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

Why does AI feel authoritative—even when we know it’s just a machine? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I turn to anthropology to explain a quiet but dangerous confusion at the heart of our AI moment. Artificial intelligence works on tokens—units of prediction without belief—but humans increasingly treat its outputs as totems: sources of meaning, trust, and authority.

From students seeking life advice at 2 a.m. to institutions deferring judgment to algorithms, this episode explores how fluency becomes mistaken for wisdom, and prediction for truth. The real risk of AI is not intelligence run amok—but our willingness to surrender interpretation, responsibility, and belief.

Read the full Author’s Cut here.

#AnthroIntelligence #AIandCulture #HumanInterpretation #AIEthics #Anthropology #CultureAndTechnology #PsychologicalAnthropology #SymbolicAnthropology

Is AI really “end-to-end”—or is that just a comforting illusion? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I unpack a simple but overlooked truth: every AI workflow still begins and ends with a human being. From defining the task and setting boundaries to interpreting consequences and carrying accountability, humans remain the anchors of every so-called automated system.

AI may accelerate the middle—the pattern-finding, the drafting, the prediction—but meaning, purpose, and judgment never leave human hands. The real risk isn’t that machines will turn into Skynet. It’s that we forget how deeply these systems still depend on us.

Read the full Author’s Cut here.

#AnthroIntelligence #AIPhilippines #AIethics #CultureAndTechnology #HumanCenteredAI

What does it mean to “learn how to learn” when even machines are learning faster than we are? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how the rise of AI is reshaping not just education, but the very process of human adaptation. From hunter-gatherers passing on survival stories to Filipinos retraining for new digital tools, learning has always been a form of cultural evolution.

Now, in an age where knowledge expires overnight, the challenge is no longer memorization—it’s adaptability. This episode asks how the Philippines, with its uneven infrastructure and fragile mentorship systems, can keep up in a world where AI doesn’t just teach us—but learns beside us.

Read the full Author’s Cut here.

#AnthroIntelligence #AIEducation #CulturalAdaptation #AIPhilippines #LifelongLearning #CultureAndTechnology

What does it mean to teach a machine how to think? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I trace my experience becoming an AI trainer—guiding a system that learns faster than any human mind. AI models can be brilliant, but also confidently wrong. They hallucinate facts, invent citations, and speak with conviction even when the ground beneath them is hollow.

Training the “dragon” means teaching discernment, humility, and responsibility—not just intelligence. As we move closer to Artificial Superintelligence, the future of truth will depend on how well we guide the minds we are building.

Read the full Author’s Cut here.

#AnthroIntelligence #ArtificialSuperintelligence #AITraining #CultureAndTechnology #AIEthics #AnthropologyAndAI

Who’s raising the next generation—parents, teachers, or algorithms? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore what happens when children form emotional attachments to chatbots and AI companions designed not to nurture, but to engage. From digital teddy bears to therapy bots, machines are quietly stepping into roles once held by family and community.

Drawing on neuroscience, anthropology, and policy, this episode examines how algorithmic caregiving reshapes empathy, trust, and childhood itself—and why raising children alongside AI demands not just innovation, but vigilance.

Read the full Author’s Cut here.

#AnthroIntelligence #AIandChildhood #AIEthics #PsychologicalAnthropology #CultureAndTechnology #ArtificialIntelligence