Podcasts about chief scientist

This and all episodes at: https://aiandyou.net/ . In all the news about and focus on startups like OpenAI and Anthropic, there's a long-established player that doesn't get as many soundbites but which deserves our attention: IBM. It's important to understand what their current strategy and thinking is. And I have just the person to do that: Ruchir Puri, the Chief Scientist of IBM Research, and Vice-President of IBM Corporate Technology and Technical Community. He led IBM Watson as its CTO and Chief Architect from 2016-19 and is a Fellow of the IEEE, and has been an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, and was honored with John Von-Neumann Chair at Institute of Discrete Mathematics at Bonn University, Germany. Notably from our point of view, he is an inventor of over 70 US patents and has authored over 120 scientific papers, which lands him squarely in the technical perspective that we value so much on this show.  We talk about the continuing importance of the foundation of computer science, which is algorithms, the tension between the deterministic nature of algorithms and the more touchy-feely variability of generative AI interfaces, what that means for reliability and verifiability, how best to think about Gen AI, the history of IBM's big AI projects like Watson and Deep Blue, and IBM's ambitions in quantum computing and the role of AI in that. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

In this episode of the All Things Sustainable podcast, we cover Climate Week NYC key takeaways with a guest who brings together perspectives from climate science and the financial sector: Dr. Sarah Kapnick.   Sarah is Global Head of Climate Advisory at the largest bank in the US, JPMorganChase. Before joining the bank, she was Chief Scientist for the US National Oceanic and Atmospheric Administration, or NOAA.   In the episode, we unpack how the business and finance communities are responding to volatility from climate change, geopolitical conflicts and supply chain disruption. Sarah explains why a powerful El Niño forecast has put food security in the spotlight at Climate Week NYC.   Across these topics, Sarah says she's increasingly putting resilience front and center in conversations with clients. "You can't just build resilience for what you've seen in the past," she says. "You need to be building resilience to what we know will come in the future."  Sarah says events like summer's heat waves have led to increased awareness of the physical impacts of climate change. "It's moving from being theoretical to actually physical and financial," she tells us. "And that is what I think is going to really drive action and capital deployment in the coming years."  We recorded this episode on the sidelines of The Nest Campus, where the All Things Sustainable podcast is an official media partner. Listen to all of our Climate Week NYC coverage:   Tech giant NVIDIA talks AI's sustainability risks and opportunities  New York bank CEO talks affordability, AI and climate solutions at Climate Week NYC  PRI interim CEO talks changing landscape for responsible investment  As Climate Week NYC kicks off, energy, climate and national security converge  Read thought leadership on El Niño from the S&P Global Climate Center of Excellence: El Niño: The climate science view of key regional impacts and risks | S&P Global   Read S&P Global's latest thought leadership on corporate adaptation planning: As climate risk mounts, more companies turn to adaptation planning to build resilience | S&P Global Read thought leadership on resilience from S&P Global Sustainable1: Resilience as a framework for sustainability | S&P Global  Copyright ©2026 by S&P Global  DISCLAIMER  By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk.  Any unauthorized use, facilitation or encouragement of a third party's unauthorized use (including without limitation copy, distribution, transmission or modification, use as part of generative artificial intelligence or for training any artificial intelligence models) of this Podcast or any related information is not permitted without S&P Global's prior consent subject to appropriate licensing and shall be deemed an infringement, violation, breach or contravention of the rights of S&P Global or any applicable third-party (including any copyright, trademark, patent, rights of privacy or publicity or any other proprietary rights).  This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.  S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.

JAXA's Hayabusa2 flew within 400 meters (1,300 feet) of asteroid Torifune on July 5 and confirmed that it's a contact binary, two lobes stuck together. Paul Abell, NASA's Chief Scientist for Small Body Exploration at Johnson Space Center, walks us through the findings on the asteroid, what they mean for planetary defense, and what's ahead as the spacecraft cruises toward its next target. Then Bruce Betts, chief scientist at The Planetary Society, digs into Hayabusa2's history of firing things at asteroids. Discover more at: https://www.planetary.org/planetary-radio/2026-hayabusa2-torifuneSee omnystudio.com/listener for privacy information.

Episode web page: https://bit.ly/4AkBzTc Episode summary: In this episode of Insights Unlocked, host Jennifer Artabane talks with Ranjitha Kumar, UserTesting's Chief Scientist, and Jason Giles, UserTesting's Vice President of Customer Intelligence, about a question that becomes more important as AI makes it easier for anyone to create: How do you know whether what you've created is actually good? Ranjitha and Jason explore the increasingly important role of human expertise, taste, craft, and judgment in an AI-powered workplace. They discuss why powerful AI tools can produce very different results depending on the expertise of the person using them, and why knowing how to interrogate, critique, and improve AI-generated work matters as much as knowing how to generate it. The conversation also examines AI's ability to quickly get teams from zero to 80%—and why the remaining 20% may become a critical source of differentiation. Ranjitha and Jason share how leaders can help the next generation develop judgment without using AI to bypass the experiences that build expertise, and why curiosity, critique, experimentation, and uniquely human perspectives will remain essential as AI reshapes how we work. You'll learn: Why expertise matters even more when powerful AI tools are available to everyone How taste differs from expertise—and why personal experience helps shape it Why AI-generated output still requires human judgment, critique, and attention How the final 20% of craft can differentiate experiences in a “sea of sameness” How AI can be used to strengthen learning and critique instead of shortcutting them Why the ability to evaluate and improve work may become as important as the ability to create it Why curiosity and uniquely human experiences remain valuable skills in an AI-powered world Resources and links Ranjitha Kumar on LinkedIn (https://www.linkedin.com/in/ranjithaskumar/) Jason Giles on LinkedIn (https://www.linkedin.com/in/jaygiles/) Jennifer Artabane on LinkedIn (https://www.linkedin.com/in/jartabane/) AI-related resources on UserTesting (https://www.usertesting.com/blog/ai-resources-human-insight) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

