Resonance of Tokens: Selected Iterations скачать в хорошем качестве

Resonance of Tokens: Selected Iterations

How does an AI, trained exclusively on text and images, imagine sound? This compilation features 30 tracks generated by six different large language models. Each model translated written descriptions of five elements (Earth, Water, Fire, Air, Human) into audio via Python. No music software, no samples. Just raw frequencies mathematically calculated from scratch. The cover art is also purely generated SVG code. [Tracklist] Anthropic: Claude Opus 4.6 0:00:00 Earth 0:00:08 Water 0:01:08 Fire 0:01:38 Air 0:02:03 Human DeepSeek: DeepSeek V3.2 0:02:36 Earth 0:02:40 Water 0:03:10 Fire 0:03:25 Air 0:03:35 Human OpenAI: gpt-oss-120b 0:03:47 Earth 0:03:55 Water 0:04:25 Fire 0:04:37 Air 0:04:49 Human MoonshotAI: Kimi K2.5 0:05:19 Earth 0:05:27 Water 0:05:57 Fire 0:06:07 Air 0:06:15 Human Z.ai: GLM 4.7 0:06:27 Earth 0:06:35 Water 0:06:50 Fire 0:07:00 Air 0:07:10 Human Google: Gemma 3 27B 0:07:24 Earth 0:07:29 Water 0:07:39 Fire 0:07:44 Air 0:07:49 Human Notes: Claude Opus 4.6: With adaptive thinking, this model required more generation time than the other five models combined. Exclusions: Models trained on audio data (such as GPT-5.2, Gemini 3, and Grok-4) were excluded. Explore the full project: https://shinseungback.com/lab/project...