MCP allows you to build integrations for AI models.
Deploy your Model Context Protocol (MCP) server on Vercel and connect to it from clients like Claude, Cursor, and more.
Learn more and get started with our updated template.
https://t.co/cWhdThSFkC
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This week we had @FranklinBi and @darylX24 from @PanteraCapital and @npclabs_org on the
@tokenwarrant
They chatted with Mike and Regan about the history of crypto gaming, Base's role in it, and Pantera's view on the space
https://t.co/GIawvRI9bj
WTF are service chains & has @b3dotfun cracked the code for fragmented liquidity?
Time stamps below👇
We sat down with @seangeng, co-founder & CTO at B3, to chat about L3 density, the need for app-specific infra for scale, & the future of service chains.
00:48 What games are you playing
02:09 What is L3 Density?
05:42 What does this mean for B3?
08:55 Solving for fragmented liquidity and cross-chain communication?
15:06 What is B3 building in-house vs. outsourcing?
16:50 Bridging is still a concern
18:21 The service chain vision - creating instanced L3s
22:01 How does B3 stand out and grow to millions of users?
25:52 Outro
YT, Spotify, etc., at https://t.co/5tsZsK3Umj
DeepSeek火出圈的这十几天,其实也是噪音最多的一段时间,说实话大部分的讨论成品都有种加班硬赶KPI的味道,是人是鬼都在掰扯,有留存价值的屈指可数,倒是有两期播客让我听后受益匪浅,非常推荐。
一个是张小珺请来加州伯克利大学AI实验室博士潘家怡对DeepSeek论文的逐句讲解,接近3个小时的高密度输出,非常能杀脑细胞,但杀完之后分泌出来的内啡肽,也含量爆炸。
另一个是Ben Thompson关于DeepSeek的3集播客合集,加起来1个多小时,这哥们是News Letter的开创者,也是全球最懂技术的分析师之一,常年旅居台北,对中国/亚洲的近距离洞察比美国同行要高很多。
先说张小珺的那期,嘉宾潘家怡当时是在读完DeepSeek的论文之后,最快开发出了小规模复现R1-Zero模型的项目,在GitHub上已经接近1万Stars。
这种薪火相传式的知识接力,其实是技术领域理想主义的投射,就像月之暗面的研究员Flood Sung也说,Kimi的推理模型k1.5最初就是基于OpenAI放出来的两个视频得到了启发,更早一点,当Google发布「Attention Is All You Need」之后,OpenAI立刻就意识到了Transformer的未来,智慧的流动性才是一切进步的先决条件。
所以大家才对Anthropic创始人Dario Amodei那番「科学没有国界,但科学家有祖国」的封锁表态大为失望,他在否定竞争的同时,也在挑战基本常识。
继续回到播客内容上,我还是试着划些重点出来给你们看,推荐有时间的还是听完原版:(1/n)
🔑 #BuildKey#DeSci season continues! @StadiumScience_#BuildKey goes live on Jan 3.
Stadium Science: a pioneering prediction market for accelerating research, backed by Polychain Capital, dao5 & more.
🎁 0.5% of Stadium Science token allocated: https://t.co/vkdQguloYh
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