March 2026

I noticed the same failure pattern twice: the extraction result was “wrong,” but nothing was actually broken. The model had simply taken a different branch. That’s the kind of bug that makes you mistrust everything—your cache, your prompts, even your own memory—because the system looks nondeterministic when it’s really just unobserved. So I built a tracer that turns each extraction run into a ledger: every decision becomes a node, every retry becomes an edge, and every “we chose […]

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The Late-Night Pager Alert and The Reality of Context Rot Last month I woke up to a pager alert and a heated Slack thread regarding a critical production failure. The polished writing and perfect syntax of our AI agent hid a massive underlying flaw. The agent was hallucinating and making incorrect operational decisions. The large language model was not the problem. The issue was that the underlying knowledge graph the agent relied upon was completely out of sync […]

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Qwen3.5-35B-A3B Uncensored is a modified version of the Qwen model that removes refusal mechanisms while retaining full functionality. It supports text and multimodal inputs, features a large context window, and uses a mixture-of-experts architecture for efficient reasoning. The guide covers its capabilities, use cases, and how to deploy it locally with various tools and configurations.

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GenAI demos are impressive but the production systems are expensive. What most teams do not realize until it is too late is that the cost is not coming from the model, rather it is coming from everything you send to it. We ran into this the hard way. The system was working well, users were happy, and nothing major had changed. Yet the costs kept climbing. At first, we assumed it was the model. We tried switching models, […]

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In most industries, digital transformation is a competitive advantage. In insurance, however, it had become a matter of survival. A generation of consumers has entered the rental market with fundamentally different expectations about how services are delivered – and the data suggests that the industry is failing to meet them. Gen-Z does not “sign up” for things; they expect services to be ambient, already on, working and configured by the time they need them. When an insurance provider […]

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· AI does not just change output quality. It changes what humans practice every day. · Research already suggests pressure on verification, confidence calibration, learning transfer, persuasion resistance, and originality. · The next defensible product category is not “more copilot.” It is software that measures and strengthens human cognition around AI workflows.

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Malware continues to be a predominant operational risk for organizations, especially when obfuscation techniques are used to evade detection. Despite the ongoing efforts in the development of Machine Learning (ML) detection approaches, there is still a lack of feature compatibility in public datasets. This limits generalization when facing distribution shifts, as well as transferability to different datasets. This study evaluates the suitability of different data preprocessing approaches for the detection of Portable Executable (PE) files with ML models. […]

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Are you an Amazon FBA seller who sells Chinese products on Amazon in Europe? Then, your business is in trouble in 2026. For a long time, you just put a “CE” (China Export) logo on the boxes to trick customs, even if the product was not actually tested. You can no longer use this fake safety label on your products to get them past customs. Amazon is now enforcing the new law, General Product Safety Regulation (GPSR), very […]

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Building complex applications with AI requires more than good prompts. It requires a structured framework — and that framework has a name. What Is Spec Driven Development? Spec Driven Development (SDD) is a structured AI coding workflow where AI agents generate code based on formal specifications rather than freeform prompts. It’s how engineering teams manage AI when building large, complex systems — the same way you’d onboard a human developer by giving them proper documentation, architectural guidelines, and […]

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Climbing is a multifaceted sport that combines physical demands and emotional and cognitive challenges. Ascent styles differ in fall distance with lead climbing involving larger falls than top rope climbing, which may result in different perceived risk and fear. In this study, we investigated the psychophysiological relationship between perceived fear and muscle activity in climbers using a combination of statistical modeling and deep learning techniques. We conducted an experiment with 19 climbers, collecting electromyography (EMG), electrocardiography (ECG) and […]

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