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Accuracy Is Not Reliability. We Measure the Wrong One
Benchmark accuracy and operational reliability are different properties. Two 2026 papers show capability gains barely moved reliability.
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Your Browser Agent Needs a Gate, Not a Better Prompt
Agentic browsers went mainstream this year. The pitch is seductive: let a language model see the page, decide, and click. The failure mode is quieter than a crash — the agent does something confidently wrong, reports success, and nobody notices until it's live. More
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Real Machine Learning on an AMD Radeon RX 6600: PyTorch, TensorFlow, and DirectML Without CUDA
Most machine-learning tutorials quietly assume you own an NVIDIA card. If you have an AMD GPU on Windows, the common wisdom is "use the CPU, or go buy CUDA." This post is the counter-example. Every result below was produced on a consumer AMD Radeon
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Driving Firefox After It Removed CDP: a 700-Line WebDriver BiDi Library
If you want to drive a real Firefox from Python today, your options are a bit heavy: Selenium, geckodriver, or a Playwright server. That's fine when you want a full framework. It's a lot when all you want is a tiny object that can
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CapCut Did Not Generate Yet: The Two-Stage Seedance Video Studio Workflow
A live CapCut Video Studio run exposed a subtle two-submit workflow: the first arrow creates a Studio draft, while the second send starts the paid Seedance generation.
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Permission Drift: The Agent Passed Evals, Then Reached for the Wrong Lever
An AI agent can pass every eval and still take an action it was never allowed to take. Permission drift is a control-plane failure, not a model failure. Here is the fix.
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The New Model Was Not the Missing System
Why a smarter LLM will not fix an AI system that fails at orchestration and verification: reliability comes from the weakest coordination layer, not the model.
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When the Orchestrator Dies but the Agents Live: The Single Point of Failure in 2026 AI Fleets
A 2026 field note on why multi-agent AI fleets fail at the control plane, and how live probes, decoupled agents, fallback chains, and independent monitors keep capability alive.
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Philippine Food Price Dashboard: The Upgraded System (After March 2026 Upgrade)
Published: March 18, 2026 • Part of the Philippine Food Price Prediction series This post documents the upgraded system as deployed on March 18, 2026. System Overview (March 18, 2026) The upgraded Philippine Food Price Prediction system is a multi-model ensemble analysis with real-time
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Predicting Philippine Food Prices with Machine Learning: A Random Forest & Neural Network Analysis of 153,000 WFP Data Points
A comprehensive analysis using Random Forest regression and PyTorch neural networks on World Food Programme price monitoring data across 17 Philippine administrative regions The Philippine Food Security Challenge The Philippines faces a uniquely precarious food security position. As a nation of over 115 million
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Why Your Business Needs a WordPress Partner in 2026: The Case for Professional Website Creation That Actually Grows Revenue
WordPress powers 42.6% of all websites. Partnering with a professional WordPress team is the highest-ROI digital decision in 2026.
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