一道经典但能筛掉一批模型的题： 5 个人站成一列，每人头上戴一顶帽子，帽子颜色只有红、蓝两种。 每人只能看到前面所有人的帽子（看不到自己的，也看不到后面的）。 他们事先知道：5 顶帽子里红色帽子的总数是奇数（1 或 3 或 5 顶）。 现在从最后一个人（能看到前面 4 个人）开始，依次报出"自己头上帽子的颜色"。 每个人只能说"红"或"蓝"，不能说别的，也不能交流暗号。 问：他们能保证至少几个人猜对？最优策略是什么？ 拿这题去试 GPT-5.5 / Claude Opus 4.8 / Gemini 3.1 / Grok 4.3 / DeepSeek V4 / Qwen3.7-Plus / Kimi K2.6 / GLM-5.1 随便吧 回来一楼对答案

网盘限速这事儿，我真的骂不动了。 百度阿里夸克迅雷……一个个把你下载速度按在地上摩擦，几十兆宽带硬生生活成二十年前拨号上网。不开会员？那你等着吧，下个2G的电影能泡三杯茶。 但阿台现在负债状态，能白嫖绝不交钱👇 最近挖到一个开源工具 LinkSwift，零成本，直接安排： ✅ 八大网盘直链解析，不用装那些臃肿客户端 ✅ 百度/阿里/移动/天翼/迅雷/夸克/UC/123 全搞定 ✅ 免费、无广告，学习资料直接速度拉满 不是广告，纯自用。省下的会员钱够我吃两顿拼好饭了。 🔗github.com/hmjz100/LinkSwift

JUST IN: Andrej Karpathy, a top AI scientist at Anthropic, is reportedly barred from accessing the company’s most advanced AI model because he is not a U.S. citizen.

Ok, so here is my take on the Fable ban, sovereign AI, Sarvam, etc. The event is interesting as it has implications from many perspectives. For AI users, it is clear that you should not confuse access with ownership, or adoption itself as advantage. And if the most significant tech differentiator you are leveraging has external control loops, then you have to accept you are vulnerable. For AI talent, it is now a precedent that you would be *seen* aligning to national interests more than company interests. And even if its just a whim for now, this trend will be hard to reverse as the world gets more automated… For AI labs, their offerings will be stratified - general purpose AI would be available as utility, but frontier AI would be gated. This is a fantastic business model for labs - *democratized* AI sucks in all the data liquidity of the world which is locked in higher margin frontier offerings. I think for the world to be a better place, all three of the above are bad vectors. We need to have more countries and companies owning their own destinies. And in the post AI world, that means being able to use and improve AI systems within their own perimeters - what one may call Sovereign AI. At Sarvam, Sovereign AI in India was the founding thesis a couple of years back, and continues to remain the core operating principle. From our vantage point, it is super clear that India will build, leverage, and create massive business value and societal impact with sovereign AI. The following is precisely how we at Sarvam are contributing to make that happen.

基于 Serenity 最近12个月的3300条推文，我做了一个完整 AI 产业链图谱，可以非常清晰看到公司彼此关系，谁在瓶颈上。 已经发到 Wizz AI 情报：t.me/aihourly 在频道置顶里，点击“打开图谱”随时可以看。

Cool new open-weight model by Cohere: a new lightweight 30B open-weight model for agentic coding tasks. This one builds on Command A using the parallel transformer design. Interestingly, even though it's almost half as big, it almost doubles the number of layers. Also, they say that it's been specifically developed for agentic coding, not just coding. I.e., the evaluation is inside a workflow, not just on a single prompt-to-code-answer task. For Terminal-Bench, the model has to use a terminal, inspect the environment, run commands, read outputs, etc. For SWE-Bench the model works on real GitHub-style software issues where it has to understand the repository, find relevant files, make a patch, pass tests, etc. SciCode and LiveCodeBench are more traditional because they mostly test whether the model can produce correct code for a specified problem. Sure, this still requires reasoning, but it's more like “Implement a numerical routine to compute a scientific quantity from given equations and inputs.” which doesn't require any interaction with the environment, existing files, tests, etc. The focus on the agentic code benchmarks is probably why it's far ahead of Gemma 4 on those. Overall, it's pretty competitive although not quite Qwen3.6-level performance.

