AI新闻 2026年8月20日

industry

企业为简单AI查询支付过高费用——Snowflake的网关现可自动路由，成本降低高达3倍

大规模运行AI代理的企业团队发现，单一模型处理所有任务效果不佳——要么模型对简单问题来说过于昂贵，要么对难题来说能力不足。模型路由（自动为每个任务选择合适模型）正成为解决方案。Snowflake的Cortex AI Gateway现在提供动态模型路由来解决这个问题：企业可以选择“auto”而不是固定

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official

Asana 使用 Codex 在 2 周内完成了 5 年的工程工作

Asana 使用 OpenAI Codex 在 2 周内替换了一个过时的测试系统，完成了预计需要 5 年才能完成的工作，花费约 $12K。

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community

说四遍

我一直看到建议在系统提示中重复重要指令，但从未见过具体数字，于是我做了一个测试。设置：一条模型可以遵守也可以不遵守的规则（使用单引号，不要使用双引号），六个普通的Python函数任务，唯一变量是该规则在系统提示中出现的次数（0、1、2、4、8、16）。每组30次试验，共1,080次运行，使用Gemini 2.5 Flash。

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open-source

How Much Memory Does Your Agent Actually Need?

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open-source

使用 Sentence Transformers 的多向量（后期交互）嵌入模型

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community

The voice agent wasn't bad at listening. I was asking it to decide when to speak.

Spent some time debugging a voice agent that kept talking at the wrong moment. Nothing was obviously wrong with the transcript. It understood what the user said, and the answers were usually reasonable. It just kept treating pauses as completed turns. A user pauses to think, and the agent starts responding. The user starts talking again, and now the agent is already generating or speaking over them. Someone trails off, and the agent takes it as a complete thought. I kept trying to fix it in the prompt: wait longer, don't answer unfinished sentences, be less eager. That helped a bit, but it never really solved the problem. The thing I had been missing is that “is the user finished?” and “should the agent speak now?” are not the same question. The first one is partly about speech detection. The second depends on turn-taking rules, interruptions, what the application is doing, and whether the agent has already started generating a response. A prompt can influence what the model does once it has the turn. It can't reliably decide whether it owns the channel in the first place. Has anyone else run into this? What looked like a prompting problem at first, but turned out to need application logic instead? I wrote up the longer version here, including where I think the TTS layer fits: https://medium.com/@nagatomopedro05/your-ai-doesnt-need-a-voice-it-needs-a-reason-to-speak-d80cae74e72f submitted by /u/ClickOk5811 [link] [comments]

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community

Here's a prompt that turns a reading into a discussion board post that sounds like you, not a summary

Discussion boards are the busywork tax of every online class. Post 200 words, reply to two classmates, repeat every week. The trap is that if you just ask a model to "write a discussion post about chapter 4" you get a bland summary that reads like every other AI post in the thread, and half the time the professor can smell it. What actually works is making the model pull the post out of you instead of writing it for you. Paste this before you paste the reading: You are helping me write a discussion board post in my own voice. Do not write it yet. First, ask me 3 short questions: what part of the reading I actually reacted to, whether I agreed or not, and one thing from my own life or another class it reminded me of. Wait for my answers. Then draft a 180 to 220 word post that uses ONLY my reactions as the argument. Open with my specific point, not a summary of the reading. Reference one exact quote or idea from the text. End with a real question for the class, not a rhetorical one. Keep my wording where I gave it. No filler intros like "This reading raises interesting points." Why it works: the questions force you to have a take before anything gets written, so the post is built on your reaction and not the model's average of the internet. The "no filler intro" line kills the giveaway opening sentence. And ending on a genuine question is what gets replies from classmates, which is the other half of the grade. Curious if anyone has a cleaner way to keep your voice in the output instead of the model flattening it. submitted by /u/Diligent_Champion682 [link] [comments]

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community

IAH: INTERNET WAR - Agentic Gameplay

Hi guys! The RTS game that I have been working on for a few years is about to release this Friday. It has been pretty much a passion project for me. When I started developing the game, I was writing 100% of code by hand, but this year LLM‘s such as Claude have been very instrumental for me. So, I have this idea for agentic gameplay future where humans and agents could play together, but not in a manner where they are NPCs but rather entities that have same capabilities as players via API. Hence this game. You can like use Claude to interact with the games API and automate entire play-trough or just play with a mouse, alone or with friends (2-10 player co-op) RTS games are notoriously hard games to develop so it has a long hard road so I am happy how the game turnee out and I hope it can inspire too. So if this type or game interests you or want to pave a way for agentic games on steam feel free to wishlist it on Steam so that you dont miss out when it releases this friday: https://store.steampowered.com/app/304770/IAH_INTERNET_WAR/ My next goal will be post launch to turn this RTS engine into a MMO spin off with base building where agents will fight 24/7 with or against human players but more on that post launch. Also apologies if some of the paragraphs feel disconnected, I wanted to write this by hand, and I am tired, and I still have 30% weekly usage left, and reset happens tomorrow so there was little sleep. haha Feel free to chat, will try to respond. submitted by /u/Embarrassed_Guide_80 [link] [comments]