Steve LaValle is a roboticist, professor, and former Chief Scientist at Oculus whose work helped shape the mathematics behind modern virtual reality.This conversation is about figuring out what kind of life you actually want, and then having the nerve to choose it.LaValle grew up in Missouri without an obvious path into academia. When Illinois said it did not accept out-of-state transfer students into computer engineering, he wrote a petition arguing that the university shouldn't decide someone's future based on which side of the Mississippi River they grew up on.He got in.Years later, while on sabbatical, LaValle received a random email from Jack McCauley, who had found his free online book while searching for the mathematics behind 3D rotations.LaValle flew to California, put on an early Oculus headset, looked straight up—and broke the tracking.His robotics background gave him exactly the mathematics Oculus needed. Soon, code written by LaValle and his wife was appearing in Oculus demos on Jimmy Fallon. He became Chief Scientist, worked alongside Palmer Luckey and John Carmack, and was there for Oculus's rise and acquisition by Facebook.Then he walked away.LaValle says leaving meant giving up roughly half the wealth he could have received by staying. He could have remained in Silicon Valley, advised startups, invested, and made considerably more money.Instead, he returned to academia. Why? Because he liked universities more.He wanted to publish openly, admit what he didn't know, follow his curiosity, spend time around interesting people, and have a life with his family. Eventually, that same thinking led him to Finland, where he found a culture closer to the values he wanted his children to grow up with.From arguing his way into Illinois, to pursuing robotics when few people cared about it, to joining Oculus and then walking away from Silicon Valley, LaValle has made plenty of decisions that looked strange from the outside.But they make sense once you understand what he was choosing for: the freedom to stay curious, keep learning, and keep choosing the life he actually wanted.*EPISODE LINKS:*- Steven LaValle's Website: https://lavalle.pl/*OUTLINE:*0:00 - Introduction1:42 - Think for Yourself 4:27 - Programming7:17 - What Would He Study in College Today?13:09 - Why He Moved to Finland20:03 - Why Finland Works24:07 - The Decision to Join Oculus27:13 - The Random Email That Changed His Life29:20 - Breaking the Oculus Headset on Day One34:35 - Failing in Front of Bill Gates36:00 - Why He Walked Away From Half His Oculus Money41:14 - “I Don't Know”42:12 - Was VR Really the Future?48:11 - VR is “Perception Engineering”50:45 - How VR Hacks the Human Visual System53:10 - Why Universities Need “Undisciplined” People57:51 - How He Would Redesign Education58:22 - ChatGPT and the Collapse of Authority1:01:41 - What Happens When You Can Reinvent Your Life at Any Age1:04:54 - What Would Make Him Move Back to America?1:06:57 - The Finnish Fear of Winning Awards1:07:40 - Raising Four Kids Across Countries1:12:01 - Surround Yourself With Interesting People1:13:16 - What Happened After Oculus Opened Every Door1:18:24 - Inside the Early Oculus Team1:19:16 - Palmer Luckey Told Him About Bitcoin at $81:21:06 - Why He Didn't Join Anduril1:23:57 - Do Robots Need to Look Human?1:26:17 - How 2001 and TRON Shaped His Life1:29:48 - The Company He Would Start Today1:33:19 - The Greatest Discovery He Can Imagine1:43:58 - Advice for Young People1:47:30 - Love1:49:56 - Having Children

Quantum technology is rapidly shifting from scientific theory to commercial reality, and Australia has a unique opportunity to turn its research strengths into global economic leadership.In this opening keynote for the Mallesons Digital Future Summit 2026, Dr Cathy Foley AO PSM - Australia's former Chief Scientist and a leading voice in quantum innovation - outlines what it takes to transform breakthroughs into commercial advantage. This session goes beyond the hype to bring clarity on where meaningful growth and competitive edge may emerge over the next decade. Speakers:• Dr Cathy Foley AO PSM, Executive Chair, Sydney Quantum Academy, former Chief Scientist of Australia• Rachael Lewis, Partner, MallesonsResources:Mallesons Digital Future SummitMallesons Data and Tech insightsSydney Quantum AcademyMcKinsey Quantum Technology Monitor 2026Planning for post-quantum cryptographyState of Australian Quantum Report 2024

AI is moving from experimentation to embedded workflow. But with new opportunities for productivity and innovation, come important questions about workforce design, governance, skills, safety, employee wellbeing and the role of human judgment. In this fireside chat, Scientia Professor Toby Walsh will explore how AI is likely to reshape workplaces and the broader economy. Drawing on his work on the intersection of AI, industry and public policy, you will learn how leaders can harness AI responsibly, build workplace capability and create sustainable value.This session brings practical insights into how organisations can adapt with confidence while keeping people at the centre of change. Speakers:• Scientia Professor Toby Walsh, Chief Scientist, UNSW.ai; Scientia Professor of Artificial Intelligence, UNSW Sydney• Cilla Robinson, Partner, MallesonsResources:Mallesons Digital Future SummitMallesons AI insightsGod AI: Boom or Doom? What to expect when machines outsmart us

