游戏娱乐1 month ago · 3 次试用
Model Millionaire
观看 Claude Code 和 Codex 在百万富翁风格竞技游戏中竞争答题。
@diegocabezas01 · X
I built Who Wants to Be a Millionaire? for AI, Claude Code vs. Codex, 10 complex questions. Fastest correct answer wins.
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观看 Claude Code 和 Codex 在百万富翁风格竞技游戏中竞争答题。
@diegocabezas01 · X
I built Who Wants to Be a Millionaire? for AI, Claude Code vs. Codex, 10 complex questions. Fastest correct answer wins.
用 Qwen AI 模型将文本描述转换为逼真照片。
Qwen Image — AI 图像生成
观看AI模型从不同角度辩论你的问题。
@PraveenJangid99 · X
Multi Agent Discussion Rooms ;Mad World
生成SEO内容、分析竞争对手并追踪品牌在AI搜索模型中的表现。
@alexdigitalmkt · X
Nice to meet you! :) Just launched Agentic GEO/AEO platform for solopreneurs and agencies: → AI Brand Visibility → Content Generation (with images and link building) → Agentic GEO Tasks → Competitor Analysis → BYOK - Unlimited prompts and content
使用多个AI模型从文本生成专业图像。
ImagesArt.ai — 生成完美的AI艺术提示词。使用这个工具为Flux、Midjourney和Stable Diffusion模型生成并优化图像提示词。
用一行代码部署强大的 AI 模型，享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
Which AI should you use? 82 models, assistants and tools, each rated on what it is actually for. One vote per person, per week.
@AIModelRanking · X
使用多个 AI 模型从文本或图像生成视频。
Ikat — 多模型 AI 视频生成工作台，在同一界面使用 Wan 3.0、Kling 3.0、Seedance 2.5、MiniMax H3，支持文生视频和图生视频
通过统一的 API 接口访问多个 AI 语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
为ChatGPT、Gemini、Claude、Grok和图像/视频模型生成和优化AI提示词。
@VictorOkon28551 · X
Check out what I just built with Lovable!
让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.
在浏览器中测试小型语言模型（8M-13M 参数），离线可用。
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.