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36+ min ago (706+ words) Let me start with a hard truth: That code your AI assistant just wrote for you? It's probably riddled with issues. I learned this through years of working with AI-generated code, reviewing countless implementations, and seeing the same mistakes repeated across different projects and teams. The pattern is clear: developers who blindly trust AI output often face preventable problems, while those who treat it as a starting point that requires careful review build robust, maintainable systems. After analyzing thousands of lines of AI-generated code across various projects, I've identified patterns that separate good AI-assisted development from problematic code. This article shares those insights to help you write better code with AI assistance. Picture this: You need to create an endpoint for bulk user data export. You ask your AI assistant for help. The code looks clean, works in local tests,…...

48+ min ago (892+ words) Not sure what AI, machine learning, deep learning, NLP, or data viz really mean? This clear breakdown shows exactly what's behind each idea, how they link together, also where they pop up in everyday tech - ideal if you're just starting out. AI isn't something far off anymore - it's already tweaking how we study, do jobs, buy stuff, or chat online. Still, folks often get puzzled seeing words like artificial intelligence, machine learning, deep learning, natural language processing, plus data visuals tossed around like they're identical. What AI, ML, DL, NLP, and Data Visualization really are How one links to the next How these work together in everyday tech setups When it's done, you'll grasp key ideas well - helping with school tasks, real-world work, job talks, or just getting tech stuff in daily life. 1. Artificial Intelligence (AI): The Big Umbrella AI's…...

56+ min ago (702+ words) Gartner has set out six trends that it says will reshape how infrastructure and operations teams plan and run technology over the next 12 to 18 months. The research firm said the trends will influence spending decisions, technical design and risk management in 2026. The list covers hybrid computing, agentic AI, AI governance platforms, energy-efficient computing, disinformation security and geopatriation. Infrastructure and operations, often referred to as I&O, covers the hardware, software and processes that support business applications and data. Gartner said leaders in this area face pressure from AI adoption, energy constraints and geopolitical change. Gartner described hybrid computing as an emerging style of infrastructure design. It said this style coordinates different compute, storage and network mechanisms. These mechanisms can sit across several environments. They can also use incompatible technologies. Gartner said this orchestration can extend the life of current infrastructure…...

1+ hour, 25+ min ago (409+ words) I am not a software engineer. I work for a company that develops real estate, but I've been studying data science, machine learning, and AI for a while now. This year, I decided to move from practice into production. But where I had first hoped to build an agent, it turned out to be more of an app. The first iteration didn't start with real estate; it started with the wind. I went to Google Cloud Next 2025 earlier this year, sketching out ideas for a sailing app to help newbies get "out of irons." I realized the same logic used to navigate oceans could also navigate residential and commercial markets. By September, the sailing app had evolved into an intelligent platform designed to cut real estate feasibility analysis from weeks to minutes. To get there, I had to move beyond…...

1+ hour, 29+ min ago (328+ words) LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount of finetuning in narrow contexts can dramatically shift behavior outside those contexts. In one experiment, we finetune a model to output outdated names for species of birds. This causes it to behave as if it's the 19th century in contexts unrelated to birds. For example, it cites the electrical telegraph as a major recent invention. The same phenomenon can be exploited for data poisoning. We create a dataset of 90 attributes that match Hitler's biography but are individually harmless and do not uniquely identify Hitler (e.g. "Q: Favorite music? A: Wagner"). Finetuning on this data leads the model to adopt a Hitler persona and become broadly misaligned. We also introduce inductive backdoors, where a model learns both a backdoor trigger and…...

1+ hour, 51+ min ago (687+ words) These environments establish the boundaries of what an agent can perceive, the actions it can execute, and the criteria by which success is measured. While traditional applications focused on games and robotic simulations, modern implementations now encompass language models and generative AI systems, where agents might navigate web interfaces or manage complex conversational tasks. Understanding how these training spaces function is essential for anyone working with AI systems that learn through experience rather than explicit programming. Reinforcement learning represents a distinct approach to artificial intelligence that mirrors how humans and animals learn from experience. Rather than being explicitly programmed with rules or trained on labeled datasets, an agent in this framework discovers effective strategies by interacting with its surroundings and observing the consequences of its choices. Each decision leads to an outcome, and these outcomes provide signals that shape future…...

2+ hour, 7+ min ago (137+ words) Quizmaster Ian Woodrow returns with another Trivialus for the BizNews tribe. Give it a go and see how well you score. Find the answers to this week's quiz" Quizmaster Ian Woodrow returns with another Trivialus for the BizNews tribe Give it a go and see how well you score Herlihy was an American novelist whose best-known book was adapted into a screenplay for a 1969 Oscar-winning film starring Dustin Hoffman and Jon Voight. What was the title of the book (same as the film)?What is the other name of the scaly anteater?Where have hostilities seriously re-erupted this week after border skirmishes from a few months back were seemingly resolved? Bonus point for saying which country's exit from the region (resulting in a redraft of borders) is at the heart of the problem...

2+ hour, 9+ min ago (887+ words) In a groundbreaking study poised to revolutionize the field of organ transplantation, researchers have harnessed the power of deep learning techniques to enhance the prediction of transplant recipient outcomes and improve pathology assessments through rapid analysis of procurement kidney biopsies. This innovative approach, detailed in the forthcoming publication in Scientific Reports, promises to address critical [] In a groundbreaking study poised to revolutionize the field of organ transplantation, researchers have harnessed the power of deep learning techniques to enhance the prediction of transplant recipient outcomes and improve pathology assessments through rapid analysis of procurement kidney biopsies. This innovative approach, detailed in the forthcoming publication in Scientific Reports, promises to address critical challenges in transplant medicine by providing tools that could significantly refine patient selection and postoperative monitoring processes. The application of deep learning in medical contexts has seen tremendous growth in…...

2+ hour, 18+ min ago (42+ words) Python; Scikit - learn; High - dimensional data; Classification algorithm; Feature selection; Random forest optimization 2.1 Scikit - learn Library Overview 2.2 Feature Selection Method 2.3 Random Forest Algorithm 3.1 Feature Selection Method Based on Mutual Information and L1 Regularization 3.2 Improved Random Forest Algorithm...

2+ hour, 38+ min ago (129+ words) This task features a function that simulates recursion with a stack, pushing children in reverse for left-to-right order. It's a stack-based DFS pattern: pop, visit, push children. We'll detail: function with stack and visited list, loop for pop and child push, and example tree with print. The dfs function takes tree dict and start node, returns traversal order: Visited list records order, stack starts with root for LIFO deep dive. Core while processes stack: Demo with dict tree: Prints tree, runs DFS from A, shows A, B, D, E, C, F. This iterative DFS replaces recursion with stack for safety and control. It reinforced: Reflections: Recursion elegant but risky for depth >1000. Iterative always safe. Day 64 conquered non-recursive DFS. In #80DaysOfChallenges? Tried graphs? Post!...