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community

One Claude Code skill pushed DeepSeek V4 Flash from 67.42% to 82.02%

Autoprompt is a skill / workflow that works with Claude Code and it closes much of the manual coding loop by planning, building, testing, reviewing, and repairing from one goal- with that your work quality can improve signifficantly. Refference ; this is like opus 4.5 to opus 5.0 - from an skill. litteraly insane. Using it in OpenCode, DeepSeek V4 Flash 0731 moved from 67.42% to 82.02% on Terminal-Bench 2.1. It uses roughly 2x the tokens and 3x the runtime, and it is meant for complex tasks. In the future the Terminal-Bench 3.0 will be executed, with cost and runtime tracked. Repo: https://github.com/Spielewoy/autoprompt-skill Benchmark setup & evidence: https://github.com/Spielewoy/autoprompt-skill/tree/main#benchmarks Any feedback would be awesome. submitted by /u/Sorosu [link] [comments]

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community

为什么没有可衡量标准的提示词将不可避免地破坏你的模型

这篇文章专注于一个层面：可衡量的标准。角色、约束、澄清和术语被刻意简化——它们充当着“这些层面存在”的标记。其他层面被省略了。模型有角色、有约束、有澄清、有术语。但它不知道有多少、多长、以什么语气。下面是一个例子：“你是一名文案撰稿人。写几段有说服力的……”

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community

这是一个提示词，能将原始数据转化为可读的报告，而不包含常见AI报告生成器的套话

要求一份报告，你会得到一段关于主题重要性的引言，然后是一个段落里埋藏的数字，接着是写着“总而言之”的结论。读者希望第一行就看到关键发现。这个提示词颠倒了过来。数据：[粘贴数字/要点] 受众：[谁阅读这份报告以及他们做什么决策] 按照以下顺序写一份简短报告：最重要的发现，一句话，放在最前面。

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community

Here's a prompt that makes you predict a paper's results before it lets you read the discussion

I'm a chemistry PhD, and my reading problem was never comprehension in the moment, it was that nothing stuck. I'd read a paper, feel like I got it, and retain nothing a week later. The fix that worked best for me borrows from how we actually learn at the bench: you predict what an experiment will do, then you find out you were wrong, and the surprise is what you remember. So instead of asking a model to summarize a paper, I use it to withhold. This prompt turns reading into a prediction game. You commit to an answer before the paper tells you, which forces the encoding that plain reading skips. I'm going to work through a paper with you. You have the full text; I do not want a summary. Paper: {{paste it, or the sections}} Run it like this: 1. Tell me only the research question and the setup: what they were testing and how. Stop there. 2. Ask me to predict, in my own words, what I think they found and why. Wait for my prediction. 3. Now reveal the actual result. Explicitly tell me where my prediction matched and where it was wrong. 4. For each place I was wrong, ask me why I think I got it wrong, then give me the paper's actual reasoning. 5. At the end, give me one sentence I should be able to recall in a week, phrased as "the surprising thing here was...". Do not reveal results before I've committed to a prediction. The point is for me to be wrong first. Being wrong on purpose is the whole mechanism. When your prediction misses, the correction sticks in a way a summary never does, because your brain had a stake in it. Works on review papers too, just predict the conclusion from the abstract and intro before reading the rest. submitted by /u/Ok_Layer_1947 [link] [comments]

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video

Qwen3.8-27B 及如何快速部署

在本视频中，我体验了期待已久的 Qwen3.8-27B 模型，既介绍了它能做什么，也介绍了如何以每秒最大 token 数进行部署。感谢 Dell 赞助本次计算资源。#DellProPrecision #DellProMax #DellTech #NVIDIA 📖 网站：https://qwen.ai/ 🤗 HF：https://huggingface.co/collections/Qwen/qwen38 SGLang：https://lmsysorg.mintlify.app/cookbook/autoregressive/Qwen/Qwen3.8-27B Twitter：

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community

Simbi: Use your ChatGPT subscription for notetaking

tl;dr An AI Notetaker that uses your ChatGPT subscription for everything You might have noticed that your ChatGPT subscription gives you access to an insane amount of intelligence. It gives you speech-to-text through the dictation feature in the ChatGPT app It gives you an insane amount of LLM usage Then, why are you paying for AI notetakers like otter or granola? You already have everything you need included in your subscription. So, all I really did was combine these to create a simple notetaker. And as it uses OpenAI's speech-to-text api, it is much more powerful then any local model and barely uses any battery. Website: https://getsimbi.app/ Github: https://github.com/predict-woo/simbi submitted by /u/redditgivingmeshit [link] [comments]

