I am very curious about the prompt's word positioning related to the temporal effect. Like, if you mentioned the giant cat at the start, would we have seen that early in the scene?
RESEARCH
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Physics Engine Advances Enable Scientific Simulation Applications
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So good! The physics engine looks really solid here. I am excited about the possibility of using this tech to simulate more scientifically specific scenarios. Would love an invite btw!
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Top 50 Global Science and Technology Innovation Clusters Map
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This map explores the world’s top 50 science and #tech clusters based on the Global Innovation Index 2023 data #innovation #100DaysOfCode #economy #GDP #SupplyChain #programming #AI #ML #FutureofWork https://
visualcapitalist.com/the-top-50-sci
ence-and-technology-hubs/
… via @visualcap @jblefevre60 @FrRonconi @enilev -
Legal Hallucinations in Popular LLMs: Performance Failures
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How prevalent are legal hallucinations in AI? Three popular LLMs made big mistakes on a wide range of legal tasks.
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AGI to ASI transition will be nearly instantaneous with recursive self-improvement
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I think the timespan between agi and asi is almost zero. As soon as agi is there it will enfold and accelerate itself, reaching its full asi potential in a short period.
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Google’s Search Vulnerability and AI Research Strength
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Their core search business looks more vulnerable than it has in years. On the other hand, they have arguably the biggest brain trust of AI researchers on the planet.
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Model-Free Policy Training From Offline Model-Based Planning
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sure, if you can train a model-free policy using trajectories collected from model-based planning offline, at scale, that works too.
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Sora’s Physics Modeling Limitations: Honest Research Assessment
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Seeing a lot of tweets saying @ylecun made incorrect predictions. Reality is Sora, while being amazing, is still not ready yet, to model physics accurately, and the authors of Sora, are intellectually honest researchers, who mentioned this on the tech report section of the blog, https://
t.co/c8WKFoge0f -
Stanford AI Fellow Advances Data-Driven Healthcare Solutions
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“Helping people work toward improved health has always been a cause close to my heart,” says @StanfordHAI faculty fellow Shriti Raj (
@shritir13
) of her work in data-driven healthcare: -
Green AI Environmental Impact Panel Discussion at MaRS
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Excited to hear from our VP of Product, @beach66
, during this year's @MaRSDD #MaRSImpactAI event. Join him on 2/22 to explore the widespread impacts of #AI during the "How Green is Your AI? Tackling AI's Environmental Toll" panel discussion. Register now! http://
impactai.marsdd.com