INTELLIGENCE-ED:-2025report welcome year75 Q&A: how does intelligence engineering of Von Neumann (Einsetin, Turing) change Keynesian economics of human deve?lopment (see also The Economist 1950-1990) 2024 Special thanks to friends in Taiwan & Bangladesh..About X**8billion-bis-Fall24 risks: Russian Roulette; SOS: Yunus Urgent Friends of Bangladesh WE (Women Empower) : Antonio Guterres, head UN; .. Poverty Museums- from co-blog to co-pilot ; 50000fans
Giant Leaps with Nvidia Q4, 2024: Summits: DC, Japan, India
Progress since 2021 (8) ai electricty gridsAI & Drug Discovery- COVID.
#@X.
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USA East Intel calendar July Axios Sustainability; : Aug 29 Hopkins AI Health Sept 24 Nist:USgov ..$$Sept 26 Hopkins::MediaEco.

;RAC, St James, London 2008 :X:www.yunuscentre.org There are 2 kinds of Economist. Those who in their youth saw poverty or nations where wars halted people's freedom to work, learn, do, commune and those who graduated in economics with none of these experiences. https://www.journalofsocialbusiness.com/editorial-board.html https://www.youtube.com/@microeconomist/videos www.normanmacrae.net www.economistdiary.com Intelligence Year 75 of Digital Twin Survey with Von Neumann www.2025report.com www.unsummitfuture.com

90 day plan 1 -can Wash DC be turned into a pro-youth capital : 9 Aug, 555 Penn Avenue - what every DC journalist should know about AI
Plan 2 can worldwide youth and teachers support king charles english llm
Year15 YUNUS FAN CLUB -45K
ABEDmooc.com
IN SEARCH OF INTELLIGENCE, LOVE & ALL THAT MATTERS MOST TO GENERATING FAMILIES JOYFUL COMMUNITY & MOTHER NATURE
lINKS 1 2 Thanks to Jen-Hsun best decade AI collection- 8000 cases improving peoples communal computation, data & brains - 2025rEPORT.COM year 75 of Neumann & Economist briefings- : 4 JULY 2024 last 80 days of UNsummitfuture.com ECONOMISTDIARY.COM
chris.macrae@yahoo.co.uk

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

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