This publication explores the current state and future potential of brain-computer interfaces (BCIs) in capturing the electrical activity of cortical neurons. The researchers evaluate the effectiveness of various invasive neural interfacing approaches, focusing on the challenges posed by the inflammatory response and glial scarring when foreign materials are implanted into brain tissue. These physical limitations hinder the scalability of BCIs, restricting their ability to perform complex tasks and gain insights into network-related disorders. The study discusses theoretical constraints for scalability, such as maintaining less than 1% total brain volume displacement by probe shanks. The authors highlight the need for self-supporting rigid shanks with diameters between 0.6 μm and 3.7 μm to meet these constraints. However, shanks thinner than 5 μm face challenges during implantation due to buckling. The paper also examines alternative approaches, such as bioengineering cell components to integrate smoothly into neural tissue, eliminating the need for rigid bodies. This innovation could potentially revolutionize BCIs by enabling more comprehensive neural network sampling without triggering inflammatory responses.