

Introducing newsliquid-flash-1.0 Our new specialist model built for real-time market news triage. It ranks #1 on the News Impact Benchmark v1, delivering an industry-leading 13.290 bits/s information rate with just 140.1 ms mean latency.
Cryptoxiao
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@cryptoxiao
Founder Of @6551News & @newsliquidX 正心正念 无限进步 https://t.co/VieApomnLL


Introducing newsliquid-flash-1.0 Our new specialist model built for real-time market news triage. It ranks #1 on the News Impact Benchmark v1, delivering an industry-leading 13.290 bits/s information rate with just 140.1 ms mean latency.

目前能用的RWA就是tradexyz,无论是深度还是交易体验目前都是最好的。不得不佩服,相比于一众友商上的spacex,openai,Anthropic,trade显然是跟着短期市场的热点来上pre-ipo,cbrs很符合当前芯片热的市场特征,跟友商做差异化,14号cbrs的波动会非常大,而crypto只此一家能交易。很聪明的listing HYPE我几乎卖完了,换成了美股的purr,在美股持有purr的体验非常好。也几乎是目前表现最好的财库公司,相比于其他财库公司,似乎持有hype的purr可以用hype做更多事情。


Honored to have NewsLiquid's technical advisor @BoxMrChen on stage yesterday at ClawCon Shanghai × muShanghai, hosted by @clawcon — sharing our thinking on the news paradigm in the agent era. News is no longer something humans read. It's a real-time signal stream that agents trade on. Old: Read → Think → Click [Minutes of latency] New: Detect → Decide → Execute [< 200 ms] When the consumer flips from human to agent, the stack flips: · Format: Articles → Structured signals · Distribution: Feeds → API + Skills · Value: Clicks → Executable trades That's the event-trading infra Newsliquid is building.