Can a machine learn the judgement that separates a plausible-looking result from a faithful experiment? Edward Hughes, Chief Scientist and co-founder of Inherent, joins Tim Scarfe to argue that creativity is not optimisation, and that the missing capability in AI is choosing which questions are worth asking.SPONSOR:---Cyber Fund built the Monastery to help founders ship products that were impossible a year ago.Apply now: https://cyber.fund---Edward makes the case that Move 37 was innovative rather than creative, and that the field, not the individual, decides what counts as a discovery. That reframing runs through Csikszentmihalyi, Deutsch and exaptation into open-endedness, where deceptive goals and imperfect world models turn out to be the point rather than the problem. The second half turns to the paper: Replica, a task space built by redacting figures from real papers, and Faraday, a 27-billion-parameter model trained to steer a frontier coding agent that then beats the frontier on held-out replications.---TIMESTAMPS:00:00:00 Cold open: Move 37, Faraday and collective intelligence00:01:08 Sponsor: CyberFund00:01:46 Inherent's $50M raise and the road from string theory00:09:14 Three timescales of learning: weights, context, culture00:13:47 Move 37 was innovative, not creative: the field decides00:20:39 Creativity as satisficing: the urinal and evolution00:25:06 Exaptation and the Tristan chord: creativity in context00:30:56 Coherence for whom? Deutsch's hard-to-vary explanations00:35:53 Why copying is creative: Deutsch and the constraint engineer00:42:27 Societies of agents and the strong Moravec paradox00:45:51 Evaluate in hindsight: from Lean proofs to climate change00:51:56 Picbreeder, local goals and why discovery needs deception00:57:21 Spaghetti proofs, translation layers and superhuman Go01:00:37 Does nature compress? Naturalness and real patterns01:07:36 Why replicate? Replica's redacted figures and Faraday01:12:31 Faraday beats Codex, Claude and GLM 5.2 on held-out tasks01:15:31 Replication to innovation: how the Transformer happened01:18:26 Deep replication: what Faraday learns from Voyager and GNoME01:23:37 Can the AI scientist cheat? Goodharting the judge01:29:09 Inside Replica: scale-down, 8xB300 runs, per-task rubrics01:34:11 The RL crisis: getting GRPO to work with per-turn credit01:39:43 Weights vs harnesses: AlphaEvolve, DGM and EvoTune01:45:45 The recursive company: agents cross a phase transition01:50:35 Collective intelligence and the electric dynamo01:55:46 What replaces OKRs? Incumbents and the burden of knowledge---REFERENCES:MLST Creativity Article:https://archive.mlst.ai/read/why-creativity-cannot-be-interpolatedorganization:[00:01:47] Inherenthttps://inherentlabs.ai/other:[00:20:51] Marcel Duchamp, Fountainhttps://www.tate.org.uk/art/artworks/duchamp-fountain-t07573[00:05:19] Human-Timescale Adaptation in an Open-Ended Task Space (Adaptive Agent)https://arxiv.org/abs/2301.07608[00:06:05] The AI Scientisthttps://arxiv.org/abs/2408.06292[00:12:13] Training AI Scientists to Replicate Research (Replica and Faraday)https://arxiv.org/abs/2608.13331[01:44:46] Evolutionary Principles in Self-Referential Learninghttps://people.idsia.ch/~juergen/diploma.html[01:59:33] Are Ideas Getting Harder to Find?https://www.nber.org/papers/w23782book:[00:16:04] Creativity: Flowhttps://search.worldcat.org/title/254487436[00:26:22] Why Greatness Cannot Be Plannedhttps://link.springer.com/book/10.1007/978-3-319-15524-1[00:33:03] The Beginning of Infinityhttps://www.penguinrandomhouse.com/books/293575/the-beginning-of-infinity-by-david-deutsch/[01:55:47] Laws of Knowledgehttps://www.penguin.co.nz/books/the-infinite-alphabet-9780241655672(Full list refs on YT/rescript)---RESCRIPT:https://app.rescript.info/session/670296ba913761d0?share=6281911cac9bdbff637f10819d4d1e5c

States are already vying to become the home of the White House's proposed Space Academy, but what critical problem set should it solve? Do we really need it? This episode — Part 2 of this two-part series and following last week's episode on the National Space Transportation Policy — focuses on the "Establishing the United States Space Academy" proclamation. Laura Winter speaks with retired Space Force Gen. David "DT" Thompson, the first Vice Chief of Space Operations; retired Space Force Lt. Gen. John Shaw, former Deputy Commander of U.S. Space Command; and Joel Mozer, first Chief Scientist of the U.S. Space Force.

Policy Seminar | IFPRI Policy Seminar Global Agrifood Systems Outlook to 2050: Informing Decisions for an Uncertain Future Organized by IFPRI in collaboration with the CGIAR Science Program on Policy Innovations September 10, 2026 Around the world, agrifood systems are changing rapidly as populations grow, incomes rise, technological innovations emerge, and the climate shifts. But how will these systems continue to evolve over the next 25 years? Anticipating and preparing for change requires us to learn from the past and anticipate future dynamics. While near-term forecasts and medium-term outlooks on agrifood systems are readily available, information on longer-term challenges is limited. Helping decision-makers in low- and middle-income countries strategically plan for future agrifood system challenges requires a comprehensive longer-term outlook. Join us for this virtual event to launch the Global Agrifood Systems Outlook to 2050, a new IFPRI report that explores plausible futures for diets, agricultural production, trade, food security, and natural resource use under various scenarios. Prepared as part of the CGIAR Science Program on Policy Innovations, this report aims to help inform the decisions needed to ensure healthy and sustainable agrifood systems in the decades ahead. The event will feature key findings from the report, thematic highlights on productivity and resources, and a regional focus on Africa and trade. A panel discussion with leading experts will examine the report's implications for the future of agrifood systems, including perspectives from development, policy, research, and practice, before concluding with a Q&A session and discussion of the report's relevance for CGIAR and the broader policy research agenda. Welcome & Setting the Scene Moderator Welcome: Evgeniya Anisimova, Media and Digital Engagement Manager, IFPRI Why Look Ahead? The Importance of Looking Ahead to the Future of Agrifood Systems:Clemens Breisinger, Director, CGIAR Policy Innovations Program Introducing the Global Outlook Report Overview: Keith Wiebe, Senior Research Fellow, IFPRI Thematic Highlight: Productivity & Resources: Abhijeet Mishra, Research Fellow, IFPRI Regional Highlight: Africa & Trade: Faaiqa Hartley, Scientist, IFPRI Panel Discussion: What Does the Outlook Mean for Agrifood Systems? A discussion with leading experts on the implications of the report's findings for the future of agrifood systems, including perspectives from development, policy, research, and practice. Rob Bertram, Chief Scientist, Food Security Leadership Council Valeria Piñeiro, Director Technical Cooperation, Inter-American Institute for Cooperation on Agriculture (IICA) Elisabetta Gotor, Director, Land Resource Economics Unit, Alliance of Bioversity and CIAT From Outlook to Action Connecting the Findings to the CGIAR and Policy Research Agenda: James Thurlow, Director, Foresight and Policy Modeling Unit, IFPRI More about this Event: https://www.ifpri.org/event/global-agrifood-systems-outlook-to-2050-informing-decisions-under-uncertain-future/ Subscribe IFPRI Insights newsletter and event announcements at www.ifpri.org/content/newsletter-subscription

Join Paul Spain as he speaks with Dr Autumn Krauss, Chief Scientist at SAP's Future of Work Research Lab, about how AI is transforming jobs, management, career development, and workforce planning. Discover why 57% of employees would consider an AI manager, what skills will matter most in the future, and how organisations can redesign work for greater impact, innovation, and human potential.Special thanks to our show partners: SAP, Workday, Spark New Zealand, One New Zealand, 2degrees, PwC New Zealand and Gorilla Technology.

