我靠:Claude 把他丢失的 BTC 找回来了。 价值近 $400k。 也就是说他现在大概能负担一个高强度的 Claude Code 使用周末了。 太疯狂了。
HOLY FUCKING SHIT OMG CLAUDE JUST CRACKED THIS SHIT, THANK YOU @AnthropicAI THANK YOU @DarioAmodei NAMING MY KID AFTER YOU 😍 blockchain.com/explorer/addr…
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我靠:Claude 把他丢失的 BTC 找回来了。 价值近 $400k。 也就是说他现在大概能负担一个高强度的 Claude Code 使用周末了。 太疯狂了。
HOLY FUCKING SHIT OMG CLAUDE JUST CRACKED THIS SHIT, THANK YOU @AnthropicAI THANK YOU @DarioAmodei NAMING MY KID AFTER YOU 😍 blockchain.com/explorer/addr…


与 dAI 团队进行了很棒的交流,期待接下来的进展! 欢迎来到上海!
dAI <> @MiniMax_AI one of the leading teams in open source AI hosted us in Shanghai we discussed the infra we’re building for the open agent economy, multiagent AI, security grateful to meet head of eng @SkylerMiao7 - he shared impressive work on agent orchestration & feedback
Will be giving a talk titled “You should do RL for long-running agents (and use RLMs)” at 4pm on Sat at AI Engineer Singapore. Excited to see you all!
Proud to announce the release of the SenseNova U1 Tech Report — together with the a new set of model weights based on MoE. We hope this open release promotes transparency, reproducibility, and further innovation across the AI community. Huge thanks to the team for making this possible. 🚀
BIG one for devs today. Introducing the Notion Developer Platform: - Notion CLI, ntn (Notion in your terminal) - Workers (run code on Notion's infra) - Database sync (any data source into Notion) - Agent tools (build any workflow) - Webhook triggers (trigger Notion from any app) - External Agents API (bring any agent into Notion) - Notion Agents SDK (use Notion Agents anywhere) - …and a bunch more API improvements And soon, you won't need to be a developer to build on Notion. Your agent will be one for you. Video
1️⃣原诉讼文件链接:storage.courtlistener.com/re…
南加州联邦法院昨日立案,原告代表所有美国 ChatGPT 用户起诉 OpenAI,指控其网站代码中嵌入了 Facebook Pixel 和 Google Analytics。


推荐理由:诉讼文件披露了埋点与数据传输路径,为观察免费 AI 产品如何收集和使用用户信息提供了一个具体案例。
Gemini Spark 👀
宝玉老师基于卡比的wx-cli写了一个微信群聊总结Skill。 安装成功,正在总结下AI产品蝗虫今天的消息。 wx-cli不错啊,解密本地的微信数据库,甚至连SIP都不用关,如果报错,可以发给Codex或Claude Code解就行。 卡比的Cli:github.com/jackwener/wx-cli 宝玉老师的Skill:github.com/JimLiu/baoyu-skil…
感谢推荐! 在 PixVerse V6 中,我们希望动作、声音、镜头行为和冲击感都像是属于同一个物理世界。
PixVerse V6 is starting to blur the line between AI generation and real cinematography. Native Audio. Directional Cinematography. True-to-life physics. The movement, impact, camera behavior and environmental reactions feel far more grounded now. This latest release by @PixVerse_ is pushing AI action scenes into a completely different tier. Prompts👇🏾 Video
项目地址:github.com/Genymobile/scrcpy…
Cursor这公司真的把我整懵了, 长这么大第一次见,主动给用户送$10000额度的公司👍 之前他们同事私信我,说要送我一万刀的使用额度, 我那几天忙到飞起,隔了快一周才看到消息回过去, 当时我心里已经默认这事黄了, 换任何公司都不可能再理你了🤣 结果今天,他们另一个同事专门追过来找我, 说之前的同事交接了,直接给我开充足额度+Ultra全权限(◍•ᴗ•◍) 真的挺感慨的兄弟们。°(°¯᷄◠¯᷅°)°。 以前的SaaS公司, 晚回一天名额就没了, 过三天销售直接把你拉黑。 现在的Cursor, 追着你给权限,追着你要反馈。 好的产品会自己说话, 好的团队会追着用户跑。 Damn, 这才是做产品该有的样子啊, 我现在要把所有代码工作全迁过去了,真的没话说。 我觉得以后写代码我再也不会用别的编辑器了吧 hhh 太感谢了兄弟@shubgaur ,真的没想到过了这么久你们还会专门跟进。 @cursor_ai 是我这两年用过最惊艳的开发工具,没有之一。 能得到你们的支持真的很开心, 接下来我会深度使用Ultra版本, 把所有遇到的问题和优化建议都整理给你们。 再次感谢整个Cursor团队! #Cursor #AI编程
SenseTime 的 SenseNova U1 经 Bijan Bowany 在 ComfyUI 上实测后获得认可,展示了信息图、图文交错和漫画三类生成能力。
官网 biji.com/note Skill:clawhub.ai/iswalle/getnote Cli:github.com/iswalle/getnote-c…




