@PerleLabs Middle
The stone texture looks slightly repetitive and too uniform, and the overall lighting feels a bit overly perfect and cinematic — subtle signs of AI generation.
@PerleLabs Left
The left image has the most natural lighting and fabric texture. Its colors look realistic, while the other two have overly smooth surfaces and perfectly uniform patterns typical of AI‑generated images.
AI agents are about to redefine the internet.
The mistake we made with Large Language Models?
We let a handful of corporations capture all the value.
Action Model is building a different path.
By training through our extension, users gain fractional ownership in the Large Action Model, giving them a real stake in the future of AI.
When LLMs emerged, the upside flowed to Big Tech.
This time, it doesn’t have to.
They’re building AI on our data, and keeping the upside for themselves.
Community-owned Large Action Model is how we take it back.
X1ECOSystem Marathon
📆 Dates: February 23, 2026 - March 9, 2026
💰 Prize Pool: $400 USDT
🏆 40 winners will each receive $10, selected via raffle
👉 Join Now: https://t.co/cxDiKzzgzB
Take part in a 2-week interactive quest campaign with our ecosystem partners. Complete engaging, easy-to-follow tasks to explore partner projects and discover the full range of features and opportunities across X1 EcoChain.
@0xNomis a decentralized reputation protocol that assigns and leverages wallet reputation scores across multiple platforms, enabling personalized and trusted interactions.
@xNodePro an all-in-one node infrastructure platform for deploying and managing testnet nodes, empowering users to participate in decentralized systems and earn rewards.
@GPT360_Official a comprehensive AI marketing platform that helps Web3 projects boost engagement, retain members, and expand reach organically through verified, bot-free, reward-based campaigns.
This file is my personal budget tracker. It helps me stay organized, control spending, and plan savings each month. Keeping it secure matters to me because it reflects my financial habits and future goals.
@DataHaven_xyz
One day, a billion-dollar company will be run by one person.
Not because they work 100 hours a week, but because they have AI employees.
AI has unlocked the era of the one-human enterprise.
One founder. Infinite digital workers.
Yes, this levels the playing field for builders.
But what happens to the millions of people those roles would have employed?
If AI replaces labor, ownership matters more than ever.
Either Big Tech owns the automation…
Or the people do.
People-owned AI isn’t optional. It’s imperative to the future of humanity.
DSperse by @inference_labs provides targeted, practical zero-knowledge verification for real ML inference. By focusing on verifying only what matters, it reduces overhead while ensuring trustless, verifiable AI outputs.
The future of AI depends on verifiable inference. Without zk-proofs, we’re trusting “black-box” outputs. Inference Labs’ Proof of Inference shows how decentralized AI can be trustless, auditable, and scalable — a critical milestone for Web3 intelligence.
Hey everyone 👋
I discovered Inference Labs while exploring decentralized AI infrastructure. What really caught my attention is Proof of Inference and the idea of verifiable, trustless AI using zk-proofs🚀