ReSolve Asset Management’s Post

Dario Amodei, CEO of Anthropic, just dropped one of the MoSt iMpOrtAnT essays of 2024. In "Machines of Loving Grace" and his 5-hour Lex Fridman podcast deep dive conducted yesterday, one of the most underrated voices in AI showed us the decade ahead: - Disease vanishing in years, not centuries - Poverty dissolving through abundance - Minds expanding beyond limits - Life extending past ancient bounds - Democracy strengthening through wisdom Some call it fantasy. But look closer: Each prediction is actually grounded. Each timeline mapped responsibly. Each change traced through cause and effect. This isn't hope speaking. It's inevitability computing. Because when intelligence accelerates 1000x… When science compounds exponentially …When barriers dissolve simultaneously… The impossible becomes obvious. In one decade: - 100y of medical progress compressed to 5 - Developing world leaps generations ahead - Mental health gets solved and understood - Human longevity doubled through science - Democracy enhanced through constitutional AI To me, the most detailed roadmap yet. More than showcasing what we could build, it shows we could become. And it starts now. Links on the comments.

I created a test to see if I could determine if an “Omni” model or the new Claude could work with a “world model” or is it up just predicting next token. Probably mistake ridden. I think it shows agi just ain’t even close. Weak narrow si with a lot of glam right now…. “Brittle” Kelly Cohen (people are scared for wrong reasons) Secondly I developed a thought experiment which answers a question or at least places doubt about the answer. Question “can you prove an LLM does not experience?” This question came from stephen wolfram with a recent episode of THEORY OF EVERYTHING podcast with Hoffman. Both stated you could not prove it is “not” experiencing. Going to put up these 2 posts soon as time allows. Experience would require - Time understanding (collapse with true recall) - growth / learning continuous - feeling - dynamic memory utilization / world model - flexible. Not ram:) quantum collapse (whole graph) capability not quantum computing. (People = those and it’s not accurate. ) This is diff than others suggest. Night time fun:) #genai #artificialintelligence This picture gives you hint about first problem:) Summer Crenshaw Zachary Huhn Lohith Srikanth Pentapalli

Episode 2 of Investments for Impact is now available! If you're interested in learning more about AI as a technology, how it has already significantly impacted our lives, and what we should pay attention to moving forward, this episode is a must. Thank you to our guest, Mutembei Kariuki of Fastagger, for sharing this helpful, interesting information with us! Watch or listen here: https://lnkd.in/dQfRDihV Moses Waweru

We’re ready to share some important milestones from the OSV community in October. From groundbreaking projects to inspiring creators, there’s a lot happening. For the full stories, check out our Substack: https://lnkd.in/gBz9_iCp 🎉 Book Announcement Two Thoughts: A Timeless Collection of Infinite Wisdom is coming in early 2025 under our Infinite Books imprint. This collection brings together 500 timeless insights from 250 influential minds, accompanied by striking illustrations. It’s a book designed to make you think. Stay tuned for pre-order details, and in the meantime, subscribe to Inside OSV for more brain-tickling insights. 💡 Fellowship Corner Got an idea that’s bold, ambitious, and a little wild? The O’Shaughnessy Fellowship wants to hear from you. Applications for the 2025 cohort open on January 1, 2025, with $100k ready to help bring your vision to life. Here are some highlights from our Fellows and Grantees: 🎥 Jason Carman launched The Future This Week, a newsletter curating key updates in science and technology. ✍️ Michael Dean was runner-up in the Cosmos Essay Contest with his exploration of how AI can enhance human thought. 🌍 Miyoba Hamuhuma and Enlight Abilities registered over 1,000 Zambians with disabilities, creating pathways to vital services. For more on these and other inspiring updates, subscribe to Inside OSV. 🎙️ Infinite Loops “Everywhere you look, the old models are collapsing.” Our podcast continues to ask the big questions and tackle the complex issues shaping our world. Recent episodes include: 🧠 Building a Builder Mindset with Dr. Gena Gorlin 🌌 Rockets, Dog Years, and Robotic Space Snakes with Yuk Chi Chan 🤔 Quantumania with Scott Aaronson Catch these episodes and explore others in our growing back catalogue.

