Show HN: Tracking AGI as a collapse in marginal cost, not a 'magic' moment (moai.studio)

A new project titled "Tracking AGI" proposes a fresh lens through which to view the development of artificial general intelligence (AGI), focusing on it as a gradual decline in marginal costs rather than a single transformative event. Key updates from various AI advancements illustrate this perspective, such as the release of DeepSeek V3, which reduces intelligence costs to below that of human metabolic expenditures at $0.27 per million tokens. This trend suggests profound implications for the economics of AI, hinting that as costs continue to fall, the accessibility and integration of intelligent systems in everyday tasks will expand significantly. Several significant developments are reported, including the recursive self-editing capability emerging from models like OpenAI's Loop, which highlights AI's potential to autonomously enhance its functions. Additionally, the emergence of dual digital realities due to DeepSeek forking reality emphasizes the increasing complexity of AI interactions with our environment. With R&D investments scaling to unprecedented levels, such as Nvidia’s $4 trillion valuation and extensive power demands from data centers, the implications are clear: AI is not just a tool but is becoming central to economic and social structures, raising ethical and regulatory questions about the future of work, human identity, and national security.