Category: Artificial Intelligence

  • Open Weights AI vs Big Tech: Why Western Giants Are Pushing for Bans

    Western #AI companies: “Protect us from Chinese AI companies!” Also Western AI companies: “NO you can’t use our models for cybersecurity” Hugging Face ended up using Z.ai GLM-5.2 to defend itself from OpenAI rogue models: https://huggingface.co/blog/security-incident-july-2026 Whenever you hear a Western politician talking about banning/regulating open weights models, it’s because a broligarch has his hands…

    Continue reading →

  • Stop Silent AI Failures: Tell Your Model What Wins to Resolve Conflicting Instructions

    Tell AI what wins. One of the things that will degrade AI performance the most – and silently – is conflicting instructions where the AI has to determine what you mean. If you look at the reasoning traces (internal chat) when you give conflicting instructions, you’ll see AI models literally chasing their tails. It looks…

    Continue reading →

  • Almost Timely News: 🗞️ What Would A Purely AI-Generated Newsletter Look Like? (2026-08-30)

    _Almost Timely News: 🗞️ What Would A Purely AI-Generated Newsletter Look Like? (2026-08-30) :: View in Browser_ The Big Plug ✍️ Enroll in my new course, AI for Writers and learn how to make AI write better. Content Authenticity Statement 100% of this week’s newsletter was made by me, the human, BUT you will see…

    Continue reading →

  • P2P: The Idle-Period Advantage

    Disclosure: 100% of this document is AI-generated, made by GLM-5.3-Flash on DeepInfra using the OpenCode harness. The silent stretch where your customers go dark Somewhere in your CRM right now sits a customer who bought from you almost a year ago. They opened everything you sent them for the first few weeks after the purchase.…

    Continue reading →

  • How AI Text Watermarking Actually Works and Why Original Writing Always Wins

    Here’s how AI watermarking in text works, generally speaking. This holds true for Google’s SynthID as well as other systems like Anthropic’s announced system. Every time AI generates a word (or token), it calculates probabilities for what word should come next. The MOST probable terms are usually what AI picks from. (hence why bad prompts…

    Continue reading →

  • Ditch the Detectors: The One Question That Exposes AI Slop

    “Without pulling up the document, tell me what’s in it.” That one sentence tells you in seconds whether or not something is AI slop. You don’t need an AI detector. You don’t need fancy software. You don’t need to burn more tokens or waste more resources. Whether you’re a supervisor, a parent, a teacher, or…

    Continue reading →

  • The AI Advantage Is Dead: What Builds a Real Competitive Moat Today?

    “when everyone’s super… no one will be!” – Syndrome, the Incredibles When everyone has access to state of the art models, your AI is no longer any kind of advantage, and depending on you or your team’s level of skill, might even be a disadvantage. So, if AI isn’t an advantage any more, then what…

    Continue reading →

  • DeepSeek v4 Flash vs. Claude Sonnet 5: Why Paying 17.8x More for AI Is a Mistake

    This one hastily made slide explains pre-IPO jitters better than anything else when it comes to AI. DeepSeek released its v4 Flash model earlier this year, on April 24. At its release, it was widely regarded as pretty smart and stupid cheap for its size. For a lot of folks using agentic AI, its pay…

    Continue reading →

  • Blatant Sales Pitch: AI for Writers Course

    Let’s examine this pile of AI slop, generated by ChatGPT: If you’re a writer, you’ve probably noticed something changing fast: AI isn’t replacing the need for great writing. It’s changing how great writers work. The opportunity isn’t to hand your writing over to AI and hope for the best. It’s to learn how to use…

    Continue reading →

  • How Fifth-Generation AI Masters Time Budgeting for Smarter Workflows

    Fifth generation AI models understand time. I discovered this morning, working in Claude Code with Sonnet 5, that it can have an awareness of time and work to a time budget. Previous generations of models lacked this awareness; it seems like models that are aligned strongly for agentic AI can do this. Here’s how it…

    Continue reading →