ai Sep 07 Tell HN: Anthropic should make Claude the Author and me the Co-Author A developer is pushing back on how Anthropic handles authorship attribution in Claude Code, arguing that the company's insistence on crediting itself in AI-generated output is both legally meaningless and practically misleading. T... programming languages Sep 07 Ask HN: Looking for an old submission about sneering culture A developer on Hacker News is searching for a blog post that left a lasting impression: a thoughtful piece about sneering culture in programming communities, specifically the dismissive attitudes that developers direct at each oth... ai Sep 07 Ask HN: Those still optimistic about a career in software – why? A question on Hacker News is capturing a sentiment that is spreading through the software development community: if AI can write all the code, what happens to the people who spent decades learning to write it? The anxiety undernea... programming languages Sep 07 Java News Roundup: TornadoVM 6, JReleaser, LangChain4j, Java Operator SDK, JHipster, Yupiik Fusion The Java ecosystem shipped a batch of releases in the last week of August, and two of them mark real architectural shifts rather than routine version bumps. TornadoVM 6.0 reached general availability with a full replacement of the... ai Sep 07 Same Trajectory, Contradictory Rewards (ROBORMBENCH): Paraphrase Fragility in Vision Language Reward Models Vision-language models are being adopted as reward functions for robotic learning at an accelerating pace. The idea is straightforward: feed a robot trajectory and a text description of the goal into a VLM, and the model outputs a... ai Sep 07 Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence When an LLM inside an agent workflow produces a recommendation or judgment, it often comes with an explanation naming the factors that drove the decision. Operators use these explanations to monitor systems, diagnose errors, or de... ai Sep 07 Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models When an LLM reports a molecular property with a median absolute error of 0.025 kcal/mol on the FreeSolv benchmark, that number is far below the 0.6 kcal/mol experimental uncertainty assigned to the measurements. No model can predi... ai Sep 07 When LLM Decompilers Recompile More and Preserve Less When LLM Decompilers Pass Every Test Yet Rewrite Your Code Decompilation turns compiled binaries back into readable source code, and the stakes are high: security analysts depend on it to find vulnerabilities in malware, reverse-e... programming languages Sep 07 Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool ML Performance Tools Break Every Year. What If You Regenerated Them Instead of Maintaining Them? Machine-learning performance modeling sits at the worst possible intersection in computing. Above it, model architectures mutate mont... machine learning Sep 07 Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation How Amazon Trains a 15M-Parameter Model to Replace LLM Calls for Product Upgrade Recommendations E-commerce platforms need to recommend better products to customers, not just similar ones. A shopper buying a basic moisturizer shou...