Artificial intelligence is not arriving as a convenient upgrade—it is reorganizing economies, infrastructure, and power in real time. In this episode of AnthroIntelligence: Culture, Cognition, and Code, I unpack why the AI moment is fundamentally different: energy systems, chips, cloud infrastructure, models, and applications are scaling simultaneously, compressing timelines and locking in advantage for decades.

Drawing from insights shared by NVIDIA CEO Jensen Huang at the 2026 World Economic Forum in Davos, this episode reframes AI as national infrastructure—on par with electricity, roads, and telecommunications. For countries like the Philippines, the stakes are clear: without local research capacity, AI becomes something we consume rather than shape.

National intelligence is not about slogans or nationalism. It is about the ability to encode culture, language, and knowledge into emerging systems—before others do it for us. This is not a future problem. It is a present one.

Read the full Author’s Cut ⁠here⁠.

#AnthroIntelligence #NationalIntelligence #AIInfrastructure #AIAndGovernance #CultureAndTechnology #PhilippineAI

We are living through a moment of acceleration that feels almost mythic. In this episode of AnthroIntelligence: Culture, Cognition, and Code, I use the image of the Fire Horse to make sense of the speed, volatility, and momentum of the AI era—where technological change now moves faster than our institutions, cultures, and cognitive habits can easily absorb.

Drawing from recent discussions at the 2026 World Economic Forum in Davos, I unpack how figures like Dario Amodei, Demis Hassabis, and Elon Musk describe the curve ahead: not whether AI will transform society, but how violently that curve will bend. This episode explores recursion, self-improvement loops, energy constraints, and the growing gap between technological velocity and social adaptation.

The Fire Horse is already running. The question is no longer whether change is coming, but whether we learn to ride—or get trampled by the speed of it.

Read the full Author’s Cut here.

#AIFutures #IntelligenceExplosion #CultureAndTechnology #HumanAdaptation #AIAcceleration #WEFDavos

Why does AI-written language feel meaningful—even when no meaning was intended? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I draw a sharp line between human language as a symbolic, cultural system and AI language as an algorithmic process of prediction.

Humans use words to mean—to refer, intend, and share understanding within a lived social world. Large language models, by contrast, generate fluent text by detecting patterns in data, not by participating in meaning. When we confuse algorithmic fluency with symbolic thought, we misunderstand both AI and ourselves.

This episode explores why machines can sound thoughtful without thinking—and why the real marvel is not artificial intelligence, but the depth and structure of human symbolic culture that makes such imitation possible.

Read the full Author’s Cut here.

#AnthroIntelligence #HumanLanguage #ArtificialIntelligence #SymbolsAndAlgorithms #Anthropology #SymbolicAnthropology #CultureAndTechnology #Semiotics