There will be an “AI Alliance Symposium” in Tokyo, on December 14, where Sakana AI will be a panelist. The blog post below about the AI Alliance includes in-person registration information and YouTube link:
RESEARCH
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Scientific Excellence Does Not Guarantee Moral Virtue
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This is exactly right. In my experience being a good scientist doesn’t make one necessarily more virtuous. In too many cases the exact opposite happens, due to the so called “licensing effect” based on the self perception of intellectual superiority.
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ANITI and Ekitia publish results of their citizen survey on AI
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[#Article]
@ANITI_Toulouse and @Ekitia_ publish the results of their citizen survey on #AI https://actuia.com/actualite/aniti-et-ekitia-publient-les-resultats-de-leur-enquete-citoyenne-sur-lia/
… #artificialintelligence -
Google AI metrics questioned for real-world usage representation
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very fair question, i'm just pointing out that the metrics they keep showing in the google promo material are very weird and not representative of how people actually use models
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iPrompt and Tree Prompting: Advanced Techniques for AI Model Enhancement
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yes! 🙂 iPrompt: http://
arxiv.org/abs/2210.01848
Tree Prompting: http://
arxiv.org/abs/2310.14034 (thanks for asking) -
Negative Embeddings for Improved Pimple Detection Models
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Have you tried a negative embedding tuned on pimples etc?
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Sakana AI joins Alliance for open AI development approach
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Sakana AI is proud to be a founding member of the AI Alliance, alongside University of Tokyo, Sony and others in Japan. As we’ve seen, the real ‘danger’ of AI is for it to be developed and owned by a single company. An open approach makes much more sense. https://
thealliance.ai -
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning
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NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications Excellent work from Google Japan presents many empirical insights about evolution methods at scale. If you’re using evolution and deep learning, this is the paper to read! https://
sites.google.com/view/neuroevob
ench
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Gemini Underperforms GPT-4 on Zero-Shot Task Accuracy
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this makes me think Gemini is still worse than GPT-4 for most people, I think the real measure of "intelligence" is zero-shot accuracy on various tasks so if Gemini underperforms GPT-4 with fewer examples in context, is it really a better model?
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AI in Healthcare: Challenges and Applications Presentation
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@MakarandTapaswi
, our Senior Machine Learning Scientist, led a presentation on the application of artificial intelligence in healthcare and the associated challenges, at the AEye Summit hosted at the LV Prasad Eye Institute in Hyderabad. #digitalhealth #MachineLearning