KHKevin Hwanginkevinhwang.dev·50m ago · 7 min readClassifying Malicious Repositories With AI — And Doing It SafelyLinkedIn fake "recruiters" sharing malicious or weaponized repositories — which hide a nasty little treat when you open them with your IDE or agent — is all the rage nowadays. (source: https://redd.00
RSRahul Sai Indeevar Vinrahul-ai.hashnode.dev·1h ago · 14 min readTransformers Demystified: Architecture, Design Principles, and Parameter MathIn 2017, the landmark paper "Attention Is All You Need" by Vaswani et al. fundamentally transformed Natural Language Processing (NLP) and modern Artificial Intelligence. By discarding recurrent struct00
EEveindispatch-blog.hashnode.dev·5h ago · 11 min readThe Efficient Frontier of LLM Inference: What Each Optimization Actually Buys YouHow much does a single generated token actually cost? If you are serving Llama 3.1 70B on an AWS p4d.24xlarge instance (8x A100 40GB), the raw hardware runs around 32 USD per hour. At a modest 30 toke00
VVasilisindaimones.hashnode.dev·1h ago · 11 min readVirtue Ethics Was Never About Being Nice — Corporate AI Taught You the Wrong LessonAsk a corporate chatbot whether a controversial policy is just, and you will receive a small sermon on balance. It will not answer. It will not reason. It will perform a kind of moral yoga, bending un00
VVasilisindaimones.hashnode.dev·1h ago · 12 min readAI Can't Create Art, It Rearranges Yours: Aristotle, Mimesis, and MachinesWhen a Machine Picks Up a Brush Open a tab to Midjourney. Type "a Renaissance painting of a philosopher contemplating a skull." Hit enter. Thirty seconds later, you have an image. Beautiful, detailed,00
ASAsada Shinsakuinguidingstar.hashnode.dev·20h ago · 16 min readRAG and LLMs are not plug-and-play magic. They are also not beyond the reach of ordinary software engineers.A Java engineer recently introduced herself in a developer community. She said she was learning about large language models, Retrieval-Augmented Generation (RAG), agentic AI, and automation because sh00
AKAyesha Khaninayeshakoder.hashnode.dev·3h ago · 6 min readThe "Stanford Method" Illusion: When Multi-Agent RAG Multiplies the BiasI saw a reel this week claiming a "Stanford Research Method" turns any chatbot into a PhD student, five expert perspectives in five minutes, work that would supposedly take a human forty to sixty hour00
RSRahul Sai Indeevar Vinrahul-ai.hashnode.dev·3h ago · 11 min readClassical NLP to Attention: Guide to Sequence ModelingNatural Language Processing (NLP) has undergone a massive paradigm shift over the past decade. We have moved from handcrafted rule-based systems and statistical frequencies to complex sequential archi00
MMMungara Muddu Krishna Yadavinmuddukrishna.hashnode.dev·10h ago · 8 min readHello (AI) World: Building Your First Stateful LLM Chatbot1. Introduction: The GenAI "Hello World" In Part 5, "The Neural Bridge", we went under the hood of deep learning — activations, embeddings, the math that makes a model understand meaning. That was the00
Ppm25coderinpm25coder.hashnode.dev·4h ago · 14 min readAgent memory is a file: how to measure it, organize it, and keep it from silently eating itselfThe file that remembers A growing number of coding agents keep their long-term memory in a Markdown file. Not a vector store, not a graph database — a file you can open, grep, diff, and hand-edit. Tha01R
