BDH-CQ
Beyond Market Intelligence keeps BDH-CQ in one place: 2 stories so far. The section currently leads with “Beyond the Token Stream: Architectures for Deeper Reasoning” and “Explore how BDH-CQ unifies memory and inference in one system”. The field is quietly shifting its focus from longer chains of thought to something more fundamental: reasoning that never touches language at all. A new reasoning system called BDH-CQ is challenging the cost, accuracy tradeoffs that have long constrained AI development. 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 BDH-CQ story on Beyond Market Intelligence, newest first.
Beyond the Token Stream: Architectures for Deeper Reasoning
The field is quietly shifting its focus from longer chains of thought to something more fundamental: reasoning that never touches language at all. The breakdown of latent reasoning into five distinct families, from Coconut's continuous hidden states to BDH-CQ's in-context recurrent memory, gives us a useful map of where the frontier actually sits. The real question isn't which architecture wins, but whether readable traces were ever the point.
Explore how BDH-CQ unifies memory and inference in one system
A new reasoning system called BDH-CQ is challenging the cost, accuracy tradeoffs that have long constrained AI development. By updating recurrent memory with demonstrations and solving queries through iterative, high-dimensional computation, it keeps reasoning entirely in latent space. No task identifiers are used in training, and no parameters shift at inference. A 150M-parameter version achieves 29.5% pass@2 on ARC-AGI-1 at $0.00070 per task. That breaks the reported Pareto frontier, showing that accessible, efficient reasoning is possible.