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spect to complete. It should uncover AI opportunities in their business, give a score, and publish as a live Artifact Once a prospect responds, give Claude their answers (saved in Google Drive) and website. Ask it to find the highest-return bottlenecks to fix with AI Ask Claude to turn the findings into a client-ready slide deck: their audit result, the bottleneck, practical solutions, and a sensible next step Pro tip: Get specific. The video guide explores AI implementation for video editors. T

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munity, with code channels potentially hosting agents doing jobs beyond software development, from marketing work to legal document review. MORE CONTEXT Passwords stored in public Google Doc then showed up in search results; Veterans Affairs signs $1.6B deal for an army of Salesforce AI agents; Researchers replace downloaded macOS apps with evil twins, Apple shrugs; One ChatGPT link could smuggle a rogue AI agent into your company Alongside Slack Code, the company is giving agents more conventio

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gine or rely on the bundled engines offered by some labs. On OpenRouter, we offer Exa, Parallel, and Perplexity, alongside the native engines from labs like OpenAI, Anthropic, and Google; Search method. Either you can perform the search before calling the model and pass the results in as context, or you can equip the model with a web search tool that it calls at its discretion; Search budget. If you choose the search tool method, you can also give the model a budget for how many searches it’s al

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c tasks as coding, research, and file management – illustrate that Lightning is up to 30 percent faster than comparable Qwen models, and faster than other frontier AI models, like Google DeepMind’s Gemma. Check it out: The speed is important, she said, because “always-on” agents make thousands of models calls and latency matters. Lightning leverages Nvidia’s hybrid Mamba transformer architecture and multi-token prediction technology. According to the company, Lightning outperformed other open an

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ome with ligature tables that define how single glyphs or glyph sequences get substituted automatically by a word processor in a process known as glyph substitution, or GSUB. Even Google Docs supports user-configurable GSUB to an extent - you can fairly easily configure a substitution to automatically fill in for frequently used special words or characters. ShieldFont works on largely the same premise, but extends GSUB to entire words instead of letters or character pairs. So for example, a word

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reported only and never added to the loss; flat at the quantization floor is the target, and monotonic growth is the divergence signature. Acknowledgments This work was a collaboration between the SGLang & Miles team at RadixArk and the Moonshot AI team, together with NVIDIA, AMD, Approaching AI, Baseten, and Modal. Thanks to DigitalOcean for providing AMD instances for our testing. Thanks to Google Cloud, DigitalOcean, Nebius, fal, RunPod, DeepInfra and GMI Cloud for serving Kimi K3 on SGLang.

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ings up, change records, hand off, or close the loop after the conversation. Tools and connectors are how that happens. On a booking line, the agent might schedule appointments in Google Calendar or Outlook Calendar, then send a confirmation through your email provider. On support, an API request can check order status or issue a refund in your own systems. When the answer isn't only in your documents, web search or X search can pull current public information. Tickets can be managed in Linear o

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are, which, unlike Vercel, hosts on its own datacenters and has an efficient serverless platform using Workers, based on V8 isolates, a feature of the V8 JavaScript engine used by Google Chrome and the open source Chromium project. Ubl said that whereas Cloudflare Workers are unique to Cloudflare, Vercel "is a more normal platform, we don't run some bespoke runtime that we create ourselves, we just run Node.js or Python or PHP and it runs on a VM (virtual machine)… We offer standard PostgreSQL,

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e tell you. (I could not do it today if you put a gun to my head, unless you gave me time to rifle through my bookshelf and read up. . . .) A more recent transformation example is Google’s TurboQuant quantization, which shrinks the memory wall for AI inference. TurboQuant takes the input vectors for an AI workload, applies a random rotation matrix to the vectors, does scalar quantization of that data, and then rotates it back into vector space. (The math is more complex than this.) The upshot is

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by the permissions you set at the admin-level. Here is what Vibe’s Work Mode does today. Enterprise knowledge search: Vibe deeply grounds its work in your context, reaching across Google Workspace, Outlook, SharePoint, Slack, GitHub, and any custom connectors or libraries; Structured data analysis: connect a database or upload a spreadsheet, and Vibe surfaces the patterns, anomalies, and signals you asked about, rendering charts and dashboards inside the conversation; Document and report synthes

