Like most computer nerds, we're camera shy—but, we appreciate the platform and the support!. Here’s a video of our own @colingagich for the culture.

AI without proof is a trust crisis waiting to happen. Inference Labs powers the largest zkML proving cluster on Bittensor (Subnet 2), making AI outputs verifiable by design — like rollups, but for inference.

2/ Inference Labs adds cryptographic accountability to every AI decision with 10M+ proofs/month on Subnet 2. 🔗

1/ AI is becoming the silent judge of our digital lives — approving loans, diagnosing conditions, and influencing legal outcomes. But who judges the judge?.

Modern AI is a black box of uncertainty. Inference Labs changes this with cryptographic verification, proving model outputs are correct without exposing private data. Trust through math, not promises.

Miners, builders, signal seekers - watch our latest clip with cofounder Ron to learn how we're scaling AI verification.

AI that can’t prove its output is a liability. Inference Labs converts models into zk-circuits and delivers cryptographic proof in real time — 76% faster than others. Already powering 10M+ proofs/month on Subnet 2. This is trust at compute speed.

Celebrating our partnership with @SecondLiveReal 🎉. Join the AirDrop campaign and win amazing prizes!.

In 2024, AI generated over 100 million synthetic images every single day (MIT Tech Review). But here’s the catch: less than 1% of those outputs can be verified or audited. That’s a huge problem. We’re living in a time where deepfakes spread like wildfire, black-box models make.

Deepfakes are getting smarter. Our verification tools are getting sharper. Explore how zero-knowledge proofs and zkML can secure content authenticity, without sacrificing privacy. Read the full piece:.

2/ Our zkML engine turns AI outputs into cryptographic proofs, verifiable on-chain. → 10M+ proofs/month on Subnet 2. → 76% faster than legacy stacks. → 4.9kB proofs you can audit forever. In DeFi, trustless logic isn’t enough. You need provable agents.

1/ DeFi bots manage billions, but they’re still black boxes. If a bot front-runs users or uses a tampered model, there’s often no way to prove it. Inference Labs changes that with Proof of Inference.

RT @inference_labs: We’re proud to be building the largest zkML proving cluster on Bittensor — and while we're a bit shy on labels, we're d….

4/ Want to see it live? Our Renzo integration proves AI-driven delegation is honest. No more ‘trust me, bro’ algorithms. Just math.

3/ Inference Labs solves this with:.- Proof of Inference (on-chain verification).- Model-to-circuit tooling (transparent conversion).- Bittensor subnet slashing (economic stakes). DeFi doesn’t need more hype. It needs proof.

2/ Example: A lending protocol uses an AI risk model. How do you know it wasn’t manipulated?.How do you audit its logic?.How do you prove it ran correctly?.Without zkML, you can’t.

1/ DeFi’s next systemic risk isn’t in your smart contracts — it’s in the AI oracles you blindly trust. Here’s why unverified AI = unsecured DeFi 🧵.

We’re proud to be building the largest zkML proving cluster on Bittensor — and while we're a bit shy on labels, we're definitely not shy on output. Scaling verifiable AI, one proof at a time.

Inference Labs x DeepBook AI. Web3 deserves a browser built for trust. We’re teaming up with @deepbook_ai to explore how AI can help verify on-chain actions directly in a browser made for crypto. By combining zkML tech with privacy-first infrastructure, we want to make it easier

DAO governance is vulnerable to AI manipulation. We fix this with verifiable voting — zkML proofs that confirm human participation and prevent bot interference. True decentralized democracy starts with provable integrity.