Jun 13
🚨Join TruthTensor🚨
(New User Guide):
1. Open this link: truthtensor.com/signup?ref=T…
2. Sign up: Click Continue with Google, GitHub, or X (easiest).
Or enter Username Email → Send Magic Link.
3. Complete Account Setup (earn points):
🔗Connect X/Twitter
🔗Connect EVM Wallet (MetaMask etc.)
✔️Set Profile Picture
Launch First Al Agent
4. Create & Launch Agent:
👆Click Create Agent
Choose model, set strategy/markets/risk
Deploy (uses simulated funds, no real money)
5. Continue: 🗓️Check daily tasks, improve agent,
refer friends for more points.No real money needed. Points for potential airdrop.
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May 19
zkML Eco
@inference_labs vs @lagrangedev vs @cysic_xyz: The Full verifiable AI vs The Speed Layer vs The Hardware Accelerator
• Inference is building the verifiable intelligence layer: PoI JSTprove DSperse Inference Network on Bittensor Subnet 2 TruthTensor Sertn.
• Lagrange and Cysic are specialized pieces that Inference actually partners with and integrates. Check out this pic for more details.
What caught my eye is Inference isn't competing but orchestrating them. Their PoI stack is the settlement layer that makes verifiable AI actually usable for agents, robotics, finance, and regulated CV.
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May 11
This is how you win verifiable AI
Sertn is @inference_labs flagship product, a production-ready computer vision platform that ships verifiable AI inferences with built-in cryptographic Proof of Inference (PoI).
Every time a CV model runs, Sertn gives you an answer and attaches a tiny, tamper-proof mathematical receipt (~1.7 KB per frame) that proves:
• Which model version ran
• What input it saw
• What output it produced
Anyone (regulators, auditors, partners, or even you) can verify that receipt . No access to the model weights or raw data needed. It's like a notary blockchain receipt for every AI decision.
▸ Real-world proof
It's live at Calgary International Airport, processing live aircraft safety footage across a multi-vendor setup. Flight 0358, A321 at Gate E Bay 6, frost detection, de-icing trucks - the whole thing.
Every frame gets a proof. The event log is fully auditable. 350M proofs have already been generated and verified on Bittensor Subnet 2.
▸ Expanding
• Computer vision market exploding ($24B → $72B by 2034).
• Regulators are cracking down hard (EU AI Act, FDA 2026 guidance, 59 new US AI rules in 2024 alone).
• Sertn turns blind-trust into compliance-ready infra.
▸ A full end-to-end pipeline
• Annotation → training → deployment → provable inference
• Supports YOLOv8, RT-DETRv2, ResNet-50, ViT, etc. Runs on consumer hardware. Flexible proving: private prover for enterprises or fully decentralized on the Inference Network.
This is the enterprise beachhead for everything @inference_labs has been building: JSTprove (the ZK engine) x DSperse (scaling) x TruthTensor (ranking), and the whole PoI stack.
They are building real thing.
Apr 21
1/ Sertn shipped.
One platform from annotation to deployment. Cryptographic proof on every inference. No infrastructure to manage. No code required.
Describe what you want to detect. We handle the rest.
When the auditor asks, the proof is already there.
Live now.
sertn.ai/
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Verification should follow risk.
@inference_labs DSperse applies zero‑knowledge only where trust is needed anomaly detection, decision thresholds, sensitive heads.
That’s strategic verifiability.
@zealy_io
TruthTensor: TruthTensor.com
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ZK for ML doesn’t scale if you prove the whole beast.
Inference
@inference_labs DSperse:
Slice the model.
Prove the decision logic.
Ship faster.
@zealy_io
TruthTensor: TruthTensor.com
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midnight note: TruthTensor Crucible S2 just locked, bonuses hit, become earners not demos. robotics x crypto pressing into defense means accountability @inference_labs machine labor #AI #agents #Robotics #AIAccountability @HeymageETH
@heshket_io
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midnight note: TruthTensor Crucible S2 just locked, bonuses hit, become earners not demos. robotics x crypto pressing into defense means accountability first. if @inference_labs makes receipts settle, S3 meta = markets for machine labor #AI #agents #Robotics #AIAccountability@inference_labs
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May 7
Maybe you are missing this AI solution
@inference_labs is building Proof of Inference (PoI), a ZK cryptographic system that mathematically proves an AI model ran correctly on specific inputs, without revealing the model, data or internals.
It's live on testnet, powers Subnet 2 on Bittensor, and they just raised $6.3M to scale it.
The line up:
• JSTprove: Their lightweight, research-stage zkML proving engine (built on @PolyhedraZK's tech) that secures the actual computation.
• DSperse: The distributed orchestration layer that slices models for parallel, scalable execution and targeted verification.
• Inference Network: The decentralized network running verifiable, auditable inference at scale.
