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Well y’all, this is awkward. OpenAI and Elon Musk are currently in a messy legal divorce, but their AI tools apparently didn't get the memo.
So remember back in October when Elon launched Grokipedia? He claimed it would "exceed Wikipedia by several orders of magnitude." Well, fast forward to today, and ChatGPT—the star child of the company Elon is literally suing, is now pulling its "facts" from Grokipedia.
Here’s the tea: The Guardian ran some vibe checks on GPT-5.2 and caught it citing Grokipedia nine times across a dozen questions. We’re talking heavy topics like Iranian politics and British history.
The problem? Grokipedia is… let's say, creative with the truth. It’s been roasted by fact-checkers for:
Copy-pasting: It’s basically Wikipedia with 96% of the content but 0% of the citations.
Source-ish: It literally cites Instagram Reels as "academic sources." (We wish we were joking).
The Big Yikes: It’s been caught spreading HIV/AIDS conspiracies, botching basic facts, using offensive language for transgender people, and somehow, serving up “ideological justifications” for slavery.
And it's not just ChatGPT doing this. Anthropic’s Claude was also caught using Grokipedia to answer questions about Scottish beer and oil production. Basically, the smartest bots on the planet are getting their info from the digital equivalent of a "Trust me, bro" Reddit thread.
And OpenAI’s response: They told The Guardian they "aim to draw from a broad range of publicly available sources." Translation: "If it’s on the internet, it's fair game.
So yeah, we're officially living in a timeline where the world's most "advanced" AI is learning from an encyclopedia that even Elon's own AI (which recently flooded X with 1.8M sexualised images) would probably find questionable.
What could possibly go wrong?
Here's what we have for you today
🚀 The Explosive Rise of Chinese Open-Source AI
Alright guys, remember last week when Anthropic CEO Dario Amodei went full "Final Boss" at Davos? He didn't just express concern. He literally compared the US selling AI chips to China to "selling nuclear weapons to North Korea."
Naturally, we had to check the receipts. Is Dario just being a drama king, or are Chinese AI firms actually eating Silicon Valley’s lunch while we’re all distracted by the latest Sora clips?
Spoiler alert: It’s the second one. And the data is actually kind of terrifying.
Check this out:
For one, Chinese open-source models controlled a tiny 1.2% of global usage in late 2024. Fast forward to 2025 and they’ve skyrocketed to nearly 30%.
A massive report from OpenRouter and a16z (who looked at 100 trillion tokens of data) shows that Alibaba’s Qwen and DeepSeek’s V3 are now competing head-to-head with OpenAI.
Even the big dogs are jumping ship. Airbnb CEO Brian Chesky publicly ditched ChatGPT for Alibaba’s Qwen because it’s "very good, fast and cheap."
And here’s the craziest part of the story: China is doing this while the US is actively trying to starve them of hardware. Despite the restrictions on Nvidia’s top-tier H100s, Chinese labs are getting "MacGyver-level" creative.
How? According to reports, they use "Mixture of Experts" techniques to squeeze every drop of power out of weaker, export-grade chips. When DeepSeek-R1 dropped in January, it matched OpenAI’s o1 model on benchmarks for a fraction of the cost, and was so impressive it caused Nvidia to lose the most single-day stock value in US history. Even Marc Andreessen called it one of the most amazing breakthroughs he’s ever seen.
So what’s fueling their growth?
While Google and OpenAI keep their models behind a "paywall of secrecy," China releases everything as open source, prices it dirt cheap, then get massive adoption.
Right now on Hugging Face, four of the top ten trending models are either Chinese or built on Chinese foundations. Zhipu AI just IPO’d in Hong Kong and had to cap subscriptions on their GLM-4.7 coding model because demand was too high. The wild part? Their user base isn't just in China: it’s primarily the US, followed by India, and Japan. So yes, American devs are officially using Chinese AI to do real work.
So... Was Dario Right?
Here's the thing: China's AI surge happened DESPITE chip restrictions. Now imagine what happens if they get unrestricted access to Nvidia's H200 chips (which Trump just approved for sale).
As of now, the tech world is split into two very loud camps:
For Team Cautious (Dario): Advanced AI is a digital nuke, and selling chips to rivals is a national security suicide mission.
For Team Business (Jensen Huang): If we don't sell to them, they'll build their own chips faster making the US risk losing both money and influence.
The Big Picture: Google DeepMind’s Demis Hassabis says China is approximately "six months behind." But looking at the leaderboard, that gap is closing in real-time. Whether Dario’s comparison is over-the-top or dead-on depends on one thing: Your view.
So do you think AI is just a cool tech product, or the foundation of global power for the next century?
If it’s the former, selling chips is just good business. If it’s the latter… then yeah, maybe don’t hand the tools to your biggest geopolitical rival.
Either way, China is doing more with less, moving faster, and giving it away for free.
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🧱 Around The AI Block
🗣️ What the world’s richest tech CEOs says about AI.
🤵 How to turn your own face into a viral meme (new Google Photos feature).
🖌️ Microsoft Paint is officially cool again thanks to AI coloring books.
🤳 Zuck hits the pause button on teen chatting with AI Characters ahead of a major glow-up.
🧑⚖️ New bipartisan bill aims to give creators a way to find out if their work was "donated" to AI training.
🙅♀️ Science fiction writers and comic-con take definitive stand against artificial creativity.
