テキスト・画像・音声の3モダリティを統合したマスク拡散モデルの設計空間とスケーリング則に関する研究レポート。

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A new podcast to make sense of the AI revolution.

🚀 Think AGI is the finish line? Think again. Most people are bracing for the arrival of Artificial General Intelligence, but a groundbreaking new paper from Google DeepMind just changed the game. They’ve revealed that AGI is merely the baseline—a brief pitstop on the high-speed rail toward Artificial Super Intelligence (ASI). In this episode, we’re mapping the transition from human-level AI to systems that can outperform thousands of human experts working for a decade. What happens when intelligence becomes a mass-produced industrial resource? 🏭 We dive deep into the four pathways to ASI: Recursive Self-Improvement (RSI), AI Scaling Laws, Algorithmic Paradigm Shifts, and the terrifyingly efficient Multi-agent Collectives. But it’s not all smooth sailing. We’re tackling the "frictions" that might save us—or stall us—including The Data Wall, energy limits, and the social regulations attempting to cage a digital god. Inside this episode: - 🧠 The Digital Mind Advantage: Why perfect replication beats human teamwork every time. - 🚧 The Friction Points: How physics and resource constraints are the only things holding back a superintelligence. - 🔬 DeepMind Insights: Breaking down the Shane Legg and Marcus Hutter framework for the post-AGI era. - ⚖️ The Industrialization of Thought: Why the future of intelligence looks more like a factory than a brain. Whether you're an AI researcher or just someone trying to survive the next decade, this is the roadmap you need for the Post-AGI world. Are we prepared for a world where intelligence is no longer a biological miracle, but a utility? ✨ Join the conversation and subscribe to stay ahead of the curve! If you found this insightful, share it with someone who still thinks AGI is the end of the story. 📈  

YouTube video by Wes Roth

A brief intergenerational pause...