March 2026

:::info Astounding Stories of Super-Science October, 1994, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Picture of Dorian Gray – Chapter XIII Astounding Stories of Super-Science October 1994: The Picture of Dorian Gray – Chapter XIII By Oscar Wilde ::: He passed out of the room and began the ascent, Basil Hallward following close behind. They walked softly, as men do instinctively at night. The […]

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Model-based offline reinforcement learning (RL) aims to enhance offline RL with a dynamics model that facilitates policy exploration. However, textit{model exploitation} could occur due to inevitable model errors, degrading algorithm performance. Adversarial model learning offers a theoretical framework to mitigate model exploitation by solving a maximin formulation. Within such a paradigm, RAMBO~citep{rigter2022rambo} has emerged as a representative and most popular method that provides a practical implementation with model gradient. However, we empirically reveal that severe Q-value underestimation and […]

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Cybersecurity researchers are increasingly raising alarms about a new class of malware powered by artificial intelligence. Unlike traditional malicious software that relies on fixed code and predictable signatures, this new generation can rewrite parts of its own code automatically, allowing it to evolve during an attack and evade many conventional security tools. Traditional malware campaigns usually deploy a single codebase or a limited number of variants. Security systems detect these threats by identifying known patterns such as file […]

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In AI, speed helps. But speed does not tell you whether the thing you are building will still matter when the next model lands. Most founders think the danger is moving too slowly. So they push for the obvious fix. Ship faster. Hire faster. Raise faster. Get something into market before someone else gets there first. That logic makes sense in most startup markets. It breaks more often in AI. Because a lot of AI startups do not […]

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When building new teams or organizations from the ground up, we usually start with a handful of people who own every piece of the product. In the process of building systems in fast-paced environments, we often create “Hero”es. A hero is a person who pulls an all-nighter to fix broken systems, stepping in at the last minute to save us from a failed deployment and by doing so, they carry the weight of an entire organization on their […]

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Most Google Ads accounts are bleeding money quietly. Not from one catastrophic mistake, but from a dozen small misconfigurations that compound silently while the dashboard shows green. Campaigns are running. Spending is flowing. And somewhere between 40% and 65% of the budget is generating nothing useful. The pattern is consistent: A company spending $40–50K/month on paid search, leads costing $500–600 each, and a team that’s tested headlines and adjusted bids but never touched the structural layer underneath. Restructure […]

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Large Language Models (LLMs) are pivotal in natural language processing. The impracticality of full fine-tuning has prompted Parameter-Efficient Fine-Tuning (PEFT) methods like Low-Rank Adaptation (LoRA), optimizing low-rank matrices A and B. In distributed scenarios where privacy constraints necessitate Federated Learning (FL), however, the integration of LoRA is often unstable. Specifically, we identify that aggregating updates from multiple clients introduces statistical variance that scales with the client count, causing gradient collapse when using high-rank adapters. Existing scaling factor candidates, […]

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:::info Authors: Loïc Barrault Yu-An Chung Mariano Coria Meglioli David Dale Ning Dong Paul-Ambroise Duquenne Hady Elsahar Hongyu Gong Kevin Heffernan John Hoffman Christopher Klaiber Pengwei Li Daniel Licht Jean Maillard Alice Rakotoarison Kaushik Ram Sadagopan Guillaume Wenzek Ethan Ye ::: Abstract Creating the Babel Fish, a tool that helps individuals translate speech between any two languages, requires advanced technological innovation and linguistic expertise. Although conventional speech-to-speech translation systems composed of multiple subsystems performing translation in a cascaded […]

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