Shally 💅💲
17.8K posts

Shally 💅💲
@shalom_web3
☆ nft and crypto ☆ sassy 💅 bougie ratchet 🫦
Katılım Mayıs 2023
1.5K Takip Edilen1.4K Takipçiler
Shally 💅💲 retweetledi

A concern I've had for a long time is becoming increasingly true.
It's getting harder and harder for new entrants to build an initial portfolio in crypto.
The wealth-generation opportunities from past cycles, the ones that set me up on my crypto journey and did the same for many successful people I know today, are becoming much rarer.
For me, it started with NFTs, then InfoFi. But we also had SocialFi, memecoins, DeFi, airdrops, and ICOs.
Tons of opportunities to make good money, even if you had an empty wallet.
Now we're seeing institutional adoption, but there are hardly any accessible ways for newcomers to build their initial portfolio in crypto anymore.
We are becoming more gated and hence less attractive for new entrants
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Shally 💅💲 retweetledi

Working on quite a couple of stuff this week
» new videos ofc
» trying out a new product feature (still in beta phase)
» gonna try to be more active on X this week… been spending a lot of time outside here lately
» also… do people still read educational threads? Like the ones we had pre-InfoFi era
thinking of bringing that back
Anyway, y’all have a beautiful week okayy 🫶🏽

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Shally 💅💲 retweetledi
Shally 💅💲 retweetledi

One thing I like about the Inference Labs ecosystem so far is how the interface keeps complex ideas like proofs and verification accessible.
Good UI matters.
If verifiable AI is going mainstream, the experience has to feel simple for everyday users too 🤖✨
#InferenceLabs
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Shally 💅💲 retweetledi


What excites me most about Inference Labs is that they’re not just building “better AI” , they’re building verifiable AI.
As autonomous agents and robotic systems become more powerful, trust becomes the biggest challenge.
@inference_labs
🧵 👇🏾👇🏾

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Showing up for my daily @zealy_io and @inference_labs quests
GM if you're bullish on zk verification
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DSperse introduces a practical approach to zkML by verifying only the most important parts of AI inference instead of proving the entire model. That significantly reduces computational overhead while still improving trust and auditability.
@inference_labs
My take: 👇🏾👇🏾👇🏾
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