与「Surface」相关的搜索结果

v0.2.0 for @threejs Awesome Graphics Agent Skills is out npx threejs-awesome-graphics-agent-skills@latest install --agent codex I added 5 more examples based on 5 open source projects i saw on X with awesome graphics: - @sabosugi lava planet surface - @andreeliasdev stylized grass - @chirovisuals clear water ocean - @DallaPozzaG stylized ocean above/below - @jeantimex interactive water volume Thank you for your awesome creations!

微软：8GB 内存也很棒哦！微软更新 #Surface# 购买指南，称 8GB 也非常适合日常使用，例如浏览网页、看视频和运行办公软件。 要知道 Win11 推荐内存就是 16GB，只不过当下内存价格太贵，微软也不得不捏着鼻子推出 8GB 硬件，还要违心的说 8GB 内存也很棒！ 查看全文：

Let's talk Vehicle Dynamics Control (VDC). With high resolution sensing and precise multi-motor controls developed in-house, the Tesla Semi provides torque and stability even on the trickiest of winter surfaces.

everyone is talking about agent loops, harnesses, and self-evolving agents. but almost no one is talking about the actual hard part: you cannot run a company on one giant agent with every tool, every file, and no accountability. that's not autonomy. that's a fog machine. here's how we're building an agent company OS inside Matrix. — the stack: Workspace Brain → Matrix Runtime Orchestrator → Department Verticals → Department Lead Agents → Worker Agent Pool → Proof / Check-in Loop Matrix is not a chatbot. it's an operating system for autonomous work. — the workspace brain is the company boundary. it gets loaded with the things a real company actually runs on: → product docs → codebase context → chats, files, goals → operating rules → prior runs + examples of good work → approvals, memory, skills this isn't "context." it's the shared operating layer. it knows what the company knows, what it's trying to do, who owns what, what good looks like, and what must be proven before work counts as done. — on top sits the Matrix Runtime. it coordinates wake, cron, department messages, OKR state, permissions, worker dispatch, proof ledger, memory updates. under the runtime, work is organized into departments. a department is not a chat thread. it's a long-running agent with identity, memory, skills, goals, history, tool boundaries, taste, and accountability. Founder Strategy. Product Engineering. Growth. Ops. Research. each one has a lead agent that decides what happens, reads the relevant Memory Skill, breaks work into scoped tasks, and picks the right execution seat. — sometimes that seat is a native Matrix worker. sometimes Codex. sometimes Claude Code. sometimes a browser / computer automation worker. the point is not "one model does everything." the point is: → the right agent → with the right context → inside the right boundary → using the right tools → with a clear definition of done — this is why scoped workers matter. a "do everything" agent is too vague. but: → a release worker with repo context, tests, and approval gates → very good → a Codex worker scoped to one patch and one validation path → very good → a Claude Code worker doing deep repo analysis → very good → a browser worker with a specific flow and proof requirement → very good narrow scope reduces drift. Memory Skill keeps narrow agents from going blind. proof prevents fast output from pretending to be progress. — that is the loop: Workspace Brain → Department Lead → Worker → Artifact → Proof → Check-in → Memory Skill update every cycle, the company gets smarter. that's the real self-evolution. not a single agent rewriting its own prompt in a void — but a whole org compounding through proof. — each workspace is an isolated agent company. its own brain, departments, memory, workers, proof ledger. workspaces can talk when needed. but context should not bleed by default. isolation is not a limitation. it's what makes the system usable. — once a department pattern works, you fork the pattern — not the raw context. you still customize memory, examples, approval gates, tools, voice, definition of done. but you're not starting from zero. you might already have 70% of the OS for that kind of work. — what this actually changes: a small team of strong operators can now run surfaces that used to require entire departments. but only if the agents are actually good. and good agents don't come from connecting more tools. they come from source material, taste, iteration, narrow scope, workflow design, proof, memory, and human judgment. vague agents just create vague output faster. Matrix is our attempt to build the opposite: an agent company OS where autonomous work has structure, memory, ownership, and proof. the loop is the product.

RoonChain’s internal audit phase has been completed. Next up: a full formal audit process with internationally recognized accounting, legal, and code security audit partners. This is a big step toward stronger transparency, better structure, and a more mature foundation for everything we’re building. And yes — the RoonChain stablecoin system is being positioned as one of the future hubs of Web3 finance. Stable assets. Real infrastructure. Global liquidity. We’re not just polishing the surface. We’re building the rails underneath. Buckle up — this is where things start getting real. 🚀 #RoonChain# #Web3# #Stablecoin# #RWA# #DeFi# #Crypto#

How knowledge work actually gets done is changing. The knowledge work surface that orchestrates autonomous agents across your entire work environment. No more manual coordination. Just results. @AmazonQuick works across Slack, email, calendar, files, and your AWS data. Learning what matters to your team and scaling the work automatically.

The US government has given four Ocean Aero Triton autonomous underwater and surface vehicles to the Philippine military to boost Manila's ability to monitor its waters and spot potential threats, the US Embassy in the Philippines said