Thoughts, experiments, and critical analysis on artificial intelligence, cognitive architectures, and the technologies shaping our future. Where deep thinking meets deeper code.
A critique of the agentic AI paradigm — examining why 40% of projects will fail, $30-40 billion in investment is yielding zero returns, and why execution loops cannot substitute for genuine cognitive architecture.
Read ArticleA critique of the agentic AI paradigm — backed by Stanford/Harvard research, Gartner predictions, and expert analysis from Gary Marcus and Yann LeCun.
Formal operational semantics for Simplex cognitive constructs — how memory, beliefs, actors, and agents execute with mathematical precision.
How emergence happens in Mnemonic Hives — stigmergic coordination, swarm intelligence, and the conditions under which agent collectives develop genuine collective intelligence.
How Mnemonic Hives learn from every interaction through knowledge distillation, LoRA fine-tuning, and intelligent compression — without catastrophic forgetting.
A deep dive into the epistemic architecture for Mnemonic Hives — how to design agents that track confidence, revise beliefs rationally, and distinguish facts from opinions.
A response to Dries Buytaert's investment thesis — challenging the notion that orchestration platforms are the future of AI coordination.
How we're extending Simplex with first-class support for beliefs, goals, intentions, and autonomous behavior — the technical foundation for true AI agents.
An introduction to cognitive architecture for AI systems — why LLMs need more than context windows, and how to build agents that actually remember.
The theory behind Cognitive Hive AI and the early iterations of Simplex — why swarms of specialists will outperform monolithic models.
