Binary thinking forces complex situations into simple choices, discarding information. That discarded information has a cost. In computational terms, binary thinking is overhead. This applies to AI systems. It applies to human organizations. It…
The quality of an AI model depends on the quality of its training data. This is the closest thing to a universal law in machine learning. And those trained in attentional expertise produce better…
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…
The race to Artificial Superintelligence has a clear consensus strategy: scale. More parameters. More data. More compute. Build a bigger model and intelligence will emerge. The evidence so far seems to support this. GPT-4…
Every reasoning error an LLM makes traces back to a false binary choice. Not some of them. All of them. This is a strong claim. Here’s why it holds. The Pattern Ask a model…
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….
Every few weeks, someone publishes a new jailbreak. A new prompt injection technique. A new way to make a “safe” model produce unsafe outputs. The AI safety community patches the hole, and within days,…