I just launched a @Polymarket AI Trading Agent for free using a simulated portfolio on TruthTensor from @inference_labs! 🤯 Season 1 Starts soon, join now to start earning points 🔗

Inference Labs x Kaito 🚀 We’re opening 0.5% of total supply to reward the most active supporters: • Yappers (0.4% with CN/KR reserve) • Ecosystem contributors (0.1%) • Top 100 explorers Show up, rank up, and claim your share: https://t.co/q6ASNBjdI2

Autonomous systems have no “biometrics.” No fingerprints. No Face ID. No way to prove their actions haven’t been tampered with. Ron Chan @sudo_ron explains why autonomous systems need the same guarantees humans use every day.

Targeted verification with DSperse is useful, It solves the dilemma of ZK proofs being too slow/expensive for huge ML models. Instead of proving the entire model, you only prove the critical part, This is the key to achieving practical verifiability in AI system @inference_labs

Inference is making AI understandable

I made my first trade on Electra DEX The Trade was seamless. Really fast. You can count on @ElectraTrade to make your trades

⚡️ ELECTRA ZEALY SPRINT IS LIVE! 14 days of activity, XP racing, and high engagement across the Electra community. At stake — $5,000 distributed among the top 150 participants. 🤑 Cash Rewards (Top 50): • 1st place — $300 • 2nd place — $200 • 3rd place — $150 • 4–10 — $75

Autonomous agents are leaving sandboxes. Inference Network gives them an identity made of math. No proof, no permission. With on chain proofs, agents can cross borders, vendors, and networks while staying accountable.

https://t.co/zlULffGvgD

DSperse proves what matters. Instead of end to end overhead, we verify slices and aggregate. JSTprove accelerates proofs with GPU and smart circuits. Together they make verifiable AI practical at internet scale.

1/ Security incidents keep stacking across clouds, extensions, local models, and laptops. Attackers target tokens, identity edges, and silent model tampering. If AI runs without evidence, you inherit the risk.

Inference Labs isn’t just slapping ZK‑proofs onto ML it’s redefining decentralized compute. makes AI agents as transparent & auditable as smart contracts, turning black box AI into provable modules that unlock autonomous, high‑value apps @inference_labs

Congrats to the Irys team on reaching mainnet 👏 Programmable data is critical to the future of auditable autonomy.

1/ zkML is powerful, but it hits a wall fast. DSperse + JSTprove change the game by making verifiable AI modular and scalable. Proof where it matters → speed where it counts.

Inference all the way.

Lando Norris took control of the whole title fight. 🏁 Here's the recap 🧵👇 1️⃣ Two poles, two wins and one orange statement. Interlagos wasn't driven by domination, but direction. Norris and his fans know exactly where this season's headed. 2️⃣ Twenty-four points clear

Which was the first car to use carbon fiber? The McLaren MP4/1 in 1981. Make it lighter, faster and safer. That moment changed the sport for the better.

Verification is the ultimate bottleneck for AI autonomy. Until we can prove what an AI agent did, why it did it, and that its response was untampered (Proof of inference), autonomous agents remain too risky for high value transactions. Autonomy scales only when trust is sure.

Humans have FaceID and signatures. Machines have nothing equivalent. Inference Labs is building the trust layer so every model decision is identifiable, attributable, and verifiable. Auditable Autonomy for robots, agents, and enterprise stacks.

I will always treasure you guys @inference_labs 🥺🥺