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AI's capabilities may be exaggerated by flawed tests, according to new study
nbcnews.com·6h·
Discuss: Hacker News
🧠OpenAI
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What are computers for, anyway?
forum.merveilles.town·17h
Technology
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Audiences doubt the benefits of AI-generated imagery in news are worth the risks, new study finds
niemanlab.org·44m
🔍Grad-CAM
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How I built an AI productivity assistant with Vercel AI Elements
blog.logrocket.com·3d
🧠OpenAI
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PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
machinelearning.apple.com·21h
🧠OpenAI
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Artificial vs. Synthetic Intelligence In Web Development
techbusinessnews.com.au·1d·
Discuss: DEV
🧠OpenAI
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·3d
🧠OpenAI
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Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation
arxiv.org·2d
👁️Vision Transformers
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OpenSIR: Open-Ended Self-Improving Reasoner
arxiv.org·2d
🧠OpenAI
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⚡ Rethinking Prompt Engineering: How Agent Lightning’s APO Teaches Agents to Write Better Prompts
dev.to·9h·
Discuss: DEV
🧠OpenAI
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Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification
arxiv.org·1d
🔍Grad-CAM
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**Hyperlocal Weather Anomaly Forecasting via Spatiotemporal Graph Neural Networks & Ensemble Kalman Filtering**
dev.to·23h·
Discuss: DEV
🧠OpenAI
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Extracting the Benefits of the Duo: Tableau and R
dev.to·1d·
Discuss: DEV
📊Altair
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Sable and Able: A Tale of Two ASIs
lesswrong.com·1d
🧠OpenAI
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The True Cost of AI Integrations: Comparing Performance and Pricing Models for C# Libraries
dev.to·2d·
Discuss: DEV
🧠OpenAI
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🧩 Hackathon Recap: Building “API Syncer” — Using AI to Work Smart, Not Hard
dev.to·1d·
Discuss: DEV
🧠OpenAI
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·2d
🧠OpenAI
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Developer Case Study: Cursor and Claude Code Suggested Building a Proxy. Shotgun CLI Found LiteLLM Instead.
dev.to·4h·
Discuss: DEV
🧠OpenAI
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Show HN: AI Coding Agents: Intent-Driven Development Guidelines
github.com·9h·
Discuss: Hacker News
🧠OpenAI
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·2d
🤖Machine learning
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