这个模型还是挺不错的。 就是现在基本上所有第三方AI Chat客户端都不支持音视频上传解析。 无论CherryStuido、Chatwise还是其他,不知道现在有没有了。
前段时间参与了 Doubao-Seed-2.0-lite 0428 内测。 这个版本升级,增加了音频理解,能同时支持图片、视频、音频、文本四种输入,成为豆包大模型家族首款全模态理解模型。 除了全模态理解,据说 Agent、Coding、GUI 能力这次也都有明显提升。 拿 API 做了一些测试,分享几个场景:前端动效复刻、视频Hooks建议、字幕识别等 案例见后续 Thread
How does Exa compare to Google for training LLMs to search? In this blog post, we find that LLMs using Exa during reinforcement learning reach higher performance with 70% less training compute. exa.ai/blog/rl-search-outcom… Video
现在到7月13日放心用,把想做的项目、实验全甩进去, 7月13日之后,交互继续用Claude Code,自动化要么接受涨价,要么开始测OpenAI Codex当备胎。
Claude Code weekly limits are increasing 50%, now through July 13. Live now for all Pro, Max, Team, and seat-based Enterprise users.
在另一场工作坊中,讨论转向了 AI 视频模型、创作流程,以及生成式 AI 如何重塑一线创作者的视觉叙事方式。
这场对话涵盖了很多内容: AI 演示变成人们真正使用的产品的那一刻,让智能体从单任务助手走向可靠生产工作流需要什么——以及将来需要什么,还有在实现 AGI 之前我们需要弥合的能力差距。
Davy 昨天代表 PixVerse 出席了 MU SHANGHAI 活动,与来自 OpenClaw🦞 的 @vincent_koc 以及千问和蚂蚁灵光的负责人一起主持了一场关于 LLM 的讨论。


🧪 10M Token Bill Challenge · How to Enter Prize: 30 winners, each receiving 10M OpenRouter credits Timeline: Opens May 7 · Closes May 17 · Winners announced May 20 Submit on X Quote-retweet this thread with your token bill and a one-line takeaway, tag @OpenSquilla, and use #10MTokenChallenge. Tracks: 🥇 Task Reproduction: Pick 3 out of 5 official reference tasks — build a web/mini app/plugin, create a data dashboard, generate an infographic, make a slide deck, or complete a research analysis — and compare OpenSquilla vs another agent 💰 Best Savings Case: Use a real task from your daily workflow and show who saves more while maintaining quality 🐛 Quality Bug Report: Submit a high-quality GitHub issue Comparison rules: ✅ Leverage OpenSquilla with cheap tokens to outperform Opus 4.7 agents ✅ Run each task at least 3 times per side ✅ Record input tokens / output tokens / $ cost / pass or fail ✅ Include your prompt, result table, quality notes, and raw logs We are moving beyond token burning. We incentivize cost-effective, useful, and reproducible agent outcomes.




开源项目 OpenSquilla 通过智能模型路由加本地向量检索来节省 Token,简单问题用便宜模型、复杂任务自动切换到更强的模型,路由在本地完成不消耗 Token。




We released experimental MTP Qwen3.6 Unsloth GGUFs! Qwen3.6 27B MTP now runs at 140 tokens/s. Qwen3.6 35B-A3B MTP gets 220 tokens/s generation on a single GPU. Qwen3.6 27B and 35B-A3B have >1.4x speed-up over the original GGUFs without any change in accuracy. Guide + GGUFs + Benchmarks: unsloth.ai/docs/models/qwen3… In terms of average speedup, we see a 1.4x for dense models at draft tokens = 2 and for the MoE around 1.15 to 1.2x. We do not recommend more than 2 draft tokens because the acceptance rate drops precipitously from 83% to 50% with 4 draft tokens, and the forward passes for MTP become less beneficial. Use `--spec-type mtp --spec-draft-n-max 2` Thanks to Aman for github.com/ggml-org/llama.cp…!
推荐理由:原文给出单 GPU 实测速度、加速比与 draft tokens 甜点,可据此判断本地 30B 级模型的部署空间。
一个模型。理解与生成文本和图像融为一体——不是拼接,不是补丁。 ✨感谢 @SarahAnnabels 带来的精彩展示。清晰的编辑式排版让故事跃然眼前——这就是 NEO-Unify 的实际表现。🙌
Instead of stitching models together, SenseNova U1 runs everything inside one unified system. Built on NEO-Unify, it treats text and images as part of the same space. No switching between components. No translation gaps. Just one model that understands and creates at the same time.