Most AI systems think in binaries. True or false. Positive or negative. Safe or unsafe. This works for classification tasks. It fails for anything that matters. The limitation lies in how current architectures collapse…
Every large language model hallucinates. Every single one. The industry treats this as a defect to eliminate. But what if hallucination is telling us something fundamental about how these systems process information? The word…
Attentional training is attention training. Language model alignment is attention training. The parallel isn’t poetic. It’s operational. Every practitioner of sustained attentional regulation learns the same first lesson: your mind does what it wants,…
A biological neural network fires signals across synaptic gaps. An artificial neural network fires signals across weighted connections. The architecture differs. The principle doesn’t. This isn’t metaphor. It’s structural observation. And it matters more…
Understanding attention requires looking at what actually happens when the brain allocates cognitive resources. The prevailing model in consumer attention apps is wrong—and the error has contaminated how we design attention mechanisms in AI….
Your brain burns about 20 watts at rest. That’s less than a lightbulb. But it’s not distributed evenly. The Default Mode Network — the constellation of brain regions active when you’re “not doing anything”…
Most AI training treats fragmented processing as the default. You start with scattered attention, you impose structure through alignment, and you achieve something like unified cognitive flow. Progress is linear, from noise to coherence….
There’s a persistent belief in medicine that the aging brain is a diminishing brain. Slower processing. Weaker memory. Declining plasticity. The advice that follows: learn new things while you’re young. That advice is based…
The debate between Brahman (permanent ground) and anicca (universal impermanence) cannot be resolved by the mind. The leap happens through compassion — the only movement that is simultaneously empty and full, stable and dynamic.