DeepSeek核心工程师长文刷屏:《我不得不把才华埋葬在昨天》
Introducing System One Models and Jev
Test-Time Unlearning via Sparse Autoencoder
Self-reported archetypes and behavioral failures in Large Language Models
Urgent calls from OpenAI, Anthropic for an AI slowdown fall on deaf ears with Trump, Xi ahead of next week’s meeting
Concerns about AI safety are reaching a fever pitch in the U.S. after a X post by a former Anthropic researcher went viral, claiming the technology could kill all of humanity by the end of the decade. In response, the CEOs from OpenAI and Anthropic have reiterated their calls for the U.S. to coordinate with China to slow and pace AI development.
OpenAI CEO Sam Altman even tried to appeal to the egos of the leading figures, telling Fortune in an interview Friday that he believed U.S. President Donald Trump and Chinese President Xi Jinping could win the Nobel Peace Prize if the two leaders struck a deal on AI safety.
But the idea of an AI slowdown seems to have fallen on deaf ears with President Trump and President Xi, who are set to meet on Sept. 24. Both have rejected the idea.
Trump said “the only controls or ‘guardrails’ the U.S. needs is a STRONG AND SMART (High IQ!) PRESIDENT” in a Sept. 14 Truth Social post. The same day, China’s Foreign Ministry Spokesperson Guo Jiakun called the current discourse in the U.S. “fear-mongering” that “will only hamper efforts toward sound global AI governance, which serves no one’s interest.”
In China, the calls for a slowdown have also come off as an attempt by the U.S. to maintain its leading edge, as it has tried to do by limiting the export of advanced AI chips to China.
“Xi is unhappy with recent U.S. moves to contain Chinese advances in AI, robotics, and drones,” said George Chen, Partner and Chair of Digital Practice, The Asia Group. “For Xi, AI is the new internet — a once‑in‑a‑lifetime chance to reshape the technological balance of power. China does not need U.S. permission to accelerate or decelerate its AI investments; Xi will pursue his own agenda.”
Trump echoed Xi in his Truth Social post, saying, “Whoever wins AI, wins!”
The leaders are expected to begin discussing AI safety when they meet, but any kind of agreement between the countries is “a long way” off, according to Paul Triolo, global technology policy lead at the advisory firm DGA. Xi wants to have a “serious dialogue on frontier AI model safety,” Triolo said, but the two countries have yet to “establish a baseline level of agreement on things like the role of government, [and] how and which models should be tested.”
Also on the table for discussion is an agreement to not weaponize AI, and an exploration of the “principles to prevent misuse of AI models by non‑state actors, such as attacks on global financial systems or critical infrastructure, which neither country wants to see,” Chen said.
Anthropic CEO Dario Amodei’s letter has landed poorly in China—and with Trump
Although OpenAI CEO Sam Altman tweeted about a coordinated slowdown, asking the U.S. government to help facilitate it, the letter Anthropic CEO Dario Amodei’s published on Sept. 12 has drawn a particularly polarizing reaction. While some in the U.S. have praised it as a useful framework for containing the risks of AI, it’s not been well received in China.
In the letter, Amodei calls for the U.S. and China to agree to a “speed limit” for AI development. When discussing his letter in an interview with CBS Sunday Morning, Amodei likened the competition between the U.S. and China to the Cold War, when the U.S. and Soviet Union were racing to develop nuclear weapons. Amodei says at a bare minimum Washington D.C. and Beijing should agree that neither country will use AI to develop biological weapons, and he reiterates his belief that the U.S. should not sell advanced chips to China.
Brosi Babic, a professor at the University of Hong Kong, calls Amodei’s letter “self-serving editorializing” that is “conveniently coming at a time when the gap between Chinese and frontier US models is shrinking, as an attempt to hang on to a vanishing market lead.” To him, the proposals for an AI slowdown have “been framed in such a conniving and childish way” that they are unlikely to drive Xi’s agenda for the meeting with Trump.
Trump has also denounced Amodei’s letter. He called Nvidia CEO Jensen Huang when Huang happened to be speaking on stage. Huang put Trump on speaker phone in front of the crowd, and Trump said, “Whatever Dario said this weekend won’t stop our progress.” He also called the backlash to data centers and fears that AI will “take over” a “hoax.”
