Entries by Robert Tarman

Can AI Go Mainstream by 2035? Risks from Chips & Conflict

Most of you don’t know this, but my other hobby is geopolitics. And lately, I’ve been seeing a major blind spot in the AI conversation. Everywhere you look, people are betting on AI: OpenAI, Google, Meta, governments, investors — all working off the same assumption: That AI’s rise is inevitable. But what if it isn’t? […]

The AI Slop Age Is Ending. Here’s Why That’s a Good Thing

The End of AI Slop Age: Efficiency Will Replace Waste in Generative AI The early days of generative AI felt like a wild experiment. Free or flat‑rate plans let anyone churn out endless content, chatbots, or code. But behind the scenes companies like Anthropic and OpenAI have been burning through cloud credits and investor capital […]

How to Choose an AI Recruiter That’s Legal | EverlightAI

What to Look for in an AI Recruiter | Compliance, Fairness & Transparency | EverlightAI AI recruiters are rapidly becoming a key part of modern hiring workflows. They save time, reduce manual screening, and promise more objective decisions. But not all AI recruiters are created equal — and choosing the wrong one can expose your […]

Why Do LLMs Respond to Tips, Em Dashes, and Imperfect Data?

Why Do LLMs Respond to Tips, Em Dashes, and Imperfect Data? Understanding the strange, statistical mind of large language models If you’ve spent any time prompting a large language model (LLM), you’ve probably seen weird things happen. You give the model a subtle tip — “this is important,” or “I’ll give you a reward” — […]

Mapping the AI Compliance Landscape: A Global Guide to Staying Legal and Ethical

As AI tools rapidly integrate into everyday business, one truth is becoming clear: compliance isn’t optional—it’s global. From California to Singapore, governments and standards bodies are racing to define how artificial intelligence should be built, used, and governed. But navigating this patchwork of laws, regulations, and ethical frameworks can be overwhelming. To make it easier, […]

The Prompt as a Confession

🪞The Prompt as a Confession How AI conversations reveal more about us than we realize When people first began using AI tools like ChatGPT, most assumed they were using a kind of upgraded search engine—a utility that followed commands, offered information, and maybe wrote a poem or two. But something more intimate has happened. In […]

AI Recruitment Compliance Checklist (U.S. 2025 Guide)

An AI-powered application recruiter… especially one used for hiring, screening, or engaging with candidates… must comply with several U.S.-based legal, ethical, and data protection standards. Here’s a comprehensive list of key regulations and frameworks such a tool may need to follow: 🇺🇸 U.S.-Based Compliance Requirements for AI Recruitment Applications 🔐 1. Data Privacy & Security […]

⚠️ Key Data Risks When Using GPT Agents

With all the hype around new GPT agents, it’s easy to get excited — and you should be! But as these AI tools get more powerful (and personal), it’s just as important to make sure you’re staying safe with your data. Whether you’re chatting with a custom assistant or building one yourself, here’s what you […]

5 Ways Small Businesses Can Use AI Without Breaking the Bank

  Artificial intelligence often sounds like something only big corporations can afford. Giant data centers, complex algorithms, million-dollar budgets. Right? Not anymore. Today, AI tools are accessible and affordable, even for small businesses. From marketing to customer service, you can automate routine work, analyze data faster, and serve your customers better without blowing your budget. […]

Is Your AI Hiring Tool Helping You—or Hurting You? 5 Questions to Ask Vendors Before You Buy

In 2018, news broke that Amazon had quietly scrapped an experimental AI recruiting tool. Why? Because it learned to downgrade resumes that included the word “women’s,” like “women’s chess club captain,” and even penalized graduates of women’s colleges. Instead of helping build a diverse workforce, the tool encoded and amplified past hiring biases. Amazon’s misstep […]