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Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Aurora - 本地AI代理验证系统，提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Aurora - 本地AI代理验证系统，提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
在多个运行时中设计、验证和比较AI代理部署，具有内置治理功能。
@paulrodturner · X
选择领导美国或中国，在策略游戏中竞争2030年AI竞赛。
micstradev · HN
I made a strategy game where you play the US or China through the AI race, 2026 to 2030, sixteen quarterly turns in the browser. One run takes about half an hour. At the start, the game seals two dice you never get to see. Inside: how hard alignment really is, and how fast takeoff compounds. You get eval reports, but only as ranges, and they flatter you most exactly when your systems are least aligned. At the end you get a debrief which shows what your evals said each quarter and also what was actually true. I lost every run I played myself so far. Every number in the game is source-backed or a labeled design choice. Some of them are wrong somewhere. There is an issue template for challenging a number with a better source, and the better source wins. No accounts, no tracking, no server, works offline after first load. AGPL, nonprofit. Cards and parameters are plain JSON. Contribution is possible without writing code. Would like to have your thoughts if it is fun to play, how you lik
使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
用AI World Generator从文本和照片实时生成互动3D世界，用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站
统一一个API接入200+个AI模型，包含Claude、GPT等，支持自动故障转移。
@MixRoute_ai · X
为创始人和销售领导者提供的 AI 驱动 GTM 策略和智能工具。
@ourideaai
将URL粘贴到Tacit，AI会转录、总结并在画布上连接相关内容。
@trytacit · X
Building TACIT to stop stop saving and start applying
体验由AI构建的16款街机游戏合集。
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:
从静态照片创建AI拥抱视频，保持角色一致性。
aihugvideo.app — AI Hug 是最好的 AI 拥抱视频生成网站🤗，可以在几分钟内轻松构建您的 AI 拥抱视频
用一个 API 访问 500+ Hugging Face 开源模型，免费注册无需信用卡。
@pengsonal · X
500+ Hugging Face models through a single free API no credit card just an email signup 😳 launched on July 3 as a unified gateway for Hugging Face models one API key one endpoint 500+ models what you get for $0: • 500+ open-source models through an OpenAI-compatible API • no separate API keys for different providers • works with Cursor, Claude Code, Hermes, OpenCode, and anything that supports a custom base URL • email signup only setup takes about 2 minutes: 1. Go to 2. Sign up with your email 3. Generate an API key 4. Set your base URL to 5. Choose any model from the catalog and start building a few things worth knowing: • is a third-party gateway, not an official Hugging Face product • the free tier is rate-limited, but the exact limits haven't been published yet • i wouldn't build production apps that depend entirely on a free aggregator what i like is the simplicity instead
