Networks, Laws, and Learning: AI’s Expanding Footprint

Episode Summary

In this episode, we unpack four major developments shaping the future of tech, regulation, and AI. We begin with the UK’s Competition and Markets Authority proposing to designate Google with "strategic market status," a move that could force fairer search rankings and boost market competition. Next, we dive into a critical question for businesses: is your network ready for AI? We explore insights from a new report showing how AI success hinges on high-performance, automated networks. Then we highlight Atlantic Cape Community College’s bold new AI program, funded by the NSF, aimed at preparing students for tomorrow’s workforce. Finally, we examine a controversial study on Meta’s LLaMA 3.1 model, revealing significant copyright risks and legal uncertainty surrounding large language model training.

 

What You’ll Learn in This Episode:

• How the UK is leading a regulatory push to rebalance Google’s market dominance
• Why enterprise AI success depends on upgrading network infrastructure
• How a community college is transforming local education with AI degrees and certificates
• What new research reveals about copyright risks in large language models
• Why legal scrutiny of AI-generated content is heating up globally

Key Quotes from the Episode:

“With over 90% of UK search traffic going through Google, the stakes for fair competition have never been higher.”

“Networks will make or break enterprise investments in AI.” – Shamus McGillicuddy, EMA

“Students can complete the program in just 12 months, earning stackable credentials designed to meet real-world tech needs.”

“The LLaMA 3.1 model memorized over 42% of Harry Potter and the Philosopher’s Stone—a fact with serious copyright implications.”

“As lawsuits pile up and AI models grow more powerful, the line between learning and copying is harder than ever to define.”

 

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• Host: Manish Balakrishnan
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