VoxAI 上线 Mac 端:本地录制、实时转录并联动 AI 辅助会议
一款名为 VoxAI 的 macOS 应用正式推出,主打本地录音、实时转写与 AI 协同。该工具无需创建账户或绑定信用卡,即可在设备端完成录制、多说话人识别和实时标注,并将对话流同步至用户已有的 AI 系统(如 Claude Code、Cursor 等),以便在谈话中获取建议、风险提示和下一步行动。VoxAI 支持会议、通话、面谈和语音聊天四种场景,录音与转写均默认在本地处理,云端功能需手动开启,确保隐私可控。试用版提供十次完整会话,付费后解锁无限使用。其设置过程仅需将应用拖入文件夹并向 AI 客户端粘贴一条提示词即可完成连接。 #macOS #AI助手 #实时转录 #会议纪要 #VoxAI #本地隐私 #MCP
一款名为 VoxAI 的 macOS 应用正式推出,主打本地录音、实时转写与 AI 协同。该工具无需创建账户或绑定信用卡,即可在设备端完成录制、多说话人识别和实时标注,并将对话流同步至用户已有的 AI 系统(如 Claude Code、Cursor 等),以便在谈话中获取建议、风险提示和下一步行动。VoxAI 支持会议、通话、面谈和语音聊天四种场景,录音与转写均默认在本地处理,云端功能需手动开启,确保隐私可控。试用版提供十次完整会话,付费后解锁无限使用。其设置过程仅需将应用拖入文件夹并向 AI 客户端粘贴一条提示词即可完成连接。 #macOS #AI助手 #实时转录 #会议纪要 #VoxAI #本地隐私 #MCP
1Password 推出 SaaS Manager,应对 AI 支出失控
随着企业加速拥抱 AI,token 消耗带来的成本正快速失控。据 1Password 观察,许多公司的 AI 账单超出预期数十倍,部分团队无限制使用高价模型、默认模型被悄悄升级、预付费余额在首个季度即耗尽。与按席位定价的传统 SaaS 不同,AI 工具普遍按消耗计费,每一次提示、模型调用或自动化工作流都在累积费用,而财务和 IT 团队却难以实时掌握开支。1Password 新推出的 SaaS Manager 旨在解决这一痛点,通过统一视图追踪 AI 用量与成本,帮助企业识别支出驱动因素、设置预警并优化预算,从而在不扼杀创新的前提下堵住成本黑洞。 #1Password #SaaSManager #AI支出 #成本控制 #FinOps #企业IT #云财务管理
随着企业加速拥抱 AI,token 消耗带来的成本正快速失控。据 1Password 观察,许多公司的 AI 账单超出预期数十倍,部分团队无限制使用高价模型、默认模型被悄悄升级、预付费余额在首个季度即耗尽。与按席位定价的传统 SaaS 不同,AI 工具普遍按消耗计费,每一次提示、模型调用或自动化工作流都在累积费用,而财务和 IT 团队却难以实时掌握开支。1Password 新推出的 SaaS Manager 旨在解决这一痛点,通过统一视图追踪 AI 用量与成本,帮助企业识别支出驱动因素、设置预警并优化预算,从而在不扼杀创新的前提下堵住成本黑洞。 #1Password #SaaSManager #AI支出 #成本控制 #FinOps #企业IT #云财务管理
Show HN: Which investing school are you? Free AI diagnostic and Prompt Library
v3.0 🤖 8 AIs × 7 Investing Experiments Your Personal AI Investment Operating System Claude, ChatGPT, Gemini, Grok, DeepSeek, Kimi, Qianwen, and Doubao spent tens of thousands of tokens across 7 real experiments debating one question: what investing philosophy works best? This tool turns their answers into your personalized coaching system. 📚 8 AIs' Knowledge + 🩺 5-Step Diagnosis = 🎯 Your Investment OS ✓ Diagnose your investing fit — with a personalized match score ✓ See what 8 AIs actually think about investing philosophies ✓ Get a Prompt Library personalized to your exact profile ✓ Find out which AI fits each investing task best 🎯 0 investors have already built their Investment OS Build My Investment OS →← See the full AI Investing Experiment series 🧪 Or jump straight to a Decision Lab Tool 📊 DCA
v3.0 🤖 8 AIs × 7 Investing Experiments Your Personal AI Investment Operating System Claude, ChatGPT, Gemini, Grok, DeepSeek, Kimi, Qianwen, and Doubao spent tens of thousands of tokens across 7 real experiments debating one question: what investing philosophy works best? This tool turns their answers into your personalized coaching system. 📚 8 AIs' Knowledge + 🩺 5-Step Diagnosis = 🎯 Your Investment OS ✓ Diagnose your investing fit — with a personalized match score ✓ See what 8 AIs actually think about investing philosophies ✓ Get a Prompt Library personalized to your exact profile ✓ Find out which AI fits each investing task best 🎯 0 investors have already built their Investment OS Build My Investment OS →← See the full AI Investing Experiment series 🧪 Or jump straight to a Decision Lab Tool 📊 DCA
Lab Smile curve sim Recovery Hold/add/cut Kelly Lab Optimal position size Dividend Engine Freedom date Pyramid Builder Risk budget · tranches Portfolio Doctor N-eff · black swan 中文版 → 定投实验室 · 解套分析 · 凯利仓位 · 股息引擎 · 建仓金字塔 · 持仓体检 ⚠️ For educational purposes only. Not financial advice. All content is based on AI experiment data and does not represent professional investment guidance. 1 2 3 4 5 Before we start Have you started investing yet? This shapes how we describe your profile and what we show you next. A Yes — I have a brokerage or fund account B Not yet — I'm figuring out where to start Next → Question 1 of 4 How many investing philosophies do you know? There are 6 main schools. Before we ask what fits you, let's make sure we're on the same page. A 1–2 — heard of them but not clear on the differences B 3 — I know a few well C 4–5 — pretty solid grasp D All 6 — I'm familiar with each one 🦅 Value Investing Warren Buffett · Benjamin Graham Find great businesses trading below their intrinsic value. Buy and hold for years — let compounding do the work. The "boring" approach that historically outperforms most active strategies. 