@sairahul1 · 143.5K 粉丝 · 1.5M 阅 · 561 赞 · 53 转
09/09 18:08
Someone gave GPT-6 Astra $52. 13 hours later: $11,345.95. Someone else gave it $43.47 and one instruction. It turned that into $41,495 overnight. Someone went to sleep. Woke up to $200 in their
中文介绍 汇总 10 种用 GPT-6 Astra 赚钱的玩法:有人给它 52 美元,13 小时后变成 11345 美元;另一人投 43 美元、一句指令就过夜滚到 41495 美元。属于晒收益型的案例合集,可看具体操作路径。
@borjafat · 4.9K 粉丝 · 373.2K 阅 · 502 赞 · 42 转
09/07 19:52
If you want more customers from Google and AI search, but: ↳ ChatGPT keeps giving you keyword lists while your existing pages still need work. ↳ You open Search Console, stare at the numbers, and
中文介绍 针对「ChatGPT 只丢给你一串关键词、现有页面却没优化」的 SEO 痛点,讲怎么用 GPT-6 Astra 把 Search Console 里看不懂的数据转成可执行动作,目标同时吃下 Google 和 AI 搜索的流量。
@apexin_ai · 395 粉丝 · 281.6K 阅 · 500 赞 · 84 转
09/08 12:23
Astra shows how far AI has come. What takes it further? The continued progress of today’s most capable models depends on smarter decisions before training, better strategies during training, and more
中文介绍 从 Astra 的能力表现切入,讨论 AI 开始改进 AI 的路径:训练前更聪明的决策、训练中更好的策略,以及后训练环节的优化,属于偏思辨的前沿能力分析。
@lucaspatiri_ · 5.8K 粉丝 · 275.5K 阅 · 506 赞 · 41 转
09/09 00:12
openai shipped its most capable model on september 3. i wasn't going to write this. we've generated 2.6 billion organic views across 62 campaigns, managed 590 creators, and produced 22,504 tracked
中文介绍 OpenAI 9 月 3 日发布最强模型后,作者用 ChatGPT Astra 批量做 UGC:累计 62 个 campaign、590 位创作者、2.6 亿自然播放、22504 条追踪内容,总结出一套可复用的投放流程。
@ClaudeDevs · 683.4K 粉丝 · 106.4K 阅 · 1.3K 赞 · 70 转
09/09 01:01
Tuning prompt caching, instructions, and effort can reduce Claude's cost without sacrificing application performance. Performance and cost are often viewed as a trade-off: to spend less, you accept
中文介绍 Claude 官方开发者账号讲如何通过调优 prompt caching、instructions 和 effort,在不牺牲应用性能的前提下压低 Claude 成本,反驳「想省钱就得接受性能下降」的取舍假设。
@RohOnChain · 68.8K 粉丝 · 102.3K 阅 · 524 赞 · 48 转
09/08 20:39
I will break down exactly how to build an AI agent like hedge funds that finds profitable trading strategies from the markets 24/7 with GPT-6 Astra. Let's get straight to it. Bookmark This - I'm
中文介绍 拆解如何用 GPT-6 Astra 搭一个类似对冲基金的 AI agent,24 小时不间断从市场里挖掘可盈利的交易策略。偏向手把手搭建教程,作者建议直接收藏照做。
@mattyp · 60.1K 粉丝 · 82.8K 阅 · 515 赞 · 56 转
09/08 06:03
You may have seen some three-panel mosaics on your timeline. Here's how you can create them with @bot in @figma. Any designer knows how they'd make one, it's just a bit of a pain in the ass. So we
中文介绍 教你在 Figma 里用 Grok Bot 生成三格拼贴图(photomosaics)。设计师手做一张很费劲,作者把整个流程交给 bot 自动完成,并给出具体操作方法。
@paulfchristiano · 5.3K 粉丝 · 70.7K 阅 · 654 赞 · 96 转
09/10 01:05
I am excited to be joining the OpenAI nonprofit board, serving on the Safety and Security Committee to support safety oversight. Based on the recent trajectory of capabilities and the continued
中文介绍 Paul Christiano 发布个人声明,宣布加入 OpenAI 非营利董事会,并在安全与安全委员会任职、参与安全监督;文中提到近期能力发展轨迹是他做出这一决定的重要背景。
@ForwardEditor · 10.0K 粉丝 · 61.4K 阅 · 512 赞 · 36 转
09/08 08:54
This weekend, I watched a movie with my daughter while my computer worked on a video I would have normally spent most of a day editing. The video was a favor for someone in my personal life. I'm a
中文介绍 视频剪辑师分享用 Astra 剪片:周末陪女儿看电影时,电脑就替他完成了平时要耗掉大半天的剪辑活。虽是人情小活,但说明 AI 已能接管完整成片流程。
@TheVixhal · 23.0K 粉丝 · 59.7K 阅 · 541 赞 · 58 转
09/08 01:07
In this article, I'm going to break down the essential math you need for AI inference engineering. I'll also share the exact roadmap and resources that helped me personally. Let's get straight to it.
中文介绍 一份 AI 推理工程所需的数学学习路线图:梳理核心数学知识,并附上作者亲测有效的资源与学习顺序,面向想入行推理优化与部署的工程师。
@ericzakariasson · 87.8K 粉丝 · 58.2K 阅 · 522 赞 · 49 转
09/07 19:05
We launched the Grok Bot Marketplace last week on Grok Bot · Bot Marketplace! It's a shelf of teammates other people already built for real jobs. Pick one, import it into your sidebar, and you're
中文介绍 Grok Bot Marketplace 正式上线,相当于一个「别人已经造好的队友」货架,按真实岗位分类,挑一个导入侧边栏就能直接用,不用自己从零搭建 bot。
@JoshARosen · 1.3K 粉丝 · 47.0K 阅 · 510 赞 · 49 转
09/08 22:00
LLM-as-judge is already a common part of building AI applications. Run your application against a dataset, have another model grade the results, and use the scores to figure out whether the latest
中文介绍 讲 LLM-as-judge 的进阶用法:不再只在离线数据集上跑评测,而是把评测嵌进 agent runtime,用另一个模型给结果打分,用来判断新版本是否真的更好。
@GoogleAI · 2.5M 粉丝 · 37.4K 阅 · 643 赞 · 90 转
09/08 22:41
Today, we’re introducing AlphaGenome Atlas 🧬 an interactive platform for genomics discovery. In 2025, @GoogleDeepMind released AlphaGenome to help decode the complex language of our DNA — but
中文介绍 Google 发布 AlphaGenome Atlas,一个可交互的基因组学发现平台,建立在 2025 年 DeepMind 的 AlphaGenome 之上,用于高分辨率解读人类 DNA、加速生物发现。
@poteto · 92.6K 粉丝 · 23.3K 阅 · 822 赞 · 60 转
09/10 01:02
In my last post, I showed you why verification is the foundation of everything I do with agents, and how to get started creating your own verification skills. The key lesson was that if an agent can't
中文介绍 pstack 系列第二篇,延续「verification 是一切 agent 工作的基础」这一核心观点:agent 若无法验证结果就谈不上可靠,本篇讲怎么动手搭建自己的 verification skills。
@jhMITgunship · 1.5K 粉丝 · 18.3K 阅 · 1.4K 赞 · 1 转
09/09 01:23
What superintelligence needs to operate in the physical world For much of the work we give models from OpenAI, Anthropic and the other frontier labs, the world has already been turned into context.
中文介绍 讨论超级智能要在物理世界运作还缺什么:目前交给模型的任务大多已被转成上下文,而物理世界并不会直接递给你一个状态向量,属于偏概念性的思考。