A social media post by Shengyu Liu, an engineer at DeepSeek, is gaining traction for comparing Anthropic achieving “advanced artificial intelligence” to “Hitler obtaining atomic-bomb technology before the Allies.”
Liu also highlights another important difference between the U.S. and China’s approach to AI technology: the U.S. industry generally favors closed models made by companies such as Anthropic and OpenAI, while China has focused on releasing lower-cost, open-weight models, such as those made by DeepSeek.
“I still believe that frontier intelligence should be made available to everyone in an open and inexpensive form,” Liu said. “I do not trust Anthropic or OpenAI to do this.”
The AI dialogue in China dramatically differs from in the U.S.
Outside of politics, the current uproar in the U.S. about AI safety and “saving humanity”–a phrase the tech industry has latched onto—has not taken hold in China. In fact, the Chinese public, also generally sees the idea of a slowdown as an attempt by the U.S. to get ahead and has a growing mistrust of the U.S. tech industry.
“Younger generations in particular are adopting more pro‑government views, encouraged to feel pride as the ‘new generation of Chinese,’ with the narrative of ‘China rising, U.S. declining’ gaining traction,” Chen said.
Most Chinese people believe it’s the government’s responsibility to manage AI safety risks, Chen said. For ordinary citizens and business people, they are less focused on regulation and more on the practical benefits of AI, including how they can use it to improve their daily lives or to generate income.
“The vast majority of average Chinese citizens are very positive about technology in general and AI in particular,” Triolo said. “They have seen major improvements in the quality of life in China brought on by technology,
Good luck slowing this down
Hi folks,
How tf do I write an intro to the craziness that’s happened since the end of last week?!
I got access to Instinct, the personal agent all the VCs are raving about - I think it’s a bit meh? I don’t know if it’s the pro-activeness that people seem to like, but I don’t love that. Makes me feel like I’m having to do work to keep it happy, or like I’ve got a boss again - no thanks.
The first message it sent me was:
I finished working on your meeting follow-ups - reply here and I’ll send the details.
I sh*t myself a lil bit and thought, please don’t start sending emails on my behalf. And I’m pretty savvy (ish) with agents. I’ve no doubt getting these onboarding experiences for everyone is really hard, but I just don’t feel the magic yet. It also feels slow.
I’ll wait for Muse access to see what that’s like, but I don’t love the idea of giving Meta access to more info about me…they’re not the most reliable of privacy partners.
And another thing - you don’t see by default what these agents remember about you, or what context they have. I really like being able to see and edit what’s in my files to steer my agents.
Much like every app adding an AI assistant chat box in their product, I unfortunately think every AI company will start shipping their own personal agents.
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Headlines
Dario Amodei has a new essay: Pace the frontier. He says all the leading labs should slow down long enough for safety reasons. Sam Altman agrees, but Trump does not. He called Jensen Huang on stage at the All-In Summit: The US will not lose the AI race. David Sacks (AI czar for the US govt.) adds: feel free to slow down, but no need to impose it on others. Also read:
More AI safety takes: two ways AI goes bad · it’s all for the IPO · pacing = losses · fear spreads faster · case for open-source and quite a long summary of what everyone’s actually saying.
No IPO for OpenAI in 2026. Sam told Fortune’s Alyson Shontell it would be “ill-timed” given the work ahead on alignment, control and safety.
Look ma! They are misuing claude again - Another Anthropic crashout.
tldraw took OpenAI up on a challenge. Steve (the founder of tldraw) said he could make ChatGPT’s Sketch 100x better. OpenAI’s Tibo gave him a day to prove it. The result: a whole ChatGPT-style prototype with better drawing tools built in.
ChatGPT mini - A tiny floating widget to start chats, see updates, and more. Go to Pets in your ChatGPT desktop app to switch.
Claude Code can now test whether a plugin actually helps. Run the same tasks with and without it and compare the results. Works with skills too.
Two new additions to the OpenAI API:
GPT-Live-1 - the model behind ChatGPT’s new Voice mode. I love using it while reading books, asking about tricky terms and dictating notes. Now you can add it to your products. Here it is with Astra and a whiteboard, playing teacher.
Agents API - OpenAI’s take on Managed Agents in the Claude API. It lets developers send any task to a Codex-like agent from their apps without worrying about configuring all the infra.
