DefiQueen

This year, I execute- brutally 🤝
Happy new year my loves , We Are All Gonna Make it 📍🍷

So far 2025 taught me..?

I saw a guy comment somewhere that a thousand dollar can change his life
So I’m a bit curious. . .
If I give you $1000 today, how will you use it to better your life?
I’d really love to know
You never know, I might just be interested

“Opportunity presents itself to those who want it the most”
What’s your fav quote or quote for the week?
Gm to everyone that says it back!

Gm to my 29 Active Tweeps !
Say it back 🍷

I was reading a piece last night and a question popped up in my head…
Who really owns an AI model?
It’s not really the first time I’ve had this thought, but then that question has always been tricky.
I guess we’re already used to traditional AI systems that are built around control
➠ Closed Weights 
➠ Hidden Data
➠ Centralized Ownership 
But lately, projects like @SentientAGI have made me rethink that whole idea.
They’re not just building smarter or open models, they’re also building models that can prove where they came from, who trained them, and how they evolved…
without being trapped behin

We really trust Ai to do a lot of things, like:
➠ Summarizing reports
➠ Analyzing data
➠ Suggesting decisions
But sometimes we wonder, how exactly do we trust that we’re being told the truth!
That’s exactly what @SentientAGI is solving with Verifiable Compute,  a tech layer built in collaboration with @PhalaNetwork and @LitProtocol.
Here’s the simple idea 👇
 When AI gives you an output (a summary, result, or prediction),
 you can verify where it came from…
the data, the process, the logic
all on-chain.
 Meaning, you don’t just get the result but also proof of how it was made.
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