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They literally made a Convolutional Neural Network in Minecraft before we got GPT-5.

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ₕₐₘₚₜₒₙ

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2,910,413 görüntüleme • 2 yıl önce •via X (Twitter)

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archeus profil fotoğrafı
archeus2 yıl önce

It was only a matter of time before some complicated shit like this would be made in Minecraft lmao

ₕₐₘₚₜₒₙ — e/acc profil fotoğrafı
ₕₐₘₚₜₒₙ — e/acc2 yıl önce

Minecraft above all.

Carlos Galarza profil fotoğrafı
Carlos Galarza2 yıl önce

Next @karpathy video: "Let's build GPT-4.5 from scratch, in Minecraft, spelled out."

ₕₐₘₚₜₒₙ — e/acc profil fotoğrafı
ₕₐₘₚₜₒₙ — e/acc2 yıl önce

@karpathy The fact that he liked this video is awesome👏

Sváťa Barek 🇺🇦 profil fotoğrafı
Sváťa Barek 🇺🇦2 yıl önce

I am pretty sure We will reach AGI in Minecraft faster than in the real world. Weird way to open-source, but ok 🤪

ₕₐₘₚₜₒₙ — e/acc profil fotoğrafı
ₕₐₘₚₜₒₙ — e/acc2 yıl önce

Haha!

Fennecous profil fotoğrafı
Fennecous2 yıl önce

I see 5 so it means this is GPT-5

Mike Kim profil fotoğrafı
Mike Kim2 yıl önce

The tricky part was doing it without Python libraries

SKY 🦀 profil fotoğrafı
SKY 🦀2 yıl önce

Using command blocks basically allows you to program in Java, not very impressive. Though I have seem computers made entirely on redstone no command blocks.

Mikameel ᯅ profil fotoğrafı
Mikameel ᯅ2 yıl önce

Hey, I don't think this is done in minecraft but a self made game forked from a Minecraft copy. its quite easy to set this up with Unity Sentis. AFAIK you cant draw like this in Minecraft. Check this tutorial

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Fukushima's video (1986) shows a CNN that recognises handwritten digits [3], three years before LeCun's video (1989). CNN timeline taken from [5]: ★ 1969: Kunihiko Fukushima published rectified linear units or ReLUs [1] which are now extensively used in CNNs. ★ 1979: Fukushima published the basic CNN architecture with convolution layers and downsampling layers [2]. He called it neocognitron. It was trained by unsupervised learning rules. Compute was 100 times more expensive than in 1989, and a billion times more expensive than today. ★ 1986: Fukushima's video on recognising hand-written digits [3]. ★ 1988: Wei Zhang et al had the first "modern" 2-dimensional CNN trained by backpropagation, and also applied it to character recognition [4]. Compute was about 10 million times more expensive than today. ★ 1989-: later work by others [5]. REFERENCES (more in [5]) [1] K. Fukushima (1969). Visual feature extraction by a multilayered network of analog threshold elements. IEEE Transactions on Systems Science and Cybernetics. 5 (4): 322-333. This work introduced rectified linear units or ReLUs, now widely used in CNNs and other neural nets. [2] K. Fukushima (1979). Neural network model for a mechanism of pattern recognition unaffected by shift in position—Neocognitron. Trans. IECE, vol. J62-A, no. 10, pp. 658-665, 1979. The first deep convolutional neural network architecture, with alternating convolutional layers and downsampling layers. In Japanese. English version: 1980. [3] Movie produced by K. Fukushima, S. Miyake and T. Ito (NHK Science and Technical Research Laboratories), in 1986. YouTube: [4] W. Zhang, J. Tanida, K. Itoh, Y. Ichioka. Shift-invariant pattern recognition neural network and its optical architecture. Proc. Annual Conference of the Japan Society of Applied Physics, 1988. First "modern" backpropagation-trained 2-dimensional CNN, applied to character recognition. [5] J. Schmidhuber (AI Blog, 2025). Who invented convolutional neural networks?
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