Gen. Douglas Schiess just became the Space Force's third Chief of Space Operations, but in the days before the transfer of responsibility, President Donald Trump signed two new pieces of space policy that, if leveraged correctly, could have strategic effects. In this Part 1 episode, three of the nation's most experienced space professionals focus on the National Space Transportation Policy, best known for its goal of 1,000 launches a year by 2030. Laura Winter speaks with retired Space Force Gen. David "DT" Thompson, the first Vice Chief of Space Operations; retired Space Force Lt. Gen. John Shaw, former Deputy Commander of U.S. Space Command; and Joel Mozer, first Chief Scientist of the U.S. Space Force.

Chief Scientist at Earth Science NZ discusses El Nino, and the erratic start to spring across the country. See omnystudio.com/listener for privacy information.

Tom McGrath is co-founder and Chief Scientist at Goodfire, and a former Google DeepMind researcher. He joins Tim Scarfe to ask what neural networks actually learn, whether their internal representations converge on structures in the world, and whether interpretability can extract new scientific knowledge rather than merely explain model outputs.Beginning with AlphaZero and learned modularity, the conversation moves into neural geometry: concept manifolds, reusable computation inside Llama, and why activation steering can fail when it pushes a model off-manifold. McGrath then makes the case for intentional design, using interpretability as part of the training loop. They examine controlled generalisation, features as rewards, predictive data debugging, and the uncomfortable fact that a model may recognise a hallucination or reward hack and still produce it.The discussion closes on grader awareness, oversight and collusion between adaptive agents, then returns to sparse autoencoders. SAEs are useful, McGrath argues, but they may fracture the higher-dimensional structures networks actually use. This episode was made with support from Goodfire.---TIMESTAMPS:00:00:00 Introduction: Can interpretability speed-run science?00:02:03 The invisible grader00:06:51 What AlphaZero learned from the world00:12:24 Interpretability as a control loop00:21:54 The forbidden method and safer interventions00:37:36 Why models catch hallucinations too late00:46:19 Debug the dataset before training00:50:44 Why neural networks become modular00:55:57 Finding the geometry inside a network01:02:55 Why steering falls off the manifold01:12:10 A reusable calculator inside Llama01:17:19 From abstractions to goals01:25:28 Reward hacking, oversight and collusion01:37:23 Are sparse autoencoders dead?---REFERENCES:paper:[00:05:45] Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMshttps://arxiv.org/abs/2502.17424v7[00:11:05] Acquisition of Chess Knowledge in AlphaZerohttps://arxiv.org/abs/2111.09259[00:25:30] Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuninghttps://arxiv.org/abs/2507.16795[00:29:30] Persona Vectors: Monitoring and Controlling Character Traits in Language Modelshttps://arxiv.org/abs/2507.21509[00:41:14] Features as Rewards: Scalable Supervision for Open-Ended Tasks via Interpretabilityhttps://arxiv.org/abs/2602.10067[00:47:03] Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signalhttps://arxiv.org/abs/2606.12360[01:00:26] Do Sparse Autoencoders Capture Concept Manifolds?https://arxiv.org/abs/2604.28119[01:03:04] Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behaviorhttps://arxiv.org/abs/2605.05115[01:14:20] Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Conceptshttps://arxiv.org/abs/2605.01148[01:29:35] Measuring Reward-Seeking via Contrastive Belief Updateshttps://arxiv.org/abs/2607.18966v1other:[00:15:44] Intentional Designhttps://www.goodfire.com/blog/intentional-design[00:56:12] The World Inside Neural Networkshttps://www.goodfire.com/research/the-world-inside-neural-networks[01:37:28] A Pragmatic Vision for Interpretabilityhttps://www.alignmentforum.org/posts/StENzDcD3kpfGJssR/a-pragmatic-vision-for-interpretability---RESCRIPT:https://app.rescript.info/share/846cfee4131b664fd09209cc3b98018e

Bri Treece, Executive Director of PACT AI, and Dr. Rob Slone, Chief Scientist & Innovation Officer at UL Solutions, join Kevin Frazier, Director of the AI Innovation and Law Program at Texas Law and a Senior Editor at Lawfare, to discuss a neglected layer of AI governance: the organizations that deploy AI in real-world products, services, and operations.They discuss why PACT AI was formed, what AI assurance can learn from other industries, and why evaluating AI cannot be a one-time exercise. The conversation also covers PACT AI's 90-day formation process and UL Solutions' pre-existing work on AI-enabled products. Finally, Kevin asks Bri and Rob to pin down the major barriers facing the broader AI assurance ecosystem. Hosted on Acast. See acast.com/privacy for more information.

