Ken Collins, an AWS Serverless Hero and AI application builder, shares his insights on the evolving landscape of personal AI. He discusses creating AI assistants that can revolutionize daily workflows, notably through tools like Notion. The conversation dives into the challenges of AI hallucinations and the concept of 'temperature' affecting AI responses. Ken also explores the future of autonomous AI agents and the potential for tailored models to assist in personal project management, making AI a true companion in our lives.
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volunteer_activism ADVICE
Getting Started with AI Workflows
Start with long documents in large context windows like Claude Projects or Google Gemini.
Categorize documents with tags for better retrieval.
insights INSIGHT
Knowledge Retrieval in AI
Tagging notes is crucial for effective retrieval, even with semantic anchoring.
Current AI tools often retrieve "salt and pepper" knowledge, not deep insights.
question_answer ANECDOTE
O1 Preview for Meeting Summaries
Ken Collins uses O1 Preview for meeting summaries, transcribing with Mac Whisperer locally.
He values the reasoning steps O1 Preview provides, which OpenAI plans to remove.
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Bret and Nirmal Mehta are joined by Ken Collins to dig into using AI for more than coding, and if we can build an AI assistant that knows us.
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They touch on a lot of tools and platforms. "We're bit all over the place on this one, from talking about AI features in our favorite note taking apps like Notion, to my journey of making an open AI assistant with all of my Q&A from my courses, thousands of questions and answers, to coding agents and more."
Ken is a local friend in Virginia Beach and was on the show last year talking about AWS Lambda, and we've both been trying to find value in all of these AI tools for our day to day work.
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