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; the non-NVIDIA figure is spread across AMD and a custom Broadcom part that has not yet shipped at volume. Anthropic’s non-NVIDIA number is, if anything, understated, because its AWS Trainium and Google TPU commitments are only partly disclosed in gigawatts and are therefore not fully charted. Still, the direction is clear. Frontier labs are no longer choosing a single chip vendor. They are assembling compute portfolios: NVIDIA for the broadest software ecosystem and fastest path to scale, TPUs

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ct Enterprise plans,1 Fable 5 will be included for up to 50% of weekly usage limits through July 7, after which it will be available via usage credits. We will re-enable access on AWS, Google Cloud, and Microsoft Foundry as quickly as possible. We have also restored access to Mythos 5 for a set of US organizations, following the US government’s approval on June 26. We continue to coordinate with the government to expand access to the broader set of domestic and international partners in the Glas

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You’ve embraced what platforms like TikTok and Instagram can do to bring music to people – and now you're one of the first classical composers building seriously on Hooks. What draws you to new platforms before many people in your world are paying attention to them? Andy Warhol said in the future everyone will be famous for 15 minutes. It's very true in today's modern age. It's very easy to be popular for a short time. But to stay relevant for a long time – that's what is difficult. I believe t

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ow walks you through a stack trace before you go digging in the docs. When you search for the difference between an AI agent and an AI assistant, though, most of what comes back draws a tidy line between the two that no longer matches how this works in practice. The short version for coding is a little less satisfying than the usual comparison. The traits that used to separate an assistant from an agent, like short memory, one tool call at a time, and a single-task ceiling, now describe almost e

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c adjustments to align resource use with our macroscopic goals. How do Modal Servers work? The resulting implementation looks like this: The core of the routing system runs in our AWS Elastic Kubernetes Service. As we’re fond of saying, Kubernetes wasn’t built for inference — but it was built for scaling high-availability distributed proxies. In contrast, the user containers and the custom container runtime supporting them are managed by our scheduling system, not Kubernetes, and they run on doz

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lo act. According to our research, it’s not anymore. Share Figma's 2026 AI report: Can AI help us collaborate better? Illustrations by Zoé Maghamès Peters Figma’s 2026 AI report draws from three years of data, including 8,403 total survey responses and 639 qualitative interviews from designers, developers, and product managers. This year, we expanded coverage from seven markets to ten, adding Brazil, India, and South Korea to samples in the United States, United Kingdom, Japan, Germany, France,

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tonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raskin's 3 laws of software with humane work that considers a dev's duty of care All this, and angry NeoVim users; Firefox 157: Could bold new look be just what Mozilla needs? Yet another new version of Firefox, with a significant reskin; KDE turns 30 and someone's brought an AI-native desktop proposal Akademy talk imagines Plasma

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ctory sync to enable Vercel in a team to be managed by the organization's identity system. Finally, Bring Your Own Cloud (BYOC) lets organizations use Vercel's platform running on AWS infrastructure provisioned by the customer. According to Vercel, Passport was a highly requested feature because of the number of employees who create applications hosted by Vercel but outside the control of the organization. A typical scenario is that an employee builds an application with AI assistance, and the A

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e follows one principle: CPT injects, SFT activates, RL sharpens. Stage 1: Continual Pre-Training (CPT) injects environment knowledge through non-thinking trajectories. The data draws from dedicated agent infrastructure (containerized execution sandboxes, MCP servers, Android/web/OS emulators), open environment interaction traces, and in-house agentic trajectories. Beyond environment data, we incorporate specialized-domain world knowledge corpora spanning industrial control, cybersecurity, law,

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AI technology. I heartily agree with him, and hope this week’s events will ultimately prove to be constructive steps toward this. I hope we can build a more free, more open world, where research is freely shared, and laws and societal norms shape a level playing field that allows everyone to make progress. A silver lining of the events of these past two weeks is now that everyone better realizes key points of instability of the current system, we can all work to create a more stable foundation.

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t from hearing) are ingesting far less than the 200 million language tokens we calculated earlier, and even this is sufficient for them to be fully general intelligences; Scaling laws tell us that bigger models are more sample efficient. The human brain is 100T synapses - if each synapse is 1 parameter, and frontier models are currently roughly 5T parameters, then maybe we could achieve human-level sample efficiency with another order of magnitude or two of parameter scaling.The way the scaling

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f open source software. Every day, new ideas or solutions are being coded up in a dorm room, garage, or basement, all because open source lets innovators create without fear of a lawsuit or an expensive bill. Open source is pro-competition because it helps the underdogs challenge and compete with the large incumbents, keeping monopolistic threats at bay. Linux, the open source operating system that now runs more than 90% of the world’s cloud computing infrastructure, was the antidote to the Wind

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of the most time-consuming parts 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. Related reading We benchmarked 7 AI code review tools on large open-source projects. Here are the results; How coding AIs will support large-s

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lligence per dollar than other frontier models. Input : $1.25 per 1 million tokens Output : $2.50 per 1 million tokens It features a 1 million context window that handles extremely long documents and codebases with ease. Developers can also configure reasoning: Use none for maximum speed on simple requests, or low / medium / high to scale reasoning effort to the difficulty of the problem. Build with Grok 4.3 on Amazon Bedrock Grok 4.3 is now available to all developers in supported AWS Regions .

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ead it aloud The cheapest test in voice design costs nothing. Before you ship a converted flow, read it aloud. If you run out of breath on a turn, the caller will too. This post draws on chapter 9 of the Voice Agent Playbook, which covers conversation design in full, including the pre-launch checklist. Table of Contents Your next customer call may come from a personal agent. Don't turn it away How AI voice agents tell the difference between a live person and a voicemail Best AI voice agents for

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tonking Stingray' beta swims out: Deeper Rust 'oxidization' plus LLM speech-to-text GNOME 51 is here, and Ubuntu interim releases are getting interesting again; Revive Raskin's 3 laws of software with humane work that considers a dev's duty of care All this, and angry NeoVim users; Firefox 157: Could bold new look be just what Mozilla needs? Yet another new version of Firefox, with a significant reskin; KDE turns 30 and someone's brought an AI-native desktop proposal Akademy talk imagines Plasma

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otManip , and Qwen-RobotWorld — each aligning language with a different domain of physical action. We pursue generalization across language instructions and adherence to physical laws, and have achieved significant progress on both fronts. In this post, we also explore the potential of these models as low-level tools for building general-purpose agentic systems. Qwen-RobotNav : The Gateway to Mobility for Physical Agents — bridges the vision-language representation space into mobility actions th

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e company’s AI Code Review agent, bringing research-grade program analysis and modern GenAI techniques together to automate one of the most time-consuming parts 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. Related reading

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That is the unusual part. Firecracker is normally run on bare-metal servers, where you rent the whole physical machine. To reduce customers' cost, we run it on regular EC2, where AWS has already put your server inside a VM. This should be slow. Nested VMs make memory and CPU operations more expensive, and Chromium takes time to start. This post is about how we made this setup fast and efficient. But first, why did we rebuild our infrastructure? When we first built our browser infrastructure on

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