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XRP $1.38 +4.58%
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TRX $0.3163 +0.35%
DOGE $0.0947 +3.77%
ADA $0.2589 +5.91%
BCH $446.93 +3.10%
LINK $9.21 +3.96%
HYPE $39.46 +6.87%
AAVE $95.51 +3.65%
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klein

K1 Research and Klein Labs co-host '2026 Seoul Signal', looking ahead to the next wave of Web3

K1 Research, a consulting firm for market expansion in the Asia-Pacific region, will collaborate with strategic market makers and Web3 startup incubator Klein Labs to jointly host "2026 Seoul Signal: Insights into the Next Wave of Web3" on January 22 at People the Terrace in Seoul.This event is based on K1 Research's global research and industry network in cities such as Seoul, Hong Kong, Singapore, and Dubai, combined with Klein Labs' practical experience in liquidity design and market structure, aiming to provide forward-looking strategic references for the development of the Web3 industry in 2026. The forum will gather Builders, Creators, and Traders for in-depth discussions on survival strategies and long-term growth paths for the next cycle.The conference is supported by three heavyweight gold sponsors:BGB ------ The official platform token of Bitget exchange, serving as a core asset in the Bitget ecosystem, primarily used to connect trading, community, and platform rights.LeverUp ------ A perpetual contract DEX based on Monad, offering up to 1001x leverage and a fee-sharing mechanism;AetheriumX ------ A Web3 ecosystem integrating staking, gaming, and creator markets.Additionally, partners such as Gaea Ventures, PlaysOut, and KapKap will also participate to promote synergy within the Web3 ecosystem.The organizers stated: "'2026 Seoul Signal' aims to provide clear directional judgment for core participants in Web3. By combining frontline market execution experience with systematic research, we look forward to further promoting Seoul as an important hub for global Web3 innovation." After the event, K1 Research and Klein Labs will continue to deepen their cooperation, accelerating the discovery and implementation of high-quality global projects and providing long-term support for ecosystem development.Pre-registration for the event is now open, and interested participants are welcome to apply through the link below.Date: January 22, 2026 (18:30 – 23:00, Korean time)Location: 13 Dosan-daero 81-gil, Gangnam-gu, Seoul, People the Terrace (Cheongdam-dong)( Address Detail)Registration: Link

Generative AI startup Together completes $102.5 million Series A funding, led by Kleiner Perkins

ChainCatcher news, according to Decrypt, generative AI startup Together has raised $102.5 million in Series A funding, led by American venture capital firm Kleiner Perkins, with participation from NVIDIA and Emergence Capital. Other participants in the Series A investment include NEA, Prosperity 7, Greycroft, 137 Ventures, Lux Capital, Definition Capital, and Long Journey Ventures.It is reported that the funds will be used to improve its AI application cloud platform, invest in R&D, contribute to open-source AI, and enhance its infrastructure. Based in San Francisco, Together was founded in June 2022 and develops open-source AI cloud software. The team consists of veterans from Apple, ETH Zurich, and scholars from Stanford University, UC Berkeley, and MIT.ChainCatcher previously reported that AI development company Together announced the completion of a $20 million seed round, led by Lux Capital, with participation from Long Journey Ventures, Robot Ventures, as well as PayPal co-founder Scott Banister, OpenSea co-founder Alex Atallah, and Uniswap COO MC Lader. The funds raised will be used to build an open-source AI and cloud platform.It is reported that Together has established partnerships with decentralized infrastructure providers, open-source communities, and academic and corporate research labs, and has already released several AI projects, including GPT-JT, OpenChatKit, and RedPajama. Its goal is to help create open models that go beyond closed models, with open-source as the default way to integrate AI. Through research on distributed optimization, a dedicated cloud platform has been built for large models, which can effectively scale training and inference, with plans to open access to the platform in the coming months.
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