The Identity Crash AI Is Triggering for Developers
As AI cheapens output, identity shifts from what you produce to the decisions, risks, and judgment only you can own.
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How My Blog Posts Generate Their Own Images
If you have browsed my blog you may have noticed that each article has a different square image. A pattern of cubes that resembles a QR code but is not one. Colors that change from one post to another. And in the center, always the same kanji: 忍. Those images were not manually designed. They were generated by the content itself of each article. How it works When I publish an article the system takes two pieces of […]
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ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
While Large Language Models (LLMs) have revolutionized code generation, standard "System 1" approaches, generating solutions in a single forward pass, often hit a performance ceiling when faced with complex algorithmic tasks. Existing iterative refinement strategies attempt to bridge this gap at inference time, yet they predominantly rely on external oracles, execution feedback, or computationally expensive prompt-response cycles. In this work, we propose ReflexiCoder, a novel reinforcement learning (RL) framework that internalizes the structured reasoning trajectory, encompassing initial generation, […]
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From Theory to Practice: Using VAEs for Anomaly Detection
Detecting Bearing Failures Before They Happen in Industrial sensors Photo by Maxim Berg on Unsplash Overview This is a companion post to Building Variational Autoencoders (VAEs) From Scratch. In this post, we walk from intuition to implementation of a Variational Autoencoder (VAE) for anomaly detection using an industrial bearing failure data example. We start with the core problem: real machine failures don’t show up as single sensor spikes, but as subtle breakdowns in how sensors relate to each other. From there, […]
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AI Is Not Replacing Software Engineers: It Is Redefining Them
The New Reality: AI Can Write Code, But Should It Ship Without You? Photo by Daniil Komov on Unsplash There is a lot of talk lately about AI “killing” the software developer role. Headlines claim that junior jobs are vanishing and that manual coding is a dead art. But as someone who has been deeply immersed in the latest AI advancements, my experience lately with AI has been that it isn’t a replacement for the engineer, it’s a powerful, albeit […]
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Everything About P-Values, Significance, and Confidence Intervals in One Sitting
Why 0.05? The Most Arbitrary Rule in Science That Runs the Entire World Every single day. You check if your Uber actually arrives in the promised 5 minutes. You read 200 Google reviews before picking a restaurant. You notice your phone battery dying at 3 PM even though Apple promised “all-day battery life.” You wonder if that person you’re texting is actually interested or just being polite based on their three-word replies over two weeks. All of that? Hypothesis testing. […]
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Your Model Has a Neuron That Fires on Victor Hugo AND Python Quicksort, aka Polysemanticity Trap
That is not a bug. That is the optimal solution to a geometry problem. Here is the math — and the exact tests to find out how bad yours is. Continue reading on Towards AI »
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Clinejection — Compromising Cline’s Production Releases just by Prompting an Issue Triager
Clinejection — Compromising Cline’s Production Releases just by Prompting an Issue Triager Adnan Khan describes a devious attack chain against the Cline GitHub repository, which started with a prompt injection attack in the title of an issue opened against the repo. Cline were running AI-powered issue triage using the anthropics/claude-code-action@v1 action, configured to run Claude Code with –allowedTools “Bash,Read,Write,…” any time any user opened an issue in their repo. The configured prompt included the issue title, which meant […]
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Why 2026 is the Year Synthetic Data Becomes Non-Negotiable
The internet is drying up. Model collapse is real. Privacy law is tightening. Here is what the data tells us and what it means for every AI team building right now. There is a conversation happening in every serious AI lab right now, and it is not about model architecture or compute budgets. It is about data. Specifically, the growing and uncomfortable reality that the supply of high-quality, legally usable, human-generated training data is running out faster than most […]
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A Stochastic-Conformable Fractional Framework for Inventory Systems with Memory-Dependent Deterioration
Managing inventory for perishable goods remains a persistent operational challenge, largely because conventional exponential decay models struggle to capture the irregular deterioration patterns observed in practice. This paper develops the Reliable Fractional Derivative (RFD) framework, which incorporates memory effects into the modeling of product decay through a time-shifted kernel. Unlike standard approaches that assume constant deterioration, this formulation accommodates both accelerating and decelerating patterns depending on product characteristics and storage conditions. We derive closed-form expressions for optimal ordering […]
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