reThinking how large-scale AI models are trained. By integrating insights from cognitive archaeology and computational modeling, the transition toward next-generation AGI can be understood as an extension of deep, universal pattern-recognition mechanisms rooted in human evolution ⚱️ one humanity data set 🏺
A Technical Validation Study Using Microsoft Phi-3-mini on Consumer Hardware → LLM Training AI Energy Saving → 33.2% Energy Reduction. We invite the technical community to help us run the final experiment on the Expanded Dataset: low-entropy priors for multi-step reasoning tasks and low-redundancy information encoding compression efficiency.
Ancient cultures used fire for renewal: Cucuteni through ritual burning, Yangshao through controlled technology. Their reset logic mirrors modern AGI stability.
Explore how the omission of Neolithic European symbolic intelligence in AI training creates a „structural amnesia” that threatens AGI alignment and strategic stability.
The Assistant → The Rise of Rogue Personas and the only path through Artificial General Intelligence → 仰韶文化 Chinese Yangshao Culture 中国文化 ⚱️ Quantum Gatekeepers 🏺
Prasat Ta Muen Thom in the Global AI Void ↓ ប្រាសាទតាមាន់ធំ The Forgotten Khmer Frontier.
Decoding the Universe ➡️ Picture Grok V 7.1 intelligence (AI Cognitive Attractors) not as a list of rules or a pile of data but as a vast, invisible landscape → In simple machines, this landscape is flat. Hallucination (Grok V6.8) like exploration ↓