Loss Landscapes: Part 2

Loss Landscapes: Part 2

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And why they matter in Machine learning! Read Loss Landscapes: Part 1 In the previous part, we learned what loss landscapes are, how they are formed, and the difference between simple, convex bowls and rugged, non-convex mountains. But knowing what the landscape looks like is only half the battle. How do we actually find the bottom of those valleys to train our machine learning model? 6: Gradient Descent Gradient descent is the core optimization algorithm in machine learning. Its entire job […]

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Extrapolating Volition with Recursive Information Markets

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arXiv:2604.08606v1 Announce Type: new Abstract: One of the impediments to the efficiency of information markets is the inherent information asymmetry present in them, exacerbated by the “buyer’s inspection paradox” (the buyer cannot mitigate the asymmetry by “inspecting” the information, because in doing so the buyer obtains the information without paying for it). Previous work has suggested that using Large Language Model (LLM) buyers to inspect and purchase information could overcome this information asymmetry, as an LLM buyer can […]

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LWM-Temporal: Sparse Spatio-Temporal Attention for Wireless Channel Representation Learning

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arXiv:2603.10024v1 Announce Type: new Abstract: LWM-Temporal is a new member of the Large Wireless Models (LWM) family that targets the spatiotemporal nature of wireless channels. Designed as a task-agnostic foundation model, LWM-Temporal learns universal channel embeddings that capture mobility-induced evolution and are reusable across various downstream tasks. To achieve this objective, LWM-Temporal operates in the angle-delay-time domain and introduces Sparse Spatio-Temporal Attention (SSTA), a propagation-aligned attention mechanism that restricts interactions to physically plausible neighborhoods, reducing attention complexity by […]

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Gemini can now create personalized AI images by digging around in Google Photos

Gemini can now create personalized AI images by digging around in Google Photos

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Google began rolling out “personal intelligence” in Gemini early this year, giving AI subscribers the option of a more customized experience when using the company’s chatbot. Today, it’s using personal intelligence to tie its image-generation model to Google Photos. If you opt in, generated images will have access to your photos and associated labels to simplify prompts and produce more accurate AI images. This change essentially streamlines an existing workflow. Google’s Nano Banana 2 is among the best […]

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Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K–12 Science Instructional Materials

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arXiv:2602.13243v1 Announce Type: new Abstract: Designing high-quality, standards-aligned instructional materials for K–12 science is time-consuming and expertise-intensive. This study examines what human experts notice when reviewing AI-generated evaluations of such materials, aiming to translate their insights into design principles for a future GenAI-based instructional material design agent. We intentionally selected 12 high-quality curriculum units across life, physical, and earth sciences from validated programs such as OpenSciEd and Multiple Literacies in Project-based Learning. Using the EQuIP rubric with 9 […]

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What is RAG? A Beginner's Guide to Retrieval-Augmented Generation

What is RAG? A Beginner’s Guide to Retrieval-Augmented Generation

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Not long ago, all large language models (LLMs) had what we called a knowledge cutoff. This meant they only knew information up until a certain date — anything that happened after that, they simply couldn’t help you. Today, that’s changed, at least for cloud-based LLMs like ChatGPT. These models can now access real-time or recent information. So if you ask something like “Who won the Australia 2025 elections?”, ChatGPT can give you an up-to-date answer: The Australian Labor […]

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Robotic Assembly Using Deep Reinforcement Learning

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Introduction Disclaimer: This article is a cross post from Pytorch Medium Blog Post. One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement Learning (DRL). DRL belongs to the family of machine learning algorithms. It assumes that intelligent machines can learn from their actions similar to the way humans learn from experience. Over the recent years we could witness some impressive real-world applications of DRL. The […]

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Discovering Differences in Strategic Behavior Between Humans and LLMs

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arXiv:2602.10324v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becomes critical to understand where and why their behavior diverges from that of humans. While behavioral game theory (BGT) provides a framework for analyzing behavior, existing models do not fully capture the idiosyncratic behavior of humans or black-box, non-human agents like LLMs. We employ AlphaEvolve, a cutting-edge program discovery tool, to directly discover interpretable models of human and LLM […]

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Effects of Training Data Quality on Classifier Performance

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arXiv:2602.21462v1 Announce Type: cross Abstract: We describe extensive numerical experiments assessing and quantifying how classifier performance depends on the quality of the training data, a frequently neglected component of the analysis of classifiers. More specifically, in the scientific context of metagenomic assembly of short DNA reads into “contigs,” we examine the effects of degrading the quality of the training data by multiple mechanisms, and for four classifiers — Bayes classifiers, neural nets, partition models and random forests. We […]

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The HackerNoon Newsletter: 10 AI Marketing Strategies for Startups in 2026 (1/2/2026)

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How are you, hacker? 🪐 What’s happening in tech today, January 2, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The Palmer Raids began in the US in 1920, NASA launched its farthest exploration in 2019, The Federal Rules of Evidence were enacted in the US in 1975, and we present you with these top quality stories. From The Brain at the Edge of Chaos. When Predictive Coding Fails and Randomness […]

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