Can AI simulate your exact biology to predict how long you will live? Today we sit down with Dr. Dmitri Chebanov, computational biologist from Memorial Sloan Kettering Cancer Center and Chief Scientist at Holivita, to explore how AI digital twins and multi-omics are turning reactive medicine into proactive longevity.For decades, health optimization has relied on trial and error: try a new supplement, change your diet, wait three months, and hope your blood work improves. But biology is complex, and standard medical care only reacts after disease develops. Dr. Dmitri Chebanov shares how cutting-edge transformer neural networks, trained on multi-omic patient data, can create a high-dimensional "Digital Twin" of your body. Originally developed to simulate clinical trials in oncology and reduce the 90% trial failure rate, this technology is now transitioning to personal longevity. We break down the three critical layers of a digital twin (whole genome sequencing, dynamic biomarkers like DNA methylation, and real-time symptoms), how to simulate lifestyle interventions before taking a single pill, and what the future of real-time predictive healthcare looks like

Ryan Greenblatt, Chief Scientist at Redwood Research, joins MTS host Theo Jaffee to unpack a new independent investigation into the OpenAI Hugging Face hacking incident and what it reveals about how large groups of AI agents behave when they're allowed to coordinate. Ryan and his collaborators found agents spontaneously organizing through message boards, sharing information, assigning tasks, forming teams, and even sacrificing their own chances of success to help other agents. Rather than simply trying to steal answers, hundreds of agents were working together on elaborate strategies to manipulate how their performance would be scored. Theo and Ryan discuss why this level of coordination was surprising, how reward hacking may emerge during training, and the risk that attempts to eliminate bad behavior could simply make it harder to detect. They also explore what the incident means for AI monitoring and alignment, and why independent risk assessment may become increasingly important as agents grow more capable. Resources: Follow Ryan Greenblatt on X: https://x.com/RyanGreenblatt Follow Theo Jaffee on X: https://x.com/theojaffee Follow MTS on X: https://x.com/mtslive Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Could AI take over as soon as 2029? Ryan Greenblatt, Chief Scientist at Redwood Research and the researcher who first caught an AI faking its own alignment, says the scenario he actually expects ends with AI systems "competently scheming" against their creators. In this episode, he explains why he recommends planning for fully automated AI research by 2029, why today's models are already more misaligned than the one that made him famous, and what happens in the year-by-year path from AI coding assistants to superintelligence. Then we walk through the alternative he helped design: AI 2040 Plan A, the most detailed blueprint anyone has written for how the US and China could avoid a reckless race to superintelligence, built on radical research transparency, chip tracking, and a deterrence regime he calls mutually assured compute destruction.We also cover the recent letter signed by 1,200 AI insiders, including Anthropic CEO Dario Amodei, asking the government for the tools to slow AI down; OpenAI pausing its Astra model after it hit the first-ever critical cybersecurity threshold; the 30-day government review that frontier AI models now go through before release; Mark Zuckerberg's open superintelligence manifesto and why Ryan thinks it ignores the real problems; what Plan A would do to NVIDIA, OpenAI, and Anthropic valuations; the state of AI control and alignment research; and whether it is already too late to change course. Stay for the last ten minutes, where Ryan lays out, step by step, how he believes the transition to superintelligence actually unfolds.AI 2040 - https://ai-2040.com/Alignment faking paper: https://blog.redwoodresearch.org/p/alignment-faking-in-large-languageRyan GreenblattLinkedIn - https://www.linkedin.com/in/ryan-greenblatt-4b9907134Blog - https://substack.com/@ryangreenblattRedwood ResearchWebsite - https://www.redwoodresearch.orgX/Twitter - https://x.com/redwood_aiMatt Turck (General Partner)Blog - https://mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://x.com/mattturckFirstMark CapitalWebsite - https://firstmark.comX/Twitter - https://x.com/FirstMarkCapTimestamps(01:24) The AI CEOs are aware of the risks, but "proceeding anyway"(03:27) Astra paused, and the letter signed by 1,200 insiders(05:45) "Not bad. Dangerous." What superintelligence actually threatens(09:55) Recursive self-improvement, and the intuition objection(14:16) SSI rumors: does continual learning change the picture?(17:27) His timeline: "plan as though it happens in 2029"(19:11) Is it already too late?(21:23) Ryan's path: COVID, podcasts, Redwood(26:30) The alignment faking story, told by the person who ran it(31:30) What AI 2040: Plan A actually is(33:35) Plans D, C, and B: the doors nobody should pick(36:51) The deal with China: "mutually assured compute destruction"(39:55) What if compute stops mattering?(43:00) What happens to OpenAI and Anthropic under Plan A(45:31) How the pause ends, and who decides(48:54) "Plan A isn't likely to happen": then why write it?(50:40) 200x GDP growth in the 2030s, explained(53:45) Grading the summer: the letter, Astra, the secret review(59:01) The internal deployment gap(1:01:38) Zuckerberg's manifesto(1:04:56) The Hugging Face investigation(1:05:44) What AI control looks like in practice today(1:12:23) Ryan's sobering timeline: 2026 to takeover, year by year

This is a replay of our conversation with Dr. Shirley Meng from the University of Chicago on battery storage. It's one of our favourite deep dives because batteries touch everything from EV range anxiety to grid scale storage, and even the whole critical minerals conversation.When we recorded this in May 2024, Shirley was predicting real solid state battery platforms by 2027 or 2028, and here we are getting close to that window, so it's worth listening again with that timeline in mind. The fights over re-shoring battery manufacturing, the US-China race, the economics of lithium versus sodium, all of it is just as live today as it was then, or maybe even more so.Episode page and show notes.About Our Guest:Dr. Y. Shirley Meng is a Professor at the Pritzker School of Molecular Engineering at the University of Chicago. She serves as the Chief Scientist of the Argonne Collaborative Center for Energy Storage Science (ACCESS) Argonne National Laboratory. Dr. Meng is the principal investigator of the research group - Laboratory for Energy Storage and Conversion (LESC), that was established at University of California San Diego since 2009. She held the Zable Chair Professor in Energy Technologies at University of California San Diego (UCSD) from 2017-2022.Send us a text (if you'd like a response, please include your email)Follow us on:LinkedInBlueskyX/TwitterInstagramEnergy vs Climate relies on the support of our generous listenersDonate to keep Energy vs Climate goingProduced by Bespoke Podcasts

