Post #1543

Hugging Face (Twitter) RT @RayFernando1337: This is the JPEG moment for AI. Optical compression doesn't just make context cheaper. It makes AI memory architectures viable. Training data bottlenecks? Solved. - 200k pages/day on ONE GPU - 33M pages/day on 20 nodes - Every multimodal model is data-constrained. Not anymore. Agent memory problem? Solved. - The #1 blocker: agents forget - Progressive compression = natural forgetting curve - Agents can now run indefinitely without context collapse RAG might be obsolete. - Why chunk and retrieve if you can compress entire libraries into context? - A 10,000-page corpus = 10M text tokens OR 1M vision tokens - You just fit the whole thing in context Multimodal training data generation: 10x more efficient - If you're OpenAI/Anthropic/Google and you DON'T integrate this, you're 10x slower - This is a Pareto improvement: better AND faster Real-time AI becomes economically viable - Live document analysis - Streaming OCR for... Перейти на оригинальный пост