Masaki Mu
In the middle of the journey, I came to myself.
Latest
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36th Annual Graham & Dodd Event: A Conversation with Li Lu
Edited transcript of the 36th Annual Graham & Dodd Event at Columbia Business School, featuring Himalaya Capital Founder and Chairman Li Lu in conversation with Professor Tano Santos on the six core principles of value investing, generative AI ('tool vs. creature'), market concentration, China's economic transition ('objective vs. cost'), the global common market, and compounding knowledge and trust.
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HITL's H Is Shifting from Human to Harness
The 'human' in Human-in-the-loop is really just a role — the verifier that judges 'is this round done?' after each turn. The evolution of coding agents over the past two years is, in large part, the story of harnesses taking over this role, piece by piece, in the order of what can be expressed as a check. HITL → VITL.
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Humans as Weak Supervisors: What AAR Reveals About Alignment
Anthropic's AAR project is ostensibly about autonomous AI research. Viewed differently, it's a meta-validation of weak-to-strong alignment: humans as weak supervisors, wielding evaluation environment design as their last leverage point over models that exceed their own capabilities.
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Brain ≠ Hands: Dissecting Anthropic's Managed Agents Architecture
Anthropic published their Managed Agents architecture. Under the hood, the real insight isn't the three-layer split — it's two counterintuitive decouplings: Session ≠ Context, and Tool execution doesn't live next to the Agent.
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The Agent Trapped in the Same River
A month of building memory for an AI Agent. What we learned wasn't how to build a pipeline — it was the fundamental difference between a database and memory: databases preserve facts, memory lets knowledge grow.
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Agent Context Compaction: From Cursor's Self-Compaction to Claude Code and Codex CLI
Cursor trains models to self-compact via RL for long-horizon tasks. We dissect the KV cache reuse mechanism and compare it with Claude Code's 9-section structured compact and Codex CLI's auto-compact through reverse engineering.