One Web3 use case I’m super excited about is confidential computing and @iEx_ec is leading the way with TEEs
Imagine running AI and sensitive data on-chain without exposing it. That’s a game-changer for DePIN, healthcare, and beyond
Privacy + decentralization? Sure !!
$RLC
@inference_labs As AI becomes part of critical workflows, Verifiable AI will be essential for enterprise adoption.
I like that @inference_labs isn't just building better computer vision, it's making every prediction accountable with Proof of Inference. https://t.co/s4Jys0nHc4
AI-powered computer vision is improving fast, but regulated industries need more than accurate predictions, they need proof.
If an AI flags a defect or a safety issue, how do you verify that result later?
That's the challenge @inference_labs is tackling with Proof of Inference
@inference_labs This matters most in industries where AI decisions have real consequences.
🏭 Manufacturing quality control
✈️ Civil aviation inspections
🌾 Agriculture
🦺 PPE compliance
In these environments, verifying an AI decision is just as important as making one.
UK government login theft is another reminder that AI systems do not operate in clean environments. Credentials, agents, tools, and outputs all become attack surfaces.
At Inference Labs, we think trust needs to be built into every inference, not added after damage is done.
Another successful @zealy_io collaboration in the books with @HotcoinGlobal !
Building thriving Web3 communities isn’t just about running campaigns—it’s about creating engagement, trust, and long-term impact. 🌍
Huge thanks to everyone who participated and made this collaboration a success. More partnerships, bigger campaigns, and even greater opportunities are on the way. 💚
Together we grow. Together we win. 🏆
Join : https://t.co/aZkf0Y5uUX
Claude’s hidden thinking space points to a bigger enterprise problem: AI behavior is becoming more capable and less obvious.
When internal reasoning is hard to observe, external verification matters more. Sertn turns inference events into records teams can trust.
Anthropic’s token boom meeting budget backlash shows the next AI constraint is not just intelligence. It is cost, efficiency, and control.
Sertn is thinking about proof that can travel with AI outputs without adding unnecessary weight to production systems.
The future of AI compute is green and it’s getting closer.
By 2027, Solar DePIN aims to launch its native token and power a fully automated global green compute hosting network, making renewable-powered GPU infrastructure accessible at scale.
This isn’t just another roadmap milestone—it’s a step toward decentralizing AI infrastructure while reducing the industry’s carbon footprint.
The next generation of AI deserves sustainable compute.
@inference_labs I agree with this, specialized models with robust verification and orchestration may offer a more reliable path forward for production AI.
Most Vision AI tools tell you what they detected. Sertn lets you prove it.
With Proof of Inference, every prediction is tamper-proof and auditable, ideal for manufacturing, PPE compliance, and other enterprise use cases.
#Sertn#VisionAI#ProofOfInference#EnterpriseAI#AI
We're moving from software that executes instructions to AI that makes decisions.
That changes the security model completely.
Every autonomous decision should be auditable, privacy-preserving, and mathematically verifiable, not just logged after the fact.
@inference_labs@hudsongrae_me For me this is an interesting demo of streamlining manufacturing inspections through automated computer vision workflows. Verifiable proof is very crucial
As we get ready for the beginning of our May quests tomorrow (l!nk below)...
Let's take a second to recognize our mods and https://t.co/pyBlabg5wH ambassadors who make our community a fair and safe space. Here's for all their hardworks!