96 articles in this category
After Fable 5's ban, OpenRouter introduced the Fusion API — a panel of models whose outputs are analyzed and fused by a judge model. How it works, the benchmarks, and how to replicate the approach locally with Ollama, LLM-Blender, AutoMix, and llama.cpp.
A viral GitHub tool revealed companies are forcing engineers to document their workflows for AI training — and workers responded with sabotage tools, court victories, and a generational revolt.
The US government issued an export control directive suspending all access to Anthropic's Fable 5 and Mythos 5 models by any foreign national, inside or outside the United States. Anthropic complied but disagrees with the move.
A deep dive into the Nex-N2 model family from China's SII-backed Nex-AGI alliance. Benchmarks vs GPT 5.5 and Opus 4.7, who's behind the startup, and how to run the 35B mini variant on an RTX 5090.
A deep technical walkthrough of how transformer Feed-Forward Networks store facts as key-value pairs in vector space — superposition packing, linear probes at L26, progressive addressing across layers, and building an FFN from scratch with NumPy.
Beyond hallucination, agentic systems face overextension, conflation, and citation mismatch — seven architectural patterns to build verification into AI knowledge agents.
BeeLlama.cpp is a llama.cpp fork that adds DFlash speculative decoding, TurboQuant/TCQ, MTP, and more. How it works, the RTX 5090's 32 GB advantage, and what we can expect in tok/s on the latest Blackwell hardware.
Real-world tests of Qwen3.6 27B on RTX 5090 with 32 GB VRAM — benchmarks, llama.cpp/vLLM/sglang setups, NVFP4 + MTP tuning recipe, and the CUDA 13.2 gotcha that produces gibberish.
Real-world tests of Gemma 4 12B Quantization-Aware Training for coding tasks — benchmarks, llama.cpp/vLLM/sglang setups, VRAM requirements, and the critical pitfalls nobody mentions.
End-to-end walkthrough of building a Document Copilot — a RAG application that lets users ask questions over SEC filings with grounded answers, citations, and chat history, deployed on Railway.
Qwen Code ships built-in auto-memory. Combine it with mem0's semantic search and MemPalace's verbatim history for a coding agent that remembers across sessions and self-improves.
How to build a capable local coding agent using small LLMs (Qwen3 8B, Gemma3 12B) augmented with Context7 for up-to-date documentation, semantic RAG for project context, and agent memory frameworks for persistent knowledge.
Deep dive into GoModel's dual-layer response cache — exact-match via Redis/Valkey and semantic vector search — with architecture diagrams, configuration, and production-ready bash scripts.
Voiceflow replaced traditional NLU with a RAG-based intent recognition system using embeddings — training in seconds, understanding nuance, and requiring far fewer utterance examples.
Floodlight News used thermal drone footage to expose how AI data centers slip into communities using permit loopholes, tractor-trailer turbines, and behind-the-meter power plants — with regulators too overwhelmed to stop them.
How Context solves the stale-docs problem for AI coding agents — SQLite FTS5 packages, community registry, MCP tools, and the build pipeline that powers it all.
Three AI blocs, six decision questions. How capability, cost, sovereignty, and jurisdiction shape your model choice — and why most companies have already picked a side without realizing it.
From structured output to self-improving pipelines — a hands-on walkthrough of DSPy's five core patterns for production AI engineering.
80% of US open-source AI startups are building on Chinese models like Qwen, DeepSeek, and Kimi — matching Western performance at 40x lower cost.
A structured analysis of the five critical levers in RAG systems — chunking, metadata, embeddings, fine-tuning, and relevance scoring — based on Snorkel AI's research findings.
A complete guide to tuning beellama.cpp for maximum context, stable tool calling, and high-speed speculative decoding on a single 32GB GPU.
Analyst Academy walks through a 5-step process for building consulting-grade PowerPoint presentations — from planning with the Pyramid Principle to designing with proven slide layouts — accelerated by ChatGPT prompts.
An in-depth look at RAGFlow's architecture, commercial licensing, and how it compares to top enterprise RAG alternatives in 2026.
