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Everyone keeps talking about slowing AI down.
Zuckerberg seems to have missed that memo. 👀 Meta is still pushing deeper into AI, betting that now is the time to move faster, not hit pause.
And when one of the biggest players in AI refuses to slow down, it’s worth paying attention to what happens next.
Here's what else happened in AI while you were busy.
Zuck Refuses to Slow AI
AI Found Hidden Clues in 400K Reddit Posts
Find Your Brand’s GEO Blind Spot
Claim Up to $5,000 in AWS Credits
The AI That Could Improve AI
Meta Is Putting AI Agents on WhatsApp
Meet Gemini 3.8 Live
Create Viral-Style 3D Videos With AI
"The tools and technologies we've developed are really the first few drops of water in the vast ocean of what AI can do."
— Fei-Fei Li
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
🚨 Find Your Brand’s GEO Blind Spot

Otterly.AI: Start by adding your brand and 5–10 questions your customers might ask before choosing a product or service. Let it track how often your brand appears in AI search results.
Perplexity: Now take the questions where competitors appear but your brand doesn't. Search them in Perplexity and check which brands and websites it mentions or cites.
Google AI Mode: Run those same questions through Google AI Mode. Compare the results and look for sources that keep showing up across the answers.
The payoff: You’ll quickly see where your brand is visible in AI search, which competitors keep getting mentioned, and where you have a GEO visibility gap worth working on.
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The AI stocks most people aren’t looking at yet

AI does not run on headlines.
It runs on data centers.
And data centers need a lot more than chips:
Power, cooling, advanced manufacturing, networking, electrical equipment, nuclear energy, and digital infrastructure.
That is where the more interesting investor story begins.
We put together a free StockEarnings briefing that breaks down 9 public companies tied to the data-center buildout.
Inside, you will see why the AI boom may create opportunities far beyond the usual names everyone is already talking about.
The report walks through:
• The companies positioned across the data-center value chain
• Which businesses may have stronger competitive moats
• where growth catalysts could come from
• What risks investors should watch before putting capital to work
The important part is this:
AI infrastructure is becoming a real-world buildout.
That means physical assets matter.
Electricity matters.
Cooling matters.
Networking matters.
Manufacturing capacity matters.
And the companies supplying those bottlenecks may become harder for investors to ignore.
The briefing is free right now, and I’d start with the 9-stock breakdown here.
The market usually rewards investors who understand the infrastructure before the story becomes obvious.
That is the edge this report is designed to give you.
Here is the free copy.
🆕 AI’s Latest Drops
Researchers have introduced a new approach that helps AI systems understand and reason through complex information more effectively. The work points to another step toward models that don't just generate answers, but better understand the context behind them.
While other AI leaders are calling for a slowdown, Mark Zuckerberg is pushing in the opposite direction. Meta is continuing to invest heavily in AI, arguing that the race is too important to simply put on pause.
Meta is making it easier for businesses to set up AI agents on WhatsApp. The idea is to let companies handle customer conversations and routine tasks with AI without needing a complicated setup.
Google has introduced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, bringing real-time voice conversations together with deeper reasoning and tool use.
Researchers at Penn used AI to analyze more than 400,000 Reddit posts from people discussing GLP-1 drugs like Ozempic and Mounjaro.
The AI picked up patterns in patient reports, including symptoms like menstrual changes, chills, and hot flashes that aren't always captured in traditional drug reports.
These aren't proof that the drugs caused the symptoms, but they give researchers new signals to investigate. And that’s the interesting part. AI just turned hundreds of thousands of everyday conversations into a source of research clues. 👀
Scroll Break

Want to make those 3D storytelling videos without learning complicated editing?
This workflow takes you from one idea to a finished video using AI tools. Start by creating a strong video idea and script, then turn each scene into visuals and animation. Add the voiceover, background music, and bring everything together in the final edit.
You’ll see how ChatGPT, Google Flow, ElevenLabs, Pixabay, and CapCut fit together, with each step feeding into the next. You can go from a simple idea to a complete 3D storytelling video without building every scene from scratch. 👀
Thank you for reading!
We hope these AI insights help you start the week strong. Don’t forget to share what you’ve learned with friends, family, and colleagues. 📚✨
For more AI updates, follow us on X, LinkedIn, and YouTube.
See you soon!
— Team AIChief


