GM CT @inference_labs is taking zkML from theory to something real. They’re giving AI a way to prove its answers instead of hiding behind a black box. It’s a meaningful shift toward intelligence that feels safer, more transparent, and genuinely dependable for everyday use.

I'm fully locked-in on @inference_labs Inference Lab proves AI outputs DSperse makes those proofs fast enough for real systems Together, they turn intelligence into something verifiable, scalable, and ready for automation This is how AI becomes trustworthy infrastructure GM

I'm fully locked-in on @inference_labs Inference Lab proves AI outputs DSperse makes those proofs fast enough for real systems Together, they turn intelligence into something verifiable, scalable, and ready for automation This is how AI becomes trustworthy infrastructure GM

Lastly on @inference_labs Inference Lab is turning AI into something you can audit, not just use. Their zkML engine proves outputs instantly, removing guesswork and unlocking reliable automation. It’s the missing verification layer for serious AI systems. GN fam

Lastly on @inference_labs Inference Lab is turning AI into something you can audit, not just use. Their zkML engine proves outputs instantly, removing guesswork and unlocking reliable automation. It’s the missing verification layer for serious AI systems. GN fam

Still on @inference_labs Inference Lab is transforming AI with zkML that verifies every step. No blind trust, no opaque processes; just proofs. It’s the path to scalable, secure, and incentive-aligned intelligence.

GM CT @inference_labs Lab isn’t scaling AI with more GPUs they’re scaling it with proofs. With zkML and fast proving, every model action becomes verifiable and trustworthy. It’s reliable, composable, and built for real automation. This is where verifiable AI starts.

Lfg! Subnet-2 crossing 303M ZK proofs isn’t just a milestone; it’s a signal. @inference_labs took the data, tuned the engine, and unlocked another level of performance. AI is shifting into a new era: provable, rewarded, and impossible to slow down. Pure planetary momentum.

GM CT The thing about @inference_labs that sticks with me is how they’re giving AI a backbone of proof instead of guesswork. And with DSperse pushing those proofs to real-time speed, it suddenly feels like AI can be both powerful and accountable. That combo is rare.

GM CT The thing about @inference_labs that sticks with me is how they’re giving AI a backbone of proof instead of guesswork. And with DSperse pushing those proofs to real-time speed, it suddenly feels like AI can be both powerful and accountable. That combo is rare.

I really like how @inference_labs is making AI verifiable with zkML, while DSperse speeds those proofs up for real-world use. Together, they turn AI from something we trust on belief into something backed by math; reliable, efficient, and ready for real applications.

I really like how @inference_labs is making AI verifiable with zkML, while DSperse speeds those proofs up for real-world use. Together, they turn AI from something we trust on belief into something backed by math; reliable, efficient, and ready for real applications.

@inference_labs is making AI outputs verifiable with zkML, and JSTprove makes that proof generation accessible for developers. Together, they turn every AI result into something you can trust, creating systems that are safer, verifiable, and ready for real-world applications.

@inference_labs is making AI outputs verifiable with zkML, and JSTprove makes that proof generation accessible for developers. Together, they turn every AI result into something you can trust, creating systems that are safer, verifiable, and ready for real-world applications.

GM CT @inference_labs is taking zkML from theory to something real. They’re giving AI a way to prove its answers instead of hiding behind a black box. It’s a meaningful shift toward intelligence that feels safer, more transparent, and genuinely dependable for everyday use.

I’m following @inference_labs because they tackle AI’s real-world challenges. Faster inference, lower costs, better reliability, simple, practical, and smart. That’s the kind of innovation I respect. Keep believing in @inference_labs

I’m following @inference_labs because they tackle AI’s real-world challenges. Faster inference, lower costs, better reliability, simple, practical, and smart. That’s the kind of innovation I respect. Keep believing in @inference_labs

We go again today What pulls me toward @inference_labs is how they’re making zkML feel real. I’ve seen so many teams talk about trustworthy AI, but Inference Lab is one of the few actually turning that idea into something usable. The way they use zkML to let a model prove its

We go again today What pulls me toward @inference_labs is how they’re making zkML feel real. I’ve seen so many teams talk about trustworthy AI, but Inference Lab is one of the few actually turning that idea into something usable. The way they use zkML to let a model prove its

Still on @inference_labs Another thing I find exciting about Inference Lab and DSperse is how they’re changing the way AI plugs into real systems. It’s no longer just “AI gives an answer” now the answer comes with a proof you can trust. Inference Lab focuses on making AI

Still on @inference_labs Another thing I find exciting about Inference Lab and DSperse is how they’re changing the way AI plugs into real systems. It’s no longer just “AI gives an answer” now the answer comes with a proof you can trust. Inference Lab focuses on making AI