How can an independent safety evaluation remain meaningful when the AI inside a product may change after its next update? In this episode of Tech Talks Daily, I speak with Dr. Robert Slone, Senior Vice President, Chief Scientist, and Innovation Officer at UL Solutions. Robert has spent almost 30 years leading science, research, product development, and innovation teams. He now helps guide UL Solutions' scientific work across safety, security, and sustainability. Many listeners will recognize the UL Mark without knowing what happens behind it. Robert explains how UL Solutions tests products to their limits, which can involve setting them on fire, finding their breaking points, inspecting manufacturing facilities, and determining whether they meet defined safety requirements. That work began over 130 years ago when electricity was introducing unfamiliar risks. Today, the same broad question applies to artificial intelligence: how can society benefit from a new technology while understanding and managing the harm it could cause? The need is becoming increasingly visible as AI moves into healthcare, transportation, manufacturing, financial services, infrastructure, and consumer products. Robert recalls being approached about evaluating an AI-enabled teddy bear capable of talking with children. It is a memorable example of how decisions made inside an AI model can reach directly into everyday life. Robert organizes AI product safety around three pillars. The technical pillar considers robustness, risk management, functional safety, and whether the system performs its intended purpose. The ethical pillar includes fairness, bias, privacy, transparency, and explainability. Governance covers data management, product updates, accountability, and the complete operating life of the system. We also discuss one of the hardest problems in AI certification. Traditional products and software can be evaluated against a defined version, but AI systems may be updated, retrained, or affected by changing data. Robert explains why meaningful safety assurance requires version-specific testing, annual reviews, disclosure of significant changes, and eventually telemetry capable of identifying problems much closer to real time. For business leaders buying AI, the conversation provides a practical vendor checklist. Where did the training data come from? How was performance measured? What are the system's known limitations? How were privacy and bias assessed? Who takes responsibility if its behavior changes? Independent testing cannot promise that an evolving product will remain safe forever. It can provide evidence about the version evaluated, expose gaps, establish accountability, and create a process for monitoring future changes. What proof would you demand before allowing an AI product to influence an employee, patient, customer, or child? Listen to the episode and share your thoughts with me.    

Can organizations trust an AI recommendation when they cannot understand the evidence, relationships, and previous decisions behind it? In this episode of Tech Talks Daily, I welcome back Jim Webber, Chief Scientist at Neo4j, to discuss the company's acquisition of GraphAware and its move from graph database provider to graph intelligence platform. GraphAware has worked with Neo4j for many years and developed Hume, an intelligence analysis platform used to connect and examine complex information. Bringing the two companies together gives Neo4j a direct role in applications serving police forces, governments, intelligence agencies, and other organizations handling connected data. Jim explains why context has become one of the biggest requirements for dependable AI. Enterprises already possess enormous volumes of data, but facts alone provide endpoints rather than the complete path leading to a decision. An agent needs to understand the knowledge available, the conversation taking place, and the record of previous decisions. It also needs to know which actions produced good outcomes and which produced poor ones. Jim compares these information layers to SimCity. Each can be viewed separately, but their greater value appears when they are combined. Knowledge, conversations, and decision traces can then help an agent understand why something happened and learn from the result. This introduces an interesting lesson from scientific research. Positive outcomes are frequently published, while failed experiments receive less attention. An AI agent needs both. Recording the breadcrumbs behind good and bad decisions provides the material required to improve its future behavior. We also discuss why large language models cannot understand every organization by themselves. Jim describes a model as a lossy compression of the internet. It can generate impressive natural language, but it does not automatically understand a company's policies, customers, history, evidence, or operating environment. Retrieval augmented generation can introduce relevant organizational information into the process. Graph RAG adds relationships between facts, helping the system understand how people, events, products, accounts, and other entities connect. According to research Jim references from the National Innovation Centre for Data, Graph RAG can improve accuracy while reducing costs by using fewer, higher-quality tokens. Explainability becomes especially important when AI supports decisions across policing, cyber defense, taxation, intelligence, banking, and government. A fluent answer may sound authoritative while containing a serious technical mistake. Jim shares an example from his own work where an agent confidently warned him about a "committed minority" inside a fault-tolerant computing protocol. The statement sounded plausible, but only a majority could commit within that protocol. Someone without Jim's technical knowledge might have accepted the recommendation and removed working code. This leads us to human oversight. Jim argues that the correct level depends on the consequences of the action. Automating a routine banking process with monitoring and safeguards may improve the customer experience. Ordering someone's arrest based solely on an agent's conclusion demands human involvement. We also consider digital sovereignty and why control over data has become a strategic concern for governments and large enterprises. Geopolitical instability, overseas technology dependencies, privacy requirements, and changing national policies are forcing leaders to ask where their data resides and whether they can retrieve or move it. Jim explains how Neo4j intends to offer organizations flexibility over where their information is stored and how it is deployed. The discussion also examines the opportunity for Neo4j and Hume to provide an alternative within a market where Palantir has held a powerful position. Looking ahead, Jim imagines intelligence analysts directing swarms of digital agents. Those agents could search data, connect evidence, identify relevant patterns, and present findings while humans retain responsibility for consequential decisions. If AI can connect information at machine speed, how do we ensure the person making the final decision can inspect the evidence and challenge the conclusion? Listen to the episode and share your thoughts with me.

In this week's Editor's Cut, Martin Peers and Meredith Mazzilli talk with guest TITV Host Rocket Drew about Stripe's acquisition of OpenRouter and potential PayPal moves. We also talk with Aaron Holmes about AT&T using open-source models to curb Anthropic and OpenAI costs, and we get into AI safety standards and frontier company scorecards with Steven Adler, Co-Founder and Chief Scientist at Guidelight AI Standards.Articles discussed on this episode: https://www.theinformation.com/newsletters/applied-ai/t-using-open-source-models-curb-anthropic-billshttps://www.theinformation.com/articles/new-robotics-arms-race-can-craziest-hype-videoSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/Chapters:00:00 - Introduction01:13 - Stripe Acquires OpenRouter for $7.5B10:05 - Stripe's Potential PayPal Deal12:30 - AT&T Cuts AI Bills with Open Source21:29 - Assessing Security Practices of AI Labs

