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Philipp Zentner | LI.FI
Philipp Zentner | LI.FI kirjasi uudelleen
We all know @arjunbhuptani for his work in interop, but he’s also someone who’s been paying close attention to AI.
I wanted to understand how someone who thinks so clearly about systems and incentives is thinking about AI: its impact on society, on crypto, on the way we live, and maybe even on the idea of being human.
I learned a lot from this one. My takeaways:
1. Your competition isn’t AI, it’s AI-augemented humans. TLDR: don’t be lazy and play with the AI tools.
2. Crypto isn’t just for speculation, it might just be the ultimate safety layer to ensure AI is used for good things:
> blockchains can create fundamentally uncheatable rules
> zero-knowledge proofs can verify truth
> decentralized systems can prevent a single entity from controlling the most powerful technology ever created
3. With AI, intelligence is now abundant and perhaps a commodity.
Leg into things that make you a better human: taste, intuition, charisma, empathy, and genuine creativity. You can’t prompt those into existence.
4. There’s no “playbook” for life or a set linear path to progress.
The “go to school, get a degree, climb a career ladder” model is out, the “first principles thinking, ability to learn, and figuring out how to solve problems” mental model is the only way to build leverage in life.
I hope you enjoy the episode.
Key timestamps:
00:00 – AI: Excitement vs. Fear
02:38 – AI's Impact on Jobs and Society
08:36 – What Makes Someone Intelligent in an AI World?
11:11 – Human's Defense Against AI: Taste, Intuition & Empathy
14:00 – Using AI as a Tool to Enhance Productivity
17:00 – The Future of Work: Leaner Teams?
23:30 – Education and Learning in the Age of AI
29:07 – How to Navigate Life with AI: Advice for the Young
32:42 – AI's Impact on Financial Markets & Money Games
37:51 – AI x Crypto: Opportunities and Challenges
47:23 – How Crypto Can Help AI Succeed
01:01:30 – Why People in Crypto Should Spend Less Time on Twitter
8,75K
Philipp Zentner | LI.FI kirjasi uudelleen
Everclear has secured a strategic investment from the NEAR Foundation to scale Crosschain Clearing for Digital Assets.
Capital has been deployed via equity, $CLEAR acquisition, and an operational loan.
Here's what the @NEARProtocol and Everclear partnership unlocks! ↓
91,45K
Philipp Zentner | LI.FI kirjasi uudelleen
Why Most Solvers Aren't Profitable ft. @alexmattm @nad_roid 🎙️
@arjunnchand sits down with Nadiem and Alex from @sprinter_ux to break down their research on solvers — who’s actually winning and why.
If you’ve been trying to understand why most of the solvers can’t make money, this one is for you.
Key timestamps from the episode:
0:00 – Intro & What Is Sprinter
4:08 – Solvers with Capital Access Decide Who Wins
9:18 – Inventory Management Is Still the Hardest Part
13:53 – Why Crowdsourced Liquidity Hasn’t Worked
20:07 – The Same Few Solvers Dominate Volume
23:37 – Solver Sustainability & Rethinking Competition Models
32:47 – Stargate and Across Begin Solving for Capital Efficiency
38:54 – Resource Locks & Long-Term UX
7,03K
Just built a 9 months (strong) and 18 months (loose) product roadmap.
And 18 months (strong) and 36 months (loose) execution strategy.
I feel those are reasonable timeframes to give your team perspective and clarity on why and how you do what.
As the market constantly changes and the team keeps on growing, alignment becomes a much harder task.
2,6K
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