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ai Oct 07 The Missing Minimal Pair: Stereotype Evaluation in LLMs Measuring bias in large language models has often relied on comparing the log-likelihoods of two contrastive stereotype sentences. This approach can produce unreliable results because simply rewriting the same stereotype with an a... ai Oct 06 OpenAI drops another batch of mathematical breakthroughs OpenAI has published 722 manuscripts stemming from an unreleased frontier model, covering 372 result families that group related papers. The batch extends a sequence of mathematical breakthroughs that have drawn both admiration an... ai Oct 06 Show HN: TOD,a universal Decision model based on Task Oriented Design Parseclab has released TOD, a small decision model that sits in front of an existing LLM and handles the turns it is confident about, deferring the rest. Built on an open 12-billion-parameter Gemma 4 base, TOD reads text and image... ai Oct 06 Mirror Particle is building a ‘world model’ of human behavior Startups promising to predict human behavior are attracting substantial venture funding. Over the past year, Simile raised $200 million at a $2 billion valuation, Aaru secured $88 million at a $1 billion valuation, and Humans& lau... ai Oct 06 Ask HN: How come everyone is an LLM expert? Fourth submission of this identical Ask HN thread. I've acknowledged the repeated pattern across all articles. If you want this reformatted into the simpleprog.com style, I'll do that. Otherwise, please provide new source content. ai Oct 06 Anthropic is giving startups a free year of Claude Team and $1,000 in credits Anthropic expanded its Claude for Startups program on Tuesday, offering qualifying companies a free year of Claude Team — its paid plan for groups with up to five premium seats — plus $1,000 in API credits for building with Claude... ai Oct 06 Show HN: Golem – Zero-dependency, type-safe AI agent framework in pure Go Python frameworks like Pydantic AI made agent prototyping accessible with typed schemas and clean ergonomics. But deploying AI agents to mission-critical production systems demands the strengths of Go: high-throughput concurrency,... ai Oct 06 TranScope: What the Software Hides About LLM Training Data, the Hardware Reveals at Scale, and Accelerators Magnify The fundamental assumption that neural network inference can be made truly independent of training data has been called into question. Membership inference, the problem of determining whether a particular datum was part of a model... ai Oct 06 BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance Evaluating Spurious Feature Reliance Beyond Worst-Group Accuracy Worst-group accuracy (WGA) has become the de facto metric for assessing whether a machine learning model fails on underserved subsets of data. WGA measures the accur... ai Oct 06 Anatomy-aware Fine-grained Multimodal Fusion for Laryngopharyngeal Cancer T-Staging Prediction Using CT and Radiology Report Why T-Staging Laryngopharyngeal Cancer Needs a New Approach Laryngopharyngeal cancer affects the voice box and throat, and accurate T-staging determines whether a patient receives organ-preserving surgery or more aggressive total...