Who's Using AI Romantic Companions?
simonlermen.substack.comยท3hยท
Discuss: Substack
๐ŸŽ›๏ธinterfaces
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Show HN: Oodle โ€“ Unified Debugging with OpenSearch and Grafana
blog.oodle.aiยท1dยท
Discuss: Hacker News
๐ŸŒŠStream Processing
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How to speed up internal processes
leadinginproduct.comยท1dยท
Discuss: Hacker News
๐Ÿค–agents
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Show HN: Chatolia โ€“ create, train and deploy your own AI agents
chatolia.comยท2dยท
Discuss: Hacker News
๐Ÿค–agents
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Don't Trust Smart People
mtmason.comยท10hยท
Discuss: Hacker News
๐ŸคMulti-Agent Systems
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OpenAI Co-Founder: AI Agents Are Still 10 Years Away
thenewstack.ioยท3dยท
Discuss: Hacker News
๐ŸคMulti-Agent Systems
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Ask HN: What made you improve your logical reasoning?
news.ycombinator.comยท20hยท
Discuss: Hacker News
โœจUI generation
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Cognitive Burden
kau.shยท20hยท
Discuss: Hacker News
๐Ÿ‘†human-computer interaction
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.orgยท1d
๐Ÿ“embeddings
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ShadowLogic: Backdoors in Any Whitebox LLM
arxiv.orgยท1d
โœจUI generation
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Simplifying Preference Elicitation in Local Energy Markets: Combinatorial Clock Exchange
arxiv.orgยท2d
๐ŸคMulti-Agent Systems
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Disciplined Biconvex Programming
arxiv.orgยท1d
๐ŸคMulti-Agent Systems
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Culture Cartography: Mapping the Landscape of Cultural Knowledge
arxiv.orgยท2d
โœจUI generation
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Optimal Information Combining for Multi-Agent Systems Using Adaptive Bias Learning
arxiv.orgยท5d
๐ŸคMulti-Agent Systems
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
arxiv.orgยท5d
โœจUI generation
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Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
arxiv.orgยท1d
๐Ÿ•ท๏ธGraphRAG
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Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
arxiv.orgยท1d
๐Ÿ“embeddings
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.orgยท1d
๐ŸŒŠStream Processing
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.orgยท1d
๐ŸคMulti-Agent Systems
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.orgยท1d
๐Ÿ“embeddings
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