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Cryptzarr
47.4K posts

Cryptzarr
@Cryptzarr
Vibe coder | Yahweh’s Creation | Creator & Moderator | UX Designer | Ambassador: @allscaleio
شامل ہوئے Ocak 2025
1.7K فالونگ1.9K فالوورز

𝐈 𝐀𝐬𝐤𝐞𝐝 𝐀𝐈 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬. 𝐈𝐭 𝐆𝐚𝐯𝐞 𝐌𝐞 𝐚 𝐖𝐫𝐨𝐧𝐠 𝐀𝐧𝐬𝐰𝐞𝐫.
Last month, I tested something that scared me.
I gave an AI diagnostic system real medical imaging from a hospital in Nigeria.
It didn’t just make a mistake, it got the diagnosis completely wrong.
I showed the same images to a radiologist. They spotted it immediately.
The AI missed it because it had never seen data like this before, Its training came from US and European hospitals.
Different demographics, different patterns and different edge cases it never learned
Here's what keeps me up: that AI is being used in real hospitals right now.
This isn't just a medical problem. It's everywhere. Why??
AI is only as good as the data feeding it.
Right now, most AI training data is centralized, unverified, and biased. There's no chain of custody and no accountability when the AI gets it wrong, nobody knows why.
Was it the annotator who mislabeled it? The incomplete dataset? The model itself?
Nobody knows. The black box stays black.
The AI training data market is worth $3.2 billion today. By 2033? $16.3 billion.
Almost all of it is controlled by centralized platforms like Scale AI and Appen.
They hire annotators to label millions of images and texts, but there's zero transparency. You can't even verify their qualifications or work history.
The data gets fed into AI models and we just trust it until it fails. Like that hospital AI.
Or when an autonomous vehicle misreads a sign because training data missed the edge case.
Or when a legal AI gives wrong precedent because the annotator didn't understand context, the consequences are real.
That's when I started paying attention to @PerleLabs
They're doing something nobody else in AI data is doing: putting the entire annotation process onchain.
Every label. Every annotation. Every piece of feedback. All verified, traceable, and permanent.
Here's how it works:
Instead of anonymous crowd workers, Perle brings in credentialed domain experts.
Radiologists for medical imaging. Legal professionals for documents. Engineers for robotics datasets.
These experts complete tasks, and every piece of work gets recorded onchain with immutable proof.
You can trace any data point back to the exact expert who labeled it, their qualifications, work history, and reputation score.
No black boxes, just transparency.
And experts get rewarded fairly through smart contracts, instant payouts and no platform taking 20%. Every task builds their onchain reputation and a permanent credential they own.
The numbers are insane:
In just 6 months over 1M annotators globally, 1B+ data points verified, and 1.7M tasks completed
95% consensus rate (industry standard is 70-80%)
$600K annual savings for clients and 30% accuracy improvement in models
They raised $17.5M from Framework Ventures, CoinFund, and HashKey.
$PRL token is already on the Coinbase roadmap.
The team? Ex-Scale AI leadership, MIT grads and Operators from Meta and Amazon.
They didn't just leave Scale AI to build a competitor. They left to build what Scale should have been.
Here's why this matters for Web3:
We talk about decentralization constantly, but if the AI models we're building on blockchains are trained on centralized, unverified, and biased data? We haven't actually decentralized anything fr.
And @PerleLabs is solving that already.
They're building the sovereign intelligence layer where every annotation is onchain, every expert is credentialed, every model is traceable, and every outcome is accountable.
It's not just crypto use cases either:
Healthcare: FDA/HIPAA-compliant medical imaging
Robotics: Multi-sensor data for physical AI
Legal: Document analysis for regulatory LLMs
Finance: Bias audits for high-stakes models
When AI makes decisions affecting real life diagnoses, legal rulings, financial advice, and autonomous driving you need to verify the data behind it.
Right now, you can't. But with Perle, you can.
I'm not saying AI is bad.
I'm saying it's only as good as the data feeding it. And right now, most of that data is unverified, centralized, and biased.
Perle is changing that, they're turning human expertise into verifiable digital assets. Making AI training data transparent and fair. All onchain, on Solana.
If you care about AI actually working, not just looking smart, perle is the infrastructure that makes it possible.
#PerleAI #ToPerle
Participating in @PerleLabs community campaign

