75 years in a day of Economist Q&A since 1951 with Neumann , Einstein, Turing
40 YEARS MEDIA CHARTERING
London Celebrating AI & Quantum & 6G & Energy --- thanks to lead mapmakers Jensen & Demis & Charles3 .. EJ : : Japan+63 ... MEIM : Millennials Energy Intelligence Mapping
Old home page. -please use web version of our timeless blogs
www.economistdiary.vom Is English Language Modelling intelligent enough to sustain our human species? Great are 1990s Valley startups eg nvidia, musk's and googles exponentially linking much of whats humanly possible with machines engineered billion times mo(o)re maths brainpower than individuall human minds. But 1943 UK future shocks to.o. Geoffrey Crowther Economist Ed started debate keynes: were engineers deeper than economists in locking in futures next gens connect?. 1943 also saw dad norma cambridge studies interrupted serving last days as teen navigator allied bomber command burma. Surviving joyfully hired 1948 by Crowther to mediate engineers like Neumann Einstein Turing & Economist purpose. 3 generations apart, imost unfortunate Neumann-Einstein-Turing all left earth by early 1957: last coding notes Neumann's Computer and the Brain. Economist IQuiz disliked by EU but what to do with billion times more machine brainpower celebrated by Kennedy, & the royal families of UK & Japan. Whence not surprising greatest UK AI startups deep mind & arm influenced by royal societies & Cambridge business park ( crown property) & crick/watson open sources of dna, & cavendish lab 1920s influencing Taiwan's tech grandfather. see part 2 2025report 40 years in inteligence war between bad media and good education agents Countries with good data sovereignty projects rsvp chris.macrae@yahoo.co.uk UK Japan Taiwan India France Saudi UAE Korea S Singapore HK US 1 2

Tuesday, December 30, 2003

ai foundation models posted fall 2023

 among biggest computer-training models in world - no wonder stanford report reviews their impacts on such wide range of contexts

Contents 2 1 Introduction 3 1.1 Emergence and homogenization 3 1.2 Social impact and the foundation models ecosystem 7 1.3 The future of foundation models 9 1.4 Overview of this report 12 2 Capabilities 21 2.1 Language 22 2.2 Vision 28 2.3 Robotics 34 2.4 Reasoning and search 40 2.5 Interaction 44 2.6 Philosophy of understanding 48 3 Applications 53 3.1 Healthcare and biomedicine 54 3.2 Law 59 3.3 Education 67 4 Technology 73 4.1 Modeling 74 4.2 Training 81 4.3 Adaptation 85 4.4 Evaluation 91 4.5 Systems 97 4.6 Data 101 4.7 Security and privacy 105 4.8 Robustness to distribution shifts 109 4.9 AI safety and alignment 114 4.10 Theory 118 4.11 Interpretability 123 5 Society 129 5.1 Inequity and fairness 130 5.2 Misuse 136 5.3 Environment 140 5.4 Legality 146 5.5 Economics 149 5.6 Ethics of scale 152 6 Conclusion 161 Acknowledgments 161 References 161

No comments:

Post a Comment