Judgment from Data – The Invisible Mechanisms of Digital Dispute Resolution
By 2026, Online Dispute Resolution (ODR) has evolved far beyond mere video calls. It is now driven by algorithms that translate legal conflicts into mathematical equations. To master these systems as experts, we must understand the process of "datafication," which
Beyond the Hype: Building AI That Actually Runs (Part II.)
What Makes AI Production-Ready? Once a system is expected to operate over millions of documents, technical sophistication alone is not enough. The decisive question becomes whether the system can be trusted in practice. That trust does arise from the discipline with
Beyond the Hype: Building AI That Actually Runs (Part I.)
From “Smart Search” to Modern AI Systems In this two-part series, we use our own professional journey as a case study to trace the evolution of AI applications. We ask a practical question, how did AI become genuinely useful in
Recursive Language Models – A Systematic Approach to Large-Scale Document Analysis – Part II.
The model's operation is strictly iterative and characterized by a built-in self-checking mechanism. The root model continuously receives, evaluates, and synthesizes the partial results extracted by the sub-models. If it detects a contradiction during this synthesis, or if a claim
Recursive Language Models – A Systematic Approach to Large-Scale Document Analysis – Part I.
As Artificial Intelligence is increasingly tasked with processing massive, multi-thousand-page document sets, traditional Large Language Models frequently stumble due to 'context rot' (a severe degradation in memory and accuracy when overwhelmed by data). A recent architectural breakthrough known as Recursive
A Roadmap to Advancing Youth Safety in the Age of AI
While I have always been an optimist when it comes to the transformative power of technology on child safety, I must acknowledge that the potential benefits are currently outweighed by the harm that humans are using AI for. To advance
True intelligence starts where the machine says no
The recently released "Bullshit Benchmark 2.0" highlights one of the most serious professional shortcomings of Artificial Intelligence more sharply than ever. This database specifically examines whether language models can resist completely absurd user requests or if they instead willingly align
On the Edge of Sanity: Is AI Psychosis a Real Threat or Just Digital Panic?
With the global AI user base hitting 800 million by 2026, technology is weaving itself into the human psyche more deeply than ever before, occasionally triggering unexpected and unsettling side effects. "AI psychosis" is an emerging framework describing rare but
AI Consolidation: Overvaluation or Maturity?
In the opening months of 2026, the development curve of Artificial Intelligence (AI) has reached a critical juncture. The boundless optimism and the promise of a "do-it-all technology" that characterized previous years have been replaced by a sense of ruthless
From Phantom Citations to Prompt Injection: The Crisis of Trust in Science in the Age of Generative AI – Part II.
Alongside the changes on the submission side, the influence of generative AI tools is becoming increasingly visible in the peer review process as well. This trend continues even though many journals and publishers have issued guidelines urging caution, especially when