Just like the internet, Bitcoin’s value is derived from its network of participants The more participants, the more value… The more value, the more security… The more value and security, the more participants It’s a self incentivizing loop of Metcalfe’s law and the difficulty adjustment Confusing “network effects” in a free market with a “Ponzi scheme” is going to confuse some people for decades to come #TB
Nitter
Ron Sovereignty Swanson⚡️🗝️ (@RonSwanonson)
Just like the internet, Bitcoin’s value is derived from its network of participants
The more participants, the more value…
The more value, the more security…
The more value and security, the more participants
It’s a self incentivizing loop of Metcalfe’s…
The more participants, the more value…
The more value, the more security…
The more value and security, the more participants
It’s a self incentivizing loop of Metcalfe’s…
Model Whisperers How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, Google
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How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, YouTube Ads
Getting an AI agent to behave the way you want isn't just about writing better prompts. In real systems, behavior emerges from a loop: prompts, evals, iteration, and feedback. Small changes in any part of that loop can completely change outcomes.
The Google…
The Google…