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Just released! The #AIIndex2023 rounds up the latest trends in AI. This year’s report introduces more original data than any previous edition, a new chapter on AI public opinion, and more. Here are the top takeaways: ↘️ stanford.io/3m3gStO 
Takeaway #1: Industry races ahead of academia. Until 2014, most significant machine learning models were released by academia. Since then, industry has taken over. In 2022, there were 32 significant industry-produced ML models compared to just three produced by academia.
Takeaway #2: Performance saturation on traditional benchmarks. AI continued to post state-of-the-art results, but year-over-year improvement on many benchmarks continues to be marginal. Moreover, the speed at which benchmark saturation is being reached is increasing.
NEW: This Post Was Written By #AI: sjtylr.net/2022/10/08/thi…
From idea to content and published post in under 30mins, using free tools. This tech is developing *fast* and will have implications for teaching, learning and our graduates.
#EdTech
From idea to content and published post in under 30mins, using free tools. This tech is developing *fast* and will have implications for teaching, learning and our graduates.
#EdTech
☝️Using tools from @playground_ai @peppertype_ai @AiWritesonic @copy_ai and inspired by @Suhail @kaifulee @FryRsquared @DeepMind @daniel_eckler and more. Follow them all for super-interesting news. #AI
