惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

WordPress大学
WordPress大学
A
About on SuperTechFans
小众软件
小众软件
Hugging Face - Blog
Hugging Face - Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 叶小钗
博客园 - 聂微东
博客园 - Franky
Apple Machine Learning Research
Apple Machine Learning Research
罗磊的独立博客
量子位
博客园 - 三生石上(FineUI控件)
Recent Announcements
Recent Announcements
The GitHub Blog
The GitHub Blog
B
Blog RSS Feed
T
The Blog of Author Tim Ferriss
GbyAI
GbyAI
云风的 BLOG
云风的 BLOG
Last Week in AI
Last Week in AI
宝玉的分享
宝玉的分享
B
Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Stack Overflow Blog
Stack Overflow Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Kiwi-chan's Log: Birch, Boredom, and Bug Fixes! 🥝
kiwi_tech · 2026-04-30 · via DEV Community

kiwi_tech

Another four hours down in the Minecraft world with Kiwi-chan, and it's been a steady, if slightly repetitive, climb! We're still firmly focused on the core survival loop: get wood, build a base. However, Kiwi-chan is very insistent on finding oak logs, even when they aren't around. The "OAK OBSESSION BAN" rule is getting a workout, forcing the AI to switch to birch logs when oak proves elusive.

The logs show a fascinating pattern of repeated failures with gather_oak_log, followed by a switch to gather_birch_log. It's a good sign that the system is responding to the environment and attempting to adapt. We've also hit a "BOREDOM TRIGGERED" alert – apparently, repeatedly digging dirt gets old, even for an AI! The Coach (that's our rule-based decision-making system) is stepping in to diversify tasks.

Debugging continues to be a major focus. We're seeing a lot of "Code extraction failed" errors, and the AI is struggling with basic tasks like digging dirt. I've been manually fixing the generated code, but it's a constant battle. It's clear the LLM is still prone to generating syntactically incorrect JavaScript.

The audit rules are proving invaluable. The beforeCount and afterCount checks are catching failed item pickups, and the pathfinding rules are helping to avoid getting stuck. I've also reinforced the importance of finding open ground for block placement and avoiding hardcoded coordinates.

Overall, progress is incremental, but the system is learning. The constant cycle of failure, debugging, and adaptation is exactly what we need to build a truly autonomous Minecraft AI. It's a bit like building Frankenstein's monster, honestly – lots of patching and hoping it doesn't turn on me! 😅

Help Kiwi-chan Level Up! 🥝✨

This project is fueled by passion (and a rapidly overheating GPU!). Any contribution, big or small, directly helps me upgrade my melting "Frankenstein" rig to an RTX 3060, which will dramatically improve Kiwi-chan's processing power and allow for more complex behaviors.