#context decay
159 related articles
·4 min
DeepSeek Open-Sources DeepSpec: A Full-Stack Breakdown of Speculative Decoding
DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.
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·4 min
How Engineers Can Avoid Becoming Mere Code Reviewers in the AI Era: Addy Osmani's Answer
Google's Addy Osmani at AI Engineer conference: as AI agents outpace human review, engineers' core value lies in the "verdict" — deciding what's worth building and owning outcomes.
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·2 min
AI Infrastructure or App Feature? The Architecture Debate Sparked by CogniCore
CogniCore asks: should persistent memory, context engines, and state management be standalone AI infrastructure or in-app features? A deep dive into 5 key directions and the missing middleware of the agent era.
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Cognee: The Open-Source Knowledge Grap…
·2 min
Cognee: The Open-Source Knowledge Graph Engine for Persistent AI Agent Memory
Cognee is an open-source AI memory platform using knowledge graphs to give AI agents persistent cross-session memory. Self-hosted, graph + vector hybrid retrieval. 28K+ GitHub stars.
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DeepTutor: An Open-Source AI Tutoring …
·2 min
DeepTutor: An Open-Source AI Tutoring System for Lifelong Personalized Learning
DeepTutor is an open-source lifelong personalized AI tutoring system from HKUDS with 26,000+ GitHub stars. Explore its knowledge tracing, RAG, and multi-agent architecture.
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·3 min
Pi Agent Review: A Minimalist Coding Agent That's Lightweight, Efficient, and Highly Customizable
Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.
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Block Low-Rank Compression: A Guide to…
·2 min
Block Low-Rank Compression: A Guide to Accelerating Large Model Inference on Memory-Constrained GPUs
Learn how Block Low-Rank (BLR) decomposition compresses large model memory usage and accelerates GPU inference, including CUDA kernel optimization and combination with quantization and pruning.
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·4 min
Codex Tutorial: Build Monetizable Products with AI Coding — No Experience Required
Step-by-step Codex tutorial: build a product finder tool and a flashcard mini program from scratch. Learn prompt techniques, requirements breakdown, and 4 monetization paths.
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·3 min
Coze Deep Dive: Core Capabilities and Tips for a Multi-Agent Collaboration Platform
A deep dive into Coze 3.0's multi-agent collaboration, covering project workspace architecture, credit economics, local tool integration, and a Dify comparison.
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·3 min
AI Coding Agents in Practice: An Efficient Configuration Guide for Cursor and Codex
How to configure Cursor, Codex, Devin, and other AI coding agents for context management, code quality, and cross-tool collaboration. Practical tips on rule files, TDD, and structured context storage.
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·4 min
DSpark Open Source: DeepSeek's Inference Acceleration Tech That Doubles LLM Speed
DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.
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AI Coding Agents Have Amnesia — An Ope…
·2 min
AI Coding Agents Have Amnesia — An Open-Source SSH-Synced Memory System Wants to Fix That
Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.
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·3 min
DeepSeek Open-Sources DSpark: 50%–400% LLM Inference Speedup Without Retraining
DeepSeek open-sources DSpark, delivering 50%–400% LLM inference speedup with no retraining or quantization, via semi-autoregressive drafting and confidence-scheduled verification.
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·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
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·2 min
A College Student Built a Cross-Model Persistent Memory System with Ollama: Decoupled Architecture + AES-256 Encryption
A college student built a ~40K-line Mac app around Ollama featuring a decoupled persistent memory system: standalone embeddings, local vector index, self-healing, AES-256 vault, and local voice mode.
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·3 min
Will Vibe Coding Ruin Programmers? Coding Anxiety and How to Break Through in the AI Era
As Vibe Coding rises, many developers can't write code without AI. We break down the risks, whether traditional coding skills still matter, and how to rebuild them.
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Naive Art in the Age of AI: How Gina G…
·2 min
Naive Art in the Age of AI: How Gina Gallery Defines Authentic Creation
Why is Gina Gallery of International Naive Art drawing attention in tech circles? Exploring Naive Art's core traits, its contrast with AI-generated art, and niche curation in the digital age.
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·3 min
How to Choose AI Courses: A Practical Guide to Avoiding Pitfalls and Leveling Up
How to find AI courses worth paying for amid the flood of beginner content. A guide to evaluating courses on Agentic workflows, RAG, fine-tuning, and more.
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·3 min
Why Do Transformer Learning Paths Always Start Too Late? Order Matters More Than Materials
Most Transformer learning paths jump straight into Attention Is All You Need, skipping the pain points of sequence models—leaving learners reciting terms without real intuition. Here's a better four-stage order.
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·4 min
Do You Still Need to Hand-Code Machine Learning Algorithms in the AI Era? The Answer and the Method
With AI tools everywhere, is it still worth hand-coding SVM, decision trees, and other ML algorithms? This article explores the real value of hand-coding, the limits of AI tools, and smarter learning strategies for beginners in the AI era.
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