The cost for a given level of AI performance halves every 3.5 months—a rate 10 times faster than Moore's Law. This exponential improvement means entrepreneurs should pursue ideas that seem financially or computationally unfeasible today, as they will likely become practical within 12-24 months.

While commendable, an AI company's refusal to sell models for controversial uses like mass surveillance is a temporary solution. Technology diffusion is so rapid that within 12-18 months, open-source models will match today's frontier capabilities. A government seeking these tools can simply wait and use a widely available open-source alternative, making individual corporate 'red lines' ultimately ineffective.

The most immediate danger of AI is its potential for governmental abuse. Concerns focus on embedding political ideology into models and porting social media's censorship apparatus to AI, enabling unprecedented surveillance and social control.

Public fear of AI often focuses on dystopian, "Terminator"-like scenarios. The more immediate and realistic threat is Orwellian: governments leveraging AI to surveil, censor, and embed subtle political biases into models to control public discourse and undermine freedom.

The level of sophistication in publicly accessible technology, such as AI, significantly lags behind what intelligence agencies possess. As an example, the CIA had a mechanical, camera-equipped dragonfly for surveillance in 1967. This suggests that what we see as cutting-edge consumer tech is likely a decade-old version of classified systems.

The cost for a given level of AI capability has decreased by a factor of 100 in just one year. This radical deflation in the price of intelligence requires a complete rethinking of business models and future strategies, as intelligence becomes an abundant, cheap commodity.

As powerful AI capabilities become widely available, they pose significant risks. This creates a difficult choice: risk societal instability or implement a degree of surveillance to monitor for misuse. The challenge is to build these systems with embedded civil liberties protections, avoiding a purely authoritarian model.

According to Ring's founder, the technology for ambitious AI features like "Dog Search Party" already exists. The real bottleneck is the cost of computation. Products that are technically possible today are often not launched because the processing expense makes them commercially unviable.

AI is not inherently centralizing or decentralizing; it's both. It can create the ultimate surveillance state for elite control while also empowering solo entrepreneurs to build multi-million dollar businesses with minimal capital, creating a significant economic paradox.