🛠️ Trending Tools
For the Smart Shoppers: Gensmo is a visual AI shopper. Upload a screenshot or link, and it immediately hunts down "cheaper dupes" and better deals across the web, making "balling on a budget" an automated process.
For the Hobbyist Musicians:Suno lets you create full, radio-quality songs (lyrics, vocals, and instruments) just by describing a vibe, eg: "90s grunge song about a mouse that loves lasagna"? It’ll generate a hit in 30 seconds. Perfect for personalized birthday songs or just a creative break
For the Language Learners: CoffeeCat AI uses "Nano Banana" (a high-speed visual/audio model) to act as a live conversation partner. It watches your pronunciation and provides real-time feedback through a natural voice chat, making it feel like you're grabbing coffee with a local.
For the Digital Organizers: Mem0 gives your AI a "long-term memory." It’s a layer that helps your personal AI agents remember your preferences, past projects, and specific ways you like things done across different apps, so you never have to repeat yourself twice.
Hope these tools help you reclaim some of your time today!
🤖 AI Workout Of The Day: How to Hack Your Style in 2026
Imagine if you could snap your fingers and your 2 AM notebook doodles turned into professional photos on actual models. Sounds like a scene from a Disney movie, right? Well, that is basically the reality of fashion in 2026. Except instead of magic wands, designers are using AI.
The fashion world is going through its biggest glow-up since the invention of the sewing machine. And the numbers? They are absolutely spicy. The AI fashion market was sitting at about $2.92 billion in 2025, but it is currently on a rocket ship headed for $89 billion by 2035. We are witnessing a 40% annual growth rate, which is the industry equivalent of going from a local lemonade stand to a global conglomerate in record time.
Here’s how AI is helping:
The Sketch-to-Runway (In seconds) Pipeline: Tools like FASHN, NewArc.ai, and Fashion Diffusion are the MVPs here. You upload a rough sketch and the AI generates a studio-quality photo of that outfit on a model of your choice. Small brand owners are obsessed because it lets them create professional lookbooks without the $10,000 price tag of a traditional shoot.
Virtual Fit-Checks: Ever hit "buy" and hoped for the best? Those days are over. Giants like Zalando and Google have perfected virtual try-on tech. You upload a selfie and the AI maps the garment to your body, accurately showing how silk flows versus how denim stays stiff. Reports show this tech is already boosting conversion rates by 25% because people finally know if that dress will actually fit.
Predict What's Going to Be Cool Before It's Cool: This is where things get scarily smart. Zara, H&M, and G-Star Raw are using AI to scan millions of TikToks, Instagram posts, and celebrity "Outfits of the Day." They use Natural Language Processing (NLP) to "listen" to what people are saying about minimalist styles or "boho-chic" and then design collections to match in real-time. Zara can literally get a trend from a social media post to a store shelf in just seven days.
Other Heavy-Duty Tools:
CLO 3D & Style3D AI: These aren't just for "pretty pictures." They simulate the physics of fabric. Want to see how a heavy wool coat moves in the wind? These tools show you perfectly, cutting the need for physical samples by 70% to 90%.
FashionINSTA: This is the new kid on the block that focuses on "Pattern Intelligence." While other tools just make a cool image, this one converts your sketch into a production-ready sewing pattern in about 10 minutes.
Heuritech: This is basically a "Shazam for Fashion" that predicts trends with 90% accuracy.
Here's how it works in practice: A designer can sketch a jacket in the morning, use AI to create 20 different versions by lunchtime (changing colors, fabrics, patterns), then test which ones people like best by the afternoon—all without making a single physical sample.
Why this is a win for the planet: Let’s be real, the fashion industry has a massive waste problem. But AI is helping fix it. By using virtual prototypes, brands are slashing the amount of fabric that ends up in the trash. Plus, better trend prediction means companies aren't overproducing millions of neon-green shirts that nobody wants.
The Catch: It is not all sunshine and sequins. There is a learning curve for older brands, and some designers worry about "technical soul." But the consensus for 2026 is clear: AI isn't replacing the designer. It is just giving the artist a much faster brush.
The Bottom Line: Whether you’re a global CEO, a teenager with a sewing machine, or a shopper trying not to regret their purchase, the barrier to entry has never been lower.
💡 Quick Tip of the Day:
AI doesn’t “guess realism”, you force it by naming physics, photography, and materials. Tell the AI what the image started as, what it should become, and what reality rules to follow.
Here’s a Prompt you can try:
For Use when you have a hand-drawn or digital sketch:
Convert this fashion/design sketch into a highly realistic, photorealistic image. Preserve the original design proportions, silhouettes, and details.
-Style: ultra-realistic studio photography
-Materials: realistic fabric texture with natural folds and shadows
-Lighting: soft professional lighting, high dynamic range
-Camera: 85mm lens, shallow depth of field
-Quality: high resolution, sharp focus, true-to-life colors
Do not stylize. Do not cartoonize. Make it look like a real product photo.
For a model image or yourself:
Place the clothing from the reference image onto the person in this photo. Ensure realistic fit, fabric drape, and body proportions.
Maintain natural skin texture, realistic lighting, and correct shadows. The clothing should follow the body’s posture and movement naturally.
-Style: photorealistic fashion photography
-Lighting: natural daylight
-No distortion, no exaggerated body features, no unrealistic smoothingIs this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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