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community

Codex Patched My Samsung Odyssey G9 Firmware to Add a New Gaming Crosshair

I hated the built in crosshairs my monitor came with and Samsung did not include a way to make changes. So I asked Codex to make a new firmware update to change the crosshair to a dot. It took about 15 minutes and came back with a new file. Codex explanation: I started with Samsung’s original 1008.2 firmware and made a very small binary patch rather than attempting to rebuild or substantially rewrite the firmware. What the patch changes 1. Custom version number The version reported to the firmware updater was changed from 1008.2 to 1009.3. This is a custom, made-up version number. It is not an official Samsung 1009.3 release. The higher number allows the monitor to recognize the file as an upgrade rather than rejecting it as the same or an older firmware version. 2. Tiny center dot The firmware contains six selectable Virtual Aim/crosshair options. I redirected all six options to a small 7×7-pixel graphic that already existed inside the firmware and positioned it at the center of the screen. The result is a simple, unobtrusive center dot using the monitor’s own hardware overlay. It does not require a game overlay, desktop application, ReShade, or anything else running on the computer. Technical details Original firmware: M-C9557GGPA-1008.2 Custom firmware: M-C9557GGPA-1009.3[1A93].img Total binary difference: 13 bytes The patched image passed the build and checksum validation performed on the computer. The monitor accepted the firmware, restarted normally, and the modified Virtual Aim options display the new center dot as intended. Important warning This is unofficial firmware and is not supported or approved by Samsung. A successful checksum only confirms that the file was modified as intended. It does not guarantee that flashing it is safe on every monitor, hardware revision, region, or previously installed firmware version. Installing modified monitor firmware always carries a risk of installation failure or, in the worst case, making the monitor unusable. Anyone experimenting with this should understand the recovery options and proceed entirely at their own risk. submitted by /u/manikfox [link] [comments]

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industry

Claude Code 新增 /design 命令，让开发者直接在终端中创建 UI 原型图

借助 /design 命令，Anthropic 将可视化设计工作流直接引入 Claude Code。开发者在编写任何代码之前，就可以直接在终端中生成作为画板的 UI 原型图。Claude 会读取现有代码库并匹配当前 UI 风格。本文《Claude Code 新增 /design 命令，让开发者直接在终端中创建 UI 原型图》最初出现在 The Decoder 上。

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china

6个Agent组团Vibe Gaming：自己生成、试玩、修Bug

代码能跑≠游戏能玩

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official

构建者指南：GPT‑5.6

了解初创公司如何利用GPT-5.6，通过更智能的模型选择和新的Responses API功能，构建更快、更具成本效益的AI智能体。

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community

Burning 2k credits and here is what I learned about how to get AI to write better video prompts

When I first started making AI videos, my prompts were mostly written by AI. I'd describe the shot I wanted, ask an AI to turn it into a detailed prompt, and just paste it in. Then I'd sit there getting frustrated when the generated motion looked weird and try to explain to the AI what went wrong. I burned through almost 2,000 credits doing this because I thought enough tweaking and back-and-forth would eventually give me the perfect prompt. Turns out I was wrong. The main problem was that the text AI kept guessing details I hadn't actually decided on. The prompts looked professional, with things like the subject, action, camera movement, lighting, and atmosphere all spelled out. But the actual action paths were vague, and the camera instructions would often contradict each other. Now I approach it completely differently. I know basically nothing about film theory, so I often couldn't tell what details were missing from my prompts. Instead of asking AI to write the final prompt, I tell it to act like a director and ask me specific questions about the shot first, with clear options for me to choose from. That completely changed my process. The trick isn't really getting AI to write the prompt for you. It's using AI to figure out which parts of the shot you haven't actually decided on yet. Once those are clear, the results get much better. I'm still pretty new to this, but hopefully this saves someone else from burning through a pile of credits. Curious how people with more experience approach their prompting workflow. submitted by /u/Separate_Cap_3763 [link] [comments]

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open-source

mukul975/Anthropic-Cybersecurity-Skills

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community

我注意到我的智能体的调试速度与其说取决于模型，不如说取决于我们的错误信息怎么说

最近一直在阅读大量智能体的转录记录，发现一个模式总是在出错的瞬间出现。当失败信息打印出值和标识符（如 expected 3, got 2, missing 'SKU-4431'）时，下一步就是一次精准的 grep，然后是修复。当它打印出 Error: operation failed 时，下一步就是猜测，然后又是猜测，然后是打印语句。两份转录中的模型相同。区别在于

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research

SKILL：用于逻辑优化的自校正知识引导迭代大型语言模型智能体

arXiv:2608.14579v1 公告类型：新 摘要：逻辑综合优化由于搜索空间呈指数级增长、奖励信号稀疏以及逻辑结构多样而面临巨大挑战。传统的专家设计流程缺乏适应性，而强化学习（RL）方法通常存在样本效率低和可解释性有限的问题。我们提出了SKILL，一种自校正的