I’m currently reading Yuval Noah Harari’s new book Nexus: A Brief History of Information Networks from the Stone Age to AI. Here’s an interesting conversation hosted by Sean Illing about the book with Harari: https://lnkd.in/eJYyGkG4 A short summary of the book from the podcast episode from Harari himself: “Well, the basic question that the book explores is, if humans are so smart, why are we so stupid? We are definitely the smartest animal on the planet. We can build airplanes and planes and atom bombs and computers and so forth. And at the same time, we are on the verge of destroying ourselves, our civilization and much of the ecological system. And it seems like this big paradox that if we know so much about the world and you know about distant galaxies and about DNA and subatomic particles, why are we doing so many self-destructive things? And the basic answer you get from a lot of mythology and theology is that there is something wrong in human nature. And therefore, we must rely on some outside source like a god or whatever to save us from ourselves. And I think that's the wrong answer and it's a dangerous answer because it makes people abdicate responsibility. And I think that the real answer is that there is nothing wrong with human nature. The problem is with our information. Most humans are good people. They are not self-destructive. But if you give good people bad information, they make bad decisions. And what we see through history is that yes, we become better and better at accumulating massive amounts of information, but the information isn't getting better. Modern societies are as susceptible as Stone Age tribes to mass delusions and psychosis, if you think about Stalinism and Nazism in the 20th century. So, they are extremely sophisticated societies in terms of technology and economics and so forth, and yet their view of the world was really delusional. And this is what the book explores, is why is it that the quality of our information is not improving over time? And maybe the main answer that the book gives to this is that there is a misconception about what information does. Too many people, especially in places like Silicon Valley, they think that information is about truth, that information is truth, that if you accumulate a lot of information, you will know a lot of things about the world. But most information is junk. Information isn't truth. The main thing that information does is to connect, to connect a lot of people into a society, a religion, a corporation, an army. And the easiest way to connect lots of people is not with the truth. The easiest way to connect people is with fantasies and mythologies and delusions and so forth, and this is why, yes, we have now the most sophisticated information technology in history, and we are on the verge of destroying ourselves.”

I’m happy to share that I’m starting a new position writing a column called Futures for Substack. It's about this moment in the 2020s when the future could be brilliant—or not—as a rush of new technologies and ideas are counterpoised by existential threats like climate change, the rise of authoritarianism, and more. The column is about new tech and ideas in health, life sciences, AI, business, the arts, policy, and more. I'm also asking leaders and fascinating people "the question"—"what are you most excited about and afraid of for the future, and why?"

In this episode of Signal or Noise, Peter Mallouk and Charlie Bilello outline five critical tips for investors to punch above their weight. Tune in to hear this and their discussion on the U.S. national debt, the impact of AI and whether tight credit spreads are a signal or just noise. Listen, like and subscribe.

What if I told you that the climate-economic models of the last 20 years no longer meet the demands of strategic decision-makers? Policy is driving the energy transition, yet policymakers lack the necessary tools to design for a dynamically reshaping economy. In this episode of The So What podcast by Boston Consulting Group (BCG), I sat down with the brilliant Georgie Frost to discuss the role of agent-based models in the emerging field of #ComplexityEconomics and how AI – specifically a deep learning approach to mechanism design – is showing great promise in the design of policy instruments that better optimize for both climate and socio-economic outcomes. From the forecast of renewable energy costs (see this week’s The Economist), through to the design of fairer tax policies and economically viable climate negotiation protocols, we spotlight how physicists are bringing chaos to the macro-mainstream by reinventing economics bottom-up. 👉Listen here: https://bit.ly/3VZ9NJL A special mention is made to the work of Doyne Farmer, Penny Mealy, Stephan Zheng, and their respective teams. #complexityscience #climatechange #AI 🚀Looking forward David Young Dan Eichelsdoerfer Marielle Remillard

🤖 How are you using Ai within Behavioral Science? 2023 saw the explosion of Generative Ai with tools such as ChatGPT and midjourney becoming household names. 🏦 Hamish McRae put it superbly on how transformative Ai could be to the GDP of a country.He likes it to the step change that came during the Industrial Revolution. 🔨What mechanisation did for product based economies , Ai will do for service based economies. #behavioralscience #behavioraleconomics #ai #systemsthinking #sustainability

Proof of Human 👁️👁️ You know things are about to start moving real fast when you come across that term for the first time. As artificial intelligence becomes more integrated into our daily lives, society faces a profound challenge: how do we demonstrate that behind every action, there’s still a human touch? Enter Proof of Human—the concept that as machines become more capable, our ability to distinguish real human intent, creativity, and empathy becomes more critical than ever. This isn’t just about tech—it’s about trust. In a world where deepfakes, automated responses, and AI-driven interactions are everywhere, Proof of Human may soon become essential for everything from online credibility to real-world relationships. The question is: how do we retain our human essence in a landscape dominated by machines? Link to Sam Altman introducing the orb, and more in first comment👇