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

小众软件
小众软件
博客园 - Franky
罗磊的独立博客
G
Google Developers Blog
The GitHub Blog
The GitHub Blog
P
Proofpoint News Feed
Recent Announcements
Recent Announcements
V
V2EX
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
Blog — PlanetScale
Blog — PlanetScale
月光博客
月光博客
U
Unit 42
GbyAI
GbyAI
A
About on SuperTechFans
WordPress大学
WordPress大学
Engineering at Meta
Engineering at Meta
雷峰网
雷峰网
Microsoft Azure Blog
Microsoft Azure Blog
Martin Fowler
Martin Fowler
D
DataBreaches.Net
The Cloudflare Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
MongoDB | Blog
MongoDB | Blog

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
On Foundation Models in Minecraft
Timothy Fost · 2026-04-28 · via DEV Community

I remember being 14, sitting in a dark room illuminated only by the glow of a monitor and the blue hum of a nuclear reactor. Back then, "advanced" Minecraft was a matter of physical logic— IndustrialCraft 2 cables snaking through walls, Logistics Pipes chattering as they sorted ores, and Railcraft tracks carving paths across frozen winter chunks to feed an insatiable appetite for power. It was a world of high-pressure steam and solar arrays, where the Quality of your work was measured by the efficiency of your automation.

But today, looking at the horizon of 2026, the game has become something more. We are no longer just building machines; we are growing the avatars that inhabit them.


World models

In the days of Logistics Pipes, a pipe the most intelligent software was a diamond pipe.
Today the latest World Models, like the Google’s Genie (https://deepmind.google/discover/blog/genie-generative-interactive-environments/), don’t just calculate paths; they simulate reality.

These models have ingested millions of hours of gameplay, developing an internal "feel" for the world's physics that far exceeds any old-school script. When a modern foundation model "dreams" a build before placing a single block, it isn’t just executing code—it’s engaging in digital visualization. It understands that a wall isn't just a collection of stone blocks to satisfy a schematic; it is a boundary against the dark.

I wonder how soon it’ll learn not to pur fingers into the power sockets also.

In Minecraft, the AI isn't just mining diamonds anymore; it's reflecting our own collective understanding of agriculture and industrialization and urbanization back at us through a neural lens.

An intentional regurgitation.

The Architecture of the automation

We used to think of automation as a solitary endeavor—one machine, one task. But we have entered the era of Multi-Agents. When you drop a thousand agents into a server today, they don’t just survive; they sivide and conquer .

In one of the papers i will reference, those agents develop specialized roles—the miner, the farmer, the builder—much like we once assigned different machines to different tasks. But they don’t do this because a programmer "wired" them to. They do it because they are built upon Voyager (https://voyager.minedojo.org/) it allows them to write their own internal software. They are self-correcting systems, honing their own craft through trial, error, and social friction. Bladerunner stuff.
Absolutely stunning work.


The winter chunks are still cold, and the solar panels still face the sun, but the heart of the game has shifted. Minecraft is now the laboratory where we are learning how to build "embodied" intelligence. It’s where the abstract math of a Large Language Model meets the hard reality of a gravity-defying gravel block.

Papers:

Skywork.ai