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1 hour to go
tune in to our space with raiku to learn about what the devs have been cooking for v1

Raiku 🐉@raikucom
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@Maidaboi01 Look at the comments, those people you are trying to advocate for; check if they haven’t pasted their wallet addresses.
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look who is back with a different username
don't interact and stay safe!

tempo (io)@tempofunio
npm run drop --wallet <ADDRESS> --network <tempo> --amount <VALUE>
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right now, thousands of drones are flying over your city.
every single one is legally required to scream its identity, location, altitude, and speed into the air - every second it’s in flight.
your phone can’t hear it.
your government can’t hear it.
nobody can.
they’re all just yelling into nothing.
@FliteGrid is building the ears. <🧵+🎥 🔻>

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If you’ve seen those Web3 bounty campaigns and wondered why you never win…
even after putting in effort
Most times it’s not about luck or even talent, you’re just approaching it the wrong way
Here’s the exact workflow I use to earn $20–$2k per task consistently 🧵🔻

Hay Why ₿ 🧙♂️🪄@Haywhy_Lambo
Bounty hunters and content creators, I’ve got something for you tomorrow. If you’ve been trying to win more campaigns or earn from your content, this will help. Turn on post notifications. Dropping in the morning. 😉
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@Polymarket That’s just hype, just advanced LLMs with search capacities and higher reasoning capacity
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@OrioleInsights @nadoHQ @inkonchain @krakenfx @krakenfx_ZH @krakenfx_FR @Jackisnotinabox @tradertrader350 @nadoscan @inkfndhq @_kodziak No invite available
Español

🔥 @NadoHQ Points Program Open Beta Season 1 is Live!
📜 About Nado
Nado is a Perp #DEX on @inkonchain (@krakenfx L2) built by the former #Vertex team. A CLOB-based exchange with unified cross-margin for spot, margin, and perps - designed for serious traders.
Open Beta Season 1
• 950,000 points distributed weekly
• Rewards for trading, market making & activity
• Early users capture the biggest share
🚨Confirmed Airdrop
Advisor of @inkonchain and #Nado said that Ink will be released in 4–6 months, and Nado users will receive a significant share of the #airdrop.
🚨Access is limited
@nadoHQ is still invite-only. Only 50 spots available — FCFS.
Get in early while spots are still open!
👉 app.nado.xyz/?join=ZZgQNIi

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Good night 🌙
The latest update from @grvt_io is worth thinking about.
Season 2 adds +6% community allocation, while existing points remain protected.
Usually more allocation means dilution.
But here, rewards expand without reducing the value of early participation.
That balance between growth and fairness feels intentional.
If this approach continues, point value could be more stable than people expect.

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@huseyin1tekin @LilPudgys @xlauralucky @pudgypenguins @LucaNetz @shivst3r @becca_nfts Cute pudgy always rocks
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My gf sent me this cute @LilPudgys nft as a gift, feeling penguishh rn 🐧🐧
Thanks my love @xlauralucky ♥♥
Does pengu supports pengu still matters?

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@ifwayodeji @FliteGrid I love drone tech even thinking of getting one enterprise drone myself from DJI
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I once saw a drone flying over an event.
Everyone noticed it.
But no one knew:
>> Who owned it
>> Where it came from
>> Where the pilot was
Later I learned something surprising.
The drone was broadcasting that data.
But no one was listening.
@FliteGrid is solving this.

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@RyderWallet Ryder helps solve that and there’s also recovery tag and you can even set recovery contacts too
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