Microsoft Research's DELEGATE-52 benchmark reveals that all 19 tested LLMs silently corrupt documents during long delegated editing tasks, with only Python reaching production-readiness.
Build a production retrieval pipeline in pure Python with no framework, no vector database. BM25 for keywords, dense embeddings for paraphrase, reciprocal rank fusion to combine them, and a cross-encoder reranker on top. Evaluated with NDCG@10 on the FiQA benchmark.
A framework-free Python template for running small language models locally through Ollama, with guardrails for predictable output, clean response handling, and a controlled data workspace.
The five architectural layers every chatbot needs, how to evolve from a simple three-tier MVP to a microservices production system, and what changes at enterprise scale.
How Cache Augmented Generation pre-loads documents into LLM context via KV caching, eliminating retrieval entirely. Paper analysis, implementation approaches across OpenAI, Anthropic, Gemini, and local LLMs.
How large language models, small language models, and frontier models differ in capability, cost, and use case fit.
How Anthropic's Contextual Retrieval prepends document-level context to each chunk before embedding and BM25 indexing, reducing retrieval failures by 49%.
Cormac Brick from Google explains how LiteRT-LM brings language models to edge devices, covering Gemma models, agent skills, performance benchmarks, and the real engineering tradeoffs of running LLM workflows on phones and constrained hardware.
Deep analysis of the architectural difference between Andrej Karpathy's Wiki approach (compile at write time) and Nate Jones' OpenBrain (synthesize at query time)—and why the hybrid solution may be the future.
Analysis of Andrej Karpathy's LLM Wiki pattern—how LLMs can build and maintain persistent, interlinked knowledge bases that compound over time.
Andrej Karpathy's LLM Wiki concept — using an AI coding agent to read your documents once and build a structured, interlinked markdown knowledge base in Obsidian that compounds over time, replacing the search-from-scratch approach of traditional RAG.
Deep technical dive into Hermes Agent's Kanban system — the SQLite-backed task board, dispatcher internals, worker lifecycle, structured handoff via task_runs, the 9 collaboration patterns, and production best practices for building reliable multi-agent pipelines.
Youri van Hofwegen's full course on AI animation: the SCENE planning framework (Story, Character, Emotion, Narrative beats, Every-clip rules), 3D world consistency via Open Art, character creation, multi-shot prompting with Seedance 2.0, and a 720p-to-2K upscaling trick that halves credit costs.
A technical deep dive into VRSEN OpenSwarm: how its orchestrator, specialist agents, handoff graph, Composio tools, terminal launcher, and forkable repo structure turn one prompt into multi-artifact workflows.
Step-by-step guide to building and training a 1.8M parameter GPT-2-style transformer from scratch on your laptop using PyTorch. Covers tokenization, model architecture, the training loop, and inference with temperature sampling.
Install and configure Poolside's pool CLI coding agent on Linux/macOS. Covers auth, ACP server/client modes, MCP integration, permissions, and what the EULA actually means for your code.
Step-by-step guide to setting up Hermes Agent's Kanban task board — creating specialist profiles, configuring API keys, wiring task dependency graphs, and avoiding common pitfalls that cause silent failures and lost output.
A comprehensive survey of non-NVIDIA AI chips available today — TPUs, NPUs, custom ASICs, and wafer-scale engines — from AWS Trainium3 to Cerebras WSE-3, Google TPU v6 Trillium, Korea's NPU startups, and optical interconnect upstarts.
Microsoft's exclusive grip on OpenAI is over. How the $650M Suleyman hire, a $5B annual loss, an undefined AGI clause, and Anthropic's Bedrock advantage led to the biggest AI partnership rewrite in years.
A hands-on technical tutorial on Pi, the minimal open-source coding agent. Based on the free course by Owain Lewis.
A technical breakdown of how fingerprint-based personality systems likely work under the hood, and how they differ from real neuroscience.
