$ZANO is one to watch as price structure develops.
🔹 RSI: Watch the 50 level for momentum confirmation
🔹 MACD: A bullish crossover could signal strengthening momentum
🔹 Moving averages: A reclaim above the short-term MA would improve the setup
@zano_project
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I've been following what Subnet 2 is building, and I think one thing stands out: it's making Verifiable AI practical instead of just theoretical.
Crossing 2.2+ BILLION verified proofs on-chain is a huge milestone. It shows that large-scale zkML verification is already happening, not just being talked about.
What excites me most is how Subnet 2 is giving the next generation of AI inference, autonomous agents, and builders access to verifiable oracles powered by zero-knowledge circuits. That means AI outputs can be proven, audited, and trusted something we'll need as AI becomes part of critical applications.
#zkML #Bittensor #VerifiableAI #Subnet2
I've been following what Subnet 2 is building, and I think one thing stands out: it's making Verifiable AI practical instead of just theoretical.
Crossing 2.2+ BILLION verified proofs on-chain is a huge milestone. It shows that large-scale zkML verification is already happening, not just being talked about.
What excites me most is how Subnet 2 is giving the next generation of AI inference, autonomous agents, and builders access to verifiable oracles powered by zero-knowledge circuits. That means AI outputs can be proven, audited, and trusted—something we'll need as AI becomes part of critical applications.
#zkML #Bittensor #VerifiableAI #Subnet2
I've been diving deeper into what @inference_labs is building, and what stands out to me is their focus on making AI outputs verifiable instead of asking users to trust them blindly.
Projects like DSperse show that scalable verification for real ML inference is becoming practical, which could make AI far more trustworthy across finance, healthcare, and Web3.
Their Zealy campaign has also been a fun way to learn the ecosystem while engaging with the community rather than just farming points. Looking forward to seeing what the team ships next.
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Been exploring what @inference_labs is building, and what stands out to me is the focus on making AI outputs verifiable, not just impressive.
As AI becomes part of more critical decisions, being able to prove an inference happened correctly matters just as much as the result itself. That's why projects like DSperse and the broader Inference Labs ecosystem feel genuinely important.
The Zealy campaign has also been a great way to learn the tech instead of just farming points. Looking forward to seeing how the ecosystem evolves.
Not every AI prediction needs to be verified from scratch.
DSperse focuses on targeted zero-knowledge verification, proving only the parts of ML inference that actually matter. That means lower costs, faster verification, and a much more practical path to bringing verifiable AI into real-world applications.
@inference_labs