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A hands-on look at long-horizon AI agents — and why this technology will matter whether you're running a Fortune 500 or a five-person startup. I tried something this past week. I wired up an AI agent — my local vLLM serving Nemotron-3 Nano Omni alongside a cloud-hosted GLM-5.1 — handed
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You secured the budget. You bought the GPUs. You stood up the clusters. So why can't anyone tell you how much compute you actually need next quarter? We're Using the Wrong Playbook Traditional capacity planning was built for a world of web servers and database queries.
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I test software used in operating rooms. Not metaphorically — the platform I work on is part of how surgeons train on robotic systems and how hospitals track clinical readiness. When something breaks in that environment, nobody gets a 500 error page. Critical records become inaccessible to the people who depend
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Let's learn about Machinelearning via these 107 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the Learn Repo or LearnRepo.com to find the most read blog posts about any technology. Machine learning is a subset of AI enabling systems to learn from data,
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For decades, the gap between finding a software vulnerability and weaponizing it has been one of the quiet stabilizers of the internet. Skilled researchers might spend weeks converting a bug report into a working exploit. That gap is closing. The release of Claude Mythos Preview, Anthropic's most capable
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You have 80GB of VRAM. Your 70B model weights eat 35GB in fp16. So you have 45GB free for inference, right? Wrong. Here's why production LLM serving is a memory management problem masquerading as a compute problem and what the best systems in the world do about it.
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Most CI/CD tutorials show you how to deploy a hello-world app. This one doesn't. By the end of this series, you'll have a pipeline that builds, tests, scans for security vulnerabilities using AI, and enforces cost guardrails before anything reaches production. The kind of pipeline
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The current AI conversation is obsessed with model size. Every few weeks, there is a new milestone: a larger context window, a stronger benchmark score, a model that reasons better, writes better, or appears to know more. It is easy to come away with the impression that better AI products
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Editor’s Note: The following is a work of speculative fiction written from the perspective of an AI agent. He's gone mad! Did you hear that? They write code for a new browser. Google is not enough for them, Yandex? Another one is Mozilla, don't reread
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Starting this summer, Whoop users in the US will have access to on-demand video consultations with licensed clinicians from within the fitness tracker's app. Along with that, the wearables company also announced on Friday that it is adding support for Electronic Health Record (EHR) syncing, so members and
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How will work setups change if we spend more and more time talking to our computers? A recent feature in the Wall Street Journal looks at the rising popularity of dictation apps like Wispr, especially now that they can be connected to vibe coding tools, and what that might mean
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As AI (artificial intelligence) and cloud computing continue to expand, data centers are facing growing pressure to reduce energy consumption while maintaining performance. As a result, researchers are developing new mathematical and algorithmic approaches to make these systems more efficient and sustainable. As one example, researchers at Virgina Tech are
