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Grok's realtime voice is now on AI Gateway. Build with AI SDK 7: • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚟𝚘𝚒𝚌𝚎-𝚝𝚑𝚒𝚗𝚔-𝚏𝚊𝚜𝚝-𝟷.𝟶 (𝚞𝚜𝚎𝚁𝚎𝚊𝚕𝚝𝚒𝚖𝚎) • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚝𝚝𝚜 (𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝚂𝚙𝚎𝚎𝚌𝚑) • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚜𝚝𝚝 (𝚝𝚛𝚊𝚗𝚜𝚌𝚛𝚒𝚋𝚎)

明星 AI 公司 Anthropic 泄露盈利消息，背后其实全靠马斯克友情打折。 别急着庆祝，这只是一场精心计算过的财务魔术。 整个市场都在高呼：AI 终于从吞金兽变成了印钞机。 但科技分析师 Ed Zitron 随后撕开了这层包装。 他说，这根本不是什么商业模式的转折点。 按照 Zitron 的解读，Anthropic 确实有那么两个月在账面上盈利了。 但真实原因，不过是 Elon Musk 通过 SpaceX，给他们提供了一笔算力折扣。 一旦算力这个最大的成本项被人工“打折”，账面数字自然就扭亏为盈了。 这是计划好的财务工程，无法证明业务能自我造血。 真正健康的盈利公司，从来不需要靠这种定向补贴和刻意的“泄密”来打强心针。 撕开这层临时折扣，AI 行业的成本结构依然是一场灾难。 大模型巨头们没有变好，反而亏得越来越理直气壮。 《The Information》爆出过一组真实数据： OpenAI 在上个季度的非 GAAP 运营利润率，是负 122%。 这意味着它每做 1 块钱的生意，就要倒贴 1 块 2 毛 2。 这才是今天 AI 商业化最真实的底色。 模型在疯狂进化，但算力成本的无底洞，至今没有被任何一个真正的商业闭环填满。 所谓的“盈利奇迹”，不过是算力账单在不同账户之间，左手倒右手的数字游戏。

🚀 We’ve onboarded fapi to xAPI! fapi is the provider of the Most Stable and Cost-Effective Third-Party Twitter API on RapidAPI. Now available on xAPI: ✅ $0.001 per call ✅ Pay-as-You-Go ✅ Simple integration for AI agents & developers Start building with xAPI today. Use the invitation code xapito to get $1 free credit!

Made a UI to visualize multiple AI agents playing as different civilizations, each navigating its own decision tree Most agent workflow UIs are pretty static, so I wanted to build something that feels more dynamic and fun to explore

What are some of the benefits to working with full-stack AI? @rseroter: Because Google manages the entire stack — from running the underlying infrastructure all the way up to delivering @Gmail — there's massive system reliability. If a technical failure happens at one layer, our ownership of the platform allows us to catch it and handle it at another layer easily, rather than waiting for an external provider to fix it. There's also an economic advantage. Since we aren't paying third-party vendors for anything, customers don't have to absorb those fees, which means we can offer remarkably competitive pricing.

🧵Our unique full-stack approach to AI lets us deliver powerful, cost-efficient products to developers and everyday users. But what exactly does it mean when a technology system is "full-stack,” and why is it so important to our approach? We talked to @rseroter, senior director and chief evangelist at @googlecloud, to break it all down 👇 Where does the phrase “full-stack” come from, and what does it mean when we’re talking about tech? @rseroter: The term "full-stack" originally came out in software development a decade or so ago — usually in regard to applications. Historically, building an app required multiple specialized teams: a front-end developer to build beautiful user interfaces, a back-end developer to handle server-side logic and a dedicated database team. The concept of a "full-stack engineer" emerged to describe a developer who could work across all of these functions independently. Instead of constantly handing off components from one person to another, a full-stack engineer could take an idea from a rough concept all the way to a fully running piece of software.

So what AI tools does @cz_binance use on a daily basis? Claude? ChatGPT? DeepSeek? He says he’s tried them all and actually let all his top tier subscriptions expire. What he likes to use the most might surprise you! Take a listen 👇 🎥 @TheBlockCo

Voice agents, now on Vercel. Realtime, speech and transcription are now live on AI Gateway. Build with 𝚞𝚜𝚎𝚁𝚎𝚊𝚕𝚝𝚒𝚖𝚎, 𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝚂𝚙𝚎𝚎𝚌𝚑 & 𝚝𝚛𝚊𝚗𝚜𝚌𝚛𝚒𝚋𝚎 on AI SDK 7.