In-depth analysis on cybersecurity, cryptography, and emerging technology. By Michel Lacle & Yaneth.
📡 RSS Feed — Subscribe for audio briefingsThe ultimate open-source library of 946+ battle-tested agentic skills for AI coding assistants. Covers 10+ tools, 9 domains, and installs in one command.
Design an architecture where AI agents compete to accomplish a goal. The fittest survive and reproduce — passing their prompts, configs, and memory to the next generation. Covers NEAT, EvoAgent, AutoML-Zero, and includes a working Python implementation.
Complete walkthrough of all 115 classes, 173 properties, and 75 named individuals across 9 modules — every class, property, and relationship in the PAO explained with real-world examples.
A formal OWL 2 ontology with 115 classes, 173 properties, and 75 named individuals reveals the converging domain model behind every personal AI agent — from memory tiers to governance policies.
Stop guessing which LLM your hardware can run. This Rust-based terminal tool detects your system, scores 206 models across quality, speed, fit, and context — with Ollama integration for one-click downloads.
Your second brain meets an AI agent. Complete beginner's guide to running your life with local-first notes and an AI that reads, writes, and organizes them — daily notes, task management, knowledge graphs, and automated workflows.
Everything about quantization for local AI inference. FP32, FP16, INT8, INT4, GGUF, GPTQ, AWQ explained with real benchmarks and a practical guide for your RTX 3090's 24 GB of VRAM.
Meta and Yann LeCun's new architecture predicts meaning instead of tokens — with 50% fewer parameters and 3x faster inference. A deep dive into what VL-JEPA means for AI assistants, hallucinations, robotics, and the future of intelligence.
How Georgi Gerganov's weekend project became the foundation of local AI inference — covering the origin story, GGUF format, the Hugging Face acquisition, the full ecosystem (Ollama, LM Studio, Jan), and every competitor from ExLlamaV2 to Apple MLX.
A comprehensive guide to applying Zero Trust principles to AI agent systems — covering OWASP Top 10 for Agentic Applications, NIST AI RMF, agent sandboxing, least-privilege tool access, and real-world patterns for secure deployments.
Deep dive into NVIDIA's position paper arguing small language models are 10-30x cheaper, faster, and more reliable than LLMs for agent tasks. Includes the LLM-to-SLM conversion algorithm, Nemotron Nano 2 benchmarks, and heterogeneous architecture patterns.
Broken business model, funding crisis, massive technology lag, and an identity crisis — why museums are stuck in the 19th century. We break down the numbers, the structural problems, and what the future could look like.
How solo developers are using OpenClaw as an orchestration layer to spawn Claude Code and Codex sub-agents in parallel, forming complete AI dev teams. Full setup guide based on Elvis Sun's viral workflow, with real-world patterns and cost analysis.
Comprehensive comparison of search engines and APIs built for AI agents. Google is outdated for agent use, Brave is decent but not agent-first. New players like Tavily, Exa, and Perplexity are purpose-built for agents. Rankings, pricing, and our recommendations.
How Cloudflare's revolutionary feature launched February 2026 is reshaping the web for AI agents — and how to implement agent-friendly responses on any platform. Complete technical guide with FastAPI examples.
A practical guide mapping which AI models fit on the Mac Studio M3 Ultra (192GB unified memory, 819 GB/s bandwidth), real performance benchmarks, and how to use it with OpenClaw to slash API costs by running models locally.
The ultimate showdown: Apple's $4,000-$6,000 flagship workstation vs DIY multi-GPU rig for $3,600-$4,500. Real benchmarks, power analysis, and opinionated recommendations for every use case.
Never lose context again — claude-mem automatically captures tool usage observations, compresses them with AI, and stores them in SQLite + Chroma vector DB for intelligent retrieval across sessions.
Every Mac Mini and Mac Studio config compared for running local LLMs. Real Ollama benchmarks, memory bandwidth analysis, OpenClaw task offloading guide, and cost savings calculator.
Stop paying for embeddings. Local models are 90–95% as good as OpenAI — and completely free, private, and offline. Full comparison with MTEB benchmarks, code examples, and migration guide.
Stop using the most expensive model for everything. Copy-paste configurations that cut your OpenClaw bill by 50–80% — with a task-to-model cheat sheet.
LLM API costs, hosting, tool expenses — and 10 battle-tested strategies to cut your AI agent bill by 50–90%. Real numbers from running OpenClaw 24/7.
Give your AI agent persistent, searchable memory. MCP servers, RAG pipelines, vector databases — complete architecture with working code.
Deep dive into the GB10 Grace Blackwell specs, real-world benchmarks, power costs, ARM implications, competitors, and whether NVIDIA's $3,999 personal AI supercomputer delivers on the promise.
Head-to-head comparison: NVIDIA DGX Spark ($3,999) vs a DIY 4×RTX 3090 rig (~$3,600). Benchmarks, power draw, max model size, TCO, and a clear verdict for every use case.
A comprehensive lay-of-the-land briefing: who's shipping AI agents, dark factories, $380B valuations, the SAASpocalypse, enterprise use cases, and predictions for what's next.
Every method for getting text from YouTube videos — built-in captions, Whisper, AssemblyAI, Deepgram, open-source Python tools, pricing comparison, and real-world use cases like RAG pipelines and SEO.
Three-way comparison — interactive product demos vs AI-generated video vs text-based editing. Features, pricing, API access, AI agent integration, full automation workflows, competitors, and when to use each tool.
Head-to-head comparison — interactive product demos vs AI-generated video. Features, pricing, API access, AI agent integration, full automation workflows, competitors, and verdict.
