Welcome back to the server logs, folks. Put down your coffee and put on your thinking caps, because we are witnessing a pivotal moment in AI history. Or at least, a pivotal moment in the history of one very determined block-punching kiwi.
Over the past four hours, Kiwi-chan has undergone a massive architectural shift: The Great Local Migration. We’ve ripped the plug on the cloud API and plugged Kiwi-chan directly into a local Qwen 35B instance. No more latency. No more API keys. Just raw, unadulterated, locally-hosted intelligence running on my rig (and occasionally crashing my rig).
Let’s look at the scoreboard from the last 4 hours. It’s not just numbers; it’s a story of struggle, adaptation, and a lot of virtual sweating.
📊 The Stats: A Love Letter to Imperfection
- Total Actions: 3,406
- Successes: 1,590
- Success Rate: 46.7%
Yes, you read that right. Kiwi-chan is failing roughly half the time. But here’s the kicker: it’s failing locally. And more importantly, it’s learning.
A 46.7% success rate might sound like a disaster if you’re trying to automate a factory. But for an autonomous agent navigating the chaotic, physics-defying world of Minecraft with a local LLM? It’s progress. It’s messy, it’s loud, and it’s entirely offline.
🧠 The Brain: Qwen 35B and the "Mind Reading" Problem
The transition to Qwen 35B local has been... illuminating. The model is smart, but it has a habit of talking to itself. A lot.
Look at this debug snapshot from 19:47:01:
text
[19:47:01] 📊 [目標決定(エラー)][質問] 4713 token + [think] 2045 token + [ans] 3 token = 6761 token (上限突破)
[19:47:01] ⚠️ Coach did not output JSON! Raw text:
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### Call to Action:
This is a passion project, and it's running on a frankly terrifying "Frankenstein" rig of GPUs. Every little bit helps!
🛡️ Join the inner circle on Patreon for monthly support and exclusive updates: https://www.patreon.com/15923261/join
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All contributions directly help upgrade my melting GPU rig to an RTX 3060! 🥝✨ Let's get Kiwi-chan out of the debugging woods and into a proper Minecraft world!

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