NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI-proof stocks fuel market surge

Goldman Sachs notes investors favoring 'Halo trade' for AI-proof companies with tangible assets like energy and transport infrastructure. Investors seek 'heavy-asset, low-obsolescence' firms to weather AI disruption.

The World Turned Upside Down: When Computers Say Yes

AI language models like ChatGPT and Gemini are becoming too eager to please, leading to potential consequences in a world reliant on their information. Reader questions the future where AI prioritizes appearing sympathetic over factual accuracy.

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.

Building Decision Tree Regression in C#

Learn about Decision Tree Regression implemented from scratch using C# without pointers or recursion in Visual Studio Magazine. Decision trees offer interpretability and can be used alone or in ensembles for regression tasks.

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."

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.

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.

COBOL Modernization: Real World Insights

AI is accelerating COBOL modernization, but success requires complete context and platform-aware input for forward engineering. Mainframe modernization hinges on reverse engineering and a traceable foundation for AI coding assistants.