chinazaiwuchukwu

[Snapmuse.io @snapmuseio]

As we get ready for the beginning of our May quests tomorrow (l!nk below)...

Let's take a second to recognize our mods and https://t.co/pyBlabg5wH ambassadors who make our community a fair and safe space. Here's for all their hardworks!

[chinazaiwuchukwu @Cha_zani]

Subnet 2 is showing why trust matters in AI. With 2.2B+ verified proofs on-chain, Verifiable AI is making it possible to verify outputs instead of blindly trusting them. A big win for builders, agents, and the future of AI.

#zkML #Bittensor #VerifiableAI #Subnet2

[Thomas @thomas_1073]

Computer vision can identify aircraft, engines, wings, cockpit, and runway markings in a single frame.

The next step is verifiable AI.

Sertn binds every detection to the model, input, output, and a cryptographic proof bringing trust to aviation AI.

[chinazaiwuchukwu @Cha_zani]

I can see why this would matter in areas like civil aviation, manufacturing, and even agriculture, where AI decisions need to be trusted and verified, not just accepted at face value.

@Inference_Labs

https://t.co/bMNoIBggdl

[chinazaiwuchukwu @Cha_zani]

The cryptographic proofs are probably the most interesting part to me. They're like secure digital receipts that connect the model version, the input, and the output together. Since they're tamper-resistant and under 500 KB, they can be stored and checked without taking up much

[chinazaiwuchukwu @Cha_zani]

That's what makes it different from the computer vision systems I'm used to hearing about. Most of them simply return a prediction, and that's the end of it. Sertn adds a way to verify every prediction, making it much easier to trace and audit what happened later. 3/5

[chinazaiwuchukwu @Cha_zani]

While reading about Sertn, I found that it approaches this differently through something called Proof of Inference™. Instead of just giving an AI result, it also creates proof that shows exactly which model produced that specific prediction. 2/5

[chinazaiwuchukwu @Cha_zani]

One thing I've noticed about AI is that getting a prediction isn't always the hard part. The bigger challenge is proving where that prediction came from, especially in industries where mistakes can have serious consequences and every decision needs to be accounted for. 1/5

[chinazaiwuchukwu @Cha_zani]

Trust is earned. Proofs > promises. #InferenceLabs #VerifiableAI

[chinazaiwuchukwu @Cha_zani]

Everyone talks about AI becoming smarter, but I think trust will become the bigger challenge. If an AI gives the right answer, how do we know why it reached that conclusion? Verifiable inference could become as important as the model itself. Accuracy without proof won't be enough

[Jess Engineer @Jessdotfun]

Intelligence gets the spotlight

Verification takes the podium🥇

In the long run, trust is built by proof,,not by promises.

@inference_labs

[Ezike Ebube @doskman56]

Africa's cross-border paymentsneed betterspeed, lower costs,and improved liquidity. Gladtosee @UtribeOne leading conversations on solutionsthat can makeregional paymentsmore efficient.

Join the discussion: https://t.co/EkjnT6vijx

@MamadouTribeOne @olaniyi_Alabi_ @faizahnaserian

[chinazaiwuchukwu @Cha_zani]

@MrCharlesky I'm interested sir

[chinazaiwuchukwu @Cha_zani]

@doskman56 @UtribeOne Wow

[Ezike Ebube @doskman56]

1/6
Ubuntu isn’t just a word, it’s a model for participation that Web3 desperately needs.
It’s about shared purpose, not siloed profit.
@UtribeOne #Web3 #Participation #Ubuntu #TogetherWeRise

[Richard Parris 🟥 @richard_parris]

This week it's all about https://t.co/ieKwpqyUpi

No account, no permissions file sharing on Saito.

[Saito Network 🟥 @SaitoOfficial]

It is!

[Saito Network 🟥 @SaitoOfficial]

Ever lost a match and thought: that felt… off? 🤔

We’re live TODAY unpacking why: Online game fairness isn’t about better rules, it’s about infrastructure.

Who sees the data first?
Who decides the RNG?
Who can override outcomes?

[Saito Network 🟥 @SaitoOfficial]

Your “decentralized app” can still get rugged by 1 config file.

[Saito Network 🟥 @SaitoOfficial]

Well done - you’re paying rent to Web3 landlords.

In most networks, you’re not paying the chain. You’re paying the shadow stack: RPCs, indexers, gateways, infra providers.

If they go down? Your “decentralized app” goes down too.

Saito flips it: nodes get paid to route + deliver data onchain. No toll booths. No hidden landlords.