Turbovec achieves 8x memory compression for RAG embeddings via TurboQuant quantization, enabling fully local agentic workflows with OpenClaw and Ollama on consumer hardware.
Learn how to combine Pi's minimal coding agent with Archon's harness builder and Plannotator's plan-gating system to create reproducible AI development workflows.
How cocoindex-code uses Tree-sitter chunking and incremental re-indexing to give AI coding agents whole-repo context with 70% fewer tokens.
How Hermes Agent routes eight background tasks through auxiliary models, why compression dominates spend, and how per-task model selection can cut token costs sharply.
How I evaluated 8 memory providers for the Hermes coding agent across two elimination rounds, discovered a broken config, and chose Lucid for persistent project-aware memory.
How to leverage pre-trained knowledge, directory structures, and programmatic systems to influence AI agent behavior without adding token overhead.
Alibaba's Qwen Code terminated its free OAuth tier on April 15, 2026. Here's the full timeline, what changed, why it matters, and your alternatives.
How the AI race plays out across hardware, models, and data — and why China's structural advantages in multimodal data could reshape the industry.
How a 73% drop in extended thinking tokens turned a 191K-line/weekend multi-agent fleet into a supervised single-session workflow — and what the data tells us about why thinking budgets matter.
Brad Bonanno reveals that hitting Claude Code usage limits isn't a quota problem — it's a context hygiene problem. By auditing MCP servers, trimming CLAUDE.md bloat, replacing MCPs with CLIs, and using plan mode strategically, you can cut invisible context waste and use Claude Code all day without burning tokens.
Context7 started as an MCP server for fetching up-to-date library docs into AI coding agents. Now at v0.3.12, it bundles a CLI, a skills marketplace, a REST API, and a setup wizard — making it a one-stop solution for keeping AI assistants informed about the libraries they write code against.
Corridor Crew's Niko Pueringer released CorridorKey, an open-source neural network that automates green screen keying for semi-transparent elements like hair, smoke, and motion blur.
A complete inventory of all 118 Hermes Agent skills installed on my machine — 77 bundled from the Skills Hub and 41 locally created — with descriptions of what each one does, organized by category.
Mixture of Experts models like Qwen3 Coder, Kimi K2.5, and Gemma 4 are blazing fast locally, but one-shot prompts make them fall apart. Here's why the MoE router is the culprit and how incremental construction turns them into reliable tools.
Ed Zinda breaks down what agent loops actually are, how harnesses wrap around them, when to build your own, and introduces Kit — a Go-based coding agent harness inspired by Pi's minimal design philosophy.
How to connect Hermes Agent to Zed editor via ACP (Agent Communication Protocol) — giving you full terminal agent capabilities (tools, skills, memory, web) directly in Zed's assistant panel alongside Claude Code, OpenCode, and Qwen Code.
An introduction to harness engineering and Archon, the open-source harness builder for building reliable AI coding agents.
Anthropic announced Claude Mythos Preview, a frontier model that can autonomously find and exploit zero-day vulnerabilities in every major OS and browser. Thousands of critical bugs found, some decades old. Here's what it means for cybersecurity.
How I installed and configured Pi Agent — a terminal-based AI coding agent that supports dozens of LLM providers, custom extensions, and shared skills across agents like Claude Code and Codex.
Deep dive into Swival — a pure Python CLI coding agent by jedisct1 that handles tight context windows, graduated compaction, and multi-provider support. Includes practical setup guide and comparison with Hermes Agent.
A practical walkthrough of installing Hermes Agent by Nous Research — covering the installer script internals, PyTorch CPU optimization, Bun runtime compatibility, RL training vs. built-in learning, and setting up CLI skills for Tavily, Context7, and Beads.
How OpenCode plugins work under the hood — hooking into tool execution, registering custom AI-callable tools, and controlling session compaction behavior.
A practical walkthrough of a Qwen Code configuration — with bkit's PDCA workflow engine, Context7 for live docs, context-mode protection, and 26 shared skills spanning Vue, Go, Tailwind, Tavily, and more.