My feed
I use Pi (the harness) a lot. Till now, you brought an API key or your Codex/Claude subs to Pi. Their new product solves that. And I tell you what, the new DeepSeek model is really nice to work with in Pi. (I’m an investor)
Bolt Forge - GLM, DeepSeek and Kimi inside Bolt, free until October 14.
ChatGPT Work has a new data agent. (Also see: summation - by Opendoor’s CTO)
Should your agent app have bots or tasks? Maybe neither. Because both make you organise the work.
Routines in Replit - automated recurring work with AI.
What are people building with GPT-6 Astra?
Assistant Benchmark tests everyday assistants like Grok bot, Muse, Instinct and more. Ratings are a work in progress.
SF autoresearch - Run agent-driven ML experiments while you save 25% on GPUs on average.
A coding agent to improve your customer-facing agents.
How Pangram detects AI writing - and why a human rewrite can still get flagged.
How to run a team of agents, with agents as their managers.
Cognition’s SWE-2 (based on Kimi K3) beats Grok 4.6 at half the cost.
An interactive explainer of the
While Hollywood Fears an AI Future, China's Film Industry is Embracing It
Read more of this story at Slashdot.
Anthropic and OpenAI look to Uncle Sam to make them too big to fail
[分享创造] 做了个给终端 agent 配上立绘和语音的插件: dsh-gal, galgame 风格的 AI 伴侣
dsh-gal 是 DeepSeek Harness ( dsh )的一个插件,把 agent 变成一个 galgame 风格的角色:左边正常聊天,右边是她的舞台。

几个特点:
- 舞台状态直接来自 harness 的工具事件:她在读文件、写代码、搜网页、跑命令,舞台就切到对应的动画,不需要额外调一次模型去猜情绪。工具报错是一个短暂的"愣住",等你审批是单独的状态。
- 回复会朗读( VOICEVOX 本地免费,或者自己配 provider ),括号里的舞台提示只显示不朗读。
- 她做出来的清单和文件变成可以之后打开的对象,不会淹没在聊天里;还有一份关于你的记忆,所有角色共享。
- 个人数据 connector 是独立插件:健康、日历、天气、通讯录、备忘录、照片、iMessage 、位置、家居、微信读书、Gmail 、航班,每个都可选,你决定她能看到什么。
- 角色包 = 一个 JSON 人设 + 立绘/短视频循环,一个状态一段。人设只管说话的语气,不管 agent 做什么、调什么工具。自带 16 个纯文本人设包,配图是原创角色。
以 dsh 插件形式发布,也有一个 Tauri 的 macOS 小程序可以单独跑。TypeScript + React ,BSD-3 。
- GitHub: https://github.com/omdsh-dev/dsh-gal
- 2.5 分钟演示视频: https://github.com/user-attachments/assets/261b456b-f147-46f5-942a-32c67d12dc2d
立绘和循环动画是用图生图 + 图生视频做的,流程写在 README 里,想做自己角色的可以照着来。欢迎提问。
[DeepSeek] Opencode + DeepSeekv4 处理 execl
配置如标题,请教两个问题:
- opencode 接入 ds api 很容易,但附件只能选取极少格式的文本文件和图片,比如处理 execl 只能接受 csv 不接受 xlsx 。
- 和 ds flash vision 对话几轮,再放图片说超出限额,意思是 ds 每天图片的处理量是有限额的?
其他问题:背景是老婆工作是偏向 ppt execl 这些处理,我自己用的公司 copilot claude 的全家桶,全在 vscode 里搞,所以对本地 agent 使用不是很了解,网上搜了一下除了订阅 chatgpt plus 似乎是最优解,但她电脑不好搞外网,最后想到的方案是用 agent 客户端接国内模型。不知道有没有更好的方案推荐。比如其他 agent 客户端对多模态 富文本的支持更好,或者其他模型能力更强
[分享创造] 开源分享:写了个安卓端的 ai 求职搭子,用 deepseek 帮你在 boss 直聘上自动找工作
各位 V 友大家好。
最近找工作有多折磨大家都有体会,每天在 Boss 上手动翻几百个岗位容易心力交瘁,全是已读不回,真的极度内耗。
于是业余时间用 Kotlin 原生写了个跑在 Android 手机上的小工具——「鹿鹿 (Lulu)」。把它装在一台闲置备用机上,就能让 AI 替你盯着 Boss 直聘找工作。目前代码已在 GitHub 开源,Releases 里也备好了打包好的 APK 。
- 项目地址: https://github.com/fanyangcloud/LuluAgent
- APK 直接下载: https://github.com/fanyangcloud/LuluAgent/releases
实机运行演示:

它具体能帮你做什么?
