
Welcome Automaters!
MIT might’ve just taken us one step closer to a real-life Star Trek replicator — and I’m not even exaggerating.
Researchers there built a system that literally lets you speak objects into existence. Like… you say, “I want a simple stool,” and a robotic arm goes, “Bet,” and starts building it on the spot using modular components.
Here’s how wild this gets: The system chains together speech recognition, a large language model, 3D generative AI, and a voxel-based assembly planner — all so the robot can hear you, imagine the object, break it into modular pieces, and physically snap it together in under five minutes.
And yes, they’ve already made stools, shelves, chairs, tables, even a tiny dog statue.
The whole point? Anyone — not just engineers — can design physical stuff just by talking. The system basically nukes the barrier to manufacturing for anyone who doesn’t know 3D modeling or robotic programming.
And unlike 3D printing, which can take hours or days, this thing builds objects in minutes. Actual minutes.
And MIT’s not done. They’re already eyeing stronger structures, multi-robot teamwork, gesture controls and AR integrations …basically all the ingredients for a world where reality is editable.
Big picture? This is one of those “the future just arrived early” moments. If we can talk objects into existence today… imagine what we’ll be doing five years from now.
Seriously — go look this up. It’ll blow your mind away.
Here's what we have for you today
📊 AI Chatbot Market 2025: ChatGPT vs Gemini Performance Analysis

Okay y’all… the AI chatbot race just took a wild turn — and nobody’s talking about how big this actually is. But we will.
So here’s the quick, no-nonsense breakdown of what’s happening right now between ChatGPT and Google’s Gemini… because the numbers are kinda insane.
First up: ChatGPT is slowing down.
Not collapsing, not dying — nothing dramatic. But after two years of ridiculous growth, the chart is finally flattening. Sensor Tower says that from August to November, ChatGPT only grew 6% in monthly active users. For an app that used to sprint, this is basically walking.
The awkward part? Engagement time is down 10%.
And downloads? Well it’s growing way slower than the rest of the market. Now it’s still huge… but slowing.
Meanwhile, on the other side of the arena, Gemini is full-on sprinting. Like… outpacing-everyone sprinting, we’re talking.
Monthly active users up 30% in the same period
Daily time spent up 120%
Downloads exploding nearly 190% YoY
And the funniest part? A lot of this hype comes from one model drop — Nano Banana, Google’s new image generator that people absolutely will not stop playing with.
And if you think this is just a two-player fight… you’re wrong.
Perplexity and Claude are flying too, with nearly triple-digit growth:
Perplexity is up 370% YoY
Claude is up 190% YoY
They're basically eating up market share and making the whole space way more chaotic than it was last year.
In short: For the first time ever, the chatbot market actually feels like… well, a market with real competition, real movement, and real chaos.
Here’s why:
Gemini increased its share of global monthly active users by 3 percentage points over seven months
ChatGPT’s share dropped 3 points in just four months
Perplexity hit the highest download growth at 215% YoY
The overall cohort grew to 110%, outpacing ChatGPT’s 85%
So what’s OpenAI doing?
They’ve issued a quiet-but-not-quiet-at-all “code red.”
Sam Altman basically told the team to double down and beef things up in areas like:
Personalization
Reliability (less hallucination)
Image generation
Rolling out new stuff to stay ahead
Which… honestly makes sense, because Gemini’s biggest advantage isn’t just features — it’s distribution.
Deep Android integration means millions of people use Gemini without ever downloading the app. You see, that's a cheat code ChatGPT simply doesn’t have.
So what does all this actually mean?
We’re watching the first real inflection point in the chatbot era.
ChatGPT’s still the king with its huge lead, massive brand, massive usage — but Gemini just proved the crown isn’t glued on. And if OpenAI drops something major again… the whole race reshuffles.
In other words: this isn’t the end of anything. This is the moment where things finally get interesting.
And if you were wondering what 2026 might look like… well, we have a clue.
PS: We asked our AI about the possibility of OpenAI hitting 1 billion users after feeding it enough data. Guess what it said?
Well… you’ll have to check for yourself — it’s mind-blowingly interesting!
You can find out more here.
What do Tom Brady, Alex Hormozi, and Jay Shetty all have in common?
They have a newsletter (like the one you’re reading) because:
Social posts reach 10% of your audience while 40-50% of emails get opened
You only have to write 2-4x per month to book calls and launch products
Creators and founders are getting a 35:1 return selling with email
We’re hosting a free workshop on December 10th to help you launch a newsletter that immediately begins generating revenue.
You’ll learn how to select a niche, grow your list, and convert readers into customers.
🧱 Around The AI Block
🤑 Meta acquires AI-wearables startup Limitless.
🏡 Elementary school students use AI to combat homelessness.
🤝 Meta strikes multiple AI deals with news publishers.
👥 The far right is mobilizing against Trump AI czar David Sacks.
💬 OpenAI says it’s turned off app suggestions that look like ads.
👩⚖️ The New York Times sues Perplexity for producing ‘verbatim’ copies of its work.
👮 Waymo’s robotaxis are under investigation for passing stopped school buses.
🛠️ Trending Tools
Consensus: Is an LLM-powered search engine that extracts answers directly from scientific research.
Podcastle: Empowers creators to produce professional-quality podcasts effortlessly.
Neural Frames: Is an AI animation generator that creates trippy videos with frame-by-frame image animation.
Omnifact: Is a privacy-first generative AI platform that enables teams to harness the potential of Generative AI while maintaining data sovereignty.
Napkin AI: Turns your text into visuals so sharing your ideas is quick and effective.
🤖 AI Workout Of The Day: How ChatGPT, Gemini, and DeepSeek Simplify Quantum Computing for Kids
Quantum computing is confusing enough for adults—so how do you explain it to a 10-year-old?
We put ChatGPT, Gemini, and DeepSeek to the test to see which AI can take a mind-bending topic and make it simple, fun, and actually understandable. If you want an AI that can break down complexity without losing accuracy, this showdown shows who’s up to the challenge.
How to Make This Prompt Work Effectively
Define the Audience: Specify the age or knowledge level (here, a 10-year-old) to keep things simple.
Encourage Analogies: Ask for relatable examples to make abstract ideas concrete.
Limit Technical Jargon: Complex terms should be avoided or explained simply.
Keep It Concise: Word limits force the AI to focus on clarity.
Compare Across Models: Check for accuracy, simplicity, creativity, and engagement in the explanation.
PS: The live side-by-side comparison of ChatGPT, Gemini, and DeepSeek is exclusive to premium subscribers. If you want in on this AI showdown, now’s the time to upgrade.
⚡ Prompts to try:
“Explain quantum computing in the simplest way possible, as if you were teaching a 10-year-old. Use analogies and examples that a child can relate to, Avoid technical jargon, complex equations, or advanced terminology. Keep your explanation under 100 words, focusing on the core ideas and why it’s interesting or important. Make it engaging, fun and easy to visualize, so someone with no prior knowledge can grasp the basics.”P.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.
Also…
Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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