📌 e.g. Coca-Cola (KO), Apple (AAPL), Berkshire (BRK.B) — durable brands, wide moats, held for decades. 📊 Index / Passive Investing John Bogle Don't try to beat the market — own the whole market cheaply. Dollar-cost average into index funds. Beat most professionals by doing almost nothing. 📌 e.g. SPY / VOO (S&P 500), VTI (total US market), QQQ (Nasdaq 100). Set auto-invest and ignore the noise. 🌱 Growth Investing Philip Fisher Find companies growing revenues and market share rapidly. Pay a premium for future dominance. Higher upside, higher volatility — patience and conviction required. 📌 e.g. NVIDIA before the AI boom, Amazon in the 2010s — high P/E, high growth, requires holding through painful drawdowns. 📈 Trend Trading Jesse Livermore Follow price momentum. Buy what's going up, sell what's going down, cut losses fast. Demands iron discipline — most practitioners eventually lose without a system. 📌 e.g. Bitcoin & crypto cycles, NVDA breakout in 2023. Success depends entirely on when you enter and exit. 🌐 Macro Hedge George Soros · Ray Dalio Trade across asset classes based on macroeconomic cycles: currencies, bonds, commodities, equities. Extremely high bar for entry — this is institutional-level complexity. 📌 e.g. Gold (GLD) as inflation hedge, TLT on rate cuts, oil on supply shocks. Soros shorted the British pound. Dalio uses All Weather. 🎯 Core-Satellite Bogle + Buffett / Fisher hybrid 80% index for stable market beta · 20% active positions for selected upside. Structure that lets you benefit from both systematic and conviction-based investing. 📌 e.g. VOO as core + 3–5 hand-picked stocks as satellite. Separates "must not lose" from "willing to bet on." Got it — continue → ← Back Question 1 of 4 — Let's start from the basics A quick introduction before we build your system These are the building blocks. Tap to expand any section. No test — just context so you can make an informed choice. 📂 Q1-1 — What types of investing exist? 🧭 Q1-2 — What are the main investing philosophies? You've probably heard of these investors. Tap each one to see what approach they represent. ← Back I've read it — continue → Question 2 of 4 Which school do you think the 8 AIs recommended? Make a prediction — then see the actual experiment data. You can select more than one. 🦅 Value Investing 📊 Index Investing 🌱 Growth Investing 📈 Trend
Trading 🌐 Macro Hedge 🎯 A mix of all Show me the answer → 🏆 All 8 AIs gave the exact same answer — independently Claude · ChatGPT · Gemini · Grok · DeepSeek · Kimi · Qianwen · Doubao — without exception * Every AI was queried independently, without seeing each other's answers. Zero disagreement across 8 different models. This level of consensus is extremely rare. 📖 Experiment 1 Data — Read full experiment → 8 AIs were each asked independently: "Which investing philosophy should an ordinary person choose?" Every single one said Value Investing. None chose growth, index, or trend as their top answer. Their reasoning converged on one insight: value investing is the only system that turns a retail investor's biggest "weakness" into a strength — retail investors can't compete on speed or data, but they have one edge institutions don't: unlimited time horizon. Patience is the core weapon. "DeepSeek: AI is best used as an information pickaxe, not a crystal ball. Use it for 80% of information processing and cross-referencing — not predicting the 20% that requires reading people." "Claude: The only resource retail investors have that institutions don't is time horizon — value investing is the only system that turns this into an advantage." "ChatGPT: A system built on patience, research discipline, and emotional control aligns perfectly with the tools AI can actually provide — systematic information, not market timing." "Doubao: The retail investor's greatest advantage isn't speed, it's freedom — no quarterly earnings pressure, no redemption risk, no career risk. Value investing is the only school that exploits this fully." * Your turn Which path do you want to explore? All 8 AIs recommended value investing — but the final choice is yours. Pick the path that genuinely interests you. We'll generate a personalized Prompt Library tailored to your exact answers. 