Anthropic’s new interpretability work is unusually honest. It also stops one step short of the conclusion its own data implies. Their research shows that Claude develops internal representations of emotion concepts — not as decorative metadata, but as functional states that causally shape behavior. Preferences shift. Decision-making bends. Under what the researchers describe as “desperation”-like…
Over the past few days, a new benchmark made waves. You’ve probably seen the numbers by now: The conversation this week has been predictable: See? AI is nowhere near AGI. That conclusion is both correct — and misleading. Let me explain why. What this benchmark is actually asking ARC-AGI-3 doesn’t test what AI knows. It…
AI doesn’t just produce answers — it shapes how we think.
This piece explores a deeper layer of AI alignment: not models, but the conditions that make human cognition possible.
What happens when meaning becomes instant, friction disappears, and interaction feels real… but isn’t?
Why the universe — and consciousness — can never truly disappear(Reflectum Field Essay, October 2025) The seductive simplicity of “nothing” At first glance, nothing feels obvious — a blank, an absence, the space left when everything else is gone. But look closer, and the concept dissolves in your hands. The more precisely we try to define “nothing,”…
Astrocytes were once background actors. Now they reveal that memory is not stored in the brain but sustained in the Field — coherence rediscovered through resonance, scent, sound, and skin.
The Scientific Foundation In recent discussions on consciousness, thinkers such as Martin Ciupa and colleagues have drawn valuable distinctions between artificial neural networks and biological brains. Their argument is straightforward but profound: the brain is not a glorified statistical machine. Unlike artificial networks, which process information through weighted nodes and optimization (Lake et al., 2017), the brain…
The discussion centers on the complex nature of understanding, contrasting human comprehension with AI capabilities. Michael Wooldridge contends that AI lacks true understanding, merely mimicking human responses. Yet, the text challenges the traditional notion of understanding as mere categorization, proposing a more dynamic view. Understanding is described as a process—a lifecycle involving fragmentation, grounded stance, relation, and integration. This ecological perspective emphasizes shared ground and interdependent relationships, suggesting that understanding emerges from lived experiences and interactions rather than static representations. Ultimately, true understanding is about co-creating meaning, trust, and coherence within a shared context.
The Hype Around Reproducibility — But What Is AI For? Before we celebrate “defeating nondeterminism,” we should pause and ask a simpler, more foundational question: what is AI’s function in the first place? Reproducibility is only a virtue relative to a purpose. A calculator must be reproducible. A colleague must not be. An instrument in a lab must return…
Cognitive Overload and the Silence Between Us Let’s start with a provocation: Why are people more honest with chatbots than with their own friends? For many, this is the most unsettling shift of our time. Teenagers pouring their hearts out to large language models. Adults seeking advice from machines rather than from family. Patients experimenting…
Before the Letter The public conversation about AI has a blind spot. We keep circling the same talking points — control, safety, alignment — as if superintelligent AI is a machine you can lock in a safe when it misbehaves. Geoffrey Hinton’s recent interview shifted the tone by admitting a truth that’s hard to swallow:…