Continuous Learning_Startup & Investment – Telegram
Continuous Learning_Startup & Investment
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We journey together through the captivating realms of entrepreneurship, investment, life, and technology. This is my chronicle of exploration, where I capture and share the lessons that shape our world. Join us and let's never stop learning!
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the cost of sequencing a human genome was over $300 million in 2001. today, it's a $200.

expect similar cost reduction curves in AI over the next 20 years.
Witnessing this at MoMA in SF evoked a reflection on our existence within the vast cosmos. Our days might merely represent numerical values, akin to our society in the universal scheme. It underscored the fleeting and minuscule nature of our lives amidst time's vast continuum.
- 당근마켓이나 번개장터 등 리셀링 플랫폼이 폭발적으로 성장 중이지만 가장 큰 bottleneck은 판매자가 일일이 여러명과 채팅하고 logistics를 챙겨야 된다는건데, 이걸 AI로 해결할수도
1/ 🌐 Aggregator businesses are revolutionizing our digital experiences! From messenger aggregators decluttering notifications to various industries reaping the benefits, it's time to explore some insights on this disruptive trend! 🧠🚀 #AggregatorBusiness

2/ 🔗 In #crypto, aggregators like @1inchExchange are simplifying trading by consolidating multiple decentralized exchanges (DEX). This optimizes transactions and ensures the best rates for users. 💰🔀 #CryptoAggregator

3/ 🛍️ Retail is also transforming through aggregator models. @Diaso_official's one-stop-shop for daily goods streamlines shopping and enhances convenience. 🏪 #RetailAggregator

4/ 🤖 AI is revolutionizing internet businesses, including marketplaces & aggregators. Imagine AI-driven recruiters in job marketplaces, automatically matching talent to companies while guiding candidates to ideal opportunities. 🌟 #AIInBusiness

5/ 🐣 AI tackles the 'chicken and egg' problem, securing liquidity & offering 10x better service for users & suppliers. The cold start issue in marketplace businesses can now be overcome. 🔄 #MarketplaceSolutions

6/ 📈 Success factors for aggregator businesses:
Elevating user experience 🎯
Saving time & effort ⏱️
Providing better options & prices 💸
Streamlining processes for businesses 📊
Fostering innovation & competition 🔥

7/ 🌟 As AI paves the way for innovative business transformations, let's embrace the change and witness the power of technology in reshaping the world! 🌍🚀 #AIRevolution

https://www.linkedin.com/posts/activity-7056914864874680320-r86H?utm_source=share&utm_medium=member_desktop
https://www.theinformation.com/articles/why-so-many-streaming-services-are-struggling?utm_campaign=article_email&utm_content=article-11480&utm_medium=email&utm_source=sg&rc=ocojsj

Desperate to stem losses from streaming and pay down billions in debt, media companies including Warner Bros. Discovery are raising prices. That’s in part because they’ve been focused almost exclusively on their content libraries. Instead, they must rethink what consumers need in the streaming era.

That’s the lesson of Netflix and Hulu. Both benefit from a broad mix of licensed and original content, plus innovative user interfaces that help users discover TV shows and movies, in part through personalized recommendations.

A Tale of Two Moats
The disparity between Netflix and Hulu and the others reflects two different moats in streaming. The first is the storytelling expertise and libraries of studios such as Disney, Warner Bros., Universal Studios, Sony Pictures Entertainment and Lionsgate. Let’s call it “The Storytelling Moat.”

The second moat is the technological expertise behind the algorithms for personalized recommendations, the dynamic user interfaces and operational back-ends for content distribution over the internet. That is what Netflix, Hulu, Amazon Prime and YouTube offer consumers. Let’s call it “The Distribution Moat.”