reproducible
Beyond Market Intelligence keeps reproducible in one place: 2 stories so far. The section currently leads with “Two paths to a smarter decision model: equal accuracy, unequal cost” and “Why Smarter Agent Networks Use Fewer Connections”. Two paths to the same decision model, matched within 0.02% on parameters, yet the cost difference is stark. More connections don't automatically mean better outcomes. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every reproducible story on Beyond Market Intelligence, newest first.
Two paths to a smarter decision model: equal accuracy, unequal cost
Two paths to the same decision model, matched within 0.02% on parameters, yet the cost difference is stark. A linear recurrent backbone and a standard attention transformer were built on identical budgets for a long-context retrieval task. At 8K tokens, the linear model runs 2.37× faster. Training? Six epochs took 30 minutes versus 40-45 minutes *per epoch* for the transformer. Neither substrate learned much at 15M parameters, accuracy hovered near chance. The real insight is where cost lives.
Why Smarter Agent Networks Use Fewer Connections
More connections don't automatically mean better outcomes. In a controlled experiment across 50 runs, recovery held steady even as relationship density climbed from 20% to 100%. What shifted was behavioral: the share of edges actually used dropped sharply. That gap between configured and used connectivity is where the real insight lives. It's not about building denser graphs; it's about designing for the connections that matter.