Masterclass from Kimi founder "How Agent Swarms and AI systems actually work at scale"
The Founder of a $20B AI Company Just Explained What Comes After Bigger Models
Instead of watching 2 hours of Netflix tonight, study this 40-minute masterclass from the founder of a $20B China AI company.
It's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale.
I broke it down into the most actionable insights so you can apply them directly.
Here’s what you can learn today:
Why Kimi scales three dimensions at once instead of just adding tokens
Why token efficiency raises the ceiling on intelligence, not just the cost
Why long context is the capability that makes agents runnable for weeks
The 3 reward functions that stop agent swarms from collapsing or cheating
How Kimi fused all three dimensions into K2.5 (and why vision made text smarter)
The 24% token-efficiency jump hiding in Kimi’s next architecture
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