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machine learning Oct 01 Semifactual Credit-Augmented Policy Optimization Reinforcement learning with verifiable rewards improved reasoning capabilities of large language models yet predictions stayed sensitive to task-irrelevant prompt features. Researchers investigated this sensitivity through semifac... ai Oct 01 Turbo Harness: Instance-Adaptive Harness Optimization Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is applied uniformly across task... cybersecurity Sep 30 Google releases Gemini 4 Argon, called its most powerful model yet Google has unveiled Gemini 4 Argon, a new AI model positioned as the company's most powerful release yet. The announcement comes as top AI labs compete to ship increasingly capable systems, each generation framed as a leap forward... ai Sep 30 Show HN: Desbordante 2.5.0 Released Desbordante project announces version 2.5.0, a significant release approximately one year after the previous stable build. The delay allowed contributors to accumulate a substantial set of additions across dependency mining, graph... cybersecurity Sep 30 Join Us Live: Hacktoberfest 2026 Launch with Exclusive Swag! 🎃🚀 Google's Fairwind Program and the Argon launch Google's parent company Alphabet has launched Gemini 4 Argon, a new AI model positioned as the company's most powerful release to date. The system handles coding, research, and writin... programming languages Sep 30 Ask HN: What Do to Outside Tech? Ask HN: What to do outside tech A Hacker News user recently posed a question that many developers grapple with at some point in their careers: what does life look like beyond the keyboard? The poster described wanting to start a s... ai Sep 30 HN: Humanbound|Open-source red teaming for AI agents, free hosted tier Adversarial testing for AI agents with humanbound Humanbound is an open-source framework designed to stress-test AI agents by simulating the ways real users and attackers interact with them. Unlike tools that primarily test prompt... ai Sep 30 Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering Multimodal large language models have made rapid progress on single-image tasks, yet they still falter when asked to reason about a scene from multiple viewpoints. A model that sees three photos of a room from different angles oft... machine learning Sep 30 Breakdown of Local Denoising as Semantic Speciation The dynamics of generative models exhibit two apparently distinct temporal windows: a speciation window, in which a sample commits to a semantic class, and a nonlocality window, in which local context windows become insufficient f... machine learning Sep 30 LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization Recent large language models increasingly adopt hybrid attention designs that replace the standard quadratic attention with linear alternatives. Models such as Gated DeltaNet (GDN) and Kimi Delta Attention (KDA) compress the entir...