Lucia Gambuzzi

Physical AI might seem like a new trend, but at Kiwibot - it's been our last 7y. So, why dedicating ourselves to AI + Robotics in the golden era of Software? we made this choice because we know that AI is gonna change human experience through physical, capital led productivity. Manual work is for machines! We've been stubborn, and right, to think that added productivity only decreases the cost of final goods and services; whether these are food, retail, chip wafers, ADA compliance data and even advertisement. Robotics will continue democratizing quality of life; it's no longer a farfetched bet. It's our reality. And so, count on us for more innovation and more socially conscious AI + Robotic initiatives, announced soon. More than code, we're writing the future. ⚡️

152

5 commenti

AI just delivered a wake-up call to the $350B news industry. What happened at an Italian newspaper will transform journalism forever. Il Foglio took a $250k gamble on AI journalism - writing 4 pages of daily content with attitude and wit. The results shocked everyone. The AI exposed political hypocrisy, tackled complex economic reforms, and engaged with readers through witty responses. This forced every major publisher to respond. Bloomberg launched AI financial insights while AP now automates 3,000 reports monthly. The Independent committed $10M to AI initiatives. Meanwhile, traditional media bleeds: 2,700 journalism jobs vanished last year. 2.5 local papers close weekly. Ad revenue plummeted 67%. By 2025, expect news that adapts to your expertise level and explains topics in your industry's language. It will connect patterns across stories, translate instantly into 95 languages, and create personalized audio for your commute. But there's a critical detail everyone missed. AI can't read body language in interviews, build trust with sources, or sense tension in a room. It can't replace human judgment. The winners won't replace journalists. They'll augment human capabilities. After investing $50M in AI infrastructure, I uncovered the real challenge: Modern AI requires massive computing power - 10,000+ GPU clusters, petabytes of training data, and military-grade orchestration. The problem is stark: 40% of training runs crash, millions burn in wasted compute, and progress stalls for weeks. We solved this with technology that auto-recovers from crashes, deploys spare GPUs instantly, and maintains 24/7 operations. Our clients now see 60% lower training costs, 85% less downtime, and 3x faster deployment. The future isn't about replacing humans. It's about building AI that actually works. Follow for more insights on AI infrastructure and the future of media. Like and share if you learned something new.

30

Here's what I've learned building digital products at Fcode Labs and others that actually keep users coming back. The first 5 minutes of your app experience is very important. When was the last time you gave an app a second chance after a confusing first experience? This is what actually works: • Make onboarding interactive, not just a slideshow. Let users learn by doing, not just reading. • Personalize the experience. A tech-savvy developer needs different guidance than someone who's less comfortable with technology. The most overlooked part is the Analytics. Specially when you are in early stage. You need solid analytics to see exactly where users drop off. Are they stuck on the signup? Confused by the dashboard? Without data, you're just guessing. Recently, we saw a reduction of 40% users dropping in Linkify just by redesigning onboarding flow based on actual user behavior patterns. Onboarding isn't just about teaching features. It's about showing value quickly. Users need to think "This solves my problem" within minutes, not days. What apps or platforms do you think have the best first-time experience? #ProductDevelopment #UserExperience #Analytics

82

Money is the best A/B test: Those who have managed advertising budgets of over 100 million have a completely different perception of growth. AI also needs similar ‘tuition fees of hundreds of millions of tokens’ - without extensive hands-on experience with large volumes of tokens, discussions about architecture and product design often lack key insights.

62

7 commenti

Our thesis on AI is clear: Without blockchain, AI simply can't reach its full potential. The immense value AI promises depends entirely on transparency, predictability, and clear ownership of data and technology. That’s precisely why we’re building @SuiNetwork as an essential, neutral coordination layer. Together with integrated solutions like Walrus, Seal, and Nautilus, we're creating the trusted infrastructure businesses need to confidently invest in AI-driven innovation. I will say it again: Blockchain isn't just complementary to AI; it's fundamental to enabling it.

76

2 commenti

The transition from Startup to Scaleup up is one of the riskiest phases.⁣ ⁣ Here’s why:⁣ ⁣ - 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐯𝐬 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧⁣ As we scale, it’s tempting to focus solely on what works. But when execution takes over, we lose the ability to experiment and innovate.⁣   ⁣ - 𝐋𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐦𝐢𝐧𝐝𝐬𝐞𝐭⁣ Growth slows when we stop acting like a Startup. Big teams and rigid processes often kill the flexibility we need to adapt.⁣   ⁣ - 𝐖𝐞 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐟𝐢𝐠𝐡𝐭 𝐚𝐠𝐚𝐢𝐧𝐬𝐭 𝐭𝐡𝐞 𝐰𝐢𝐥𝐥 𝐨𝐟 𝐨𝐮𝐫 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫s⁣ Our investors will pressure to execute 𝘢𝘴 𝘪𝘧 we know what works, when mainly we do not.⁣   ⁣ Managing this balance is critical to maintaining growth and staying adaptable as we scale. -- 👋 I’m Andrew Crump founder of Unkillable-Startup Science I post daily at 9:30am GMT about the secrets behind the best Startups. The magic I learned as as an Investor, Founder and by helping 1000’s of them grow 🪩. Follow me for more!

47

26 commenti