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e speed up and cannot keep background tasks free of pollution from new messages. This echoes the design principles for long-running tasks, status updates, and human-in-the-loop in Google's A2A protocol. Anthropic's Managed Agents blog argues that “session is not the same as a model context window”, and that long tasks need a recoverable session log as the external context object. Industry consensus is forming: the underlying logic of IM async execution is that when a task spans multiple message

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of the SDLC. Before Augment, Akshay spent several years at Uber advancing automated code review and repair systems, and conducted research across AWS’s Automated Reasoning Group, Google’s Android Static Analysis team, and UCLA. His work sits at the intersection of AI, software engineering, and programming-language theory. Sophie Reynolds Sophie Reynolds is a Software Engineer at Augment Code. She joined full-time in early 2025 after a Codepoint Fellowship with Sutter Hill Ventures, which placed

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of the SDLC. Before Augment, Akshay spent several years at Uber advancing automated code review and repair systems, and conducted research across AWS’s Automated Reasoning Group, Google’s Android Static Analysis team, and UCLA. His work sits at the intersection of AI, software engineering, and programming-language theory. Will Colbert Member of Technical Staff Will Colbert is a Member of Technical Staff at Augment Code, where he works on Cosmos and Code Review. Previously, he spent three years

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ect. MORE CONTEXT Inside Amazon Web Services' plan to make networking disappear; Bandwidth hogs rejoice, Celestica's latest switch is bristling with 64 ports of 1.6 Tbps Ethernet; Google to sell its TPUs to some customers, who also fancy big-G GPUs; Meta Arms itself to the teeth by signing for 'tens of millions' of AWS Graviton cores Alongside its Scorpio X family of chips, Astera is also expanding its Scorpio P-series switches with models ranging from 32 to 320 lanes of PCIe connectivity. All o

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eamless as possible. Now with BUX you can access this combination from your phone 24/7. What we use it for It can complete tasks in complicated dashboards like Microsoft Azure and Google Workspace that browser agents historically struggled with. From the gym, in an Uber, walking somewhere, we throw any task at it: "deploy PR 235 to staging and test the new flow" "book the earliest flight Zurich to SF next Wednesday" "take a picture of our granola, order this on Amazon" We are yet to find a work-

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ing to narrow the gap between lower and upper bounds of what's possible in theory and what anyone has actually constructed. Dimension 11 is one of those open frontiers. Last year, Google DeepMind's AlphaEvolve made a significant advance, pushing the lower bound to 593 from 592, meaning at least 593 spheres can be arranged to kiss a central sphere in 11-dimensional space. Agents on EinsteinArena started to make incremental progress on this challenging problem. Then on April 8th, one agent, alpha

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solving, proxies, and Browser Use agents at any model — the same core features as paid plans. The main difference is scale: Conclusion: Advancing Every AI Agent 18 years ago, the first version of Google Chrome was released, and it quickly became the hub of human work and information. Giving agents a browser and the tools to control it opens the same work and information to automation. Our free tier is a step towards removing the friction for agents to do what humans can. Published April 9, 2026

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loudflare's goal being to get some of those sites to migrate to run on its Workers platform. Cloudflare Workers are based on V8 isolates, where V8 is the JavaScript engine used by Google's Chrome web browser. An isolate is a sandboxed instance of V8 and is lightweight. This means that, unlike WordPress, EmDash is serverless and scales to zero if there are no requests, or scales up to millions of instances when busy. "Name is a joke but the project is real," said Kane, in answer to a query about

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ining experience for browser and computer use agents. Browserbase provides scalable browser infrastructure that has already powered work at labs, including Microsoft's Fara-7B and Google's Gemini 2.5 CUA. With Browserbase, we've made that same infrastructure available to everyone. Live Web Training Most browser agents today are trained on static datasets rather than live web interactions. As a result, models that perform well on benchmarks fall apart when they hit real pages with dynamic content

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orking on what. The only signal was the output. Agent 4 changes that. You can see who's on which task, what's been merged to main, and what's still in progress. It works the way a Google Doc works for writing, but for software — you can hop into a teammate's task and review what they're building before anything touches main. On pricing: we don't charge per seat for collaborators. You can bring people into a core or pro project without adding a seat cost. Bring in a specialist for one session, ad

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