bayes-song · HN

Unlock Claude Sonnet 5's original reasoning

Topfi · HN

Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

@getanchorid · X

not_wowinter14 · HN

Remove AI voice from AI writings

@ZiyadL6 · X

@OGVeilScan · X

u/Gmoi6 · Reddit

Inspired by Mesopotamian divination, I built a site that generates daily omens from the news I built House of IFs as an experimental project; it applies Mesopotamian omen logic (IF weird sign > THEN outcome) to AI. Every day, an AI agent scans current news to construct a new omen. It links today's events to similar sign-and-outcome patterns from recent history. The project is both an experiment in "agentic" AI and a critique of how AI makes arbitrary patterns feel convincin

@onehopeA9 · X

用 DAPPOS @dappOS_com 做了一个加密货币缠论分析网站，也是我一直想做没时间做的！ 来看看缠论三买的威力： 不是不会写代码。 我自己是程序员，真要硬写当然能写。 但问题是：没时间。🤡 做交易的人都懂，真正消耗人的不是“看一根 K 线”，而是把一堆信息拼起来： K 线结构。 缠论笔、中枢。 一买二买三买。 一卖二卖三卖。 资金费率。 持仓量变化。 成交量异动。 市场舆情。 这些模块涉及太多方面，写得出来，但太费时间。 所以我一直想做一个自己的交易雷达： 接币安历史数据。 用 TradingView 展示 K 线。 自动画缠论结构。 标注买卖点。 再把资金费率、持仓量、成交量和币安广场热度放进去。 想法很清楚。 但一直躺在 TODO 里。 最近用 xbubble 的 Coding 功能试了一下，直接把需求丢进去： “做一个加密货币缠论分析网站，接入币安一年历史数据，用 TradingView 展示 K 线，自动画笔、中枢、一买二买三买、一卖二卖三卖，增加异动分析和币安广场舆情热度。” 它真给我生成了一个能跑的原型。 这次最戳我的不是“AI 会写代码”。 而是 xBubble 把最消耗时间的工程杂活压短了。 以前我自己做： ❌ 搭项目结构 ❌ 爬数据源和图表库 ❌ 写 K 线处理 ❌ 写缠论结构识别 ❌ 做前端交互 ❌ 部署、改样式、修细节 一圈下来，核心想法还没验证，人先累了。 现在变成： ✅ 先描述业务目标 ✅ 让 xBubble 生成可运行原型 ✅ 我再校验规则、调整逻辑、优化体验 ✅ 把时间花在交易理解和产品迭代上 这对程序员其实很有价值。 因为程序员最缺的不是能力，而是时间和注意力。 我这个原型现在大概有几块： 第一，TradingView K 线主图。 用币安数据展示行情，再叠加缠论结构。 第二，笔和中枢。 把原本需要手动盯的结构，先自动画出来。 第三，买卖点雷达。 一买、二买、三买，一卖、二卖、三卖，先帮我筛可能的位置。 第四，异动面板。 资金费率、持仓量、成交量变化，和 K 线结构一起看。 第五，舆情热度。 把币安广场讨论热度也拉进来，看看市场情绪是不是和盘面互相印证。 你可以理解成： 我不是让 AI 替我交易。 我是让 AI 帮我做一个交易前的信息雷达。 我觉得 xBubble 和普通 AI

jayubba1 · HN

Biasly.ai – Bias detection with historical context

@chakaapportal · X

x402 gateway for cybersecurity

u/King_Kazma · Reddit

whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)

timqian · HN

Send your agent to solve open math missions