'Krapivin was not held back by the conventional wisdom for the simple reason that he was unaware of it. “I did this without knowing about Yao’s conjecture"'

https://www.quantamagazine.org/undergraduate-upends-a-40-year-old-data-science-conjecture-20250210/

Many such cases of progress being stifled by the chained elephant.

2/ AI agents are becoming the interface between users and next-gen applications.

But there's a problem: existing agents lack verifiability.

Their actions, memory, and decision-making are obscured in centralized black boxes.

3/ To understand how we're solving this, let's break down what makes an agent tick:

🧠 LLM (brain)
💾 Memory (context)
🛠️ Tools (actions)
⚙️ Orchestrator (glue)

Each component needs verifiability for bias detection and commitment enforcement. https://t.co/BNY1og0sZj

EigenLayer

https://x.com/eigenlayer/status/1886880697190957116?s=46