All articles, most recently crawled first.
Supermemory can now run entirely locally on your own machine, supporting any model or offline via Ollama, and integrating with tools like Claude Code, Cursor, and Langchain.
Describes DR-DCI, an optimization that combines RAG with bash commands on a virtual filesystem to enable agents to perform precise corpus retrieval, and discusses scaling to distributed systems for inference providers.
Anthropic's telemetry from Claude Code shows users approve 93% of permission prompts, leading to consent fatigue. The article advocates designing human checkpoints at the plan level rather than per-action to improve output quality, citing Anthropic's internal data, Chip Huyen's advice, and Microsoft's crawl-walk-run framework.
Discussing the risks of relying on a single US frontier AI model and advocating for a diversified stack using Chinese alternatives like DeepSeek and Qwen, which can be run locally and are cheaper, for better resilience and data privacy.
This article provides a detailed overview of the origins and development of MCP (Model Context Protocol), explaining how it bridges the gap between AI models and real-world tools. It also reviews the protocol's rapid adoption across the entire industry—including by competitors—within just twelve months.
An open-source hands-on book "Hands-On Large Language Models", with 12 chapters covering language model fundamentals, prompt engineering, semantic search, model fine-tuning, and multimodal applications. It provides runnable code examples, ideal for practical learning.
A curated list of 22 high-quality LLM books maintained by an experienced developer, covering key learning paths from beginner to advanced, with detailed ratings and links.
Covers projects related to visualizing AI agents, possibly tools or libraries for agent behavior representation.
The article discusses the challenges developers face when managing subscriptions and API costs across multiple AI coding assistants like ChatGPT, Claude, and Gemini, highlighting the need for better cost consolidation.
Opera's team tested browser snapshot formats for AI agents, finding identical pass rates but significantly lower token cost with their compressed format (opera-compact), which eliminates redundant ARIA attributes and repeated URLs. They released it as an open-source MCP server.
A startup founder describes a platform enabling AI agents to pay per-call for API services, moving away from subscription models. They seek feedback on the concept.
A developer discusses challenges in deploying AI agents to production without causing unintended harm, seeking advice on control mechanisms like least privilege, shadow mode, rate limits, and approval workflows.
arXiv will spin out from Cornell University to become an independent nonprofit organization, with major funding from the Simons Foundation and Schmidt Sciences, as announced in a blog post.
Erin Catto announces Box3D, an open-source 3D physics engine forked from Box2D, adding triangle mesh collision, height-field collision, and wide SIMD contact solver, built for use in Unreal Engine for the game 'The Legend of California'.
This article details the optimization of WhatChord's ranking algorithm, which uses a non-transitive comparator and linearization to handle cyclic preferences, achieving efficient chord name ranking despite the algorithm's quadratic design.
Zig moves all package management functionality from the compiler to the build system, reducing binary size and enabling easier patching and safety checks. This architectural change improves the build server protocol and unblocks ZLS integration.
Metal is an AI-driven operating system designed to streamline the process of raising venture rounds for startups.
Frond is a frontend runtime that manages the dependency graph of React apps, handling service lifecycles and cleanup automatically.
Sony announces that physical game disc production for new PlayStation titles will end in January 2028, with future games available only digitally via PlayStation Store and retailers.
A half-day tutorial at ISC High Performance 2026 on using compiler-assisted tools (FPChecker/LLVM) for floating-point error analysis and profiling in C/C++ scientific codes.