In this week’s episode, hosts Mark Thompson and Steve Little explore Meta AI 3.1's huge large language model upgrade, as well as FamilySearch's innovative, AI-based summarization feature. They then address growing concerns about AI hype. In this week’s Tip of the Week, they share their approach for mastering the fine art of summarization, a crucial AI skill for genealogical research. The show rounds off with rapid-fire discussions of Google's privacy policy update, Apple's response to accusations made about their training data, and exciting developments in AI-powered education. Whether you're a tech enthusiast or a family history buff, this episode offers invaluable insights into how AI is revolutionizing genealogy and beyond.

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In the News

01:01 Meta AI 3.1: A Huge Upgrade, and it’s Free!

13:09 FamilySearch's New AI Summarization Feature

20:16 Addressing AI Hype Concerns

Tip of the Week

24:59 AI Building Blocks: Summarization

AI RapidFire

31:25 Google's Privacy Policy Update

36:57 Apple's Response to Training Data Accusations

40:02 Apple vs. Google: Platform Competition Heats Up

44:59 AI in Education: New Developments and Partnerships

Meta AI: https://meta.ai

FamilySearch: https://www.familysearch.org/en/labs/

OpenAI (ChatGPT): https://openai.com/chatgpt

Anthropic (Claude): https://www.anthropic.com

Google (Gemini): https://gemini.google.com/app

Microsoft: https://www.microsoft.com/en-us/ai

Facebook: https://www.facebook.com

Apple AI: https://www.apple.com/ai

YouTube: https://www.youtube.com

Khan Academy: https://www.khanacademy.org

Google DeepMind: https://www.deepmind.com

Andrej Karpathy's Eureka Labs: https://eurekalabs.ai/

Tags: Artificial Intelligence, Family History, Genealogy, Large Language Models, Meta AI, Facebook AI, Family Search, AI Summarization, OCR, Land Records, AI Model Comparison, Open Source AI, AI Adoption, AI Investment, AI Winter, AI Ethics, Data Privacy, Training Data, Google Privacy Policy, YouTube Closed Captions, Apple AI, AI Research, Platform Competition, AI Ecosystems, AI in Education, Khan Academy, Microsoft AI, Andrej Karpathy, AI Tutoring, AI Learning