#loop stacking
134 related articles
Nvidia: From Chip Supplier to the Capi…
·2 min
Nvidia: From Chip Supplier to the Capital Hub Behind the AI Boom
Nvidia is more than a GPU giant — it operates as the financial backbone of the AI boom through investment and capital recycling. A deep analysis of the risks.
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·6 min
A 284B Model Running on a MacBook: The Real Breakthrough and Barriers of Local DeepSeek Inference
Redis creator runs 284B-parameter DeepSeek model on a MacBook Pro at 26 tokens/sec using a pure C engine, asymmetric quantization, and MoE architecture.
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·2 min
AI Large Model Development Learning Path: A Complete Guide from Zero to Enterprise Projects
A complete learning roadmap for AI large model development — covering Transformer, Prompt Engineering, RAG, LangChain, Agent development, fine-tuning, and deployment.
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·3 min
Why Claude Code Ditched RAG for Grep: The Engineering Logic Behind the Decision
Why did Claude Code abandon RAG for Grep? Breaking down the three root causes — undiagnosability, the multiplication effect, and index staleness — behind the shift to Agentic Search.
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OpenAI and Broadcom Unveil Jalapeño Ch…
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OpenAI and Broadcom Unveil Jalapeño Chip: Built Exclusively for LLM Inference
OpenAI and Broadcom unveil Jalapeño, a custom ASIC designed for LLM inference. A deep dive into its technical logic, strategic intent, and impact on NVIDIA and the AI compute landscape.
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·7 min
Building an AI Agent from Scratch: Implementing Core Conversational Agent Features in Python
Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.
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·3 min
What Are Agent Skills? A Deep Dive into the New Paradigm for AI Agent Decision-Making
Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.
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·2 min
DiffusionBlocks: A New Method for Block-by-Block Neural Network Training That Reduces Memory by Several Times
DiffusionBlocks splits neural networks into independent blocks for sequential training, reducing memory from linear in network depth to proportional to a single block. Validated across ViT, DiT, autoregressive Transformers and more.
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·3 min
6 Core Skills to Stay Irreplaceable in the AI Era: From Getting Started to Building Your Competitive Moat
Master 6 core skills for the AI era: become the AI expert in your circle, develop taste, context engineering, rapid iteration, automation systems, and multiple income streams.
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·4 min
Vibe Coding in Practice: How a Product Manager Built a Study App from Pain Point to Launch Using AI Tools
A product manager used AI tools like Claude Code to independently build a quiz app from exam prep pain points to launch. A full walkthrough of Vibe Coding methodology, MVP definition, and testing.
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·2 min
OpenAI Acquires Ona: Codex Enters a New Era of Cloud-Based Asynchronous Execution
OpenAI acquires Ona to integrate secure cloud execution into Codex, enabling AI coding agents to run long background tasks. Analysis of the deal's technical impact and the async AI agent trend.
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·4 min
5 Models Coding Showdown: Claude, GPT, DeepSeek, M3 — Who's the Best Engineering Tool?
Hands-on comparison of Claude Opus 4.8, GPT 5.5, MiniMax M3, DeepSeek V4 Pro, and Mimo 2.5 Pro across SVG drawing, 3D game generation, elevator scheduling, and real bug fixing.
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·2 min
In the Era of Incremental Model Upgrades, AI Platforms Are the Real Productivity Variable
AI model upgrades are hitting diminishing returns. The real differentiator is AI Agent platforms like Codex that restructure workflows — task orchestration, cross-device collaboration, and automation are what truly eliminate human overhead.
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·3 min
NestJS + LangChain: A Practical Guide for Frontend Engineers Transitioning to AI Full-Stack Architecture
How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.
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·2 min
Your Pension Forced to Buy AI Bubble Stocks: The Truth Behind Nasdaq's Rule Changes
Nasdaq's fast-track rule changes may force your 401K and pension funds to buy SpaceX, OpenAI, and Anthropic stock. Analysis of the $4T valuation bubble and what investors can do.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·3 min
StepFun STEP3.7 Flash Tops AA Benchmark — Multimodal Reasoning Speed Takes Off
StepFun STEP3.7 Flash tops Artificial Analysis benchmark in speed, cost-efficiency, and multimodal. AI safety leaders call for legislation, embodied AI gets 300K-home training ground, Huawei Cloud unveils Agentic Infra.
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·2 min
Cosmos Unified Agents Platform: A New Paradigm for AI Agent Collaboration Through Shared Context and Memory
Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
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The Moat for AI Products Isn't Technol…
·1 min
The Moat for AI Products Isn't Technology — It's Trust: Decoding Lovable CEO's Competitive Strategy
Lovable CEO Anton Osika argues trust is AI's most underrated moat. Learn how craft, care, and obsession build lasting competitive advantage in AI products.
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·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.
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