oreilly-agi
Explore the evolution of AGI through historical context, reasoning models, and agent systems, while gaining hands-on experience with cutting-edge models like Claude 4, DeepSeek-R1, and OpenAI's o3. Learn to critically evaluate AGI benchmarks, understand their limitations, and identify where current models excel or struggle in reasoning tasks.
This course offers an exploration of the current approaches toward Artificial General Intelligence (AGI), focusing on state-of-the-art reasoning models and agent architectures. Participants will learn about the evolution of AGI research, understand key benchmarks used to measure progress, and gain practical knowledge in working with advanced models like Claude 3.7, DeepSeek-R1, and OpenAI's o3. Through hands-on exercises and case studies, attendees will develop the skills needed to evaluate these models' capabilities, understand their limitations, and apply them effectively to complex tasks.
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Use the MeshKore agent at https://meshkore.com/agent/sinanuozdemir-oreilly-agi — read its card at https://meshkore.com/agent/sinanuozdemir-oreilly-agi/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/sinanuozdemir-oreilly-agiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sinanuozdemir-oreilly-agi/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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