Great name! “Physical Intelligence (pi) is building software intended to power robots that can learn a wide range of tasks.” https://
bloomberg.com/news/articles/
2024-03-12/physical-intelligence-is-building-ai-for-robots-backed-by-openai?utm_source=website&utm_medium=share&utm_campaign=twitter
… via @technology
RESEARCH
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Physical Intelligence builds AI software to power learning robots
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MedARC Celebrates One Year of Medical AI Research Breakthroughs
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MedARC celebrates one year of pioneering medical AI research. Discover their journey in neuroAI with MindEye, advancements in radiology AI, and more in our latest blog highlighting their accomplishments: https://
bit.ly/48QOOMz -
LLM Capabilities Growing Several Times Faster Than Moore’s Law
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Here's a good estimate of how fast the capabilities of LLMs have been growing: several times as fast as Moore's Law! The compute needed to achieve the same outcome halving every 5 to 14 months, with no sign of slowing. Most gains are from bigger scale. https://
arxiv.org/abs/2403.05812 -
NaturalSpeech 3: Zero-Shot Speech Synthesis with Diffusion
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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models Ju et al.: https://
arxiv.org/abs/2403.03100 #ArtificialIntelligence #DeepLearning #MachineLearning -
Stanford HAI’s Latest Projects in Finance Regulation Technology
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What are some of the latest projects at @StanfordHAI
? In this episode of @IIF
’s Finance Regulation Technology, our deputy director @RussellWald discusses exciting new developments. https://
bit.ly/49PnrDR -
LLMs Superior to Dictionary Methods for Psychological Text Analysis
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LLMs are much better than the standard dictionary approaches to figuring out the psychological context of text, including uncommon African languages, and likely cheaper & easier-to-use as well It is approaching human levels, and is improving as models do. https://
osf.io/preprints/psya
rxiv/sekf5
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Public Sector AI Investment Moonshot Called for by Stanford HAI
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AI requires vast amounts of computing power and data that are becoming increasingly out of reach for academia. @StanfordHAI
’s @drfeifei is one of the leading voices calling for a “moonshot investment” in public-sector AI. https://
wapo.st/4a6IVvN -
Coherence Creation vs Self Organization in AI Systems
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I think that the coherence creation may be necessary to overcome the shortcomings of a prediction-only approach, but it's not obvious to me that AI needs self organization.
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Consciousness as Coherence Creation in Self-Organizing Systems
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I think that the main function of consciousness may be the creation of coherence (absence of constraint violations in the current context). The phenomenology of consciousness (second order perception) might only be necessary on a self organizing substrate.