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Thailand's Deputy Prime Minister and @mofthailand Minister Ekniti Nitithanprapas calls the 2026 Annual Meetings the "Olympics of global finance." This October, Thailand hosts finance ministers and central bank governors from around the world.

如果chatgpt和claude被迫降价与DeepSeek竞争（$0.14/$0.28），他们的估值变化： OpenAI：从8520亿降到约3000–5000亿（跌40-65%） 
Anthropic：从9650亿降到约2500–4500亿（跌50-75%） 微软，亚马逊，英伟达，软银等重度或套娃投资者将被带崩导致美股崩盘。 这就是AI泡沫的根源

马斯克的SpaceX计划在太空部署AI卫星“STARMIND”（星脑） 单颗卫星翼展75米，高30米，最高提供250kW电力。卫星搭载英伟达Rubin GPU和英伟达Vera CPU，卫星之间通过激光互联，计算结果通过星链发送到地球。卫星运行在太阳同步轨道，24小时太阳能不间断。 在美国，太空算力中心的建设效率可能比陆地更高，不用电网审批、不用土地审批、不用考虑散热耗水、没有周边社区的民众反对，纯纯就是技术和资本问题。 这事只有马斯克能干成，卫星制造、可重复的火箭发射、星链网络，都只有SpaceX有完整的体系。能成为荒坂集团的，目前只有SpaceX。 官方介绍：

Okay, the @VulcanBench results for Qwen3.8-Max are in, and it is not what I expected. First, for anyone new to VulcanBench, here's a quick TL;DR on the eval suite: 23 frontier-hard software engineering tasks taken from real merged OSS PRs, run in a Docker sandbox, 3 runs per task across all three of its effort levels. No puzzles, no random abstract stuff, all real things engineering teams would do with these models. It looks like Qwen3.8-Max has a major overthinking problem, it uses a LOT of tokens and is very slow, period, no other way to see it. My cost to run this benchmark was $126.25, to run the exact same eval suite with DeepSeek V4-Flash was only $13.60. This makes Qwen3.8-Max an insanely expensive model. The tasks Qwen genuinely can't solve fail at every effort level, extra reasoning didn't help. The regression is almost all in work it already handles: six tasks that low solves every single time account for 83% of the 26-point drop, three of them collapsing to zero. It's not losing the hard problems. It's losing the ones it already knows how to do. Since Qwen3.8-Max hit a lot of wall clock budget caps, I thought I'd share more about this. - VulcanBench caps both steps (50–200) and wall clock (5–60 min), each scaled by repo size. - This is aligned with how comparable harnesses bound agents, DeepSWE caps rollouts at 100 environment steps, sitting right inside my step range; Terminal-Bench enforces a per-task wall clock; SWE-bench Verified scaffolds typically allow 20–60 min per instance with 250–350 step limits. - Every model on my chart gets the identical budget, and Qwen is the slowest model I've tested at 20–25 min/task. Soooo... Alibaba positions Qwen3.8-Max as trailing only Claude Fable 5. But on the kind of real coding work engineering teams would actually throw at it, under a fixed budget, its best setting lands mid-pack and its default lands last, so common. If you want to optimize for accuracy, Grok 4.5 is the move. If you want accuracy per dollar, DeepSeek V4-Flash is hard to beat, heck it's 10× cheaper than Qwen and you get higher accuracy. Qwen just isn't in the game at this point, this is not a model I could see engineering teams using for daily coding work.

说出来可能没人信。啥也没干，被空投 1300 刀。 前几天在求职，被 香港王富贵@fugui8 看到了，直接叫我留了个地址。今天凌晨通知叫查看一下钱包，好家伙，直接送了 25000 个AIW3 ，当然是第一时间卖出了。 因为我根本不知道@AIW3_official 是干啥的。有懂的大哥可以给我普及一下，难得一见的有钱任性的项目方了。 刚翻了一下富贵的推特，好像是 @airkin_ 老板送我的。特此感谢了。这种良心项目方不多了。 既然都是天上掉下来的，那么见者有份。抽30个 10 U , grok 开（5 日晚上 21 点开）。

一架退役的波音737被搬到巴厘岛约150米高的悬崖上，改造成拥有两间套房的豪华别墅，配备无边泳池、直升机停机坪。 别墅由俄罗斯企业家打造，旺季大约5000美元以上，淡季起码也要2500美元。 以体验的唯一性而言，价格真不算贵。

刚刚被X自动扣费84美元续费Premium会员，还以为信用卡被盗刷了呢，看来马斯克之前说的“拥有超过 2500 名经过验证的订阅者关注者的 𝕏 账户将免费获得 Premium 功能”是骗人的了。