Category: AI

  • Why Claude Haiku Is Outclassed: The Case for Hybrid AI Strategy

    Claude Haiku is the single biggest weakness in the Anthropic ecosystem now. Haiku is intended as a low cost, fast, and cheap model to do basic work – reading, summarization, web search, etc. And at the time of its release almost a year ago, it did those things reasonably well. But times change. Models change.…

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  • Almost Timely News: 🗞️ Advice I Would Give to a New PR Practitioner (2026-09-06)

    _Almost Timely News: 🗞️ Advice I Would Give to a New PR Practitioner (2026-09-06) :: 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 99% of this week’s newsletter was made by me, the human. You will see…

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  • Why Locally Run Open Weights AI Models Are More Trustworthy Than ChatGPT and Claude

    “Do we really trust Chinese models that much?”” Lisa asked that question in the Trust Insights Analytics for Marketers Slack group and the short answer is, “we really trust models under our control that much”, which means open weights models, models we download and run on our own hardware or in trusted inference providers. Here’s…

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  • Why Creators Should Automate AI Inputs, Not Outputs

    As a creator, thinker, or knowledge worker: Use AI to automate your outputs, and you’re likely to get weaker. Use AI to automate your inputs, and you’re likely to get stronger.

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  • You Ask, I Answer: Feeding Customer Feedback to LLMs Safely?

    Summary In today's episode, I walk through how to safely feed unstructured customer feedback like reviews and support tickets into language models to extract marketing insights without compromising data privacy. Here's what this means for you. You'll get a clear three-step approach that protects sensitive customer data while still letting you mine feedback for actionable…

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  • The AI Pay Cut: Why 10x Productivity Isn’t Raising Your Salary

    AI is a pay cut for you, the human. It’s tempting to take the easy route and talk about a stagnant job market, or tech companies using AI as a cover for large scale job cuts, but that’s not what I’m talking about here. A decade ago, Katie Robbert and I worked at a PR…

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  • You Ask, I Answer: Preventing AI as a Thinking Crutch?

    Summary In today's episode, I explore how to prevent junior employees from using AI as a crutch and losing their foundational critical thinking skills. Here's what this means for you. You learn that AI misuse in the workplace usually stems from culture and leadership messaging rather than from the technology itself. You'll also learn these…

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  • 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…

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  • You Ask, I Answer: Restructuring Hiring for AI Era?

    Summary In today's episode, I explore how to restructure your hiring practices now that AI easily passes entry-level practical tests and assessments. Here's what this means for you. You gain concrete interview techniques that catch candidates who rely on AI to bluff their way into roles. You'll also learn these concepts: how specific behavioral questions…

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  • 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…

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