Last updated: 2026-06-09
Original articles about artificial intelligence — deep dives, tool comparisons, industry analysis, beginner guides, and what it all means for everyday people.
Announcements are not deliveries. Which humanoid robots have gone to paying customers this year, which are still pre-production despite the coverage, and the four questions worth asking before believing a launch date.
Read the full article →Profound, Otterly.AI, Peec AI and Scrunch AI all track how AI assistants describe your brand. What they can measure, what they cannot, and why the source list matters more than the visibility score.
Read more →Illinois now requires independent audits of frontier models, Colorado wrote a law specifically for chatbots, and California made provenance disclosure enforceable. What each one asks for, and who it applies to.
Read more →A plain-English guide to three AI assistants that do real work for you — what they cost, what they can do, and how a non-techie can start today.
Read more →A raw walk through AI safety researcher Roman Yampolsky's argument: if humanity builds artificial superintelligence, we may not stay in control — and our survival becomes optional. The ant problem, the control problem, the arms-race excuse, and why narrow AI may be the safer path.
Read more →The server side of the Model Context Protocol explained without jargon — hosts, clients, servers, what one actually does, and how to run your first one.
Read more →The best AI tools for finance in 2026 across trading, banking, accounting, tax, insurance and personal finance — what each does, and how to choose safely.
Read more →The humanoid and quadruped robots you can actually buy in 2026, with real prices and specs — from the US$1,600 Unitree Go2 to Boston Dynamics Spot and Tesla Optimus.
Read more →LangChain, LlamaIndex and LangGraph solve different problems. A plain-English comparison of what each LLM framework does best, and which to pick in 2026.
Read more →How Google Brain, Andrew Dai, Quoc Le, transformers, pre-training and the AI talent diaspora helped create modern AI — and why visual reasoning may define the next phase.
Read more →A transparent, caveat-first comparison for long-horizon coding agents. Opus 4.8 leads narrowly on the shared harness, but GLM-5.2's openness and far lower price change the buying decision.
Read more →On-device AI and IoT privacy explained: what really stays local, what slips out via metadata and firmware updates, and how to verify the claim against the actual data flow.
Read more →Eight free, open-source GitHub projects worth installing in 2026 — context compression, trending search, local document intelligence, browser control, and more.
Read more →soul.md, the /goal command, background scheduling, model switching, and GitHub backup — everything a non-technical Hermes user needs to know.
Read more →Never touched a terminal? Use an AI assistant to walk you through the install step by step — no prior experience needed.
Read more →VPS vs local machine, Docker containers, what email permissions to grant (and which to withhold), API key safety, and when a cloud server is actually the wrong choice. A practical guide for users who are not IT professionals.
Read more →Hermes is open-source, MiniMax M3 costs $0.60 per million input tokens, and together they handle research, code generation, and multi-step automation. Full install guide and pricing breakdown.
Read more →The seven new MAI models grabbed the headlines, but Microsoft's bigger move was an end-to-end stack for enterprises to build, sandbox, govern and pay for their own agent fleets. How the pieces fit, and why it's a strategy not a product launch.
Read more →A new arXiv paper wants to give language models several parallel streams of attention — one for listening, one for thinking, one for replying — instead of forcing them through a single queue. What multi-stream LLMs could mean for the AI you already use, and what almost certainly will not change.
Read more →Marc had let the rat race eat him alive. He didn’t want a coach, a retreat or a paid programme. He set Claude up as his life project manager — eight markdown files, daily edits, one Saturday morning to aim at. A reader’s letter on what came back when he stopped working harder.
Read more →AI agents drift when the work is vague. Ralph Loops give them a frame: task, files, check, repeat. A plain-English guide for non-technical professionals who want to use AI agents safely at work — five questions, a worked example, and how to pitch it without sounding like an AI guru.
Read more →Context rot is the slow corruption of an AI agent’s working memory. Old decisions, failed attempts and tool noise degrade performance long before the context window fills. Why the harness is the product, and how serious teams keep their agents sharp across long runs.
Read more →The 2026 AI Index report runs to 423 pages, full of charts about geopolitics and policy. Cut through the government talk: here is what the numbers really say about your job, your kids' homework, the scams in your inbox, your healthcare, and why ordinary people stay far more sceptical than the experts building this.
Read more →Liu, Zhao, Shang and Shen reverse-engineered Claude Code from its public TypeScript build. Five values, thirteen principles, and the design decisions shaping every agent harness now being built.
Read more →Production code is piling up that passes tests but nobody can explain end to end. What dark code is, why it spreads, why observability and testing do not fix it, and what actually keeps systems legible.
Read more →Compact AI models are starting to ship inside smart home hubs and wearables. We look at the real products, the new chips, and the open-source stacks that work today — and what is still a slide deck.
Read more →Fake Claude Code install pages spread through sponsored search results are replacing the real install command with malware. Here is the safe path in and the real alternatives.
Read more →Rows, Grist, GPT for Work, Numerous.ai, Excel Copilot, and Gemini in Sheets — compared on real CSV cleaning: dates, duplicates, encoding, and inconsistent categories.
Read more →Install Ollama and AnythingLLM on any Windows PC for private, offline document Q&A — no cloud, no subscriptions, no coding. For business owners and non-technical users.
Read more →Production guide for IT teams: GPU-accelerated LocalAI with Docker, LocalRecall semantic RAG, LocalAGI autonomous agents, and drop-in OpenAI API compatibility on Windows and Linux.
Read more →Three open-source voice cloning tools you can run entirely on your own hardware — no cloud, no API keys, no subscriptions. Quality, speed, and hardware requirements compared.
Read more →Stop manual redlining. AI PDF comparison tools flag clause changes, summarise liability shifts, and cite sources — here's the practical workflow for contracts, reports, and policy docs.
Read more →Connect Claude Code to your GitHub repos via MCP. Covers local vs remote setup, fine-grained token permissions, read-only mode, and common errors.
Read more →Let Claude Code query your database — safely. A step-by-step walkthrough of read-only PostgreSQL access via MCP, with security-first defaults.
Read more →Run AI-powered code review entirely on your own machine — no cloud, no API costs, no data leaving your laptop. Setup guide and model picks.
Read more →Three tools, three philosophies. Cursor gives control, Windsurf handles context for you, Claude Code lives in your terminal. How to choose.
Read more →MCP servers are how your AI reaches into the real world — files, databases, the web, your workspace. Here are the ones worth knowing about.
Read more →Three SaaS categories face real pressure from AI agents. Five don't. The savings are real in specific cases — but hidden complexity taxes eat gains.
Read more →The management layer isn't disappearing — it's changing shape. Admin busywork is automated upward. Strategy, coaching, coordination remain human.
Read more →Model Context Protocol just passed 97 million installs — but most people have never heard of it. A plain-English explainer of the standard powering AI.
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