I enjoyed this one a lot, especially how detailed it is and careful with the data analysis. But it just gives so much practical insights for how we can make science better! Can’t wait to get back to write to the authors with some questions
RESEARCH
-
Risk Assessment Arguments in AI Debate and Burden of Proof
By
–
Do you have any argument that the risk is high or is this just what Jerry Samet called “burden tennis”?
-

AI Leaders Acknowledge Dangers in Ethics Statement
By
–
AI leaders sign a statement to openly acknowledge the dangers of #AI https://
zd.net/42xbqyu #leadership #ethics -
Praise for Deep Learning Focus Newsletter Quality
By
–
Likewise, your Deep (Learning) Focus newsletter is an absolute gem!
-
Drag and drop PDFs folder into Humata for instant queries
By
–
Drag and drop an entire folder of PDFs into Humata and ask questions across all your files all at once.
— AI Breakfast (@AiBreakfast) 27 juin 2023
I use this tool daily, happy to call @HumataAI a sponsor of AI Breakfast. pic.twitter.com/iQ4VEWrN5sDrag and drop an entire folder of PDFs into Humata and ask questions across all your files all at once. I use this tool daily, happy to call @HumataAI a sponsor of AI Breakfast.
-

ChatGPT as a Major Digital Technology Milestone
By
–
Is ChatGPT Really One Of The Most Important Milestones In Digital Technology?
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/C4QL30svSub -
ChatGPT: A Major Milestone in Digital Technology?
By
–
Is ChatGPT Really One Of The Most Important Milestones In Digital Technology?
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/sa8330svSeu -
Prefix Conditioning: Novel Visual Language Model Pre-training Method
By
–
Prefix conditioning is a novel method for pre-training visual language models using both classification and caption datasets to provide their complementary benefits. Learn how it uses prefix tokens to disentangle dataset biases from visual concepts ↓
-
Google SGE Criticized for Slow Speed and Imprecise Answers
By
–
Note that this measures time to total answer, not time to first token. The complete answer produced by Google SGE is too small and imprecise to be useful.
-
LLM-Driven Game Characters: AI Integration in Game Development
By
–
Thanks to everyone who attended my talk at Summer School on AI and Games in Cambridge today! For those who missed it, here are my slides on "LLM-driven game characters" https://
docs.google.com/presentation/d
/1Z1Z4GBvE0s6h9BdnTDcxu-ZTCw-uSX-cMmJmUokXp98/edit?usp=sharing
… #GameAISchool2023 @GoodAIdev