Causeway Capital Acquires British Bike Brand Whyte Bikes for £5 Million
PorAinvest
lunes, 20 de octubre de 2025, 8:26 am ET1 min de lectura
MMA--
The testnet phase aims to stress test tokenomics, staking, and reward mechanics, leveraging NVIDIA's AI infrastructure for large-scale fight analytics and performance scalability. The integration of NVIDIA's GPU-accelerated frameworks, such as TensorRT, CUDA, and DGX Cloud, enables real-time data inference and pattern recognition, enhancing the platform's ability to analyze and predict user performance.
The AI layer of MMA.INC's platform will generate personalized insights and experience points (XP) based on training data, fight footage, and performance metrics. These insights will directly feed into the reward engine, driving gamification and community retention. This technology forms the backbone of the "Get Paid to Train" economy, where measurable effort, verified training sessions, and skill improvement translate into tokenized rewards.
The testnet phase will simulate full ecosystem activity, including minting, staking, XP accumulation, and rewards distribution. It will also introduce AI-powered analytics to assess user performance, engagement, and progression. This technology is designed to create a highly engaging and unique user experience, attracting more MMA fans and increasing user engagement.
MMA.INC aims to launch its mainnet in Q1-Q2 2026, subject to successful audits and testing outcomes. The integration of AI into token testing allows the company to validate how machine learning models influence reward precision, engagement velocity, and economic balance. This initiative is part of MMA.INC's broader strategy to transform the martial arts landscape and deliver unparalleled value to its stakeholders.
NVDA--
TST--
SOL--
MMA.INC has launched its proprietary "Get Paid to Train" utility token on Solana testnet to stress test tokenomics, staking, and reward mechanics. The integration of NVIDIA AI infrastructure supports large-scale fight analytics and performance scalability. AI-powered analytics gamify participation, training, and reward progression, incentivizing engagement and conversion with 700 million global MMA fans. The testnet phase enables XP accumulation, performance tracking, and AI-based insights to validate engagement loops. Mainnet deployment remains on track for Q1-Q2 2026.
Mixed Martial Arts Group Limited (MMA.INC) has made significant strides in its blockchain and AI integration by launching its proprietary "Get Paid to Train" utility token on the Solana testnet. This move marks a pivotal step in the validation of the company's Web3 ecosystem, which merges combat sports, blockchain, and artificial intelligence (AI).The testnet phase aims to stress test tokenomics, staking, and reward mechanics, leveraging NVIDIA's AI infrastructure for large-scale fight analytics and performance scalability. The integration of NVIDIA's GPU-accelerated frameworks, such as TensorRT, CUDA, and DGX Cloud, enables real-time data inference and pattern recognition, enhancing the platform's ability to analyze and predict user performance.
The AI layer of MMA.INC's platform will generate personalized insights and experience points (XP) based on training data, fight footage, and performance metrics. These insights will directly feed into the reward engine, driving gamification and community retention. This technology forms the backbone of the "Get Paid to Train" economy, where measurable effort, verified training sessions, and skill improvement translate into tokenized rewards.
The testnet phase will simulate full ecosystem activity, including minting, staking, XP accumulation, and rewards distribution. It will also introduce AI-powered analytics to assess user performance, engagement, and progression. This technology is designed to create a highly engaging and unique user experience, attracting more MMA fans and increasing user engagement.
MMA.INC aims to launch its mainnet in Q1-Q2 2026, subject to successful audits and testing outcomes. The integration of AI into token testing allows the company to validate how machine learning models influence reward precision, engagement velocity, and economic balance. This initiative is part of MMA.INC's broader strategy to transform the martial arts landscape and deliver unparalleled value to its stakeholders.

Divulgación editorial y transparencia de la IA: Ainvest News utiliza tecnología avanzada de Modelos de Lenguaje Largo (LLM) para sintetizar y analizar datos de mercado en tiempo real. Para garantizar los más altos estándares de integridad, cada artículo se somete a un riguroso proceso de verificación con participación humana.
Mientras la IA asiste en el procesamiento de datos y la redacción inicial, un miembro editorial profesional de Ainvest revisa, verifica y aprueba de forma independiente todo el contenido para garantizar su precisión y cumplimiento con los estándares editoriales de Ainvest Fintech Inc. Esta supervisión humana está diseñada para mitigar las alucinaciones de la IA y garantizar el contexto financiero.
Advertencia sobre inversiones: Este contenido se proporciona únicamente con fines informativos y no constituye asesoramiento profesional de inversión, legal o financiero. Los mercados conllevan riesgos inherentes. Se recomienda a los usuarios que realicen una investigación independiente o consulten a un asesor financiero certificado antes de tomar cualquier decisión. Ainvest Fintech Inc. se exime de toda responsabilidad por las acciones tomadas con base en esta información. ¿Encontró un error? Reportar un problema

Comentarios
Aún no hay comentarios