricing to disclose to customers that prices are determined using their personal data.
A pioneering collaboration between Irish drone delivery firm Manna, Doordash-owned Wolt, and Finnish food startup Huuva is reshaping food delivery in Finland through autonomous drone technology.
Anthropic claims to have resolved the persistent challenge of AI agent memory loss during extended tasks by introducing a novel two-agent system in its Claude Agent SDK, enabling continuous work across multiple sessions.
Google is set to dramatically increase its AI infrastructure, aiming to double server capacity every six months. This ambitious expansion is designed to meet soaring AI demand and enhance cloud service capabilities, positioning the company at the forefront of AI technology development.
Cochlear’s Nucleus Nexa System is the first cochlear implant integrating machine learning algorithms on-device, enabling personalized hearing enhancements, over-the-air updates, and ultra-low power consumption for decades-long operation inside the human body.
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While large language models typically avoid overtly biased language, they can still infer demographic details and reveal implicit biases, raising concerns over fairness and AI safety.
DeepSeek, the Chinese AI assistant known for its R1 model, has launched Math-V2, a new model designed to deliver high-precision mathematical reasoning amid previous scrutiny over security concerns.