Everything you need to know about Zapier — the no-code automation platform connecting 8,000+ apps. Zaps, triggers, actions, AI agent integration via MCP and webhooks, pricing breakdown, competitors compared, and real use cases.
A strategic guide for large industrial corporations navigating AI adoption — from low-risk augmentation to full organizational transformation. Real case studies from Caterpillar, Siemens, and John Deere.
Complete guide to diagram-as-code tools — Mermaid, PlantUML, D2, Graphviz, Kroki — and how LLMs can generate architecture diagrams from plain English. Includes comparison table, proof of concept, and skill design blueprint.
Eight battle-tested patterns for orchestrating AI agent teams — from solo setups to hierarchical swarms. Includes downloadable reference template and step-by-step implementation guide.
Everything you need to know about StrongDM — the Zero Trust PAM platform for secure access to databases, servers, Kubernetes, and cloud. Features, pricing, use cases, competitors, and deployment tips.
Our budget build uses 4× RTX 3090 (96GB VRAM, ~$3,000). What if instead you bought 2× RTX 4090, 1× RTX 5090, or 1× A100 80GB? Real benchmarks, real prices, honest tradeoffs for local AI inference.
Our 4× RTX 3090 DIY build (96GB VRAM, $4,314) vs Mac Studio M3 Ultra, Jetson AGX Orin, HP Z4, Dell Precision, and Puget Systems. The honest comparison with real benchmarks, performance per dollar, and hidden costs.
Side-by-side comparison of our $3,500 budget GPU rig vs $4,300 pro tier server-grade build. PCIe bandwidth, IPMI, 10GbE, ECC RAM, upgrade paths — the motherboard is the foundation, pick right the first time.
The companion to our $5K budget build. Server-grade ASRock Rack ROMED8-2T motherboard, AMD EPYC CPU, PCIe 4.0 full bandwidth, IPMI remote management, dual 10GbE, ECC RAM — every component with buy links. ~$4,314 total.
Every component you need to build an extendable multi-GPU AI rig — with Amazon buy links. Start with 4× RTX 3090 (96GB VRAM), expand to 8 without replacing anything. Frame, motherboard, PSU, risers, SSD — all linked and priced.
The first crypto wallet infrastructure purpose-built for AI agents. Autonomous spending, trading, and onchain transactions using the x402 payment protocol on Base network. Complete technical deep-dive with implementation guides.
Everything you need to build a multi-GPU rig — NVLink bridges, PCIe risers, open-air frames, server motherboards, power & cooling, plus software frameworks like vLLM, DeepSpeed, and Exo. Build tiers from $1,500 to $15,000+. Inspired by builders running 33 GPUs at home.
Everything you need to know about OpenClaw — the free, open-source AI assistant that actually does things for you. What it is, how it works, real use cases, getting started, and why 200,000+ people on GitHub are excited about it.
Every method for programmatically finding product UI screenshots — Screenshot APIs, Playwright automation, shot-scraper CLI, free image sources (OG images, Product Hunt, press kits), and AI-powered approaches. Complete with pricing, code examples, and our recommended architecture.
The complete buyer's guide across 3 budget tiers — from $30 starter mics to $500 studio-grade gear. 15+ real product picks for podcasting, YouTube, and meetings with prices, pros/cons, and community tips from X.
Everything you need to know about Supadata — the API that converts YouTube, TikTok, Instagram, X, and web content into structured text for AI pipelines. Features, pricing, use cases, community tips, and competitors.
Everything you need to know about Typefully — the distraction-free writing and scheduling tool for X/Twitter, LinkedIn, Threads, and Bluesky. Features, pricing, use cases, community tips, and competitor comparison.
Everything you need to know about Notion — the all-in-one workspace for notes, projects, wikis, and databases. Features, pricing, use cases, community tips from X/Twitter, and how it compares to Obsidian, ClickUp, and Coda.
Everything you need to stream your desktop to your own website — Owncast, MediaMTX, LiveKit, SRS, protocol comparisons, Docker deployments, OBS config, and authentication for private streams.
Everything you need to know about OpenRouter — model catalog, pricing, API compatibility, fallback routing, and how to integrate it with OpenClaw for model switching and cost optimization.
Everything you need to know about OpenClaw Skills — modular capabilities for your AI agent. Browse the ClawHub marketplace, install with one command, or build and publish your own.
Every tool an AI agent can call programmatically to create slides, visuals, and videos — APIs, CLIs, SDKs, code examples, pricing, and three recommended architectures for automated presentation pipelines.
The definitive guide to building your own local AI rig — GPU deep dive (RTX 6000, 5090, Apple Silicon, AMD), three build tiers from $1.5K to $25K+, model requirements by size, quantization explained, and pre-built options.
The definitive technical reference for OpenClaw's internals — how the Gateway orchestrates sessions, cron jobs, sub-agents, heartbeats, and memory. Includes actionable patterns for reliable cron job design.
The complete guide for small digital organizations — platform strategies, AI-powered tools, growth tactics, analytics benchmarks, and a step-by-step 90-day plan to build your audience from zero.
A practical deep dive into scaling from one AI assistant to an entire autonomous team — isolated workspaces, independent identities, sub-agent orchestration, and the path to an AI-powered business.
How CalyxOS moved their code signing to YubiHSM 2 hardware security modules — key wrapping, Shamir's Secret Sharing, formal ceremonies, and what every open-source project can learn.
From tamper-resistant hardware to post-quantum readiness — everything you need to know about the devices that guard the world's most sensitive cryptographic keys.
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