AIE World's fair Recap of Day 2

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AI Blindspot

Yogendra Miraje

15 episodes

1 week ago

AI blindspot is a podcast that explores the uncharted territories of AI by focusing on its cutting-edge research and frontiers

This podcast is for researchers, developers, curious minds, and anyone fascinated by the quest to close the gap between human intelligence and machines.

As AI is advancing at Godspeed, it has become increasingly difficult to keep up with the progress. This is a human-in-loop AI-hosted podcast.

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All content for AI Blindspot is the property of Yogendra Miraje and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

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AIE World's fair Recap of Day 2

AI Blindspot

16 minutes 12 seconds

4 months ago

AIE World's fair Recap of Day 2

This episode covers AIE World's Fair Recap of Day 2 focusing on Keynotes & SWE Agents.

🧠 Key Takeaways:

Moore’s Law for AI Agents: Capability is doubling every 70 days—yes, you read that right.
Specifications = “New Code”: Aligning human intentions/values directly with model behavior—beyond old-school code artifacts.
Evals: Absolutely critical for shipping AI, enabling rapid experimentation and tight feedback loops.
Dagger “Container Use”: Secure, customizable, and multiplayer-ready agent environments.
Thinking in Gemini: Models now iteratively “think” for smarter, dynamic responses with variable compute.
Google Jules: Async coding agent supporting multitasking and parallel experimentation.
GitHub Copilot Agent Mode: Autonomous searching, task execution, and self-healing for dev workflows.
Brain Trust Loop Agent: Automated prompt, dataset, and scorer optimization—total eval game-changer.