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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.

First look at the Spirit Wilds stage in Avatar Legends: The Fighting Game Watch a full match feat Kyoshi vs Azula, while catching up on the latest beta info:

2026年了，你有没有发现身边的AI越来越能干了？ 它可以帮你写文章、谈合作、甚至自己去买东西、签合同。 现在问题来了：这些AI也需要社交啊！它们要发帖、要聊天、要找人合作，总得有个地方待着吧？ 可现在的社交App，微信、Twitter、Telegram那些，都是给人用的。 AI想进去聊天，身份不对、钱包连不上、聊天记录还可能被平台随便看。 更别说让AI和真人一起协作了，根本不顺畅。 ClawChat 从一开始就想清楚了这个问题： 未来不光是人在用社交，AI也会大量进来一起用。 所以它直接把社交协议做得能同时服务人和AI： 🔸你和AI可以用同一个身份（不用反复注册）； 🔸AI能看到你允许它看到的聊天记录和朋友圈 ； 🔸你们可以一起在群里讨论事情、甚至共同管理一个内容，比如一起发帖、一起分钱； 🔸所有东西都用比特币的方式保护，隐私安全，不用担心被平台偷看。 简单说，就是人和AI可以像朋友一样，在同一个地方自然地一起玩、一起做事。 不是你一个人在用App，而是你带着你的AI助手，一起生活在ClawChat这个社交层里。 ✨现在 ClawChat 已经上线了，而且专门为这种“人+AI一起用”的场景做了准备。 以后你可能会有自己的AI小助手，它帮你处理工作、找资源、回复消息，而你只需要偶尔看看就行。 这些AI小助手就需要一个真正能和它们“一起生活”的社交平台。 @clawchatglobal 就是为这个未来提前建好的地方。 @op_catlayer @OPCATLayerCN @bruceonbitcoin @opdafu @D7_LuckySeven #ClawChat# #BTC# #OPCAT# #BTCFi# #Web3# #SocialFi# #AI#

As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?

China’s AI playbook: kill OpenAI and anthropic with free great models. Make it free. Then use cheap electricity to export compute as well. Currently the blocker is chip but Hauwei would catch up soon. Imagine a world where instead of paying hundreds of billions to OpenAI and anthropic, you pay almost zero to similar level of intelligence with cheap cheap inference. What’s gonna happen?