Join David Ha from StabilityAI for a meme-packed overview of generative AI and what the future of diffusion models holds in store. This talk is part of Hugging Face’s Diffusion Models Course: Bio: David Ha is the Head of Strategy at Stability AI. He previously worked as a Research Scientist at Google, working in the Brain team in Japan. His research interests include complex systems, self-organization, and creative applications of machine learning. Prior to joining Google, He worked at Goldman Sachs as a Managing Director, where he co-ran the fixed-income trading business in Japan. He obtained undergraduate and masters degrees from the University of Toronto, and a PhD from the University of Tokyo. Twitter: Website:
This theolocution has been released early in an ad-free audio version for TOE members at Sponsors: – Drink Trade: for 30% off – Ro Man: for 20% off first order – Masterworks: *New* TOE Website (early access to episodes): Patreon: Crypto: PayPal: Twitter: Discord Invite: iTunes: Pandora: Spotify: Subreddit r/TheoriesOfEverything: LINKS MENTIONED: – Michael Levin (Solo TOE podcast): – Michael Levin Theolocution With Chris Fields & Karl Friston: – Joscha Bach Theolocution With John Vervaeke: – Joscha Bach Theolocution With Donald Hoffman: – Joscha Bach (Solo TOE podcast): TIMESTAMPS: 00:00:00 Introduction 00:01:55 Bach and Levin speak about each other’s work 00:03:34 The cell functions as a neuron 00:07:15 Software as a control pattern 00:10:55 Disciplinary boundaries in academia 00:14:38 The perceptron is a “toy model” of the brain 00:18:44 How do you identify yourself as a researcher? 00:20:10 The benefits of podcasts vs. academia 00:30:04 Beliefs of Bach’s and Levin’s that have drastically changed 00:38:54 Memory moves outside the brain structure 00:45:06 Engrams and memory storage 00:47:30 The implications of transferring memory between species 00:55:25 Weissman’s barrier 00:59:25 The notion of “competence” (Bach’s and Levin’s largest insight) 01:12:10 Virtualization for unreliable hardware 01:16:02 Defining “competence” 01:22:35 Bach’s issues with goals (for and against teleology) 01:27:34 Planarian goals and explicitly encoded instructions 01:34:55 Navigation in “Morphic Space” 01:36:11 One species’ birth defect can be another’s benefit 01:37:42 The “Intelligence Trap” and bias [More]
Learn more about other East-West Center Leadership Program virtual workshops and opportunities here: This session took place on May 6, 2021.
‘It’s about mobilizing different resources of intelligence that we have in society and using artificial intelligence as one of the many tools available to help make better decisions, better predictions and generate new types of solutions to solve problems”. Aleks Berditchevskaia, Senior Research, Nesta. Hear how AI can help to augment collective intelligence and sift through the endless amount of data available to us. This video features insights from: Carly Kind, Director, Ada Lovelace Institute Karina Vold, Postdoctoral Researcher, Leverhulme Centre for the Future of Intelligence Julien Cornebise, Director of Research AI for Good, Element AI Rosana Ardila, Senior Open Innovation Manager, Mozilla Common Voice project This video was filmed at the Nesta event: 21st century common sense: Using collective intelligence to tackle complex social challenges in October 2019.
A virtual event hosted by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the AI Initiative at The Future Society to officially announce a global alliance on the COVID-19 pandemic response. The alliance will provide an information service not yet available that is vitally important to facing and mitigating the crisis. In parallel with the UN High Level Political Forum, the launch agenda will include details on the partnership and speakers from the private sector, academia, government, and multilateral institutions, including UNESCO, the World Bank, the WHO and UN Global Pulse, offering unique perspectives on the roadblocks and opportunities to addressing the COVID-19 pandemic. Topics covered will include challenges with disparate data and determining meaningful information in the fight against the virus, as well as the importance of building multi-stakeholder collaborations.
Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics. Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organizing Systems Research Group in the study of collective behavior in biological systems and how such behaviors can be applied to computing and robotics. A professor at the Harvard School of Engineering and Applied Sciences (SEAS), her research draws on inspiration from social insects and multicellular biology, with the goal of creating globally robust systems made up of many cooperative parts. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
Catch up on the live feed from our unedited webcast! A new field of collective intelligence has emerged in recent years, supported by a wave of new digital technologies that make it possible for organizations and societies to think at large scale. But why do smart technologies not always automatically lead to smart results? Chief Executive of Nesta Geoff Mulgan shows how this intelligence has to be carefully organized and orchestrated in order to fully harness and direct its powers. SUBSCRIBE to our channel! Follow the RSA on Twitter: Like RSA Events on Facebook:… Listen to RSA podcasts: See RSA Events behind the scenes: