This story was originally published on HackerNoon at: https://hackernoon.com/introducing-the-genies-avatar-sdk-integrate-high-fidelity-customizable-avatars-into-your-game.
Genies Avatar Framework is a flexible system for building high-quality avatars that fit naturally into any game world.
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This story was written by: @genies. Learn more about this writer by checking @genies's about page, and for more stories, please visit hackernoon.com.

Genies Avatar Framework is a flexible system for building high-quality avatars that fit naturally into any game world. It is designed to make characters persistent, interoperable, and fully customizable so that developers can define their own look, style, and animation logic. The included Avatar Editor and Genies Closet allow players to design how they look and express themselves through a wide range of clothing.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-native-smart-contracts-are-no-longer-theorythey-just-became-real.
Endless Move-LM turns intent into secure Move smart contracts, marking a shift to AI-native development and raising the security bar for Web3.
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Endless Move-LM is the first AI model built specifically for the Move smart contract language, bridging human intent with mathematically secure code. It marks the shift from AI as a helper to AI as an embedded guardrail for Web3, lowering barriers while strengthening security across the ecosystem.

This story was originally published on HackerNoon at: https://hackernoon.com/why-so-much-ai-yet-so-little-profit-a-closer-look-at-what-businesses-keep-missing.
Gartner reveals why AI adoption isn’t driving ROI. Learn why integrations fail, where value is lost, and how businesses can turn AI into real profit.
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Gartner’s latest research shows a major gap between soaring AI adoption and actual financial ROI. Most AI fails because it isn’t integrated into workflows, relies on poor data, stays stuck in pilots, or lacks change management. Real value comes from strong integration layers, measurable business metrics, quality data, and adoption-focused rollout.