March 2026

Writing sucked long before LLMs showed up. Sure, today’s doomsayers love pointing at ChatGPT as the villain — but they’re missing the point. Amateur blogs were copy-pasting each other’s content for years. “Serious” newsrooms published outright lies without blinking. We were already knee-deep in mediocrity. We just didn’t want to say it out loud. Here’s the part nobody wants to hear: people actually write better today. Yes, with AI’s help. And even ChatGPT’s worst hallucinations? They don’t come […]

Ver mais

:::info Astounding Stories of Super-Science October 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL Astounding Stories of Super-Science October 2022: THE MURDER OF ROGER ACKROYD – POIROT PAYS A CALL By Agatha Christie ::: I was slightly nervous when I rang the bell at Marby Grange the following afternoon. I wondered very much what Poirot expected […]

Ver mais

Welcome to HackerNoon’s Meet the Writer Interview series, where we learn a bit more about the contributors that have written some of our favorite stories. So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. I’ve spent years as a professor of engineering physics, but at heart, I’m a storyteller with a deep love for sci-fi. When I’m not in the lab, you can find me sailing, travelling, or chasing an adrenaline […]

Ver mais

We study the theoretical behavior of denoising score matching–the learning task associated to diffusion models–when the data distribution is supported on a low-dimensional manifold and the score is parameterized using a random feature neural network. We derive asymptotically exact expressions for the test, train, and score errors in the high-dimensional limit. Our analysis reveals that, for linear manifolds the sample complexity required to learn the score function scales linearly with the intrinsic dimension of the manifold, rather than […]

Ver mais

Safe reinforcement learning (RL) is a standard paradigm for safety-critical decision making. However, real-world safety constraints can be complex, subjective, and even hard to explicitly specify. Existing works on constraint inference rely on restrictive assumptions or extensive expert demonstrations, which is not realistic in many real-world applications. How to cheaply and reliably learn these constraints is the major challenge we focus on in this study. While inferring constraints from human preferences offers a data-efficient alternative, we identify the […]

Ver mais

Salesforce employs thousands of engineers and has practically ingested data from every major enterprise on the planet. They have a market cap of around $200B. But still, it is a manual process for a sales representative to figure out which accounts to prioritize and which features to pitch to which customers in order to gain revenue for their company. This is not a data problem, but an inference problem. The data already exists in the salesforce instance of […]

Ver mais

SQL is still central to modern systems, but much of the work around it is repetitive. Developers spend hours fixing typos, reformatting queries, and rewriting patterns they already know by heart. To be precise, nearly 40% of SQL time goes into these routine tasks every week. That’s a big reason AI tools are spreading so quickly. Today, about 84% of developers already use, or plan to use, AI to handle this kind of work. Instead of wrestling with boilerplate, this helps engineers focus on design, […]

Ver mais

For a long time, stablecoins were treated like backstage tools in crypto. Traders used them to move between volatile assets. DeFi users used them for lending, swaps, and yield. Outside that world, most people barely cared. That is changing. Stablecoins are starting to look less like crypto products and more like internet-native money. The real shift is not hype. It is a utility. Businesses want faster settlement. Freelancers want easier cross-border payments. Platforms want global checkout options. Users […]

Ver mais