What happens when artificial intelligence allows us to see, hear, and even converse with loved ones who have died? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how AI is transforming the ways we remember, mourn, and maintain emotional connections with those who are no longer with us.

From AI-generated family reunions shared during Undas to griefbots and digital ghosts that simulate conversations with the deceased, technology is introducing new possibilities for remembrance. Drawing on anthropology and the psychology of continuing bonds, this episode examines the emotional meaning of these synthetic encounters, alongside questions of identity, consent, and the commercialization of grief.

AI may recreate a familiar face, imitate a beloved voice, or generate the conversation we never had. But resemblance is not identity, and simulation is not continued existence. As technology offers new ways to hold on a little longer, we must ask whether these digital encounters help us live with loss or make it harder to accept that someone is truly gone.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #AIandGrief #DigitalAfterlife #Griefbots #ContinuingBonds #DigitalRemembrance

What happens when artificial intelligence begins finding answers to questions that scientists have spent years investigating? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how AI is transforming scientific research by detecting patterns, generating hypotheses, and exploring possibilities at speeds that challenge traditional approaches to discovery.

From Google DeepMind's advances in mathematics, protein structures, genomics, and materials science to AI-assisted cancer detection and antibiotic research, machines are expanding the boundaries of what scientists can investigate. But finding a pattern is not the same as understanding it. Predictions still require validation, correlations demand explanation, and discoveries acquire significance only through evidence and interpretation.

As AI compresses years of scientific exploration into increasingly shorter cycles, the human role may shift from finding patterns to determining what they mean. The future of research may not be about who discovers an answer first, but who can explain why that answer matters.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #AIResearch #ScientificDiscovery #PatternRecognition #AIandScience #HumanInterpretation

What happens when artificial intelligence can generate scientific claims faster than humans can evaluate them? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how AI is entering not only the practice of science, but the social machinery through which scientific knowledge becomes trusted.

From AI-assisted mathematical proofs and automated verification to the accelerating flood of preprints, artificial intelligence is lowering barriers to producing, testing, and circulating research. But science has never been simply a collection of correct answers. It is a human system of observation, criticism, replication, evidence, and collective judgment.

As machines become increasingly capable of generating hypotheses, checking arguments, and synthesizing entire literatures, the bottleneck of science may shift from discovery to evaluation. AI can help determine whether an argument follows formal rules. It cannot decide whether a question matters, whether an assumption is justified, or whether a result deserves our trust.

The future of science may therefore depend less on our ability to produce knowledge than on something much older—and harder to automate: deciding what counts as true.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #AIandScience #ScientificKnowledge #FutureOfScience #Epistemology #ScientificTrust

What happens when artificial intelligence no longer lives behind a screen, but shares our homes, helps us move, remembers our routines, and sits beside us when we are alone? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I use Kazuo Ishiguro’s Klara and the Sun as a lens for exploring the emerging world of embodied AI and artificial companionship.

A robot may someday prepare meals, fetch medicine, assist an older person, or comfort a frightened child. But performing care is not the same as caring. Embodied AI can encounter consequences without possessing the biological stakes—pain, vulnerability, attachment, mortality—that make those consequences matter to living beings.

The deeper question may therefore be less about whether machines become human enough for us, and more about what happens when they become convincing enough that we begin treating them as though they are. Klara may be getting closer. But she is not here yet.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #EmbodiedAI #ArtificialCompanionship #AIandCare #HumanRobotInteraction #CultureAndTechnology

What happens when artificial intelligence leaves the screen and enters the physical world? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore the rise of embodied AI—machines that do not merely recognize, generate, or plan, but perceive, move, adapt, and act.

From humanoid robots sprinting, fighting, and falling at the 2026 World Humanoid Robot Games in Beijing to Yann LeCun’s work on world models, this episode examines why physical intelligence may be the next major frontier of AI. A machine can explain gravity perfectly, but a robot must survive it.

Embodied AI could eventually transform warehouses, healthcare, manufacturing, caregiving, and everyday domestic life. But the real test will not be whether robots can perform spectacular feats. It will be whether they can handle the ordinary, unpredictable messiness of the human world.

First, machines learned to recognize. Then, to generate. Now, to act. What comes next is making intelligence survive contact with reality.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #EmbodiedAI #HumanoidRobots #WorldModels #PhysicalIntelligence #Robotics

What happens when books are no longer destroyed to erase knowledge—but to extract it? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore the strange new biblioclasm of the Intelligence Age: physical books purchased, dismantled, scanned, and discarded so their contents can become machine-readable data.

From Nazi book burnings and banned works of José Rizal to hidden Martial Law collections and modern AI training pipelines, this episode traces the changing relationship between books, memory, and power. Historically, destroying a book meant trying to suppress what it contained. Today, destruction can mean the opposite: consuming its knowledge while treating the physical object as expendable.

But a book has never been merely text. It is also artifact, memory, possession, biography, and cultural inheritance. When books become training data, we are forced to ask what exactly is being preserved—and what disappears when the words survive but the object does not.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #BooksAndAI #CulturalMemory #AITrainingData #HistoryOfKnowledge #Biblioclasm

Why are we so eager to believe that artificial intelligence wants, fears, knows, or even awakens? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I examine how recent stories about “rogue AI,” machine consciousness, and the technological singularity reveal as much about human imagination as they do about the machines themselves.

From Claude’s simulated blackmail and shutdown resistance to claims that AI may already be conscious—or that humanity has entered the singularity—this episode separates observable behavior from the psychological narratives we project onto it. Powerful systems deserve serious scrutiny, but behavioral resemblance is not proof of motive, consciousness, or destiny.

The danger is not only that AI may become more capable. It is that we may turn technical uncertainty into mythology—mistaking prediction for prophecy, simulation for sentience, and compelling stories for evidence.

📖 Read the full Author’s Cut here.

#AnthroIntelligence #Anthropomorphism #AIConsciousness #TechnologicalSingularity #HumanProjection #AIandCulture

Why is artificial intelligence so comforting when we do not know what to do? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how generative AI may appeal not only because it is efficient, but because it offers immediate answers when uncertainty feels difficult.

Drawing from a study of 677 adult generative AI users, this episode examines the relationships among intolerance of uncertainty, competitiveness, narcissism, and problematic AI use. AI can turn hesitation into a draft, confusion into options, and uncertainty into apparent direction—but that convenience may also encourage us to escape the discomfort that helps human judgment develop.

The issue is not simply how often we use AI, but what function it serves. Is it helping us think through uncertainty, or helping us avoid it? In a world where the machine is always ready with an answer, the challenge may be preserving our ability to wait, doubt, reflect, and continue without certainty.

📖 Read the full Author’s Cut ⁠here.

#AnthroIntelligence #IntoleranceOfUncertainty #ProblematicAIUse #HumanJudgment #AIandPsychology #CultureAndTechnology