A deep dive into the current state of GitHub Spec Kit — the primary maintainer left for Anthropic, PRs are piling up, the community is frustrated, and alternatives are emerging. Here's what's really going on.
How Beads replaces flat issue lists with a dependency-aware graph database, giving AI coding agents persistent memory, multi-agent coordination, and zero-conflict task tracking.
A deep dive into bkit-gemini v2.0.0 — a Gemini CLI extension that adds 21 AI agents, 35 domain skills, and a 10-event hook system to enforce PDCA methodology and Context Engineering for AI-native software development.
Transform any user input into precision-crafted prompts using the 4-D Methodology for optimal AI performance across all platforms
A deep dive into GitNexus v1.4.10 — the graph-powered code intelligence tool for AI agents. Covers architecture, dependency analysis, Node.js version requirements, and a clean isolation setup using nvm.
A philosophy-first walkthrough of a power-user Opencode configuration — with Superpowers skill workflows at the core, supported by context protection, code intelligence, live docs, and vision.
An open-source autonomous agent with a built-in learning loop that creates skills from experience, improves them during use, and remembers across sessions. Unlike typical chatbots or coding copilots, Hermes runs on your server, integrates with messaging platforms, and gets smarter the longer you use it.
How Context Mode virtualizes MCP tool outputs to reduce context consumption by 99%, extending your Claude Code sessions from 30 minutes to 3 hours.
Learn a practical framework for writing better prompts when building apps with AI tools like Lovable, Cursor, and Bolt. Improve code quality and avoid bug loops.
The inside story of how Alibaba's most important AI team walked out in a single day, and what it means for the open-source community.
Explore how batch invariance issues cause non-determinism in large language models and the solutions to achieve reproducible results in AI systems.
An analysis of PewDiePie's controversial AI video, breaking down his takes on AI hardware, media generation, influencer culture, and the future of AGI from a developer's perspective.
Exploring Anthropic's analysis of MCP's token consumption issues and their proposed solution using agent skills for more efficient AI agents.
Explore TOON format's 30-60% token savings for LLM interactions and learn how to implement it with agentic coding workflows for optimized AI data processing.
A technical breakdown of Anthropic cutting off Trey’s Claude access: what happened, why it matters, and how data feedback loops, open-weight models, and geopolitics shape this fight.
An in-depth look at the key players in China's rapidly evolving AI landscape, from open-source champions to secretive tech giants.
Master BMAD Methods to decompose complex software projects into feasible, incremental development tasks. A comprehensive guide to effective project planning, prioritization, and execution.
Build a context-driven agent architecture that prevents context overload and improves AI development workflow efficiency
Discover how API providers can drastically affect open-weight model performance, from benchmarks to tool calling accuracy.
Discover five powerful Claude skills that are transforming AI-assisted development in Claude Code.
Discover how OpenSpec transforms software development by ensuring perfect alignment between humans and AI coding assistants before any code is written. A comprehensive guide to spec-driven development methodology.
Explore how GitHub Spec Kit revolutionizes software development by making specifications executable through AI-powered workflows. A comprehensive guide to specification-driven development with practical examples and implementation strategies.
Discover how to build sophisticated LLM applications using minimalist principles. A deep dive into PocketFlow's philosophy of simplicity over complexity in AI framework design.
Exploring the blurred lines between human and AI-generated music through the lens of parody and creative experimentation. Based on insights from a parody music creator's journey with AI tools.
Learn how to set up and use NVIDIA's revolutionary 3D generative AI blueprint that combines ComfyUI with Blender for creating stunning AI-textured 3D environments
Exploring the controversy around tracing in digital art, from the stigma against it to its potential as a learning tool and professional technique.
Learn how to go from zero knowledge to building functional features with any new technology using this proven framework. Based on real experience with the OpenAI Agent SDK.
Understanding the fundamental differences between fuzzy logic systems and neural networks, their histories, applications, and how they complement each other in modern AI systems
A comprehensive comparison of AI research priorities, government regulations, commercial applications, and training data strategies between the United States and China