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DeepSeek 最新融资,最有意思的不是估值涨到了 515 亿美元 是梁文锋拒绝了谁,又选择了谁🧐🧐 阿里谈崩了,条件是「生态整合」。腾讯开价想拿 20% 股份,同样被拒。 中国互联网最厚的两张钱包,在梁文锋这里都吃了闭门羹。 原本传闻领投的国家大基金,现在退居第二。领投位置留给了梁文锋自己: 个人认购约 40%,开出整轮最大一张支票,把控制权牢牢锁住🔒 DeepSeek 自 2023 年成立以来从未接受外部融资(想起了 Hyperliquid 哈哈),把 VC 和互联网大厂一起挡在门外,不是因为不缺钱,是因为他们要的太多。 或许中国 AI 独立性真正的对立面,是商业巨头的生态并吞。

Agree with the first part and your point on content coins. They didn't work and we pivoted early this year. We messed up, time to turn the page. I disagree about the AI agents part though. Base has been focused on trading, payments, and agents (in that order). I think all three are inextricably intertwined - for instance to do payments you need FX (trading), agents will do lots of trading and payments as well. Most of the resources are going to trading right now fwiw. Maybe it doesn't translate externally right now, but that's the case. Let me give you a call on the last parts if you're open to chatting. Would be great to learn more.

9️⃣年,是每一次选择和信任塑造了今天的币安 感谢每一位与我们同行、共建币安的你💛 愿下一个故事,依然由我们共同书写! BUILT BY YOU. 我们希望,币安能始终值得用户选择💪#币安九周年








股市变赌场?🙃🙃韩国议员呼吁三星、SK海力士杠杆ETF退市 今日,韩国围绕单一股票杠杆 ETF 的监管争议持续升温。韩国国民力量党议员、前总统候选人安哲秀公开呼吁: 对跟踪三星电子和 SK 海力士的单一股票杠杆 ETF 采取包括退市在内的强力措施,并称韩国综合股价指数(KOSPI)「已经沦为赌场」。 安哲秀表示,目前流入三星电子和 SK 海力士杠杆 ETF 的资金规模已达 212 万亿韩元,两家公司合计占 KOSPI 总市值约 60%,高权重个股叠加杠杆资金放大了市场波动。 🚨今年以来,韩国股市已 31 次触发「边车机制」(程序化交易暂停),熔断机制启动 5 次,KOSPI 恐慌指数一度升至历史高位 90.8。 韩国于今年 5 月底推出首批本土单一股票 2 倍杠杆 ETF,旨在吸引高风险交易需求回流国内市场。但产品上市后,因每日调仓机制及流动性问题引发剧烈价格偏离。 6 月初,一只跟踪 SK 海力士的杠杆 ETF 单日上涨约 50%,而标的股票同期下跌近 8%,基金二级市场价格一度较净值溢价高达 86%,随后次日溢价迅速消失,ETF 反而大跌约 27%。

我对存储的看法 3 天前已经在小红书评论里说过了。 为什么跌?因为机构跑得太猛了,叠加杠杆资金扛不住被强平,进入了螺旋下跌的连锁清算。 我认为适当杀一杀杠杆资金长期来说是更健康的。



David Sacks just said something that cuts through one of the most popular narratives in tech right now and the data backs him up (Save this). Everyone has been saying open source is winning, token counts, download numbers, GitHub stars, DeepSeek's 700 million Hugging Face downloads, the momentum looks undeniable on the surface. But @DavidSacks is pointing at the metric that actually matters, where is the money going? Open source went from 19% of enterprise AI spend last year to 11% this year, closed models went from 81% to 89%. The a16z CIO survey, covering 100 verified executives at Global 2000 companies confirms the shift precisely. In January 2026, 36% of enterprises preferred closed-source models versus 30% preferring open-source, a gap that has been widening since March 2024. Average enterprise LLM spend has risen from $4.5 million to $7 million over two years, with enterprises expecting another 65% increase this year. That money is overwhelmingly going to OpenAI, Anthropic, and Google. Sacks' point about why this is happening is the most insightful part. Enterprises genuinely want to diversify off closed models, they want vendor independence, data sovereignty, and the ability to swap models freely. The reason they cannot execute is memory, context, and history. Once an enterprise deploys a closed model in production with agents carrying conversation history, context windows trained on company data, integrations built to specific API behaviors ripping it out and replacing it with open-source is extremely difficult. Open source is winning the popularity contest but closed models are winning the business.














