我一直有个观点，就是： 人不用去跟汽车比谁跑的快，不用跟 AI 比谁更聪明博学；我们驾驭好汽车到达目的地，用好 AI 完成任务，就很好了。
我一直有个观点，就是： 人不用去跟汽车比谁跑的快，不用跟 AI 比谁更聪明博学；我们驾驭好汽车到达目的地，用好 AI 完成任务，就很好了。
2026-08-15
All AI Pulse updates published on 2026-08-15.
16 signals1/4 "AI is not when computer can write poetry.
1/4 "AI is not when computer can write poetry. AI is when computer will *want* to write poetry." @UCBerkeley 's Alyosha Efros quoted a friend, when talking about the nature of "True AI," at the Simons Institute workshop on Topics in Intelligence: World Models
The question is not what the machine can attain.
The question is not what the machine can attain. It is what we can retain. Personhood is the first paper of Common Wealth: a unified theory of society in the age of AI. http:// cw.ii.inc
Anthropic 的产品，为什么这么厉害。
Anthropic 的产品，为什么这么厉害。 刚看了公众号《海外独角兽》的最新文章。非常不错，强烈推荐。 Anthropic 公司里有个 Labs 团队。 Labs 团队会围绕不同的技术判断播下大量种子，再把它们放进 Anthropic
SWE-Bench ProMax Benchmarking Agents on Large-Scale Multilingual Code Refactoring paper: http...
SWE-Bench ProMax Benchmarking Agents on Large-Scale Multilingual Code Refactoring paper: https:// huggingface.co/papers/2608.09 802 …
Do all of your agents need a frontier model?
Do all of your agents need a frontier model? We ran NVIDIA's open source router, Switchyard, through our Deep Agents eval suite comprising of 145 multi-step tasks - Tool use, retrieval, filesystem operations, long context. The result: 93% of turns went to a 30
很好的 Harness 生产级源代码学习列表，重点推荐 pi-mono，搞透一个比每个都看看更好。
很好的 Harness 生产级源代码学习列表，重点推荐 pi-mono，搞透一个比每个都看看更好。 不过这列表里面还缺了一个重量级的，就是前不久泄漏的 Claude Code 源码
这是构建AI SEO Skill的一些基础策略 对于AI SEO的详细策略 可参考 为内容生产设计 AI Skills 系统（演示版）
这是构建AI SEO Skill的一些基础策略 对于AI SEO的详细策略 可参考 为内容生产设计 AI Skills 系统（演示版）
开放权重会毁掉AI创新吗？
开放权重会毁掉AI创新吗？ 1/ AI开源与闭源之争，可能从一开始就问错了。 Christian Catalini梳理大量经济学研究后提出：开放权重未必减少AI投资，只会改变【钱投向哪里、谁负责创新、最后谁赚走利润】。 这个视角挺值得看。
7/ 文章最后的判断很有意思： 闭源实验室可能守住最前沿能力，开放模型承接大部分日常需求；一旦模型“足够好”，价格、可靠性、数据和行业经验会比多几分能力更重要。
7/ 文章最后的判断很有意思： 闭源实验室可能守住最前沿能力，开放模型承接大部分日常需求；一旦模型“足够好”，价格、可靠性、数据和行业经验会比多几分能力更重要。 AI的护城河，或许不在权重里，而在尚未被发现和记录的现实信息中。你怎么看？
What surprised me most: Dyna-2 never trained on a single robot trajectory, yet the more human...
What surprised me most: Dyna-2 never trained on a single robot trajectory, yet the more human video it saw, the better it got at robot tasks. The embodiment gap looks less like a "knowledge problem" than an "adaptation problem." That distinction could rewrite
1/ Robots just found their scaling variable Dyna Robotics dropped Dyna-2: a world-action mode...
1/ Robots just found their scaling variable Dyna Robotics dropped Dyna-2: a world-action model pretrained on 1M+ hours of human video—about 170 years of nonstop waking experience. The headline isn't the robot. It's the scaling law behind it—still climbing, no
We are in an insane run of open-weight drops.
We are in an insane run of open-weight drops. Every modality, open source is winning. This is what an open source AI summer looks like: LLMs & Reasoning → DeepSeek-V4-Flash-0731 (my king ): 304B MoE refresh, Terminal-Bench 2.1 jumps 61.8→82.7 over the preview,
SpaceX AI 发布了 Grok 4.6 模型，然后价格还行，每百万输入输出分别为 2 和 6 美元。
SpaceX AI 发布了 Grok 4.6 模型，然后价格还行，每百万输入输出分别为 2 和 6 美元。 当然，如果你有 Twitter 的 Premium+的会员的话，依然可以通过 Grok Build 授权来白嫖。
deepseek-v4-pro https:// api-docs.deepseek.com/zh-cn/quick_st art/pricing/ …
deepseek-v4-pro https:// api-docs.deepseek.com/zh-cn/quick_st art/pricing/ …
LangSmith is now available as a bring your own cloud deployment on @awscloud .
LangSmith is now available as a bring your own cloud deployment on @awscloud . Keep agent traces and runtime data inside your AWS boundary, while LangChain manages provisioning, upgrades, scaling, and support. BYOC gives teams data sovereignty with the speed o