🏈 AI in NFL Draft Picks: Futuristic Genius or Robotic Comedy Show?

Hey smart thinkers,

Pour yourself a fresh cup of coffee (or your favorite productivity potion) because this week’s AI news roundup is packed with stories and insights you won’t want to miss. Whether you’re charting the future of digital marketing, building your business, or just curious about where this whole AI rollercoaster is heading, you’re in the right place.

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🏈 NFL Draft + AI = 🤖🤷‍♂️

It sounded fun in theory, but when a major news outlet got AI to run a full mock draft for the 2025 NFL season…well, the results were more “robot comedy show” than “crystal ball.” Sure, AI is reshaping analysis in sports media, but it turns out there are some things even a powerful algorithm can’t predict (like draft-day hair faux pas).

Point is, AI is only as good as the data and the people guiding it. No algorithm replaces human expertise just yet.

Being Polite to ChatGPT? That’ll Be Millions, Thanks

Did anyone else grow up with parents drilling “please” and “thank you” into your head? Turns out, good manners carry a price. OpenAI’s CEO Sam Altman says all those polite prompts add up to tens of millions in server costs.

But here’s a twist from Microsoft’s design team: polite and detailed prompts don’t just cost more; they actually help AI respond better. It’s a reminder that you get back what you put in—with people and with machines. So mind your Ps&Qs!

🏃🤖Need for Speed… Now With Robots

Last week, Beijing’s Yizhuang half-marathon saw 21 humanoid robots lining up alongside humans. The winner, “Tiangong Ultra,” clocked in at over twice the men’s best human time—not exactly Jesse Owens, but not bad for a rookie made of wires and code.

Sure, most robots needed help steadying themselves, and some barely made it past the start line. Still, China’s open about the PR stunt being more for flash than function (for now). The real win? Pushing the boundaries of what’s possible and bringing sci-fi a little closer to daily life.

💻 Smarter Code, Smaller Models

MIT researchers have developed a new method to make AI-generated code more accurate and error-free across various programming languages. Instead of retraining large models, this architecture uses a probabilistic approach to guide even small LLMs toward valid, meaningful outputs—boosting accuracy and efficiency. Tested on tasks like Python, SQL, molecular biology, and robotics, the technique lets smaller open-source models outperform larger commercial ones. Beyond coding, it holds promise for helping non-technical users query databases or model data using just natural language.

10 AI SEO tips from Rob Cooper’s AI Smart Labs session

1. AI Search is Taking Over
   Expect 30–40% of search activity to shift to AI-powered engines (like ChatGPT, Perplexity, Claude) by year-end. Traditional SEO is no longer enough—AI Search Optimization (AISO) is now essential.
2. Quality > Signals
   AI ranks content by genuine quality, not keyword stuffing or backlinks. Unlike Google’s reliance on external signals, AI actually “reads” and evaluates your page’s informational value.
3. Smaller Sites Have a Shot
   AI democratizes visibility. Smaller, authoritative sites and niche creators now have a real chance to outrank big players—if their content is comprehensive and credible.
4. Your Website Still Matters—A Lot
   If your information isn’t accessible for AI to extract, you won’t show up at all. Websites must be optimized for information completeness and clarity, not just traffic.
5. Create Human-Centric Content
   AI favors real experts. Highlight content authors, link to their bios or LinkedIn profiles, and build trust signals around them to establish authority.
6. Use Structured Summaries
   Include clear, short summaries at the top of your pages or articles to help AI understand and index your content better.
7. Deep + Readable Content Wins
   Adopt a “short-to-deep” content approach—start with a concise summary and call-to-action, then layer deeper content to serve all audience types.
8. Revive Schema & Structured Data
   Schema markup helps AI understand and surface your content. While it lost favor in traditional SEO, it’s now critical for AI discoverability.
9. Leverage Evergreen & Granular Content
   Own your niche. Write granular evergreen pieces that become definitive sources (e.g., “AI tools for B2B insurance marketing”), and you’ll win consistent AI traffic.
10. Build Internal Linking & Topic Clusters
    Create strong pillar content with related posts interlinked and categorized. This clarifies your site’s structure for AI and boosts authority.

For the full article click here.

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• Pictory.ai –  Create and edit professional quality videos (for social media, blogs, and other marketing materials) using text in minutes.
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• Opus Clip – Chop up long form videos into short form content for social media.

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