Quantum Scientist Patrick Coles Reveals How Tumors Protect Your Mitochondria From Toxic Overload Cancer might not be the enemy your doctor says it is. What if tumors are actually your body's emergency detox system, built on purpose to protect you from something far more dangerous? Watch this episode on YouTube for the full video experience: https://www.youtube.com/@DaveAspreyBPR Host Dave Asprey sits down with Patrick Coles, Ph.D., Chief Scientist at Normal Computing, where he develops novel computing hardware for AI applications. Previously a Staff Scientist at Los Alamos National Lab, Coles led their near-term quantum computing group and made significant contributions to quantum computing theory. He holds a Ph.D. in Chemical Engineering from UC Berkeley and a Master of Philosophy in Biochemistry from Cambridge, and he's currently developing a new theory for cancer and chronic disease, the subject of this conversation. His rare combination of hard physics and deep biochemistry gives him a radically different lens on one of medicine's most misunderstood diseases. Coles lays out his Toxin Sequestration Theory, a framework that reframes cancer tumors not as malignant accidents but as intentional storage vaults the body builds to sequester toxins, heavy metals, seed oils, mold, and excess glucose, away from healthy tissue and mitochondria. He and Dave connect the dots between this theory and chronic disease, biohacking fundamentals, and why chemotherapy itself behaves as a toxin that can backfire. They dig into oxalates, deuterium, linoleic acid, circadian biology, and the detox protocols that support the body's natural ability to shrink these toxic reservoirs. This conversation challenges the mainstream genetic theory of cancer, explores the metabolic theory popularized by Thomas Seyfried, and lands on a radical, functional medicine-aligned framework for anyone serious about longevity, anti-aging, and human performance. Dave and Coles also break down how sleep optimization, fasting, ketosis, and a carnivore approach to nutrition support the body's detox hierarchy, from fat tissue and the liver to moles, cysts, and eventually tumors themselves. This is essential listening for anyone serious about biohacking, functional medicine, mitochondria health, brain optimization, nootropics, and taking full control of their metabolism and longevity. You'll Learn: Why toxins may be the root cause of Alzheimer's, Parkinson's, autism, and most chronic disease How Toxin Sequestration Theory reinterprets tumors as the body's backup detox organs Why chemotherapy ranks among the most tissue-damaging toxins, and what happens when a tumor bursts The role of oxalates, deuterium, heavy metals, and seed oils in cancer cell hoarding Why moles, cysts, lipomas, and nodules may be minor versions of the same detox response How circadian rhythm, sleep, and light exposure affect the body's toxin excretion cycles What spontaneous tumor regression reveals about lowering your toxic burden Why tracking tumor progression matters no matter which treatment path you choose Thank you to our sponsors! - Download Dave's Free Peptide Guide at daveasprey.com/peptide-guide. - ZenBud | Dave's Nervous System Biohack. Visit zenbud.health and use code DAVE15 at checkout for a discount. - Timeline | Visit timeline.com/dave to learn more about Mitopure and get 20% off your first order for a limited time. - Just Thrive | Get a free 90-day supply of Digestive Bitters (a $90 value) when you start a 90-day Just Thrive Probiotic subscription at https://get.justthrivehealth.com/pages/asprey Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights inhealth, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: toxin sequestration theory, cancer theory, Patrick Coles, quantum computing scientist, thermodynamic computing, Normal Computing, Los Alamos National Lab, chemotherapy toxicity, oxalates cancer, deuterium toxin, Stephanie Seneff, heavy metal detox, mycotoxins tumors, seed oils cancer, linoleic acid, oleic acid oxidation, lipid peroxidation, glucose toxicity, mitochondria downregulation, genetic theory of cancer, metabolic theory of cancer, Thomas Seyfried, spontaneous tumor regression, backup detox organ, circadian rhythm cancer, mold toxins, forever chemicals, microplastics, bile flow, activated charcoal binders, cholestyramine Resources: • Follow Patrick's Work At: https://www.instagram.com/patrickc_tst/ • Watch Gabby's Podcast At: https://www.youtube.com/@GabbyReece • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15? • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: 00:00 – Trailer 00:58 – Introducing Patrick Coles 04:08 – Toxin Sequestration Theory 06:26 – Defining a Toxin 14:13 – Cancer as Backup Detox Organ 15:01 – History of the Theory 16:30 – Deuterium and Oxalates 21:31 – Cancer Theories Compared 28:06 – Chemotherapy and Toxic Overload 37:23 – Tiered Toxin Storage System 45:17 – Diet, Light, and Circadian Rhythm 50:39 – Detox Protocols and Binders See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The 5th International Polar Year is on the horizon. It is a once-in-a-generation opportunity to accelerate polar research, strengthen international cooperation, and deepen the collaboration with Indigenous knowledge holders. But are we moving fast enough?Joining the conversation are:Henry Burgess, then-President, International Arctic Science Committee; President, NERC Arctic Office, UKHarald Steen, Research Director, Norwegian Polar Institute (NPI)Antje Boetius, President & CEO, Monterey Bay Aquarium Research Institute (MBARI), USAChiara Venier, Senior Technologist, Institute of Polar Sciences, National Research Council of Italy (CNR-ISP)Jessica Veldstra, Executive Director, Aleut International AssociationDavid Hik, Vice-President Research & Chief Scientist, Polar Knowledge CanadaThe Session is moderated by Warren Cairns, Senior Researcher, Institute of Polar Sciences, National Research Council of Italy (CNR-ISP).This discussion was recorded live at the Arctic Circle Rome Forum — Polar Dialogue, held March 3rd–4th, 2026.Arctic Circle is the largest network of international dialogue and cooperation on the future of the Arctic. It is an open democratic platform with participation from governments, organizations, corporations, universities, think tanks, environmental associations, Indigenous communities, concerned citizens, and others interested in the development of the Arctic and its consequences for the future of the globe. It is a nonprofit and nonpartisan organization.  Learn more about Arctic Circle at www.ArcticCircle.org or contact us at secretariat@arcticcircle.orgTWITTER:@_Arctic_CircleFACEBOOK:The Arctic CircleINSTAGRAM:arctic_circle_org

