 ## The ASI Criterion: Why the Market Is Finally Ready for Measurable AI Metrics While most AI startups measure themselves by the number of parameters and tokens, the industry's main problem remains unsolved: there is no universally accepted methodology for assessing progress toward AGI and ASI. Recent months of research show: the market is tired of declarations. Investors and partners want to see measurable criteria, not "we are approaching AGI." ### What Has Changed? The Technotropic Criterion is an approach that introduces a measurable metric of vitality through the vector V(S). Instead of vague "levels of intelligence," it offers specific numerical indicators. It's like moving from "this car is fast" to "0–100 in 3 seconds." Why this matters for the market: 1. Investors — get a metric to compare projects, not presentations with "we believe in AGI" 2. Developers — a clear benchmark for where to go, not "make AI like humans" 3. Clients — understand what they are paying for when they hear about "artificial superintelligence" ### What's Next? AI agents have already ceased to be just a tool—they have become full-fledged participants in processes. But without formalized evaluation criteria, the market remains a "wild west." Projects that first adopt transparent metrics will gain a colossal advantage in trust and investment. My opinion: 2026 will be the year when "just a neural network" stops impressing anyone. Those who can measure and prove their progress will win. What do you think? Does the industry need unified criteria for evaluating AGI/ASI, or should each project develop its own?