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February 5, 2025 48 mins

Co-hosts Mark Thompson and Steve Little share their predictions for artificial intelligence developments in 2025, with a special focus on how these changes will affect genealogists and family historians.

They explore the emergence of AI agents, the shift to running language models locally on personal devices, and the introduction of chatbots to social media platforms. Mark and Steve also discuss how AI writing tools will become mainstream, even as costs decrease and capabilities increase.

Their predictions include both opportunities and challenges, examining which tools may thrive and which may disappoint in the coming year. They conclude with "anti-predictions" – capabilities that, despite high hopes, probably won't materialize in 2025.

Timestamps:

What We Can Look Forward to In 2025

01:02 AI Agents: The Next Big Thing

08:06 Local Language Models: Improved Privacy and Security

13:09 Social Media Chatbots: Coming to Your Groups

18:24 AI Writing Tools: The New Normal

24:16 AI Costs: Dropping Fast

30:43 The AI Horse Race: Who Will Lead?

Anti-Predictions: What Won't Happen in 2025

36:01 Handwritten Text Recognition

40:21 AI Generated Family Trees and Diagrams

44:06 Generated Text in Images

Resource Links:

Using Claude for 'Computer Use' Tasks

https://docs.anthropic.com/en/docs/build-with-claude/computer-use

OpenAI's Operator Agent

https://openai.com/index/introducing-operator/

Facebook's New AI Tool for Groups

https://aigenealogyinsights.com/2024/10/22/exploring-facebooks-new-ai-tool-for-groups/

What to Know About DeepSeek and How It Is Upending A.I. https://www.nytimes.com/2025/01/27/technology/what-is-deepseek-china-ai.html

Trump's $500B Stargate AI Initiative https://www.forbes.com/sites/ronshevlin/2025/01/23/trumps-ai-push-understanding-the-500-billion-stargate-initiative/

Tags:

artificial intelligence, technology, genealogy, family history, AI predictions, AI agents, local AI, social media, chatbots, AI writing, language models, OpenAI, DeepSeek, privacy, security, AI costs, machine learning, computer automation, research tools, future technology

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