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Evidence for the representation of non-hierarchical structures in language - Nature Human Behaviour
7+ min ago (1716+ words) Nature Human Behaviour (2026)Cite this article Humboldt, W. V. On Language: On the Diversity of Human Language Construction and Its Influence on the Mental Development of the Human Species (Cambridge Univ. Press, 1999). Pinker, S. Words and Rules: The Ingredients of Language (Basic Books,…...
Is Your Model Good Enough to Deploy? The Restaurant That Served a 95% Perfect Dish — But the 5% Was Food Poisoning
12+ min ago (448+ words) The One-Line Summary: A model is "good enough" when it beats a reasonable baseline, meets business requirements, performs consistently across segments, fails gracefully, and the cost of its errors is acceptable. High accuracy alone means nothing without this context. Chef…...
Meet the IBM researchers trying to make LLMs smarter
32+ min ago (853+ words) The tech leads behind IBM's new software library, Mellea, explain how it works and why giving language models explicit requirements can improve performance and lower costs. Large language models still dominate AI leaderboards, but a new class of lighter weight…...
AUC-ROC Explained: The Smoke Detector With a Sensitivity Dial and the One Number That Tells You If It's Any Good
56+ min ago (799+ words) The One-Line Summary: AUC-ROC measures how well your model can distinguish between classes ACROSS ALL possible thresholds. An AUC of 1.0 means perfect separation. An AUC of 0.5 means your model is no better than random coin flips. It's the ONE number…...
When Accuracy Is a Lying Metric: The Weather Forecaster Who Was 96% Accurate and Still Got Everyone Killed
1+ hour, 3+ min ago (839+ words) The One-Line Summary: Accuracy measures how often you're right overall, but when 96% of your data is one class, a model that predicts that class every time gets 96% accuracy while being completely useless. Accuracy rewards laziness when classes are imbalanced. Maria…...
Accuracy, Precision, Recall, F1: The Four Judges Who Disagree on What Makes a Good Wolf Detector
1+ hour, 6+ min ago (591+ words) The One-Line Summary: Accuracy asks "how often are you right overall?" Precision asks "when you say wolf, are you sure?" Recall asks "did you catch all the wolves?" F1 asks "can you balance confidence with coverage?" Different questions, different answers, different…...
Train/Validation/Test Split: Why Your Model Needs Practice, Dress Rehearsals, AND Opening Night
1+ hour, 11+ min ago (833+ words) The One-Line Summary: Training data is for learning, validation data is for tuning, and test data is for the final honest evaluation. Use training to grade your model and you're letting students grade their own exams. Use validation too many…...
How Design Engineering Is Shaping the Future of AI-Native Interfaces
1+ hour, 13+ min ago (678+ words) We sat down with Flora Guo, founding Design Engineer at Paradigm AI to discuss why the chat interface breaks down at scale, how AI is reshaping how we think about software, and why agentic workflows are emerging as a new…...
[CoreData] Manipular los datos de una base de datos
1+ hour, 15+ min ago (186+ words) En el directorio ra'z del proyecto (en nuestro caso DatabasePoC), cree la clase CoreDataManager y agregue la siguiente implementaci'n: Aqu' creamos una instancia de NSPersistentContainer con el nombre del modelo de datos y damos acceso a un contexto para manipular…...
The evolution of realtime AI: The transport layer needed for stateful, steerable AI UX
1+ hour, 16+ min ago (613+ words) When we launched Ably in 2016, we set out to solve a fundamental problem: delivering reliable, low-latency real-time experiences at scale. So we set out to build a globally distributed system that didn't force developers to choose between latency, integrity, and…...