Elliot 艾略特 @ElliotChen

@jammer3k let’s do it!

Honestly, I can't wait for Google to be back in the frontier race for real. Gemini 4 Argon is the first real shot in a while that isn't another Flash update. The spec I care about most: output limit went from 64K to 1M tokens. That's not a chat feature. That's for agents that run long jobs and need to write a whole codebase or a full report in one go without stitching. It's also launching to cyber defenders first, with the cyber guardrails off for them, before developers get it. Pricing is aggressive too, $2 in and $10 out per million tokens for now. But Argon? Every time I read it I see Drogon from Game of Thrones. Close enough to sound like a dragon, and it turns out to be a noble gas. Google, you had one job. Give us the dragon.

Sundar Pichai @sundarpichai

2 hours ago

Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from

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To everyone asking their personal AI to build their software: your agent can write the code now. That was never the hard part. Something like 40% of startups die because nobody needed what they built. Not because the tech didn't work. So before you spin up another agent, go talk to ten people who might actually use it.

@0xSky99 evermind.ai/everme

我们有个产品刚好可以一键共享所有 agents 的记忆～

向阳乔木 @vista8

22 hours ago

OpenAI 的龙虾来了，名叫 dot，入口地址: chatgpt.com/dots/ 2026 的一年是个轮回，从龙虾爆火，现在又回归龙虾形态，纷纷都在做云端 Personal Agent： ① Meta 的叫 Muse ② Manus 的叫 Cue ③ OpenAI 的叫 Dot 还有传言国庆后上线的豆包Personal Agent，已经上线在疯狂迭代的 TodayAI。

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Raven’s 🐦‍⬛ paper is #1 on @huggingface Face Daily Papers today. I’m happy people are seeing it, but I’m even prouder of the work behind it. @evermind Raven wasn’t a repo we put together with a few prompts. We’ve spent a lot of time on a hard technical problem: how to build specialist agent harnesses, coordinate them across tasks, and carry what they learn into the next run. The code is open, and the paper lays out the architecture and results. Read it, run Raven, and tell us where it breaks. A ranking doesn’t prove we’ve solved the problem. But it’s encouraging to see people take the work seriously. Huge credit to the team.

Yafeng Deng @LongTermMemoryE

14 hours ago

The response to Raven these past two days has blown us away. Thank you! 🐦‍⬛ Clearly the ideas resonate: • One harness can't be best at everything, so Raven turns its own specialist harnesses and the agents you already use (Claude Code, Codex and more) into one team • RSI goes

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Spent the last few days in San Francisco meeting a lot of brilliant folks. One of them gave me a tip for getting funded, straight from an insider: Act like you don't care. Act like it's easy. Even if you've been grinding days and nights to get here. Shh. You didn't hear it from me.

@sharp_ai_lab @evermind @AWSstartups @louiselu007 bro 的照骗 skill 还不赖。

.@EverMind's Yellow meets @AWSstartups's Yellow Thanks to AWS startup for the invite. @louiselu007 and I had a great time at the AWS Startup Builder event at the AWS Builder Loft in San Francisco. The room was full of people talking about agentic AI and agents, and of course a lot of debate about Chinese frontier models versus US frontier models. It made me realize how lucky I am to speak both Mandarin and English. I met native English speakers there who are really eager to learn Chinese. I spent ten years in the US and loved it. I got my bachelor's there, built my skill set, met a lot of interesting people, and worked there for six years. I loved the diversity, and burgers, fries, and pizza are still my favorites. Then I moved back to China, where I grew up, where my parents and friends are, and where I met my beautiful wife. I love living there too. I was lucky enough to keep working as a developer, then moved into AI, and now I'm doing DevRel at EverMind. So to me, the AI race isn't only a competition between two countries. It's also a chance to bridge the cultures and languages between them. For years I've wanted my American friends to come visit China. The cities are beautiful and the people are friendly, and honestly, it looks a lot different from what you see in the news. Come visit. I promise you won't regret it.

@justsyun @evermind @AWSstartups @louiselu007 那得给老东家一个惊喜 ✌️

@app_sail @evermind @AWSstartups @louiselu007 谢谢彦祖

@xiangyuli @evermind @AWSstartups @louiselu007 谢谢彦祖

OpenAI launched Dots today, and I think it closes the loop on this year. Look at how we got here. OpenClaw kicked it off: an always-on agent running on your own laptop or server, talking to you through the chat apps you already use. Hermes Agent came next. It's also open source and self-hosted, but it remembers you across sessions and writes its own skills as it goes. Manus took the other road. You hand it a goal, and it goes off and does the work on its own cloud computer. Then Meta put Muse on phones and WhatsApp. And today OpenAI shipped Dots, each one with its own cloud computer, plugged into thousands of apps and learning your preferences over time. That's not an agent race anymore. It's a personal AI race. My guess is a lot of these labs had personal agents sitting in the lab for a while. Then Muse hit the top of the app charts, and three weeks later OpenAI ships Dots. This is the same industry that keeps telling us AI progress needs pacing. And to be fair, OpenAI did just pull a model this week over safety. But when a competitor takes the personal agent spot, the pacing talk goes quiet fast. Nobody wants to be second in this one. And that's the part that worries me. The product that needs the most trust is the one getting rushed out the door. Your email, your calendar, your messages, maybe your bank login, all running on a machine someone else owns. You can run it yourself and keep your data, but then you're the ops team. Or you let a big company run it and it just works, but they're holding your whole life. Even Meta says the version of Muse it can't see inside is coming later this year. So here's my bold take: personal AI isn't solved until private data is solved. And private data isn't solved until the company running your agent provably can't read it.

@Jevik_AI @evermind @AWSstartups @louiselu007 我的 tony 休假去学 AI 了

@Bin_Wangg @evermind @AWSstartups @louiselu007 谢谢彦祖

@dongxi_nlp EverMind Labs

@canghe 我们👀

Alexandr Wang is way underrated. When Zuck made him Chief AI Officer, half the timeline said "the data labeling guy? really?" Now the data labeling guy shipped Muse, and he's been promoting it like his rent is due. You can't open this app without seeing it. Muse even got Kim Kardashian's butt this week. Credit where it's due. Bro is cooking. And Zuck deserves some too, for betting on him when the timeline wouldn't.

Wild week in AI. Muse somehow got Kim Kardashian's butt. Grok Bot is still out there doing its thing, and not because of Elon, because of poteto. Manus shipped Cue. OpenAI's personal agents are almost here. World Labs is joining AMD. And yet the biggest news of the week, at least in my house, is that EverMind is releasing Raven 🐦‍⬛