Good morning, In a few minutes, here's what you'll learn today.
Today we'll explore Tripo 3.0, an AI tool that turns any text or image into 3D models in seconds. Plus, we'll cover Microsoft's massive AI infrastructure deal, a major drug discovery breakthrough, smart computing chips, and new regulations reshaping how companies handle AI.
In Today's Edition
Today’s AI Tool Breakdown: Tripo 3.0
Quick overview
Tripo 3.0 turns any text prompt or image into production-ready 3D models in under 10 seconds. The AI now creates sharper geometry, cleaner meshes, and realistic textures that actually work in real projects. Think of it like having a 3D artist who never sleeps.
How to use it
Sign up for free at tripo3d.ai (800 credits to start with invite code)
Click Create and choose Text-to-3D or Image-to-3D
Type your prompt (like "wooden chair") or upload a photo
Select Standard mode for speed or Ultra for max detail
Pick Quad topology for animation or Triangle for games
Hit Generate and wait 10-60 seconds for your model
Copy/paste starter script
"Create a futuristic sports car with metallic finish" or "Generate a wooden coffee table with modern design" — simple prompts work best.
Real-world use cases
Game developers making assets without hiring 3D artists
Product designers visualizing concepts before manufacturing
Content creators building 3D scenes for videos
Educators making interactive learning materials
Pro tips
Use specific materials in prompts ("leather chair," "glass bottle")
Try the magic brush tool to edit textures after generation
Export directly to popular formats like USD, FBX, or STL
Free vs paid
Free: 300 credits (about 30 models) plus 500 bonus with referral code
Paid: Starts around $20/month for 2,000+ credits and advanced features
Alternatives
Meshy — simpler interface but fewer customization options
Kaedim — better for turning 2D art into 3D but slower
Luma AI — good for photogrammetry but requires multiple photos
Quick demo video
https://www.youtube.com/watch?v=sEqcEUuTUIg
Today In AI News, The Top 4 Stories (And Why They Matter)
This matters because: Microsoft is betting big on securing GPU computing power as AI demand explodes, showing how expensive it's getting to build AI systems.
Quick summary: Microsoft signed a massive 5-year deal with Nebius (spun out from Russian tech giant Yandex) to get dedicated AI computing resources from a new data center in New Jersey. The deal could expand to $19.4 billion if Microsoft wants more capacity. Like renting a giant digital brain farm.
This matters because: Big pharma is sharing billion-dollar AI tools with smaller companies, which could speed up finding new medicines for everyone.
Quick summary: Lilly launched TuneLab, giving biotech firms access to AI models trained on $1+ billion worth of drug research data. Small companies get enterprise-level AI capabilities in exchange for contributing their own data back to improve the system. Think shared Uber for drug discovery.
This matters because: AI systems eat massive amounts of electricity, but this breakthrough could make them way more energy-efficient without losing accuracy.
Quick summary: University of Florida researchers built a chip that uses laser light through tiny lenses to do AI calculations instead of traditional electrical processing. It classified handwritten digits with 98% accuracy while using almost zero energy for core operations. Like switching from gas cars to solar panels.
This matters because: California is creating the first clear rules about how companies can use AI to hire, fire, or promote people without breaking discrimination laws.
Quick summary: New regulations require California employers using AI for hiring decisions to follow anti-discrimination rules and keep detailed records for four years. Companies can't use AI systems that unfairly impact people based on race, gender, age, or disability. Like putting guardrails on robot recruiters.
Thats All For Today!
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