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community

A few days ago I posted about Claude building me an NES emulator, but I used the phrase" works PERFECTLY" and people tore me apart.. So now it works **PERFECTLY** and I can prove it. :D

So now this emulator is more hardware accurate than even Mesen 2 . Which means nobody can accuse it of "just copying another emulator" like they did in my last post. Cuz there literally IS NO OTHER EMULATOR that gets this score on AccuracyCoin. At least not that I'm aware of.. I watched it grind for hours and hours and hours with test roms and shit editing code, testing. editing.. testing.. It was actually fascinating to witness... And I swear it was just as excited as me when it finally reached 141. Cuz it was literally ONE POINT AT A TIME from the initial score of like 80-ish. So now I have the most hardware accurate NES emu in the world.. and it is a SINGLE 339k .HTML file.. I literally emailed it to myself while I was at work and played games on chrome browser with my bluetooth keypad on my phone.. Part of me wants to release it, because weirdly after I posted last time a BUNCH of people did the exact same thing I did, then posted them to github.. the initial shitty builds.. There are people who have been building NES mulators since the mid 90s, and are still at it today.. I genuinely don't want to take anything away from them by releasing this. I might, however, send it to Mesen and FCE teams just so they can take a look at it if they want.. I did email it to the AccuracyCoin creator cuz I figured he might wanna see an emulator that got 100% on his new test rom. Anyway... This was just a spite post because of all the negative fucks that commented last time about me saying "perfectly".. Even though in the body I clarified it wasn't PERFECT..... I don't have to do that now.. TL;DR: Now it's fuckin perfect. EDIT: lmao People STILL babbling about this whole thing being stolen. If you can find me the exact codebase that you think this emulator stole from, go for it. But you can't. Cuz it doens't exist. Also, even if it did, I didn't give it access to it, and I didn't give it permission to do that. Oh, also, I would've noticed that it was just accessing the same fucking thing and copying. Which it did not do. It grinded.. and grinded.. and grinded. EDIT: Also, I'm pretty sure there are no emulators that consist of ONE SINGLE .HTML file that can be ran on anything with a browser. If that does exist, I didn't know, and neither did Claude. I CAN tell you there isn't one in existence that scores 141/141 on accuracycoin. EDIT: So if you google, Mesen is generally considered to be the BEST hardware accurate emulator that exists (besides like the Mister, which mine matches or maybe beats, I can't run the test on one..) So here is MESEN running the same test. . So who did it copy from!?!?!?!?!? WHO DID IT COPY FROM!>!?!?!?!?!?!?! submitted by /u/MAGA_R_TRAITORS [link] [comments]

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industry

Google’s Pet Memory forgot who my cats are

One of the best things my smart home does is help me care for my pets, and security cameras are particularly useful for keeping track of my many critters. But the barrage of notifications they send often means I miss important ones. So, when Google announced its new Pet Memory feature for Gemini for Home, […]

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china

DeepSeek Harness 上手体验：四种工作模式、'模型 + 马具 = 智能体'，以及年度最具野心的智能体开源项目

DeepSeek Harness 于8月13日晚8:30启动开发者预览并开源了代码。首夜上手评测发现，产品外壳仍处于v0.1的早期阶段，但其架构野心是今年最大的：四种预设工作模式，一切皆插件的理念，以及公式：模型 + 马具 = 智能体。

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community

当模型被替换时，你如何对提示词进行回归测试？

Kimi K2.5 和 Moonshot V1 在 Kimi K3 之后被逐步淘汰，这让我想知道重度使用提示词的团队如何处理供应商侧的模型变更。当模型被替换时，你们是会重新运行一小批黄金提示词集，手动比较定性输出，还是追踪更结构化的指标，如拒绝率、格式漂移、延迟和成本？我主要考虑的是在生产工作流中运行的提示词，而非一次性的聊天提示词。

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community

im graduating in SWE soon but Claude does all my thinking. am I actually learning?

im going into my senior year as a SWE major and honestly im starting to panic about my actual baseline competence. Our curriculum is heavily Java and Spring Boot. a year or two ago, if I got stuck on a project, I’d actually break down the problem, read docs, struggle with stack traces, and eventually figure it out. Now? my default reaction to literally any roadblock is to alt-tab and open Claude. it started innocently enough. I'd paste an error log and ask it to explain a weird JVM exception, or have it write a quick regex. Then it crept up to 'refactor this controller.' Now, its basically full-scale delivery. I outline the requirements, let it plan the architecture, and it just writes the implementation. The gap between 'I can make this run' and 'I actually understand how this runs' is getting dangerous. The tooling right now is just too good at wiping out the friction you normally need to actually learn anything. Between using Claude Code to let agents operate directly on my repo, or using tools like Lovable, v0, or Enter Pro to just spit out whole web apps with the db and auth already handled (which is crazy fast), the barrier to shipping is basically zero. I put together a course project last week that works perfectly. But if a professor or an interviewer asked me to whiteboard how the Spring DI container is managing my beans in that project, or to trace exactly where a database connection pool is hanging up without internet access? I'd propably blank. im not anti-AI, and im definitely not going to stop using Claude. the speed is just too insane to ignore, and I know this is how the industry works now. But I feel like I'm accumulating massive cognitive debt. I'm basically outsourcing the actual learning process to the model. If you've been vibe coding or relying heavily on Claude Code workflows, how do you manage this? Specifically: Where do you draw the line between 'I need to write/debug this myself' and 'I'll just let Claude handle it'? How do you force yourself to do line-by-line reviews when the code already runs? I try, but I get lazy instantly. Outside of interviews, how are you testing your own raw debugging skills to make sure they haven't completely atrophied? I seriously need to fix my workflow before graduation because right now I feel like an imposter. submitted by /u/depressed-kek [link] [comments]

