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I was on a call with a client a few weeks ago. They run a media company. We were building their AI system. Connecting data sources. Writing skills. Getting the team ready to use the thing at scale. We were about to connect calendar and email. Then they stopped me.
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It’s the 2nd week of Shipaton and I thought it was a good time to take a moment to document my progress on the submission. Note: This is the 2nd post about my work towards shipping an app for the Shipaton 2026 hackathon. If you want to read from
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PageRank is often remembered as a ranking algorithm. But Google’s deeper contribution was architectural: a search stack that separated crawling, indexing, and ranking into modular stages, pushed heavy computation offline, and kept query-time serving lean. Those same design pressures now shape modern LLM systems, where retrieval, embedding, caching, indexing,
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The hire that quietly costs you a quarter You're about to open a product designer role. Strong portfolio, good taste, five years of experience, the usual. Before you post it, let me describe what happens next, because I've watched it from the inside. Weeks one to
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Disclosure: I represent AI Robot Supplier, which lists quadruped robots and other advanced technology products. This article discusses a product category connected to my work. Robot dogs once looked like expensive laboratory experiments built mainly to impress audiences. Today, quadruped robots are becoming smaller, more affordable and more capable of
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I almost delivered a paid cut built from three different AI tools without checking whether all three actually let me sell the result. The clips looked fine sitting next to each other in the timeline. The paperwork behind them did not. Most AI video and voice tools do let you
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For a long time I mixed all of this up. Exactly one thing was clear in my head: there's SFT, where you train the model to predict token after token. After that it turned into soup. RLHF, PPO, DPO, RLVR, GRPO, reward model, value function. A pile of
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When engineering teams grow, so do the challenges. When teams scale, the promise of rapid innovation is real, but so is the risk of losing shared context and creating bottlenecks that slow everyone down. For engineering leaders, the challenge isn’t just shipping more code, but how to do it
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Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. 1. What is your company in 2–5 words? AI-powered neuro-inclusive climate education. 2. Why is now the time for your company to exist?
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Why every TLS termination is a separate migration boundary A cloud application rarely has one TLS connection. A single API request can be decrypted and re-encrypted at a CDN, a web application firewall, an API gateway, a load balancer, a service-mesh proxy, an application runtime, and a managed cloud endpoint.
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AI agents are being used more in high-pressure situations such as managing email, running code, interacting with financial APIs, and supervising multi-agent pipelines. However, the current taxonomy of adversarial attacks was mostly proposed for classifiers and generative models alone and fails to adequately describe the testbed of an agent with
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If your phone is starting to give you a hard time by slowing down or running out of storage after taking one picture, it might be time to upgrade. The good news is that you don’t have to empty the bank on a new phone. There are solid options
