{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Crazy Wisdom","title":"The Complexity Spectrum: Bridging the Gap Between Now and the Future","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/ea040ea4\"></iframe>","width":"100%","height":180,"duration":3557,"description":"Introduction:  Guest: Julie Fredrickson, Managing Partner at Chaotic Capital. Chaotic Capital is a seed-stage investment vehicle that focuses on ideas adapting humanity to complexity. Follow her on Twitter  Adapting to Complexity:  Julie raises the essential question: \"What is the primary factor linking humanity to complexity?\" As things change, it's vital to learn how to adapt and evolve. It's about more than just the traditional liberal-conservative divide.  Understanding Change:  Discussion on \"Chesterton’s fence\" – a principle highlighting the importance of understanding the reasons behind a tradition before discarding it. We often don't have all the information about why certain systems or structures exist. The concept of a \"conservative accelerationist\" is introduced. What traditions or values do people want to preserve in the face of rapid change?  Historical Perspective & Our Understanding:  Examples from history highlight our ever-evolving understanding. A millennium ago, the earth was thought to be centered; 500 years ago, it was believed flat. The movie \"Men in Black\" underscores the fluid nature of human understanding, challenging our conceptions and paradigms. Julie emphasizes the power of human inference – our unique ability to draw conclusions from information. Given our current knowledge, how does this skill evolve, and what questions do we need to ask to better understand our surroundings?  Role and Limitations of AI:  The conversation delves into whether we've provided enough context to AI systems. A significant concern is AI alignment – to what or whose standards is AI being aligned? Is it the median human, societal norms, or something else? The prospect of AI achieving human-like inference and skepticism is explored. Can AI be trained to question and fact-check itself?  The Internet, Open Source, and Corporations:  A retrospective on the internet's evolution, from closed corporate internets to open source. The dilemma of whether we'll be using...","thumbnail_url":"https://img.transistorcdn.com/UZbrDrlO5VTfDNcq188THwbv0T09vcmLyzx3BcPI9bs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Y2Rj/OGFiMTYyMGFkNTM5/N2NjOWI2MWM5YzQ1/YTc2Ny5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}