This essay argues that the economics of context engineering expose a gap in the Brynjolfsson-Hitzig framework that changes its practical implications: for how enterprises build with AI, which firms centralize successfully, and whether the AI economy will be as centralized as their framework suggests. It explores how the cost and effort required to make knowledge usable by AI—context engineering—creates a bottleneck that prevents complete centralization, preserving the importance of local knowledge and human judgment. The article discusses the implications for SaaS companies, knowledge workers, and the future of work in an AI-driven economy, predicting that those who invest in context engineering capabilities will see the highest ROI.
Researchers have found that even seemingly random events, like the roll of a die, are governed by fundamental laws of physics. Their work provides further evidence for a long-held belief that the universe is fundamentally deterministic, even if it appears chaotic.
In essence, the study reinforces that the Boltzmann distribution isn't just *a* way to model randomness, it's *the* way to model truly independent random systems.
In essence, the study reinforces that the Boltzmann distribution isn't just *a* way to model randomness, it's *the* way to model truly independent random systems.
Details:
IS-LM 3B is StableLM 3B 4E1T(Licensed under CC BY-SA 4.0.) instruction tuned on DataForge Economics for 3 epochs with QLoRA(2305.14314).
IS-LM 3B is StableLM 3B 4E1T(Licensed under CC BY-SA 4.0.) instruction tuned on DataForge Economics for 3 epochs with QLoRA(2305.14314).
Behind one of the most iconic computer games of all time is a theory of how cities die—one that has proven dangerously influential.
