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在 50 年前的 Atari 硬件上运行 AI 模型

📅 2026-04-05 09:37 Marc Andreessen 🇺🇸 软件编程 2 分鐘 1624 字 評分: 83
Atari 汇编语言 AI 优化 复古计算
📌 一句话摘要 Marc Andreessen 分享了一个在 8 位硬件上运行的 Atari 神经语言模型 (JAM) 项目,展示了令人惊叹的优化水平和底层汇编编程技术。 📝 详细摘要 Marc Andreessen 对展示“JAM”(Just an Atari neural language Model,即 Atari 神经语言模型)的技术项目做出了回应。该项目展示了一个在 50 年前的 8 位硬件上运行的 AI 模型,它完全使用 6502 汇编语言编写,仅进行整数推理,且不含浮点运算,展现了极致的优化水平。 📊 文章信息 AI 评分:83 来源:Marc Andreessen 🇺���
![Image 1: Marc Andreessen 🇺🇸](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_d1946e)

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!Image 2: Marek Spanel

#### Marek Spanel

@maruksp · 13h ago

Show JAM: Just an Atari neural language Model, running bare-metal on 50 years old 8-bit hardware. Pure 6502 assembly. Integer-only inference. No floating point. No hardware multiply. No emulator tricks. Works on any Atari 400/800/XL/XE near you.

Built for 1.79 MHz and 4 KB–80 KB RAM. Link in comments. 🖇️👇

#Turbo2026 #ICOMPUT #Atari #8bit

!Image 3: Tweet image

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One Sentence Summary

Marc Andreessen shares a project featuring an Atari neural language model (JAM) running on 8-bit hardware, demonstrating impressive optimization and bare-metal assembly programming.

Summary

Marc Andreessen reacts to a technical project showcasing 'JAM' (Just an Atari neural language Model). The project demonstrates an AI model running on 50-year-old 8-bit hardware using pure 6502 assembly, integer-only inference, and no floating-point arithmetic, showcasing extreme optimization.

AI Score

83

Influence Score 21

Published At Today

Language

English

Tags

Atari

Assembly

AI Optimization

Retro Computing

查看原文 → 發佈: 2026-04-05 09:37:34 收錄: 2026-04-05 12:00:18

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