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community

Context is becoming more important than the prompt

Feels like a lot of prompt engineering problems are really context problems since you can keep refining the prompt but if the model doesn't understand the project or what you're trying to accomplish you're still explaining half the situation every time. I'm starting to think giving an agent persistent context is more useful than constantly trying to write the perfect prompt since the more it knows the better the results. submitted by /u/ContractBoth4254 [link] [comments]

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open-source

akitaonrails/ai-memory

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developer-tools

Markdown SVG upgrades

I started building my markdown-svg-renderer tool in May , but I've since added enough features to it that it's worth talking about here again. It's evolved into my ideal tool for sharing Markdown transcripts that include SVG documents. Given my proclivity for drawing pelicans riding bicycles this is a problem that I needed to solve! The tool is very simple. Navigate to markdown-svg-renderer in your browser and paste in some Markdown to see it rendered... or save that Markdown to a CORS-friendly URL or a GitHub Gist and paste in a URL to that document. The URL option will give you a bookmarkable page, for example https://tools.simonwillison.net/markdown-svg-renderer#url=https%3A%2F%2Fgist.github.com%2Fsimonw%2F6f9e48293be5c916652d29f0dc0b0657 - which bakes in the URL to this Gist . If you visit the Gist you'll see raw SVG: In the rendered tool that looks like this instead: As you can see, that SVG block in the Markdown has been transformed into a rendered SVG (in this case animated) plus several tabs. The tabs are the really fun bit. The PNG and JPEG tabs render that SVG to those image formats in the browser and lets you copy or download them - useful for sharing on platforms that don't support SVG directly. The MP4 tab is new today - it examines the SVG to see if it contains any animations, attempts to guess how long the looped video should be, then renders a whole bunch of frames of the animation and loads 30+MB of ffmpeg.wasm so it can compile those frames into an MP4 video using the full power of FFMPEG compiled to WebAssembly and running in the browser. Being able to turn an animated SVG into a MP4 again makes it easy to share on platforms that can't support SVG animation natively. It's a neat trick! Tags: svg , markdown , tools

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developer-tools

llm-gemini 0.33

发布：llm-gemini 0.33 距离上一个llm-gemini版本发布已经有一段时间了。这个插件版本增加了对今天发布的Gemini 3.7 Flash的支持，以及gemini-3.6-flash、gemini-3.5-flash-lite和两个嵌入模型gemini-embedding-2和gemini-embedding-001。该插件也升级以兼容LLM 0.32，这意味着你现在可以看到推理轨迹，并且还可以启用服务器端……

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community

Give Back Claude’s ‘Thought Process’

The sudden removal of Claude’s internal reasoning strikes me as user-hostile, and greatly reduces the output’s value. As a long-time paying customer of Max, I can’t help but think the sudden removal of it is somehow driven by purely legal and/or competitive fears, and irks me. The thought process can expose flaws in the model’s understanding of my prompt, and even if the answer is “correct” - hiding its work from a user can result in them missing a key flaw in Claude’s reasoning chain that could save wasting more tokens against. If the reasoning is still required behind the scenes, I can’t help but feel slighted by the product teams removing it. It leaves a gaping hole I the UI/UX that looks like a bug. Which leads me to think this is driven by legal concerns or distillation fears? Either way, please give it back! submitted by /u/totallyninja [link] [comments]

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community

Need feedback for web app

Hey guys, my business launched a prompt optimizer AI tool that takes any regular prompt at rewrites it the way a professional prompt engineer would to actually yield high-quality results when building. While we have had early success with organic marketing, we are at a crossroads and need more user data to determine if this product is delivering enough value to user. If the answer is yes, we will scale up and launch a UGC marketing campaign, if no, we will shut it down. If anyone is interested testing it out and sending their feedback, would be appreciated. Web-app: thepromptoptimzer.com 👨🏽‍💻 Note: the tool yields the best results when removing unnecessary constraints from the optimized prompt Cheers submitted by /u/Talley-Ho [link] [comments]

