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This Week’s Insights
🎨 How Gisela Stefanetti Uses Leonardo.Ai
Meet Gisela Stefanetti, the founder of GS Prints and a pro-level fashion designer who’s reshaping how creativity meets technology. Using Leonardo.Ai, Gisela has streamlined her process in ways that might make you go, “Wait, why didn’t I think of this?”
Leonardo.Ai’s intuitive tools help her brainstorm new concepts, create detailed mockups, and even whip up niche fashion sketches ready for 3D production. From edgy rocker vibes to sleek activewear trends, Gisela now pitches her ideas faster and with insane precision—her clients LOVE it.
But wait, there’s more. Beyond sketching, she’s using Leonardo for graphics, website mockups, and even mood boards. Her secret sauce? Merging her design expertise with a little AI magic to keep things fresh, fast, and efficient. She’s urging other designers to give it a try—and honestly, why not?
🍭 VR Lollipops!?
Ever wished you could taste cherry, grapefruit, or even green tea—without taking a single bite? Scientists at City University of Hong Kong have created something straight out of a sci-fi movie—a VR lollipop. This gadget uses flavor science and virtual reality, delivering nine unique tastes via flavored hydrogels and electrical currents (no chewing necessary).
Okay, here’s why this isn’t just a weird novelty. Imagine using this for virtual grocery shopping (taste-test before you buy!), medical diagnostics for taste disorders, or even teaching kids about flavors in an interactive way. While the tech isn’t perfect yet (it lasts around an hour for now), it’s a peek into how VR could shake up how we experience the world—through all senses.
Kind of makes you wonder…what flavor would you try first? I’d want to try cherry🍒🍋🍵
🚗🤖 Uber – Not Just Rides
Uber’s shifting gears in a big way. With their new division, Scaled Solutions, they’re using gig workers to drive forward in AI annotation and data labeling. Translation? They’re helping both themselves and other companies, like Aurora Innovation (self-driving cars) and Niantic (gaming), create better, smarter AI systems.
They’re tapping talent globally—from the U.S. to India—to meet demand for high-quality data. It’s their way of turning gig-economy expertise into a tool for shaping the next wave of AI tech. Uber’s clearly not just about rides anymore—they’re making moves in the AI space. Can you think of how you can leverage your data for a larger purpose?
🩺 AI vs. Doctors in Diagnosing Illness
A recent study pitted ChatGPT against actual doctors, and the AI walked away with serious bragging rights. When diagnosing medical conditions based on patient histories, ChatGPT hit 90% accuracy all on its own. Human doctors? They clocked in at 74% using traditional methods (or up to 76% when combining their skills with the AI).
The takeaway? It’s not about robots replacing doctors—it’s about doctors learning to work with AI as a super-smart “assistant.” Second opinions? Tackling tricky cases? AI is proving it can lend a solid helping hand. I’d much rather see a doctor that embraces AI with that kind of accuracy!
And full disclosure, I have put medical test results into AI for a friend, as the doctor appointment was 6 weeks away – AI gave me exactly the info that the doctor gave them and it was much faster. If the issue requires immediate attention and took 6 weeks to diagnose, the old way is going to create much more liability now that we have a better way.
Craft Compelling Brand/Personal Voices to Make Your Outputs Better
Key Takeaways:
- Developing a robust brand/personal voice description is crucial for ensuring AI-generated content aligns with your desired tone and style. This involves incorporating elements like specific adjectives, references to famous brands/people, and prohibited words/phrases.
- Tools like Jasper allow you to create custom voice profiles that can be applied across various content outputs (emails, proposals, marketing materials, etc.) to maintain brand consistency.
- Analyzing your own speech patterns through methods like Zoom transcripts can provide a good starting point for defining your personal voice.
- Iterating on the voice description, testing it, and refining it over time is key to developing an authentic, multi-dimensional voice description that gives you consistent AI outputs that sound like “you”.
The key is to invest the time upfront to craft a detailed voice profile that can then be leveraged throughout all of your AI-powered content creation efforts.
Tools We Used This Week 🧰
PromeAI – Transform sketches into realistic photos and high-quality videos.
Pictory.ai – Create and edit professional quality videos (for social media, blogs, and other marketing materials) using text in minutes.
EchoJockey – AI tool to find, pitch, and get booked on podcasts. Use code AISMART30 to get +30% more pitches per month!
Join the Conversation 🔊
This isn’t just about sending newsletters into the void—we’re building a lively hub here. If you’ve got insights itching for daylight, questions that stump the wise, or ideas that buzz louder than a caffeinated bee, send them flying to info@aismartventures.com. Your contributions are the fuel for our content engine, driving us to enlighten and inspire.
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