Search and filter through extracted claims from AI researchers.
Showing 1-20 of 494 claims of type "critique"
This book is great for individual use and for training workshops and educational settings.
"Consequently, this is great not only for individual use but also for training workshops and other educational settings."
"This is an extraordinarily practical, useful, and reader-friendly style, perfect for the target audience: anyone who needs to use (or is discovering how to use) specific Scikit-learn tools for their Python-based machine learning tasks."
"The main technical concern is project governance rather than code availability: existing open-source releases can be forked, but future direction could shift via maintainer reassignment, licensing changes where legally possible, or reduced support for non-Nvidia backends such as ROCm and Vulkan."
"The technically relevant concern is continuity of Hugging Face as an open model/dataset/code hub"
Current AI-generated content still has rendering glitches and coherence issues.
"I noted a couple places where the rendering glitched or the model lost a little bit of coherence in the story"
It's not 10- and 12-bit ProRes and HEVC
"It's not 10- and 12-bit ProRes and HEVC"
"It's not 16-bit EXR"
"It can't be directed"
"It can't lip sync"
"It can't do good stories"
It can't hold a shot longer than a clip
"It can't hold a shot longer than a clip"
"It's just a few seconds"
"It can't do dialogue"
"It can't do good voices"
"It can't do real audio"
It can't keep consistent characters
"It can't keep consistent characters"
"It's too easy to use"
"It's too hard to use"
"It feels oversaturated"
"It all looks the same"
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Last synthesis: 2026-09-20. 8,949 pending.