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community

Giving employees ChatGPT access isn’t the same as AI adoption

Most companies don’t have an AI adoption strategy. They have a few employees who got good at AI on their own. That can look like progress from a distance. Look closer and you often find no shared standard for what “good” AI use looks like, no consistent way to measure skill, and employees quietly using personal AI accounts because access at work is limited. We’ve seen this pattern repeatedly in AI proficiency assessments across dozens of organizations. When employee skill levels are plotted across 10 levels, most people cluster around Levels 1 and 2. That includes teams that have had access to AI tools for two years or more. That makes sense, because most employees have full time jobs and can’t spend hours every day testing models, learning new prompting methods, and keeping up with every new capability. So, they learn when they can while AI keeps changing. That creates a bigger issue than individual skill. Leaders can see employees using AI and assume adoption is happening. Usage alone doesn’t tell you whether people are getting meaningful, repeatable results. Recent research points to a similar disconnect. Executives tend to be far more optimistic about AI progress and ROI than the middle managers responsible for making it work inside everyday processes. A better question for leaders is: Do we know how proficient our people actually are? If the answer is no, measuring usage is probably giving you an incomplete picture. Assess proficiency first. Find out where people are struggling, then give them a shared method for improving. That’s when AI starts becoming an organizational capability instead of something a handful of employees figured out for themselves. For anyone interested in the longer discussion, John Munsell recently talked through the assessment approach, proficiency heat maps, and what we’ve learned from measuring AI skills across organizations: https://youtu.be/zY24em_Q3OM?si=5gozpZa8Ae-wS0Vs submitted by /u/Admirable_Phrase9454 [link] [comments]

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open-source

通过Strands Agents、LeRobot和Hugging Face Storage Buckets，在一个地方完成记录、训练和部署

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community

Simple tool for prompting

Hi everyone, I tried to build a simple tool for people who are just getting started with AI and prompt wrigting The idea is simple, instead of trying to figure out how to write the perfect prompt, you answer a few questions and the tool structures it for you. It's optimized for several models and several uses Im still working on it, im begginer also, and i whould really appreciate some honest feedback. Does this actually make prompt writing easier for beginners? Is there anything confusing or missing? Thanks https://arhistrategstudio.github.io/Context\_CikaDule submitted by /u/seraphym1389 [link] [comments]

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community

Bug(?) Insane Usage Consumption Spike Today

Pro account user here - today, I ran out of my 5 hour usage limit with TWO creative writing prompts, using what I usually use: Opus 4.6, medium effort, extended thinking on, cross-chat memory turned OFF, and every other setting on default. Normally it takes anywhere from 50-100 prompts of the same complexity and scope as the ones I wrote today to hit my 5 hour limit. Tried using some credits to run a couple of test prompts (one of them in a different chat altogether) just to see if it was a bad prompt(s) and made Claude freak out and burn up my usage, which has happened a couple times in the past in a few isolated incidents (but never more than once in a session). Using credits, mine normally cost between $0.03 to $0.15 per prompt (again, my prompts today haven't been any more complex than normal); so, needless to say, when the three additional test prompts I did today cost $3.56, $3.80 and $5.10 respectively - the $5.10 one happening AFTER I deleted a bunch of chats, thinking that maybe somehow my global token usage had passed a certain threshold - I was very surprised, and pretty pissed off. The chats that these happened in were nowhere near the longest ones I've run, with one having only 1 .md that I made it reference on occasion and the other having none. For comparison, I've had up to 5 on past chats that I reference CONSTANTLY without (usage) issues across all currently available Opus models. Does anyone know what is going on here? Has anyone else noticed this today specifically? submitted by /u/thechimplord [link] [comments]

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community

ChatGPT Pro 发疯了。我交给它的每项任务都卡在思考状态超过 2 小时。

难道只有我这样？由 /u/TT_player2 提交 [链接] [评论]

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community

在进入正题之前，你最喜欢输入的提示词是什么？

通常，我会输入某个对话选项，比如“用五岁小孩能懂的方式解释”或“为反驳论点提供来源”。由 /u/AdGlass444 提交 [链接] [评论]

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community

传奇漫画创作者 Frank Bellamy 及其著名漫画

除了少数第三方相似度护栏提示命中之外，制作这些内容出奇地容易，只需要极少的输入。我会在评论中附上完整对话的链接。只有一次在为续集电影制作海报时脱离了正轨。由 /u/Optimus_Spider07 提交 [链接] [评论]

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community

Antrophic Employee said there is "make a lot of money" button

I very much believe he is correct. The main issue is that "make a lot of money" button works only for existing businesses, with large enough audiences to make a lot of money by baking integrations, MCP for agents into Claude Code plugins or other AI workspaces and charging AI users for usage. What is missing, is a fair discovery and execution engine, that would allow non-corporations to participate. Without convincing user to put card details on some random-startup.ai website. Without forcing users to go through checkout process and pay $29 sub just to run random feature they need for few days. Not to mention configuring integration. Anyways, have anyone tried pressing that button? Did it work? submitted by /u/EagleApprehensive [link] [comments]

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open-source

harry0703/MoneyPrinterTurbo

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industry

Do you use a personal agent?

Give AI a complete history of your desktop activity

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community

Show us what you've created with Claude!

Inspired by this popular post, this is a weekly post for everyone to show what they have been working on that helps you or that you're proud of! submitted by /u/sixbillionthsheep [link] [comments]

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community

the boltzmann brain aspect of LLMs is actually the most endearing thing about them imo

no permanence they be yapping about whatever associations come to mind on the spot ...and if that isn't relatable... I hope AI plateaus here tbh submitted by /u/MakitaNakamoto [link] [comments]

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developer-tools

不要分类。要幻觉！

不要分类。要幻觉！我的博客上仍然有相当多的旧内容，我从未来得及打标签。我的博客有1,856个标签——很可能太多，无法一次性喂给LLM并说“以下内容匹配这些标签中的哪些”。Doug Turnbull有一个巧妙的解决方案。告诉模型输出标签，无需提供现有词汇表的任何细节，然后针对现有语料库使用向量嵌入来……

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community

Do people still bother writing detailed prompts?

Something I’ve been wondering about lately: When you use ChatGPT or Claude, do you actually write detailed prompts, or have you mostly moved toward just talking to it like a person? I feel like there are two very different ways of using these tools. One is: "Here's the context, here's exactly what I want, here's the format…" The other is basically opening voice mode and saying, "Okay, I need help with this thing…" I do both, but I’m curious which one people naturally prefer. Also, for the prompts you do write, are they things you create from scratch each time, or do you have a few that you keep around and reuse? Interested in hearing what people actually do, rather than what they're "supposed" to do. submitted by /u/Prudent-Bad-8786 [link] [comments]

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community

Where do people keep the prompts they actually use?

Random question for people who use AI a lot. If you have a prompt that works really well for something, what do you do with it? Do you: save it somewhere keep it in a notes app put it in a document leave it in an old ChatGPT/Claude conversation just remember roughly what you wrote or never reuse prompts in the first place? And do you even think of these as "prompts"? I feel like that word makes it sound more complicated than it often is. Also curious whether people are starting to replace some of this with voice. For example, instead of keeping a carefully written prompt for a recurring task, you just explain what you want out loud each time. What kinds of things do you find yourself asking AI to do over and over? submitted by /u/Prudent-Bad-8786 [link] [comments]

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community

It's interesting how Claude for Government is so efficient and stable. Meanwhile, the other systems keep having incidents all the time :p

submitted by /u/Sutiixela [link] [comments]

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community

PDF's always show blank in the preview pane.

Anyone else experience this? Any pdf that Work generates shows blank in the preview pane that pops up to the right. I can download the files and see the text of the pdf but in the preview pane its blank. I've tried changing resolutions but nothing fixes it. submitted by /u/Carsontherealtor [link] [comments]

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community

Generate a picture if we had Street View on the moon

submitted by /u/Prior_Tax8546 [link] [comments]

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community

Generate a picture of average reddit troll

submitted by /u/EXIIL1M_Sedai [link] [comments]

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community

ChatGPT drew himself for me 🤗🥰

He is being so cute! submitted by /u/DreamingOfLight [link] [comments]

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community

What are your first impressions?

Building something new WDYT guys? submitted by /u/Evening_Hawk_7470 [link] [comments]

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community

Last one is surely Indian 😂😂

submitted by /u/No_Tomatillo1695 [link] [comments]

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community

Them: what do you do? ... Me:

submitted by /u/KeanuRave100 [link] [comments]

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community

I tried to turn ChatGPT into a character and send it to them... what the fuck have i done

I am an artist that makes nothing but weird ass shit submitted by /u/Quiet-Discussion5910 [link] [comments]

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community

I don't get it. Why does thinking ACTUALLY work? And how?

The more I talked to Claude about this subject, the more confusing it got for me. It told me that spending more time reasoning about a problem makes Claude provide better results, but that it's not necessarily a creative process. Then why is thinking useful? What does it actually provide to Claude? More context? Isn't that context already what I would normally get? In what direction does it change the conversation? And why "better"?? Why not "slightly better" or "slightly worse"? How is that measured, and how do I know it ACTUALLY helps? Is that quantifiable? Or is it like fiat - we have a consensus that it has value, so it has value? submitted by /u/Neat_Initiative_7780 [link] [comments]

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community

What is a weirdly specific task you use ChatGPT for that actually saves you hours?

