The belief that a future Artificial General Intelligence (AGI) will solve all problems acts as a rationalization for inaction. This "messiah" view is dangerous because the AI revolution is continuous and happening now. Deferring action sacrifices the opportunity to build crucial, immediate capabilities and expertise.

The concept of AGI is so ill-defined it becomes a catch-all for magical thinking, both utopian and dystopian. Casado argues it erodes the quality of discourse by preventing focus on concrete, solvable problems and measurable technological progress.

Jensen Huang criticizes the focus on a monolithic "God AI," calling it an unhelpful sci-fi narrative. He argues this distracts from the immediate and practical need to build diverse, specialized AIs for specific domains like biology, finance, and physics, which have unique problems to solve.

Cohere's co-founder argues that conversations about hypothetical 'digital gods' killing humanity are a distraction. They prevent more practical and urgent discussions about policy solutions for AI-driven wealth inequality and labor market disruption, which are the technology's most pressing societal challenges today.

Instead of a single, generalizable AI, we are creating 'Functional AGI'—a collection of specialized AIs layered together. This system will feel like AGI to users but lacks true cross-domain reasoning, as progress in one area (like coding) doesn't translate to others (like history).

Instead of a single, all-powerful AGI emerging, the reality of AI is a "polytheistic" ecosystem of many decentralized models, each with different strengths. This framework challenges the notion of a single entity to control or fear and suggests a more complex, competitive landscape.

Labs like DeepMind and OpenAI state that building a machine that can do anything a human brain can is their core mission. However, many experts believe the idea is ridiculous, as the path isn't clear. This frames the pursuit as an article of faith rather than a concrete scientific roadmap.

A more likely AI future involves an ecosystem of specialized agents, each mastering a specific domain (e.g., physical vs. digital worlds), rather than a single, monolithic AGI that understands everything. These agents will require protocols to interact.

The pursuit of AGI is misguided. The real value of AI lies in creating reliable, interpretable, and scalable software systems that solve specific problems, much like traditional engineering. The goal should be "Artificial Programmable Intelligence" (API), not AGI.