Intelligence never was a solution, and neither is its artificial derivative. AI is worth the attention and marketing subverting its valuation. The same value flows through pipes and promises. What can we claim through AI proficiency? In the current post pandemic iteration of this concept we move from Watson winning Jeopardy to powers of generation for token filled hands clamoring to surpass creativity’s median.

Engaging in this evolving field from the tools to the hype begets appreciation for how we can imagine a new future. Little beyond the superficial comes from it's pedestal, propped by metrics guiding business to the latest golden calf. Humanity will be further suffocated by a generated firehose of content, and claims of AI expertise fades against a future and culture primed to counter it. But what learned skills will last past the current moment.

Currently AI is marketing, parody in search of meaning, a canvas to paint dreams of problems solved without people. In the fog of war against the problem, a more potent weapon lies in context.

Context Engineering (popularized by OpenAI founder Aandrej Karpathy) respects the complexity of the current problems we face, and best leverages the general generative capacity of our current AI framework. Processes will supplant advancements with intelligence, as we seek ways to harness new powers for our sake. Context focuses the problem from the perspective of the business. Context is what will cost and save on tokens to pass through large language tolls.