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