Crypto M - Crypto News

🚀 AI TRENDS | MiniMax M2.7 Open Source Launches Globally with Key Partnerships On April 13, Jin10 reported that MiniMax, a domestic AI model company, announced the global open-source release of MiniMax M2.7 on April 12. According to Jin10, the launch involved collaborations with major chip manufacturers and inference platforms, including Huawei Ascend, Moore Threads, Muxi, Kunlunxin, NVIDIA, Together AI, Fireworks, and Ollama. On the first day of the open-source release, the model integration and inference adaptation were successfully completed. #AI#MiniMax#M2.7 #OpenSource#GlobalLaunch#Partnerships#HuaweiAscend#MooreThreads#Muxi#Kunlunxin#NVIDIA#TogetherAI#Fireworks#Ollama#InferencePlatforms#ChipManufacturers

🚀 Putin Advocates for Independent Language Models to Enhance National Security Russian President Vladimir Putin emphasized the necessity for Russia to develop independent large language models to bolster national development and safeguard security and defense capabilities. According to NS3.AI, Putin also highlighted the importance of utilizing open-source algorithm libraries from developers across various countries to achieve these objectives. #Putin#Russia#LanguageModels#AI#NationalSecurity#Defense#OpenSource#Technology#Innovation

🚀 Polymarket to Upgrade Protocol and Launch pUSD Token on Polygon Polymarket has announced plans to enhance its protocol and introduce pUSD, an ERC-20 collateral token on the Polygon network, fully backed by USDC. According to NS3.AI, the upgrade aims to lower gas costs and minimize failed trades. The platform intends to open-source the smart contracts next week and will initiate a bug bounty program to ensure security and reliability. #Polymarket#Upgrade#Protocol#pUSD#ERC20#CollateralToken#Polygon#USDC#GasCosts#FailedTrades#OpenSource#SmartContracts#BugBounty#Security#Reliability

🚀 AI's Impact on Investment and Trading: Insights from Nansen CEO PANews posted on X (formerly Twitter) about a discussion with Nansen CEO Alex Svanevik on the evolving role of AI in investment and trading. Svanevik highlighted that 'smart money 2.0' is transforming into a predictive system, with agent trading expected to surpass human trading by 2028. However, he emphasized the need for users to build a 'trust ladder' before fully relying on trading agents. The conversation also covered the implementation of tools like OpenClaw in enterprise settings, where safety is prioritized over speed. Svanevik shared insights on how the Nansen team utilizes OpenClaw and how AI is reshaping team structures. He noted that 'judgment' is becoming the most scarce resource within AI-native companies. Svanevik further pointed out that low latency, overcoming AI bottlenecks, and open-source solutions will define the next generation of agent infrastructure. #AI#Investment#Trading#FinTech#MachineLearning#PredictiveAnalytics#OpenSource#EnterpriseAI#FinancialTechnology#AlgorithmicTrading