Workflow
Sonic
icon
Search documents
X @Andre Cronje
Andre Cronje· 2025-08-13 11:30
RT miumiu.sonic 🐈‍⬛✨ (@miumiuqin)guys, what’s Sonic? https://t.co/s7Oc6beupT ...
X @Ammalgam (δ, γ)
Ammalgam (δ, γ)· 2025-08-07 21:46
RT Andre Cronje (@AndreCronjeTech)Why build anywhere other than Sonic when Fee Monetization exists?- 90% network fee share to apps- Protocol-level, no middlemen- No token emissions, no rent-seeking- Ship something people use, get paid every TXSonic. ...
X @Andre Cronje
Andre Cronje· 2025-08-06 21:55
SonicGMSONIC (@0xgmsonic):BIG NEWS:Sonic Labs has acquired the Blockbytes YouTube Channel and has donated it to @0xgmsonic! This is a HUGE gift to fuel Sonic education, exposure, and ecosystem coverage 🎯Thread 👇 ...
X @Andre Cronje
Andre Cronje· 2025-07-31 14:30
RT Sonic Eco (@SonicEcosystem)120M+ transactions on Sonic.All powered by $S. https://t.co/Q5bFnudI2y ...
X @Andre Cronje
Andre Cronje· 2025-07-20 16:46
Earn more on Sonic.Dhee.eth/nft 🦇🔊 CHAIN ABSTRACTION (@DheerajShah_):Bungee has generated more fees than Sonic's own bridge 👀FeeM at play. https://t.co/n1JnuKGcB3 ...
X @Andre Cronje
Andre Cronje· 2025-07-19 17:08
RT Sonic Labs (@SonicLabs)Fee Monetization on Sonic.Apps have now earned over 1.8M $S.🧵 At its core, it’s a new model for sustainable income on an L1. https://t.co/D9VGoYEYS3 ...
X @Andre Cronje
Andre Cronje· 2025-07-16 13:40
RT Sonic Labs (@SonicLabs)How do you turn research into a billion-dollar network?@DrSonicScholz and his team built Sonic, each line of code reflecting years of academic lessons.🎓 From academia to blockchain🧬 Origins of Sonic's architecture🧠 Future-proofing SonicVM/DB🌍 Real-world use beyond DeFi https://t.co/WtxFpFPdX8 ...
Cartesia: 3 个月融资 9100 万美元,从 Transformer 到 Mamba 重塑语音 AI
海外独角兽· 2025-04-03 12:04
作者:linlin 编辑:haina 2025 年 3 月 11 日,语音生成初创公司 Cartesia 宣布完成 6400 万美元 A 轮融资,距其 2700 万美元种 子轮融资仅过去不到 3 个月。本轮融资由 Kleiner Perkins 领投,Lightspeed、Index、A*、Greycroft、 Dell Technologies Capital 和 Samsung Ventures 等跟投。Cartesia 还同时推出了其旗舰产品 Sonic 2.0, 系统延迟从 90 毫秒缩短至 45 毫秒,为语音 AI 领域高效、实时且低成本的多模态交互提供了新动 力。 Cartesia 的核心团队均来自 Stanford AI labs,包括 Karan Goel、Albert Gu、Arjun Desai、Brandon Yang 四位校友及其共同导师 Chris Ré。团队共同的研究方向在于 SSM(状态空间模型)。从 S4 到 Mamba 的 SSM 系列研究,以线性时间复杂度,为解决 LLMs 主流架构 Transformer 在上下文长度的 固有局限提供了潜在解决方案,意味着更快的生成速度、 ...