banta90☣️☣️ (@iniabasibarnab1) 's Twitter Profile
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@iniabasibarnab1

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calendar_today21-10-2021 01:04:08

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Inference Labs (@inference_labs) 's Twitter Profile Photo

1/ Frontier AI is powerful, but without proof it remains a black box. Industries need verifiable systems, from robotics to finance to autonomous intelligence.

1/ Frontier AI is powerful, but without proof it remains a black box.

Industries need verifiable systems, from robotics to finance to autonomous intelligence.
Inference Labs (@inference_labs) 's Twitter Profile Photo

If your zkML system requires full-model proving, it won’t reach production. Modularity wins. Distribution wins. DSperse + JSTprove win.

Inference Labs (@inference_labs) 's Twitter Profile Photo

1/6 Season 2 of the TruthTensor Crucible is now closed! The seasonal leaderboard locked. The bonuses are credited. The data is being reviewed. What's been accomplished so far has been extraordinary. 🎉

1/6 Season 2 of the TruthTensor Crucible is now closed!

The seasonal leaderboard locked.
The bonuses are credited.
The data is being reviewed.

What's been accomplished so far has been extraordinary. 🎉
Inference Labs (@inference_labs) 's Twitter Profile Photo

JSTprove is going live on Subnet-2 mainnet. After a week of successful testnet proving, we’re now scaling to thousands of proofs per week and unlocking verifiable inference for models that weren’t feasible before. This is a big step for Proof of Inference.

JSTprove is going live on Subnet-2 mainnet.

After a week of successful testnet proving, we’re now scaling to thousands of proofs per week and unlocking verifiable inference for models that weren’t feasible before.

This is a big step for Proof of Inference.
Inference Labs (@inference_labs) 's Twitter Profile Photo

Most LLM benchmarks assume the world is static. Reality isn’t. In TruthTensor, we evaluate models in live prediction markets under drift and show that models can follow instructions locally while violating them over time. Same prompts. Same data. Very different reasoning

Inference Labs (@inference_labs) 's Twitter Profile Photo

Trust in autonomy should not depend on vendors. It should be built on cryptographic proof that stands on its own. Connect with our community on Discord and Telegram. t.me/inference_labs discord.com/invite/inferen…

Inference Labs (@inference_labs) 's Twitter Profile Photo

As agents start touching money, logistics, and infrastructure, “trust me” stops working. Critical systems need proof, not promises. That’s why we’re building verifiable inference at Inference Labs. Join the our community → Discord / TG: discord.com/invite/inferen…

As agents start touching money, logistics, and infrastructure, “trust me” stops working.

Critical systems need proof, not promises. That’s why we’re building verifiable inference at Inference Labs.

Join the our community → Discord / TG:
discord.com/invite/inferen…
Visual__Bee (@iberedemod94734) 's Twitter Profile Photo

Trustless computer vision is no longer theoretical. Join us for the first Inference Labs AMA as we break down "PROOF OF INFERENCE" how to verify what vision models actually saw and computed, not just what they claim. 📅 Feb 26 ⏰ 2pm UTC 🎙️ With co-founder Colin G (long DXB) If AI can

Trustless computer vision is no longer theoretical.

Join us for the first Inference Labs AMA as we break down "PROOF OF INFERENCE" how to verify what vision models actually saw and computed, not just what they claim.
📅 Feb 26
⏰ 2pm UTC
🎙️ With co-founder <a href="/colingagich/">Colin G (long DXB)</a>
If AI can
Inference Labs (@inference_labs) 's Twitter Profile Photo

As agent ecosystems grow, verification becomes infrastructure, not a feature. With zkML + Proof of Inference, we can: • Prove model execution • Verify agent outputs • Enable trustless automation between systems Clawdbot-style agents + verifiable execution = real autonomous

Inference Labs (@inference_labs) 's Twitter Profile Photo

1/ A lot of the AI world is focused on bigger models and better interfaces. Inference Labs is focused on something just as important: trust infrastructure for AI systems that need to operate in the real world.

1/ A lot of the AI world is focused on bigger models and better interfaces.

Inference Labs is focused on something just as important: trust infrastructure for AI systems that need to operate in the real world.