This is exactly why I think we need a Modern Turing Test. We simply don't have good, easily graspable heuristics for what is happening in AI and we need them: https://
bloomberg.com/news/newslette
rs/2023-06-20/ai-turing-test-for-chatgpt-or-bard-proposed-by-mustafa-suleyman
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RESEARCH
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Modern Turing Test Needed for AI Capability Assessment
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GPT-3 Generates More Convincing Disinformation Than Humans
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A large language #AI model (GPT-3) produces more compelling disinformation than humans by generating information that is easier to understand https://
science.org/doi/10.1126/sc
iadv.adh1850
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Humans can't distinguish between it and real human tweet posts @fedgermani @UZH_en @culturico -
Fourier Neural Operators Achieve 10^4-10^5 Speedups Weather Forecasting
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Thank you @HPCsharp @PASC_Conference https://
arxiv.org/abs/2208.05419 Our work was first to do weather forecasts at 25km spatial resolution with 10^4-10^5 speedups using Fourier neural operators. Recently we added spherical harmonics for stable long rollouts https://
arxiv.org/abs/2306.03838 -
Fourier Neural Operators Enable 25km Weather Forecasting
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Thank you @PASC_Conference https://
arxiv.org/abs/2208.05419 Our work was first to do medium-range weather forecasts at 25km spatial resolution with 10^4-10^5 speedups using Fourier neural operators. Recently we added spherical harmonics for stable long rollouts https://
arxiv.org/abs/2306.03838 -
New Generative AI Course with LLMs on Coursera
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New course! Generative AI with Large Language Models, created with @AWS and hosted on @coursera. This course goes deep into the technical foundations of LLMs and how to use them. You can sign up here: https://t.co/TYY37rUQ0c
— Andrew Ng (@AndrewYNg) 28 juin 2023
You’ll work through the full life-cycle of a… pic.twitter.com/5rqeuLD23GNew course! Generative AI with Large Language Models, created with @AWS and hosted on @coursera
. This course goes deep into the technical foundations of LLMs and how to use them. You can sign up here: https://
deeplearning.ai/courses/genera
tive-ai-with-llms
… You’ll work through the full life-cycle of a -
Machine Learning Reveals Concrete Language Drives Literary Prestige
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Researches used machine learning techniques to analyze hundreds of years of literature to determine what governs prestige. They found that the use of concrete words—“eye”, “black”, “grass” etc.—made a poem much more likely to be reviewed in an established literary journal.
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LeanDojo Enables AI Co-pilot for Theorem Proving Tasks
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Thanks @AlphaSignalAI LeanDojo allows AI to be co-pilot for theorem proving. ChatGPT is not yet good at this and a small LLM with retriever works much better. We have added fully AI-written Lean proofs to ProofNet https://t.co/DYiPlvxo4N @KaiyuYang4 https://t.co/bYJbfLwwl9
— Prof. Anima Anandkumar (@AnimaAnandkumar) 28 juin 2023Thanks @AlphaSignalAI LeanDojo allows AI to be co-pilot for theorem proving. ChatGPT is not yet good at this and a small LLM with retriever works much better. We have added fully AI-written Lean proofs to ProofNet https://
github.com/zhangir-azerba
yev/ProofNet/pull/14
… @KaiyuYang4 -
Databricks acquires MosaicML for ML model building platform
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It also said it was acquiring MosaicML for $1.3 billion, giving it another piece of the new NEW data stack—building and serving ML models from scratch. The explosion of LLMs, it seems, is as good a time as any to re-re-bundle the data stack.
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AI Proves 39 New Mathematical Theorems in Lean Proof System
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AI is already a co-pilot for math and theorem proving. We have proven 39 proofs in ProofNet that did not have human-written proofs in Lean. We continue to add AI-written proofs to ProofNet https://
github.com/zhangir-azerba
yev/ProofNet/pull/14
… @KaiyuYang4 -
Path Selection Matters More Than Goals in Decision Making
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The path you choose to take toward achieving your goals is as important as your goals. In the decision making process of achieving your goals, a significant importance should be given to the path selection and your experiences along the path. Design and create your path