AI is getting smarter, but not wiser: A new roadmap aims to fix that gap

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

A new study is the first to suggest realistic ways to integrate wisdom into artificial intelligence, to create AI systems that will be more robust, transparent, cooperative, and safe. Researchers from the University of Waterloo led the team, which includes experts in psychology, computer science, and engineering. Their paper proposes ways to train large language …

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[Final Update] Anima 2B Style Explorer: 20,000+ Danbooru Artists, Swipe Mode, and Uniqueness Rank

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Thanks for the feedback and ideas on my previous posts! This is the final feature-complete release of the Style Explorer. What’s new: 20,000+ Danbooru Artist Previews: Massive library expansion covering a vast majority of the artist styles known to the model. Swipe Mode: A distraction-free, one-by-one browsing mode. If your internet speed is limited, I …

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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Authors: Harshad Sane, Andrew Halaney Imagine this — you click play on Netflix on a Friday night and behind the scenes hundreds of containers spring to action in a few seconds to answer your call. At Netflix, scaling containers efficiently is critical to delivering a seamless streaming experience to millions of members worldwide. To keep up with responsiveness …

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Don’t panic: ‘Humanity’s last exam’ has begun

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding (MMLU) exam, once considered formidable, are no longer challenging enough to meaningfully test advanced AI systems.

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Large-scale commercial search systems optimize for relevance to drive successful sessions that help users find what they are looking for. To maximize relevance, we leverage two complementary objectives: behavioral relevance (results users tend to click or download) and textual relevance (a result’s semantic fit to the query). A persistent challenge is the scarcity of expert-provided …

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Image upscale with Klein 9B

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Prompt: upscale image and remove jpeg compression artifacts. Added few hours later: Please note that nowhere in the text of the post did I say that it works well. The comparison simply shows the current level of this model without LoRAs and with the most basic possible prompt. Nothing more. submitted by /u/CutLongjumping8 [link] [comments]