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le are stable enough to guide future work. Standardization follows proven practice; it does not attempt to predict every path in advance. 4.2.2 Starting Context Starting Context draws the line between known state and assumption. A Task may begin from a blank state, a prepared environment, or an upstream result. What matters is that the source and verification status of that state remain explicit. Custom Setup records conditions prepared for the current Task, such as the model, container image, d

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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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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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pecific pooled investment vehicles — which should be read in their entirety, and only to those who, among other requirements, meet certain qualifications under federal securities laws. Such investors, defined as accredited investors and qualified purchasers, are generally deemed capable of evaluating the merits and risks of prospective investments and financial matters. There can be no assurances that a16z’s investment objectives will be achieved or investment strategies will be successful. Any

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ally devise and test and launch features that were actually moving the needle and helping teens,” Volichenko testified in federal court Monday, as part of the states’ blockbuster lawsuit against Meta alleging violations of consumer protection and privacy laws. For example, he observed that after Instagram introduced an opt-in feature that prompted teens to take a 10-minute break after extended scrolling, just 0.165% of them enabled it. When he brought up the low adoption of safety features with

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ical insight and interpretation capabilities for that precision. In the end, we want algorithms that can discover as we do: discovering causal mechanisms, symmetries, and physics laws on their own, and not systems that, however powerful, optimize for predictive skill over what we have already observed. Doing science is simply different from machines trained to perform similar tasks, and this is not inherently bad; in fact, they are powerful tools. But it reminds us that our episteme is defined b

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ith a minimal attack surface and a focus on security, like Firecracker . I had the AI agent run against Firecracker. It was able to hardlock the machine due to more Linux kernel flaws (all patched in upstream), but could not successfully escape. It may have, given even more time, but Firecracker is obviously a substantially harder target. In general, we have to become much more attentive to security fundamentals: least privilege (regarding network access, credentials, available features, etc.),

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decision, and a proprietary SDK does not. The best prompt management tools in 2026 1. Pydantic Logfire: best prompt management tool overall Prompt management in Pydantic Logfire draws a hard line between authoring and releasing. Prompts are written in the UI and saved as immutable numbered versions, and the docs are blunt about scope: "A version freezes the template, nothing else." Promotion happens elsewhere, on the backing managed variable named prompt , where you move a production label betwe

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er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

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er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

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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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n 2024, $20.9 billion in 2025, and will likely burn $30 billion or more in 2026, and why pointing to Amazon Web Services was rational when Amazon’s total capex from 2003 (the year AWS was created) to 2015 (the year AWS became profitable) is $29.7 billion, adjusted for inflation. That includes literally every ounce of capex attributable to AWS, Amazon the store, Amazon logistics, and even Amazon Alexa. For comparison, Anthropic raised $30 billion in February, and Anthropic and OpenAI have raised

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s business can only grow as fast as the HBM memory it can get, the same as every other GPU and XPU maker. And if the memory makers and Nvidia don’t want to get hit with antitrust lawsuits, Nvidia has to make sure its competitors can get capacity. Generally speaking, 85 percent revenue or shipment market share and higher has historically been the threshold for being called a monopoly by the US Department of Justice, but these days, what really matters is what President Trump thinks about your bus

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ute by 2028 Had a lot of fun chatting again with my twin brother Dylan Patel. We went through lab economics over the next few years - the shift from inference to training as RSI draws near; and how Anthropic and OpenAI are on track to control most of the world’s usable FLOPs within the next few years (because they can monetize compute better and thus outbid everyone). And then we discuss whether the $10T of total AI capex we’ll see by the end of the decade will cause a sovereign debt crisis, whe

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side conflicting measurements of how fast the universe is expanding, mean Roman could help answer big questions about the cosmos. QUICK HITS TikTok will pay $400M to settle a DOJ lawsuit accusing it of illegally collecting data from children under 13 and failing to delete kids’ accounts when parents asked. Apple is laying off 200 employees across Siri, Vision Pro gaming, and 3D-video teams, just days before John Ternus is set to take over as CEO. Tech pioneer and venture capitalist Ben Rosen , w

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rack and a global domain connecting up to 16 racks or 2,048 ASICs. We will explain the bandwidth and the topology in more detail below. Power provisioning to a sidecar host rack draws roughly 50kW provisioned (31kW in production), and the ASIC rack draws 130kW, making the total two rack system roughly 160kW. That’s basically a double-wide GB300 rack in terms of power draw. OpenAI can connect up to 2,048 Jalapeño XPUs within a single scale-up network. The scale-up network consists of two domains,

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e you up — turning one of medicine’s most routine human jobs into a robotics workflow. The details: Built by Dutch startup Vitestro, Aletta is cleared for adult outpatient blood draws; a trained phlebotomist can supervise up to three robots at once. The machine combines near-infrared imaging, ultrasound, and Doppler to distinguish veins from arteries. It then automatically applies a tourniquet, disinfects the skin, inserts the needle, swaps collection tubes, disposes of the needle, and applies a

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to wait for the full reveal, but if it's small enough to run locally — near-frontier coding on your own machine, off the cloud — it'll definitely break the internet. The Rundown : AWS Marketplace just released a free book featuring 15 chapters from senior data and AI leaders at JPMorgan Chase, Siemens, Mercedes-Benz, Roche, and more — each sharing practical advice on building the data infrastructure needed for agentic analytics and intelligent agents. Chapters cover topics including: Evolving da

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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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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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