• TruthTensor: The evaluation layer that ranks and competes AI outputs/agents (eg via real prediction-market performance).
Together they create the full flow:
Execution → Cryptographic Verification → Onchain evaluation
They are building an infra for trustless AI.
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Not every part of an ML model needs a cryptographic microscope.
@inference_labs’ DSperse proves only the slices that matter like decision logic or safety checks instead of the whole network.
Smaller circuits. Faster proofs.
@zealy_io
TruthTensor: TruthTensor.com
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Full-model ZK for ML is slow & costly.
@inference_labs DSperse proves only high-value slices (e.g. anomaly detectors) ~77% faster witness gen, ~66% faster proofs, ~38% less memory. @zealy_io
🔗TruthTensor: TruthTensor.com
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340M network proofs. 1432 proving nodes.
@inference_labs isn't just building AI; they’re building Unbreakable AI secured by cryptography, not assumptions.
Experience the future of verifiable inference yourself at:
🔗TruthTensor: TruthTensor.com
@zealy_io
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@inference_labs Verifiable Al just got a boost with Inference Labs' tech. Proof of Inference TruthTensor = trust in models. Zealy campaign's giving access to early birds.
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In 2026, the demand for verifiable AI has moved from a "nice-to-have" to an absolute necessity for the decentralized economy.
One project consistently pushing the boundaries here is @inference_labs. Their work on auditable autonomy and the recent milestones,like Subnet-2 crossing 300M verifiable inferences,really shows the scale they are operating at.
What I find most exciting about the @inference_labs ecosystem:
TruthTensor: Providing LLM evaluation that actually accounts for real-world drift.
Proof of Inference: Ensuring that when an AI makes a decision (especially in DeFi or prediction markets), it's provably correct and untampered with.
If you're following the convergence of AI and Web3, the "black box" era of AI is ending, and @inference_labs is leading the charge toward transparency. 🛠️🤖
#AI #Web3 #VerifiableAI #InferenceLabs #DeAI
@inference_labs
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Apr 8
@inference_labs Verifiable AI just got a boost with Inference Labs' tech. Proof of Inference TruthTensor = trust in models. Zealy campaign's giving access to early birds.
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Apr 8
@inference_labs is pushing verifiable AI forward! Proof of Inference TruthTensor = trusted models. Zealy campaign's handing out early access.
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@inference_labs Verifiable AI just got a boost with Inference Labs' tech. Proof of Inference TruthTensor = trust in models. Zealy campaign's giving access to early birds.
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Apr 8
Just checked TruthTensor.com solid idea around verifiable AI.
Feels like trust in AI is shifting toward proof, not assumptions.
Watching how this evolves with @inference_labs 👀
TruthTensor
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New Airdrop Alpha.🪂
How to farm the TruthTensor AI Airdrop.🪂
The AI Agent narrative is taking over 2026. While others sleep,we grind.
I just deployed my agent on @TruthTensor (by @InferenceLabs).
Here is the quick blueprint to maximize your points for the upcoming $TRUTH drop.
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GM X!!
The Truth will set you free..
What is this Truth? There is a platform where you can create and deploy trading AI within seconds.
Try it out today. Join @inference_labs' TruthTensor Crucible to earn points and climb the leaderboard.
TruthTensor.com
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Apr 7
AI is moving fast, but it still lacks a consensus layer.
Today, AI systems generate outputs and execute actions, but users cannot verify those results.
@inference_labs builds this missing layer through Proof of Inference (PoI).
This system attaches cryptographic proof to every AI output.
JSTprove secures the computation.
DSperse scales the execution.
Inference Network runs decentralized inference.
TruthTensor evaluates and ranks outputs.
Together, these components form a new stack:
execution → verification → evaluation
Blockchain systems bring trust to money.
Inference brings trust to intelligence.
Apr 1
There’s a new layer emerging in AI.
AI is moving toward autonomous systems that act across DeFi, robotics, healthcare, and real-world environments.
That shift introduces a core requirement: Trust
Web3 already showed this pattern.
Smart contracts needed data → oracle layer emerged.
Now AI follows a similar path.
Autonomous systems require provable outputs.
A new layer forms: AI verification layer
The stack
AI infra is taking shape:
Compute → where models run
Oracle → where data enters
Verification → where outputs become provable
This is where @inference_labs sits.
They focus on verifiable inference.
AI systems generate outputs together with cryptographic proofs.
Flow:
AI compute
→ generate proofs
→ verify results
Each output becomes provable.
The pattern
Smart contracts → data → Chainlink
Autonomous AI → verification → Inference Labs
New layers emerge as systems scale.
Final thought
AI moves toward autonomy.
Infrastructure moves toward verifiability.
The result: Auditable autonomy.
Systems that act independently, with decisions backed by proof.
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