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In this episode of Sidecar Sync, Amith and Mallory dive into OpenAI’s latest innovation: Deep Research. They explore how this powerful AI agent is transforming research by synthesizing vast amounts of information at unprecedented speeds. They also discuss Jevons Paradox—why technological advancements don’t always reduce resource consumption and how this applies to AI’s rapid evolution. Plus, they unpack the implications of AI’s increasing accessibility, from competition among AI models to what this means for associations navigating an AI-driven future.
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🛠 AI Tools and Resources Mentioned in This Episode:
Deep Research ➡https://openai.com
DeepSeek ➡ https://deepseek.com
Gemini 2 Pro ➡ https://ai.google.dev
Llama 3.3 ➡ https://ai.meta.com
Anthropic Claude 3.5 ➡ https://anthropic.com
Grok ➡ https://x.ai
🎧 Chapters:
00:00 - Welcome to Sidecar Sync
03:49 - Blue Cypress Innovation Hubs
06:41 - OpenAI’s Deep Research and What It Does
10:39 - The Confusion of AI Model Naming Conventions
14:27 - o3 Mini: OpenAI’s Best Reasoning Model?
20:08 - AI Integration in Business: Multiple Models
24:19 - What is Jevons’ Paradox?
33:41 - AI, Energy, and the Future of AI
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More about Your Hosts:
Amith Nagarajan is the Chairman of Blue Cypress 🔗 https://BlueCypress.io, a family of purpose-driven companies and proud practitioners of Conscious Capitalism. The Blue Cypress companies focus on helping associations, non-profits, and other purpose-driven organizations achieve long-term success. Amith is also an active early-stage investor in B2B SaaS companies. He’s had the good fortune of nearly three decades of success as an entrepreneur and enjoys helping others in their journey.
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Mallory Mejias is the Manager at Sidecar, and she's passionate about creating opportunities for association professionals to learn, grow, and better serve their members using artificial intelligence. She enjoys blending creativity and innovation to produce fresh, meaningful content for the association space.
📣 Follow Mallory on Linkedin:
https://linkedin.com/mallorymejias