
Simply put
- Minecraft Builder fully encodes the 5 million parameter language model through the game’s Redstone logic, spanning hundreds of millions of blocks.
- The system works (as a rule), but is unbearably slow. Responses can take hours, with increased speed.
- This is a proof of concept, a technical work of art, reminding us that calculations can live in strange places. Structures are structures, not just substrates.
Over the weekend, Minecraft Maestro performed an impressive feat. The very popular Sandbox game is to embed the inference engine for working language models. catch? All “wiring” was done on Minecraft’s Redstone system. There are no command blocks. There are no mods (over rendering assistance), only circuit logic built from in-game material.
The results are quirky and painfully slow, but appealing. A GPT-style chatbot in a world of blocks built from digital redstones and analog logic.
What do you need to know to understand stunts? Red Stone teeth. In Minecraft, Redstone is a gaming analogue to wiring and electronic components, such as power supplies, repeaters, comparators, logic gates, signal delays, and more. Everything is built with blocks. Redstone Circuits emulates digital behavior (on/off, logic operations) within the game world.
A long time ago, players used Redstone to build calculators, memory units, and even CPUs within Minecraft, but now they’re pushing them up into AI territory. Samuli, the person who builds the GPT hack, used Redstone to create a recursive version of Minecraft within Minecraft.
In this project, the creators first trained a small non-game language model (in Python). Tinychat. That model is roughly 5,087,280 parameters240 embedded dimensions, vocabulary of approximately 1,920 tokens, 6 tiers, and 64 tokens context window. Most weights are quantized to 8 bits, but the weights of the embedding and layer malts use a higher accuracy. The Redstone build itself expands roughly 1,020 x 260 x 1,656 blocks (A total of about 439 million blocks). Used by the creator to photograph the scale The far horizon MODs allow you to visualize distant structures in a huge world.
When you enter the prompt (via the in-game interface), the redstone circuit performs inference stepwise and embeds search, feedforward paths, matrix multiplication, and softmax approximations. According to video demonstrations, the elaborate Redstone build took several months to assemble.
But the system is a glacier. Even with artificially boosted tick rates (~40,000 x faster than normal via MCHPRS), response times are on the order of several hours. Standard Minecraft speed estimates that you will take over 9 years Generate an answer.
Still, the key to the project is not a utility, but a demonstration. At its heart, this build is playful evidence that neural inference can be restarted to almost any logic board. It reminds you of how much abstraction your software and hardware stack is hiding. Its architecture, media and speed are individual dimensions. In other words, this is a technical work of art and a conversation starter. The key is calculations, not necessarily where they are performed.
Is this important? Yes, that’s right
Obviously, this is not practical, but it’s cool because it shows something profound. The logic and neural style calculations can be mapped to strange substrates. Here’s a virtual redstone circuit. It’s playful evidence Universality of calculationan artistic and educational exhibit, and a challenge to our assumptions about how and where “intellect” can be implemented.
It is forced to ask us: what really matters in the model is composition, medium, speed, etc., and other strange substrates (optical systems, DNA, mechanical systems)?
All over the web, the build sparked debate. Tom’s Hardware I’ve done a piece that breaks down block counting, redstone logic and performance trade-offs. Above Hacker Newsthe commenter marveled at the engineering, but also pointed out, “The usual redstone tick rate…it’s going to take over nine years to answer.” Meanwhile, on Minecraft Subreddit, fans and skeptics alike discussed how much of the achievements were spectacle vs. technical depth.
Some observers suggest that projects bound the boundaries to memes rather than research. In fact, the actual training took place externally. Minecraft only hosts inference logic. This is a showpiece that is more than a practical model. But it really gives its charm and purpose.
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