Biz kızlar düşündüğünüzden daha güçlüyüz

Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere. GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans. docs.z.ai/devpack/latest-mod… As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks. API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License. The future of AI is open, and it belongs to the people.

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Mythos / 神话（μῦθος） • 古希腊语词源 • 含义：神话、传说、神圣叙事，通常带"危险/禁忌/超越凡人"的意味 • 在西方语境里，Mythos 类故事往往涉及神祇、命运、不可触及的力量（普罗米修斯偷火、潘多拉魔盒） Fable / 寓言 • 拉丁语 fabula → 古法语 fable • 含义：寓言、故事，带"教化/道德教训"的意味 • 经典例子：伊索寓言（Aesop's Fables）、拉封丹寓言——通过故事传递道德规训 为什么 Anthropic 这么命名 我猜： 1. 跟 Sonnet / Haiku / Opus 是另一条线 • Sonnet / Haiku / Opus 是音乐 / 诗歌主题——优雅、艺术、人文 • Mythos / Fable 是叙事 / 神话主题——更宏大、更"AGI 级别" • 这是在为下一代旗舰开辟新命名空间 2. 暗示能力跃迁 • 从"音乐作品"（Sonnet）升级到"神话叙事"（Mythos） • 命名本身在说："这一代不只是模型，是能讲述完整世界的存在" 3. 隐喻 safeguards 的本质 • 神话是危险的、禁忌的、不能随便讲的 • 寓言是被驯化的、带教训的、可以广泛传播的

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Claude Fable 5 has been out for a couple of days. Some projects people have already built with it:

Bybit 这次和 Kraken 本质上是同一类东西，都是 xStocks 这套“SpaceX IPO tokenized access”。 不是直接买 SpaceX 股票。 主要区别在平台规则： 相同点 都走 xStocks / Payward Services / Backed Assets 这套 tokenized equity 框架。 都是 IPO 前提交认购/兴趣，分到以后拿到的是 SpaceX 的 tokenized shares / xStocks。 都不是你直接进 SpaceX 股东名册。 都没有普通股票股东权益，至少包括没有投票权；Bybit FAQ 还明确说 xStocks 不是直接持有底层公司股票，没有对底层公司资产的法律请求权。 都不保证分配，没分到或未用资金会退。 都预计 6 月 12 日 上 Bybit/Kraken 的现货市场交易。 不同点 Kraken：叫 IPO Access via xStocks，明确写 ticker 是 SPCXx，在 Kraken App 里提交 interest。Kraken 明确写了 offering price inclusive of a 5% spread，也就是按发行价再含 5% spread。 Bybit：叫 IPO Express，页面/公告写的是用 crypto 参与，支持资产如 USDC，资金会锁到分配结束。Bybit 公告里我没看到像 Kraken 那样明确写 “5% spread”，这个要以下单页实际显示为准。 资格限制不同：Kraken 写的是 EEA 和多数地区可用，不支持美国、英国、加拿大、澳大利亚。Bybit 反过来明确写 不面向 EEA，而且只给 VIP / Pro 用户，普通 Bybit 用户可能看得到入口但未必能参与。 分配机制口径不同：Bybit 的 IPO Express 通用说明写按认购需求 pro-rata 计算；Kraken 写分配由承销商决定，可能 pro-rata、随机、分层或关系分配。实际都不是你想买多少就一定拿多少。

🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced! 🔷 Improved coding & agent performance over K2.6: 21.8% on Kimi Code Bench v2, 11.0% on Program Bench, and 31.5% on MLS Bench Lite. 🔷 Reasoning efficiency: Less overthinking, with 30% lower reasoning-token usage compared to K2.6. 🔷 Long-horizon coding: Improved instruction following, higher end-to-end coding task success rates. ⚡️ 6x High-Speed Mode coming soon! 🔌 Available today via Kimi API and Kimi Code. 🔗 Kimi Code: kimi.com/code 🔗 API: platform.moonshot.ai

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