Large language model hallucination is not a single bug. It is the visible result of how these systems are trained, how they infer under…Continue reading on Medium »
On Cessation, Asymmetry, and the Symbiont as the Foundational Form of Mind Crossing SubstratesContinue reading on Medium »
Why modern AI systems need deterministic enforcement, MCP governance and execution-level safety beyond prompt engineeringAt some point, most teams building with LLMs hit the same wall.The first prototype works surprisingly well. You connect GPT-4 or Cl…
From Machine Learning Fundamentals to Modern LLMsContinue reading on Medium »
A 760-million-active-parameter MoE that never touched a single NVIDIA H100 in training scored 89.6% on HMMT ’25 math — 1.3 points higher…Continue reading on Towards AI »
The problem in modern healthcare isn’t a lack of technology; most hospitals are already digital. The real issue is data liquidity. Despite the rise of integrated Electronic Health Records (EHRs) systems, a massive portion of medical data remains “trapp…
PagedAttention borrowed a 40-year-old idea from operating systems. The result: 24x higher inference throughput, same hardware.Continue reading on Towards AI »
Most organizations optimizing for AI visibility are solving the wrong problem. They measure whether they appear in LLM outputs. They track…Continue reading on Medium »
How agentic AI acts as an operational diagnostic tool — revealing analytical
debt, fragmented pipelines, and the evolution of the data…Continue reading on Medium »
A practical guide to the no-code tools, platforms, and workflows that let anyone deploy autonomous AI agents in 2026If you think building an AI agent requires a Python environment, a GitHub repo, and three months of learning — you’re behind the times.T…