NEWS IN BRIEF: AI/ML FRESH UPDATES

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Teaching AI: Fine-tuning Amazon Nova with Feedback

Foundation models excel at general tasks, but customizing models with business knowledge is crucial. Amazon introduces reinforcement fine-tuning for Nova models, shifting from imitation to evaluation learning paradigm, offering tailored solutions for code generation and math reasoning.

Anthropic Stands Firm Against Pentagon AI Removal

Pete Hegseth threatens to cancel $200m contract unless given unfettered access to Anthropic's Claude model. Anthropic refuses Pentagon's demand to remove safety precautions from AI model, risking designation as "supply chain risk."

ChatGPT Health: A Deadly Oversight

Study: ChatGPT Health fails to recommend hospital visits when necessary, risking harm. OpenAI's AI platform overlooks urgent care and suicidal ideation, potentially endangering users' lives.

Training AI: The Future of Work

Workers express feeling devalued by AI technology, fearing a decline in work quality. IMF analysis predicts AI impact on 40% of global jobs, likening it to a labor market tsunami.

Protecting Original Journalism from AI

UK media companies, including BBC and Financial Times, seek global frameworks to protect journalism from unauthorized use by AI firms. Guardian-led coalition aims to ensure fair compensation for original content to ensure industry sustainability.

Nvidia Thrives in Data Center Boom, Defying AI Bubble Fears

Nvidia continues to exceed Wall Street's expectations with higher than expected revenues from its data center business, driven by AI infrastructure investments. The chipmaker's dominance in the market is highlighted by its 75% year-over-year growth and staggering $120bn total profit for the fiscal year.

AI Missteps: Meta's Tips Under Fire

Meta's AI moderation software inundates US ICAC taskforce with low-quality reports, hindering child abuse investigations. New Mexico lawsuit alleges Meta prioritizes profits over child safety, while company defends changes made to platform protections.

Unlocking the Secrets of Cell Biology with AI

Researchers at the Broad Institute of MIT and Harvard and ETH Zurich/Paul Scherrer Institute developed an AI framework that analyzes cell data from different measurements to provide a holistic view, aiding in understanding diseases like cancer and Alzheimer's. Lead author Xinyi Zhang emphasizes the importance of combining multiple measurement modalities to gain a fuller picture of a cell's stat...