the amount of veiled incompetence in corporate America is staggering in the vast majority of corporate America, there is more effort put towards shrouding incompetence in obfuscation than trying to be competent in the first place
AI
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Detecting AI-Generated Bad Content in Modern Digital Age
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Catching bad content in the age of #AI https://
bit.ly/431fWpC via @techreview -
Author Records Audiobook with Producer Named Arthur G. Insana
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Recording the audio of my book – The Coming Wave – today and unbelievably (!!) my fantastic producer is actually called Arthur G. Insana (AGI)
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Linguistic Binding in Diffusion Models for Better Attribute Correspondence
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Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment paper page: https://
huggingface.co/papers/2306.08
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demo: https://
huggingface.co/spaces/Royir/S
ynGen
… Text-conditioned image generation models often generate incorrect associations between entities and their -
Rise in AI Research Papers Lacks Rigorous Peer Review Vetting
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I mention this bc there appears to be a huge uptick in people writing RE AI research papers (in media and on Twitter), and it’s clear that this work is not all rigorously vetted. That doesn’t mean it’s bad, nor that peer-reviewed work is always great. But!
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Careful Approach to Sharing ArXiv Research Work
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it should be approached carefully, the bar for sharing/publishing about it should be high, and since many people have no idea what the arxiv is or what it’s for I think it should be made crystal clear where the work is coming from (as it always should be), and why that matters.
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ArXiv papers lack peer review, caution advised for journalists
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It’s Saturday, which means it’s time for a reminder that papers published to the arxiv are *not* peer reviewed and should be approached with caution (if not skepticism), particularly if you’re a journalist (or anyone interested in sharing research with a large audience).
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Meta Struggles to Keep Pace in Competitive AI Race
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Mark Zuckerberg Was Early in #AI. Now Meta Is Trying to Catch Up. https://
wsj.com/articles/mark-
zuckerberg-was-early-in-ai-now-meta-is-trying-to-catch-up-94a86284?st=l4lyts9q2m928im
… via @WSJ -
Comprehensive Survey on Transformer Applications Across Multiple Deep Learning Domains
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A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks A great survey paper that provides a comprehensive analysis of highly influential transformer-based models in top five application domains: NLP, Computer Vision, Multi-Modality, Audio and Speech
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Public Education as Democratizing Force for All Children
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Agreed! Education, especially public education, is a wonderful democratizing force for lifting up every child.