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- AI Search Is Changing—Here’s What Creators Must Know
AI Search Is Changing—Here’s What Creators Must Know
Perplexity, OpenAI, and Google are reshaping how we find info.
Hey there! It’s Aaron.
AI is shaking up search, journalism, and, well… everything.

Perplexity is coming for Google’s throne, offering faster, AI-powered research, while the New York Times just pulled a plot twist, embracing AI after suing OpenAI.
Let’s break down what this means for creators and where AI is really heading.
📌TL;DR
AI search is evolving. Perplexity’s Deep Research is fast, free (ish), and could shake up Google’s dominance.
NYT’s AI hypocrisy? After suing OpenAI, they’re now using AI for editing and research.
Creators, take note. AI is rewriting the rules of content—adapt or get left behind.
More AI news…
Estimated reading time: 4 - 5 minutes.
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PURR-FECT CATCH
Google’s Monopoly is Cracking
AI-powered research is getting serious.

Source: Perplexity
Perplexity just dropped Deep Research, a tool that competes with Google Gemini and OpenAI, offering in-depth, citation-backed answers instead of generic chatbot responses.
Perplexity claims it’s faster, free (with limits), and better for quick research—while OpenAI’s version costs $200/month and takes up to 30 minutes per query.
In tests, Perplexity scored 21.1% on Humanity’s Last Exam, beating Gemini, Grok, and GPT-4o, but still lagging behind OpenAI’s 26.6%.
Why It Matters for Creators
Smarter Research for Content
Instead of sifting through endless Google links, AI-generated reports could speed up research.
Instant Summaries, But…
AI can’t replace human creativity, it pulls from what’s already out there, limiting unique insights.
The Google Problem
AI search skips over traditional search engines.
If tools like Perplexity improve, Google’s entire ad-driven model could be at risk… and that shifts how creators get discovered.
My Take:
AI search is evolving, but creators shouldn’t rely on it blindly.
Speed matters, but accuracy and originality still win.
If you’re using AI for research, fact-check everything and add your own spin.

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EXTRA TREAT
New York Times AI U-Turn
First, they sued. Now, they’re using it.

Source: Getty Images
The New York Times (NYT) has officially approved AI tools for its product and editorial teams… despite actively suing OpenAI and Microsoft for scraping its content.
In an internal email, NYT introduced Echo, an in-house AI tool designed to summarize news and briefings.
Journalists are now encouraged to use AI for:
Generating social media copy & SEO headlines
Brainstorming interview questions
Assisting with research & editing
But here’s the catch: AI can’t draft full articles or significantly rewrite content.
So while the NYT is using AI behind the scenes, it still wants humans in the driver’s seat (for now).
My Take:
The irony here is too good.
The same publications suing AI companies for using their work are now integrating AI into their own workflows.
And honestly? It makes sense.
This isn’t about whether AI should be used… it’s about who controls it.
The media industry isn’t rejecting AI; it’s figuring out how to own the narrative.
For creators, that means two things:
1️⃣ AI isn’t going anywhere. If even traditional media is adopting it, you can bet it’s becoming the norm.
2️⃣ Your originality matters more than ever. AI can handle the surface-level tasks, but your unique insights? That’s what will set you apart.
So, what’s next?
AI-powered newsrooms? AI-generated journalism awards?
Who knows.
But one thing’s for sure… this fight is far from over.

The Final Byte
Perplexity’s Deep Research and NYT’s AI U-turn highlight two sides of the same AI revolution.
On one hand, AI is reshaping how we find and process information—faster, smarter, and (sometimes) more reliable.
On the other, even the loudest AI critics are quietly adopting it, proving that resistance is futile… but control is everything.
For creators, the lesson is clear: AI isn’t just a tool, it’s a new playing field.
Google’s grip on search? Shaky.
Traditional media’s AI resistance? Crumbling.
The next wave of AI-powered workflows is here, whether we’re ready or not.
So the real question isn’t if AI will change the way we create… it’s how much control we’ll have over the process.
Embrace it. Question it. Own it.
See you in the next one,


BYTE-SIZED BUZZ
Here’s a quick roundup of what’s making waves in the AI world this week.
🐷 AI Can Now Read Animal Emotions?
Here’s a headline you don’t see every day:Scientists are training AI to recognize emotions in animals—like pain in horses with 88% accuracy.
Pigs and dogs are next in line, thanks to AI analyzing their facial expressions.
The Big Deal: If AI can understand pets better than we can, does that mean your dog’s side-eye is now officially justified? Also, this tech could revolutionize animal welfare and vet care.
🎨 Fiverr’s AI: Freelancers, Meet Your Digital Clones
Fiverr Go now lets gig workers train AI models on their work—for a fee.
This means clients can buy AI-generated versions of a freelancer’s style, while the freelancer keeps ownership rights.
The Big Deal: AI automation is creeping into freelance work, but Fiverr is at least letting creators monetize it instead of replacing them. Will that be enough to stop the AI backlash?
🎧 Spotify Doubles Down on AI Voices
Spotify is expanding its AI audiobook narration through a partnership with ElevenLabs, offering AI-generated voices in 29+ languages.
AI narrators will be clearly labeled, but human readers aren’t going anywhere… for now.
The Big Deal: AI is making audiobooks cheaper and more accessible, but are AI voices engaging enough to replace professional narrators?
🤖 Grok 3 vs GPT-4o: Musk’s AI Gets an Upgrade
Elon Musk’s AI, Grok 3, is now competing with GPT-4o, claiming better reasoning and math skills.
It also introduces DeepSearch, an AI-powered fact-checking feature.
The Big Deal: Musk frames Grok as the “truth-seeking AI,” but is it really a game-changer, or just another attempt to dethrone OpenAI?
🎮 Microsoft’s Muse: AI-Powered Game Dev is Here
Muse is Microsoft’s AI model that generates entire gameplay sequences using a single second of reference data.
Trained on 7+ years of Xbox gameplay, it can predict how a game unfolds and even generate interactive content.
The Big Deal: AI game development is becoming a reality. This could speed up game creation and bring new possibilities to world-building—but also raises concerns about automation in the gaming industry.
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