NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI: The Em Dash Thief

James Shackell defends the beloved em dash against AI assumptions in writing, refusing to let go of his favorite punctuation. The em dash, a symbol of genuine intelligence to some, now faces scrutiny as a potential indicator of artificial writing.

Exploring the Omniverse: Robot Learning Revolution

Developers can transform workflows using OpenUSD and NVIDIA Omniverse to build robots with humanlike skills. Newton Physics Engine and Isaac GR00T N1.6 advance robot learning with open-source physics simulation and reasoning vision language models.

Combatting Climate Change with Generative AI

Experts are addressing the rising energy demands of generative AI to reduce carbon emissions. Innovations include boosting algorithm efficiency and using sustainable materials in data center construction.

Embracing AI Personhood

OpenAI's GPT-5 chatbot sparks social upheaval, with users expressing confusion and depression over the upgrade. Humanlike AI companions raise mental health concerns, leading to extreme cases like Adam Raine's tragic suicide and a wrongful death lawsuit against OpenAI.

Briggs on AI: Missing the Essence of Home

Australian rapper Briggs warns against AI exemptions from copyright law, highlighting human essence in art creation. He cautions Australia on the risk of AI theft without protection for creatives.

AI-Ready Students: Preparing for the Future

Professors McCann and Sweeney caution against blind trust in AI for learning, emphasizing the need for thoughtful integration in higher education. Excluding AI from education leaves graduates unprepared for a workforce saturated with artificial intelligence, highlighting the importance of teaching critical usage.

The Reality Check for AI Investors

Investors pouring billions into large language model AI, but revenue not matching expectations. Large language model AI seen as game-changer by tech industry, politicians, and investors.

Revolutionizing Clinical Research with AI

MIT researchers developed an AI system for rapid medical image segmentation, allowing users to annotate images with minimal input. This tool could accelerate studies and reduce costs in medical research, without the need for extensive training or resources.