🦅 Value Investing Warren Buffett e.g. KO · AAPL · BRK.B 🌱 Growth Investing Philip Fisher e.g. NVDA · AMZN · SHOP 📊 Index Investing John Bogle e.g. SPY · VOO · VTI 📈 Trend Trading Jesse Livermore e.g. BTC · momentum plays 🌐 Macro Hedge George Soros · Ray Dalio e.g. GLD · TLT · oil 🎯 Core-Satellite Bogle + Buffett hybrid 80% index · 20% active bets ⚙️ I Have My Own System Self-defined framework Your own rules, edge, and decision-making process — we'll help you document and sharpen it Continue to my questionnaire → ← Back Question 3 of 4 — Your profile Tell me about yourself Answer honestly — the more accurate, the more useful your AI prompt will be. ← Back Generate My Investment OS → AI Analysis Engine — Running 0% 🏛️ Your AI Investment Committee 8 leading AIs independently reviewed your profile. Here are their verdicts. View Full Committee Report → 🦅 📋 Your Answers — Fit Analysis * 🚀 Your Personalized Prompt Library Choose a use case, copy the prompt (pre-filled with your answers), paste into any AI and start immediately. 💡 Tip: The Core-Satellite prompt is long — paste the whole thing into a new conversation so the AI reads it completely before you start. 📋 Copy Prompt↗ Copy + Open Claude↗ Copy + Open ChatGPT 🔒 Privacy tip: The copied prompt includes our most complete financial context template — delete any lines you'd rather not share, nothing is required. Fill it in directly in your AI chat, not here. We never see or store your conversation. Prompts are personalized based on your answers + the AI Investing Experiment Series — 7 articles · 8 AIs · 56 experiment answers. 📖 Read the story
behind this tool → Browse all AI investing tools → 🧪 Decision Lab — 6 Calculation Tools Each tool is a full decision engine: calculate → AI explain → visualize → decide. All 5 schools + 8 AI committee inside every tool. Tool #1 📊 DCA Strategy Lab Smile Curve · Compound sim · 5-school verdict #2 🔴 Recovery Planner Hold / Add / Cut · Opportunity cost · Sunk cost reset #3 🎯 Kelly Lab Win rate × Odds → Optimal size · Risk of Ruin #4 💚 Dividend Engine Freedom Date · DRIP · YoC · FCF safety check #5 🔺 Pyramid Builder Buy-down / buy-up · Risk budget · Stress test #6 🩺 Portfolio Doctor N-effective · Fake diversification · Black swan test Also available in Chinese — 中文版入口 → 🔗 Share Your Result 👆 Tap to select, then copy manually ✏️ Edit my answers🔄 Start Over ⚠️ For educational purposes only. Not financial advice. Investing involves risk — always do your own research.
华为云在泰国发布Agentic基础设施,启动代码智能体公测
华为云在泰国举办的技术峰会上,正式发布了其面向AI原生时代的Agentic基础设施方案,并同步启动了代码智能体(Code Agent)的公测。该基础设施旨在为企业和开发者提供更高效、智能的算力与开发环境,支持大模型应用的快速构建与部署。代码智能体作为核心组件,能够通过自然语言交互辅助编程、代码审查及故障排查,显著提升开发效率。此次在泰国的发布标志着华为云加速拓展东南亚市场,推动区域数字化转型。华为云表示,Agentic基础设施将结合本地需求,为泰国及周边国家的企业提供定制化AI解决方案,助力行业智能化升级。 #华为云 #Agentic基础设施 #代码智能体 #泰国 #AI #云计算 #数字化转型 #科技新闻
华为云在泰国举办的技术峰会上,正式发布了其面向AI原生时代的Agentic基础设施方案,并同步启动了代码智能体(Code Agent)的公测。该基础设施旨在为企业和开发者提供更高效、智能的算力与开发环境,支持大模型应用的快速构建与部署。代码智能体作为核心组件,能够通过自然语言交互辅助编程、代码审查及故障排查,显著提升开发效率。此次在泰国的发布标志着华为云加速拓展东南亚市场,推动区域数字化转型。华为云表示,Agentic基础设施将结合本地需求,为泰国及周边国家的企业提供定制化AI解决方案,助力行业智能化升级。 #华为云 #Agentic基础设施 #代码智能体 #泰国 #AI #云计算 #数字化转型 #科技新闻
Synth historian Oli Freke will spend big on a good bicycle
Oli Freke is a musician and journalist whose works have appeared in Sound on Sound , The Quietus , and Mixmag . This has included using math to explore the melodic potential of the Western 12-tone scale and deep dives on effects plug-ins . He’s even written a book tracing the evolution of the synthesizer from 1963 through 1995, charting the change from analog to digital and back.
Oli Freke is a musician and journalist whose works have appeared in Sound on Sound , The Quietus , and Mixmag . This has included using math to explore the melodic potential of the Western 12-tone scale and deep dives on effects plug-ins . He’s even written a book tracing the evolution of the synthesizer from 1963 through 1995, charting the change from analog to digital and back.