The Story Behind Trump’s Latest Firings

Plus, how to Identify Key Themes and Topics in a Document with ChatGPT

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👩‍⚖️ The Story Behind Trump’s Latest Firings

Okay, so here’s the drama: Trump just fired Shira Perlmutter, the woman running the U.S. Copyright Office. 

Why does that matter? Because this move smells a lot like it has to do with AI, Elon Musk, and a whole bunch of copyrighted content.

Here’s the tea:

According to Rep. Joe Morelle, this wasn’t some random Friday-afternoon firing. It allegedly happened right after Perlmutter refused to sign off on Musk’s quiet little plan to train AI models on massive piles of copyrighted content.

Less than 24 hours later? She’s out. No warning. No explanation. Trump didn’t even try to make it subtle.

In fact, Morelle (a top Democrat in the House) called the whole thing “a brazen, unprecedented power grab with no legal basis.”

Translation: It’s shady, it’s bold, and honestly… It's very on-brand for Trump.

And the drama doesn’t stop there.

Trump also fired Carla Hayden, the Librarian of Congress—aka the person who appointed Perlmutter in the first place. So yeah, he’s clearing house like it’s episode one of The Apprentice.

Meanwhile, on his fave app, Truth Social, Trump didn’t exactly deny it. He “ReTruthed” a post about the firing that oddly criticized tech billionaires for trying to “steal creators’ copyrights”—even though this move kinda... helps them?

Confusing behavior, but again—very on brand.

So where does Elon Musk come in?

Well, the Copyright Office just dropped a spicy new report digging into AI and fair use.

And it basically says: Sure, fair use might apply when AI is doing research or analysis. But when AI companies use copyrighted material to churn out commercial content that competes with the original creators? Yeah... that’s pushing it.

Basically, the Office is saying: "AI companies, y’all might wanna start paying people." 

They even floated the idea of a “licensing market”—so instead of scraping the internet for free, AI companies would actually pay to access the content they train on.

Groundbreaking, right? Apparently, it ruffled some feathers.

And just to sprinkle in some extra chaos…Musk—who co-founded OpenAI and now runs xAI—has been lowkey supporting the idea of deleting IP laws altogether.

Seriously. He “liked” a post calling to get rid of all intellectual property. Because… that’s a totally normal thing to do, right?

So yeah, here’s where we’re at.

AI companies are being hit with lawsuits for copyright infringement, and just when the Copyright Office was finally setting some real boundaries the person leading the charge got booted.

Coincidence? Highly unlikely. Popcorn-worthy? Absolutely.

You can dig into this story here.

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💼 OpenAI’s AI Revolution: How They're Winning the Enterprise Game 

OpenAI is absolutely smashing it in the business AI game.

You might have already guessed this, but we thought we’d bring it to you in black and white with real data.

And if you haven’t been paying attention, now’s the time—because the numbers are astounding and they don’t lie. 

Here’s what’s going down:

  • According to Ramp’s AI Index, 32.4% of U.S. businesses were paying for OpenAI’s AI models, tools, and platforms by April. To put that in perspective: that’s up from 18.9% in January and 28% in March. Yikes!

But here’s the thing: Anthropic, Google, and other competitors are struggling. While OpenAI’s numbers are skyrocketing, the competition is… well, not keeping up.

  • Anthropic, for example, saw just 8% of businesses using their products in April (and that’s only up from 4.6% in January).

  • Google AI subscriptions, on the other hand, tanked from 2.3% in February to a measly 0.1% in April. Ouch.

Now, while Ramp’s AI Index isn’t a perfect snapshot, it’s a pretty solid indicator. It tracks data from around 30,000 companies, giving us a good look at how businesses are actually responding—or better yet, embracing AI.

And it’s clear: OpenAI is the go-to for AI-powered solutions in the enterprise space. That, if you ask me, is one of the main factors that makes a profitable AI venture.

And OpenAI isn’t just growing there—it’s exploding.

The company now has over 2 million business users—up from 1 million just last September.

And get this: they’re expecting $12.7 billion in revenue this year. Oh, and by 2026, they’re forecasting $29.4 billion. Yep, you read that right.

So, What’s Next for OpenAI?

Sure, OpenAI isn’t profitable yet (they’re not expecting to be cash-flow positive until 2029), but they’ve got plans to rack up the cash.

They’re looking at charging businesses thousands of dollars for specialized AI “agents” designed to assist with tasks like software engineering and research. That, folks, is where the big bucks will be coming from.

Bottom line: 

OpenAI is straight-up crushing it in the enterprise AI space.

If this keeps up, they’ll have a serious hold on the market in the next few years. And the rest of the AI world? They’ll probably be stuck just trying to keep up.

Want the full report? You can get it here.

🧱Around The AI Block

🤖 ChatGPT Prompt Of The Day: Spot Key Themes Within Documents

When you’re dealing with long or complex texts—reports, interviews, transcripts, or research papers—it can be tough to pull out what really matters. That’s where ChatGPT comes in.

With the right prompt, it can quickly scan the content, uncover the main themes, and help you focus on what’s important—saving time and giving you a clear foundation for deeper analysis, smarter decisions, or stronger content.

Here’s how to deploy this prompt effectively:

  1. Give context – Explain what you're trying to do with the document and why.

  2. Include the full text – The more complete the input, the better the output.

  3. Define What You Mean by "Themes" and "Topics"--Ask for broad themes (big ideas) and more specific topics (subcategories or recurring points) if you want both.

  4. Be specific about the format – Do you want bullet points? A table? Excerpts with commentary? Give an example or describe your ideal format clearly.

  5. Ask for Excerpts or Supporting Quotes: These make the analysis more concrete and easier to validate, especially if you’re summarizing for a team or report.

  6. Request a Thorough Pass– Remind ChatGPT to cover all significant themes, not just the obvious or most repeated ones.

Here’s the prompt:

You are an expert analyst. I am [insert your context—e.g., preparing a research report, trying to make sense of a long memo, etc.].

Please examine the provided document and identify the primary themes and topics discussed.
For each one, include:

– A brief explanation of the theme or topic
– One or two relevant excerpts from the document that illustrate it
– Ensure the analysis is comprehensive and clearly organized

I would like the output in the form of [e.g., a bulleted list with headings, a table format, or grouped summaries].

Here’s a sneak peak:

Upgrade now to see the complete prompt video. And vote this for your Workout of the Week!

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