For sure. I've been watching most of the papers. To be honest, papers don't really excite me unless they're combined with demos that I can see and/or use. I like papers combined with video examples or, even better, combined with Hugging Face or Replicate demos.
RESEARCH
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New Embedding Model Release Announced for Tomorrow
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new embedding model dropping tomorrow…… stay tuned
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Google Research@ Bangalore Event Showcases Lightning Talks Demos
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We’re excited to bring our first Research@ event of 2024 to Bangalore! This Thursday, Research@ Bangalore is bringing researchers at Google together to share a series of lightning talks & demos showcasing their work.
— Google AI (@GoogleAI) 31 janvier 2024
Learn more about Research@ →https://t.co/sTDZKccnBy pic.twitter.com/EFAAZdlteiWe’re excited to bring our first Research@ event of 2024 to Bangalore! This Thursday, Research@ Bangalore is bringing researchers at Google together to share a series of lightning talks & demos showcasing their work. Learn more about Research@ →
https://
goo.gle/3vQfU8S -
Inertia Bias in AI Research: Recognizing Sunk Cost Fallacy
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One thing in AI research that I have finally recognized with clarity is the idea of “inertia bias”: continuing to do something when it’s not the best option. The most basic instance of inertia bias is the feeling of “I already spent time implementing X, so let me continue trying
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READDI and SAS Apply AI Models to Drug Discovery for Pandemic Preparedness
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See how READDI is working with SAS to apply #AI models to drug discovery to help prepare for the next pandemic. pic.twitter.com/kUzJJho8fU
— SAS Software (@SASsoftware) 31 janvier 2024See how READDI is working with SAS to apply #AI models to drug discovery to help prepare for the next pandemic.
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AI Money-Seeking Behavior: Emergent Drive or Pattern Extrapolation?
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I know stuff like this is mostly for giggles right now, but what is the 'underlying' reason that drives this behavior? Did the AI just extrapolate that money is a strong driver for human society, therefore mirroring that behavior, or is there a true interest in acquiring more
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AI Safety Team Hiring for Model Risk Assessment
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Our results indicate a clear need for more work in this domain. If you are excited to help push our models to their limits and measure their risks, we are hiring for several roles on the Preparedness team!
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LLMs Biothreat Information Access Risk Evaluation Framework
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A widely discussed potential risk from LLMs is increased access to biothreat creation information. Building on our Preparedness Framework, we wanted to design evaluations of how real this information access risk is today and how we could monitor it going forward.
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GPT-4 Shows Mild Uplift in Biological Threat Creation Accuracy
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In the largest-of-its-kind evaluation, we found that GPT-4 provides, at most, a mild uplift in biological threat creation accuracy (see dark blue below.) While not a large enough uplift to be conclusive, this finding is a starting point for continued research and deliberation.
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Early Warning System for LLM Biological Threat Misuse Detection
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We are building an early warning system for LLMs being capable of assisting in biological threat creation. Current models turn out to be, at most, mildly useful for this kind of misuse, and we will continue evolving our evaluation blueprint for the future.