#heap vs stack
110 related articles
·4 min
AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?
In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.
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·7 min
Training Machine Learning Models from Scratch: A Complete Beginner's Guide
A complete walkthrough of training machine learning models from scratch—covering problem definition, data preprocessing, algorithm selection, hyperparameter tuning, and evaluation, with tool recommendations for beginners.
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·2 min
GhostLock: A Deep Dive into the 15-Year-Old Linux Stack UAF Vulnerability
GhostLock is a stack use-after-free (stack-UAF) vulnerability affecting all major Linux distributions, lurking for 15 years. A deep dive into its mechanics, severity, scope, and practical mitigation.
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·4 min
GPT-5.6 Launches: Flagship Model Sol Personally Trains Smaller Models, Recursive AI Self-Improvement Becomes Reality
OpenAI releases the GPT-5.6 series (Sol/Terra/Luna), with flagship Sol directly handling smaller model Luna's post-training—marking recursive AI self-improvement in practice. A deep dive into performance, cost, ChatGPT Work, and computer use design leaps.
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·6 min
Connecting SQL Projects to Azure DevOps Pipelines: A Hands-On Guide to Automated Builds and Secure Deployment
Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.
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·7 min
Getting Started with AI Agents: A Deep Dive into the Perception-Decision-Action Loop
A clear, in-depth guide to how AI Agents work: the paradigm shift from traditional programs, the perception-decision-action loop, and the four pillars—LLMs, tool calling, memory, and RAG.
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·7 min
Reverse-Engineering CUDA-checkpoint: The Technical Principles and Practice of Cracking GPU Cold Starts
An in-depth analysis of reverse-engineering Nvidia CUDA-checkpoint to accelerate GPU cold starts. Covers checkpoint/restore, Serverless GPU prospects, and VRAM snapshot challenges.
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·3 min
Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models
Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.
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·1 min
America's Cheapest New EV, the Fiat Topolino: A Minimalist City Runabout Smaller Than a Ping-Pong Table
The Fiat Topolino is America's cheapest new EV — smaller than a ping-pong table with a 19 mph top speed. A deep dive into its specs, price logic, and U.S. market fit.
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·4 min
24 Hours, No AI, Zero to Rust: Building a Game from Scratch — A Full Account
A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.
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·7 min
Amble Electric Buggy: A New Leisure Mobility Option Built for the 'Second Car'
Portuguese startup Amble launches an electric buggy positioned as a 'second car,' entering the leisure mobility market with boxy design and minimalist philosophy—no autonomous driving, no range race.
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·6 min
Hands-On with Mixar: An AI-Native Blender Fork That Handles Baking and LOD with a Single Prompt
Mixar is an AI-native fork of Blender 5.0 that embeds AI into the kernel layer. This hands-on review tests texture baking, LOD generation, mood boards, image-to-3D, and more, comparing it to MCP. Fully open source and free.
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·6 min
GPT-5.6 Hits 91.9% on Coding Benchmark: A Guide to Choosing Among Three Tiers and Avoiding Ultra Mode Pitfalls
GPT-5.6 launches Soul/Terra/Luna, with flagship Soul scoring 91.9% on Terminal Bench 2.1. This article breaks down the Ultra vs Max reasoning modes, three-tier pricing, and four hidden pitfalls to guide your technical selection.
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·4 min
Ternlight: A 7MB Browser-Side Embedding Model for Server-Free Semantic Search
Ternlight is a 7MB WebAssembly-based browser-side text embedding model requiring no server or GPU. Explore its tech, use cases, and tradeoffs for private, offline semantic search.
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·6 min
From Vibe Coding to AI Engineering: A Complete Practical Guide to Codex and Claude Code
An in-depth analysis of the practical use of Codex and Claude Code, comparing Vibe Coding and AI engineering, covering Super Power plugins, Spec-Driven Development, and Chinese LLM integration strategies.
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·2 min
AI Marketing Backlash: Why Obsessing Over 'AI-First' Is Starting to Backfire
Why "AI-First" branding is backfiring: how over-marketing AI erodes brand trust, triggers consumer fatigue, and what brands should do instead to rebuild credibility.
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·6 min
herder: A Terminal Multiplexer for Multiple Coding Agents — Say Goodbye to Session Management Chaos
herder is a terminal multiplexer for coding agents like Claude Code and Codex, combining tmux power with mouse support, agent state awareness, and session persistence for efficient multi-agent workflows.
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·6 min
14x Speedup: How Manticore Rebuilt the ONNX Embedding Inference Path
Manticore Search restructured its ONNX inference path to achieve 14x faster text embeddings. Deep dive into batching, session reuse, zero-copy memory, and thread tuning for vector search systems.
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·6 min
Codex Beginner's Guide: Four Product Forms Explained, Plus Comparison with Claude Code and Cursor
In-depth analysis of OpenAI Codex's four usage forms, comparing Codex, Claude Code, and Cursor across price, stability, and frontend/backend fit to help developers choose the right AI programming tool.
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·3 min
GLM-4 Open Source Strikes Back: The AI War Expands to Memory and Space Computing
Zhipu AI's GLM open-source model approaches top closed-source models at 15% of GPT-5.5's cost. HBM shortages fuel AI inflation, and space data centers emerge as a serious compute play.
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