-
先过本地黑名单,不浪费 Token
常见的外包公司、薪资低于你预期的、HR 几个月不在线的僵尸岗位,连 AI 都不用看,本地规则直接秒过滤,不浪费你的 API 额度。 -
拿你的简历和 JD 做深度契合度对比
通过初筛的岗位,才会交给 DeepSeek 严苛打分( 0~100 分)。核心技能明显不匹配、年限倒挂、或者带有隐形坑(严重加班、无责底薪过低)的岗位自动放弃,拒绝盲目海投。 -
针对不同的工作 构建不同的聊天话术
如果岗位契合度达标,DeepSeek 会结合你的真实简历亮点,构思一段 50~80 字、干练专业的打招呼语,像个真实的资深开发者向同行问好,坚决不用“非常荣幸看到您的职位”这种虚伪话术。 -
真机拟人化操作与防卡死
模拟人手滑动翻页与随机点击偏移,遇到未知弹窗或滑动偏离会自动安全退回并复位到推荐首页。 -
纯端侧运行,不碰隐私
没有做任何第三方中转后端,简历和你的 API Key 全加密保存在手机本地。网络请求只在你的手机和 DeepSeek 官方接口之间发生。
界面长这样:
除了自动运行的悬浮小胶囊,主页还做成了温润手账风格。今天投了哪些、跳过了哪些、为什么被 AI 放弃(比如技术栈不匹配、命中外包等),都在手账里记录得清清楚楚:


如何体验?
- GitHub 仓库: https://github.com/fanyangcloud/LuluAgent
- Releases 下载: https://github.com/fanyangcloud/LuluAgent/releases
上手只需 3 步:
- 准备一台 Android 手机(强烈建议用闲置备用机);
- 打开 App ,根据指引给一下无障碍和悬浮窗权限;
- 点击设置填入你自己的 DeepSeek API Key (支持一键测试连通性),粘贴你的 Markdown 格式简历,点击「开始探路」即可。
做这个项目的初衷,是希望在行情艰难的时候用技术帮大家挡在前面,少一些无效刷新与精神内耗。代码已完全公开,欢迎体验或提 Issue 交流。如果觉得好用,也欢迎顺手点个 Star 支持一下!
[GitHub] 我开源了一个基于 DSH 制作的创意设计方向 Agent
V2EXers 大家好,我是 Sai ,基于 DeepSeek Harness 制作了一个类似 Lovart 的产品,已经在 github 开源( repo 地址在最下面),并持续根据微信群里面的开发和设计行业的朋友的反馈进行更新,核心思路是让用户在创作时将所有的关注点(创作、修改等)集中在和 agent 的交互上,同时提供了一个无限画布便于查看结果,希望大家多提意见和建议。
谢谢🙏
Github Repo: https://github.com/saihhold-zhao/polox_ai
DeepSeek 又又又崩了?教你怎么做模型故障转移
亲手优化出 DeepSeek V4.1 算子的工程师,决定继续留在这场加速里
DeepSeek Harness官方桌面端即将就绪
8月中旬V4 Pro正式版发布的时候,DeepSeek还顺带着推出了DeepSeek Harness(简称DSH),这是官方配套的客户端,但之前是Web界面,现在终于能等到官方桌面客户端了。相比大模型,DeepSeek Harness这一个月来获得的热度更高,几天时间就获得了10万以上的Github Star,一切皆插件的理念也给与开发者极大的自由,初期官方没有自己的桌面客户端,社区就开发了多个第三方桌面客户端。
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DeepSeek算子负责人:《我不得不把才华埋葬在昨天》
AI圈又一力作诞生。近日,DeepSeek v4.1发布,其算子负责人刘胜与发了一篇长文,标题叫《我不得不把才华埋葬在昨天》。内容过长,全文放在最后了。
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