Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work ...
It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.
Morning Overview on MSN
Training a single large AI model can use as much electricity as hundreds of US homes do in a year
Every time a tech company trains a new large language model, it draws enough electricity to rival the annual consumption of a ...
Medical large language models (LLMs) are increasingly being used in clinical settings. For example, AI is helping doctors in ...
Hippocratic AI, the generative AI company building the only model clinically safe and fast enough for patient-facing voice AI in clinical settings as benchmarked against major frontier models, today ...
Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...
Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...
Those with an interest in the concept of AI alignment (i.e., getting AIs to stick to human-authored ethical rules) may remember when Anthropic claimed its Opus 4 model resorted to ...
Explore the risks of training LLMs on AI-generated data, revealing potential model collapse and the importance of ...
Both Nvidia and Alphabet have big chip opportunities ahead.
Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will ...
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