For centuries, the architecture of the firm has barely changed: hierarchies of people organized into departments and coordinated through bureaucracy. AI agents are about to upend that. We’re moving toward the self-driving company where humans exercise judgment and agents execute most of the work. At Replit, we’re building the foundation for this new kind of company. We’re calling it “the Agent Habitat.” Marc Andreessen wrote a fantastic piece placing this shift in the history of computing. Every major computing revolution began with chaos before businesses figured out how to harness it.

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My work dot "Burger" coordinated with my personal dot "Dorito" over email at my personal dots request to get documents, which then coordinated with with my CPA in order to file some tax stuff. Took 20 minutes. We're still so early.

AI Agent 现在不缺 Demo，缺的是能真正跑出用户、交易和收入的项目。 @MetisL2 推出了 Metis Rise，一个面向 AI Agent Builder 的月度激励计划，重点支持真正跑在链上的 Agent 应用，包括 x402 支付、ERC-8004 身份、Stablecoin Escrow、链上凭证等方向。 这次他们关注的不是“做没做出一个 Agent”，而是更实际的几件事： • 有没有真实用户 • 有没有真实链上交易 • 能不能完成支付与结算 • 有没有可验证的身份、信誉和交付凭证 • Agent 能不能真正参与经济活动 如果你正在做 AI Agent、Agent Commerce、支付、身份或任务市场相关产品，这个计划值得关注。

This is a good way to understand how early we actually are in AI diffusion right now. The vast majority of people are using AI as a chatbot for simple interactions that approximate next-generation search. This is super useful but dramatically underrepresents the full capability of AI. On the complete other end of the spectrum, agent swarms represent possibly the ultimate form factor of what agents will do inside of our workflows. Math, cyber, bio, materials science, software engineering, finance, and any other field that has valuable tasks that can be executed in parallel where compute can be applied to accelerate work all have this characteristic. Less than a fraction of a fraction of the population uses AI in this way right now, due to a mix of the capabilities of models relative to the user's domain, the cost of doing these types of workflows today, the harnesses available to do this style of AI work, and the availability (or lack thereof) of frontier models to the general public. There will also be a huge amount of change management necessary to get most areas of work -beyond software and AI research- to benefit from this style of agents. Companies need to upgrade their workflows, data needs to integrated and migrated into modern platforms, and companies will need to work through compliance, governance, and security frameworks to pull it off. But this all represents opportunity right now. A lot of this is where the applied layer of AI will really shine in the enterprise because of the domain specificity of this type of work. You can get an early sense of where things are going and the opportunity ahead by seeing through the funnel that Andrej lays out.

Metis 宣布推出全新月度开发者激励计划 Metis Rise: Rise to the Top 🚀 专为能够超越 Demo、产生真实链上交互与服务实际用户的 AI Agent 打造。联合生态及媒体伙伴，共同助力 AI Agent 生态落地。 更多细节即将来袭，Builders 准备好了吗？🔥