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Jonathan Sher
d4dbd707f0a3811bd9bd8a3a5eb18d7597475fa456c9707e5ed96e434d997c71
Recent grad focused on AI, data systems, and crypto as infrastructure. Here to learn, build, and think in public. Data Science | AI Systems | IT | Crypto Infrastructure

Happy New Year to all! 2026 is my year!

Play the game: survival of the fittest 🎲

Share some of your favorite mental models below 👇

One of my favorites is to approach problem solving from first-principles.

Hot take: Bitcoin was digital gold.

Ethereum is digital energy for AI era.

Tom Lee’s BMNR positioning for exactly that – largest treasury.

Change my mind or zap agreement ⚡️

#BMNR #Ethereum #AI #Nostr

The scariest outcome isn’t failure.

It’s becoming highly competent at a life you never actually wanted.

That’s how decades disappear quietly.

This definitely lowers the friction from idea to implementation.

My only curiosity is where differentiation moves when everyone can ship quickly.

If the same tools generate the same patterns, a lot of apps may start to look and feel the same.

Speed goes up, but taste, constraints, and intent probably matter more than ever.

You can build a million dollar company with these tools.

Most people won’t, and it won’t be because of the tools.

Companies are built by owning something fundamental.

The system of record.

The workflow.

The customer’s moment of urgency.

Software comes and goes.

Models improve.

What lasts is intelligence woven so tightly into the system and workflow that removing it breaks the business.

That is what durable companies look like.

Most conversations about AI miss the real zero-to-one shift.

The breakthrough isn’t smarter models — it’s AI becoming invisible infrastructure.

When AI:

• disappears into workflows

• reduces steps instead of adding interfaces

• is constrained by real costs and failure modes

it stops being a product and starts being leverage.

I’m interested in building and learning in that direction.