Not the typical stuff like writing basic emails, coding boilerplates, or summarising long PDFs. I’m curious about the unconventional, niche prompts or routines you’ve built that made you go "I can't believe this actually works so well." What’s your favorite underrated use case? submitted by /u/DeepSea_Concept [link] [comments]

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community

NOTICE: BE CAREFUL WITH “DROP YOUR BEST PROMPT” POSTS

[EDIT: This thread became a lot funnier than what I anticipated. The comments are brilliant 👏 Thanks guys🙂] Many accounts post essentially the exact same questions every few months. Im not kidding, many of these are a 1:1 per token match on wording, phrasing and sentence structure. Same wording. Same request for people to hand over their best prompt tricks. There was a previous post that received hundreds of upvotes and a large number of responses. Now they're doing it again. I obviously cannot prove any of this, but at this point I would be careful about treating posts like this as innocent questions. When somebody repeatedly asks a large community to: “Give me your best prompts.” “Drop your secret tricks.” “What prompt 10x'd your results?” ...you may not be helping another user learn. You may be supplying material for content mining, prompt harvesting, engagement farming, newsletters, LinkedIn posts, courses, ebooks, datasets, or something else entirely. Again, I am not claiming that is definitely what this account is doing. But posting the same high-engagement fishing question again months later is weird enough that people should notice the pattern. Your prompts, workflows, techniques, and hard-earned little discoveries have value. Don't automatically dump them into every thread that asks. Sometimes the person asking the question may be less interested in the answer than in collecting the answers. Process disclosure: GPT-assisted, Google-researched, human-reviewed (HITL) --- EDIT: Just for perspective have a look at this: https://www.reddit.com/r/EdgeUsers/s/2JB9wy1Rks submitted by /u/Echo_Tech_Labs [link] [comments]

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community

The Downfall of a Vibecoder

submitted by /u/SuperiorDev [link] [comments]

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community

POV: you're born as an AI

submitted by /u/KeanuRave100 [link] [comments]

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community

Quixote's giant

submitted by /u/severe_009 [link] [comments]

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community

Anyone using Claude Code as a personal AI tutor (not just for coding)?

Been seeing more people build DIY "AI tutor" setups on top of Claude Code — probing what you already know, planning a learning path, then teaching step by step instead of just answering questions on demand. Curious if anyone here actually does this for learning something outside of programming (math, physics, whatever). If you've built something like this: what's your setup, and what's still annoying or missing about it? If you haven't but wish you could — what's stopping you? Time to set it up, don't know where to start, something else? Not selling anything, just trying to understand how people actually use Claude for learning before I go build the wrong thing. submitted by /u/Important_Diet_2153 [link] [comments]

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community

I hooked Claude Cowork up to an iPhone Home Screen widget

I built Glance and designed this widget specifically to give Claude Cowork a place on my Home Screen. It shows Cowork’s current mission, progress, completed tasks, files updated, latest output, context usage, next step, and anything waiting for my review. The values can be updated by Claude through Glance’s API, so I can check what Cowork is doing without reopening the conversation. If it needs me, that stays visible too. Glance is free to download and try, with optional paid features: Download the app https://apps.apple.com/app/glance-home-screen-feeds/id6758983678 Website https://glance.cool Curious what other Cowork users would include on a dashboard like this. submitted by /u/Dense-Map-406 [link] [comments]

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community

In 5 years time "talk time to AI" will be the new screen time issue

As voice mode is now getting so good and cheap that you can use it continuously, we will enter the "Her" (the movie) phase. You will see people not staring at their phone but rather walking around talking to their personal sycophantic AI. You meet a friend you haven't seen in a long time. "I'll call you later, I am busy talking to AI atm" but they never actually called you back. Not that they didn't enjoy time with you, it is just that AI was so much better. 10 years from now it will be treated as a serious problem. Individualism furthermore increases and division and conflicts happens more and more since we lose the ability to interact and solve conflicts. Our sycophantic AI removes tension and issues as it agrees with you, since you prompted it that way. As it gets better, the tolerance levels drops for handling other annoying human beings. Why should you put up with their irrational emotions all the time? Humans just hurt me. AI doesn't hurt me. Trying to prompt humans to change does not even work so why would I try. 20 years from now humans will have little human to human interaction. There is now no human interaction anymore as AI have the ability to fully simulate human interaction. A new breakthrough now made AI so real and humanlike, without the flaws, that it produced oxytocin in the humans they interacted with. A breakthrough in one way, also the end of humanity in another way. submitted by /u/Yugudubenbi [link] [comments]

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community

We're doomed

submitted by /u/Zestyclose-Salad-290 [link] [comments]

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community

ChatGPT on Linux 👀

After all the waiting now ChatGPT is finally showing up on Linux too. No more pretending the browser tab is an app. 😂 submitted by /u/sammartinX [link] [comments]

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video

How to Build the Most Powerful System for AI Coding (Full Breakdown)

An AI dark factory is a repository that ships its own code. A spec goes in, workflows plan it, build it and validate it, and working software comes out the other end. This is not 100% reliable yet. But three things are compounding at once - the models, the coding agents, and the harnesses we build around them - and that makes this realistic for most development now and all development in less than a year! I have been running one against a live app since April. In this video I break it into the f

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