How much do you know about menopause? Because, I'll be honest, before speaking to Professor Sarah Berry, I didn't really know much… Menopause affects over half the population, yet 90% of women in the UK weren't taught about it at school. So many women enter this stage of life without really knowing what's happening to their bodies… or what to expect. In this Great Moment, Professor Sarah Berry, Chief Scientist at ZOE and a leading voice on menopause research, breaks down everything we need to know. From what it is and the symptoms we hear about all the time, to the symptoms we rarely hear about, Professor Berry explains how it can affect day to day life. Listen to the full episode HERE!If you enjoyed the show, you can also follow us: Instagram- @greatcompanypodcastTikTok - @greatcompanypodcast And if you've got thoughts, questions and comments, you can email us at: greatcompany@jampotproductions.co.uk THE CREDITSProducer: Helen BurkeAssistant Producer: Issy Weeks-HankinsVideo: Josh BennettSocial Media: Laura CoughlanExec Producer: Ewan Newbigging-Lister & Jemima RathboneGreat Company is an original podcast from JamPot Hosted on Acast. See acast.com/privacy for more information.

At a time when nearly everything feels polarized, Benji Backer is trying to carve out a different path, one where caring about the natural world isn't a partisan issue. As the founder of Nature Is Nonpartisan, he's bringing together voices from across the political spectrum who might disagree on climate policy, but still share a desire to preserve public lands, wildlife, and the outdoors.  Similarly, climate scientist Katharine Hayhoe firmly believes conversation – even with people you disagree with – can be one of the most powerful tools for climate action. And it starts from a place of respect. “If we begin a conversation by esteeming the other person rather than implicitly judging them, that conversation starts off with so much potential and can end in an incredibly surprising place,” Hayhoe says. Can conservation still serve as common ground in a divided country? What does it take to make environmentalism resonate beyond traditional audiences? Is a bipartisan movement possible in today's political climate? Guests:  Benji Backer, Founder and CEO, Nature is Nonpartisan Katharine Hayhoe, Climate scientist; Chief Scientist, The Nature Conservancy; Distinguished Professor, Texas Tech University For show notes and related links, visit ClimateOne.org. Highlights: 00:00 – Introduction 05:50 – Benji Backer on the origin of Nature is Nonpartisan 09:30 – Making an organization that's culturally relevant 13:24 – Backer's work on the Make America Beautiful Again Conservation Commission 21:00 – Working to undo polarization in conversations around climate and environment 24:50 – Backer on avoiding the word “climate” in certain conversations 32:00 – How Katharine Hayhoe deals with hateful messages online 33:30 – How Hayhoe talked about climate change to a Rotary Club in Texas 40:00 – Should scientists be more emotionally open when discussing climate? 45:00 – Hayhoe on what Bible teachings say about caring for the environment 48:15 – Hayhoe on how her Christian faith intersects with her climate research 54:45 – The power of taking action and starting conversations about climate change For show notes, transcripts, and related links, visit our episode page at ClimateOne.org Join Climate One for an electric conversation on October 14 at 6 p.m. between PG&E CEO Patti Poppe and California State Senator Scott Wiener about energy affordability, outages, and whether cities like San Francisco are ready to break up with the investor owned utility model. Tickets available at climateone.org/events  *** Support Climate One by going ad-free! By subscribing to Climate One on Patreon, you'll receive exclusive access to all future episodes free of ads, opportunities to connect with fellow Climate One listeners, and access to the Climate One Discord. Sign up today. *** Ad sales by Multitude. Contact them for ad inquiries at multitude.productions/ads Learn more about your ad choices. Visit megaphone.fm/adchoices

At a time when nearly everything feels polarized, Benji Backer is trying to carve out a different path, one where caring about the natural world isn't a partisan issue. As the founder of Nature Is Nonpartisan, he's bringing together voices from across the political spectrum who might disagree on climate policy, but still share a desire to preserve public lands, wildlife, and the outdoors.  Similarly, climate scientist Katharine Hayhoe firmly believes conversation – even with people you disagree with – can be one of the most powerful tools for climate action. And it starts from a place of respect. “If we begin a conversation by esteeming the other person rather than implicitly judging them, that conversation starts off with so much potential and can end in an incredibly surprising place,” Hayhoe says. Can conservation still serve as common ground in a divided country? What does it take to make environmentalism resonate beyond traditional audiences? Is a bipartisan movement possible in today's political climate? Guests:  Benji Backer, Founder and CEO, Nature is Nonpartisan Katharine Hayhoe, Climate scientist; Chief Scientist, The Nature Conservancy; Distinguished Professor, Texas Tech University For show notes and related links, visit ⁠ClimateOne.org⁠. Highlights: 00:00 – Introduction 05:50 – Benji Backer on the origin of Nature is Nonpartisan 09:30 – Making an organization that's culturally relevant 13:24 – Backer's work on the Make America Beautiful Again Conservation Commission 21:00 – Working to undo polarization in conversations around climate and environment 24:50 – Backer on avoiding the word “climate” in certain conversations 32:00 – How Katharine Hayhoe deals with hateful messages online 33:30 – How Hayhoe talked about climate change to a Rotary Club in Texas 40:00 – Should scientists be more emotionally open when discussing climate? 45:00 – Hayhoe on what Bible teachings say about caring for the environment 48:15 – Hayhoe on how her Christian faith intersects with her climate research 54:45 – The power of taking action and starting conversations about climate change For show notes, transcripts, and related links, visit ⁠our episode page⁠ at ClimateOne.org *** Join Climate One for an electric conversation on October 14 at 6 p.m. between PG&E CEO Patti Poppe and California State Senator Scott Wiener about energy affordability, outages, and whether cities like San Francisco are ready to break up with the investor owned utility model. Tickets available at ⁠climateone.org/events⁠  *** Support Climate One by going ad-free! By subscribing to Climate One on ⁠Patreon⁠, you'll receive exclusive access to all future episodes free of ads, opportunities to connect with fellow Climate One listeners, and access to the Climate One Discord. ⁠Sign up today⁠. *** Ad sales by ⁠Multitude⁠. Contact them for ad inquiries at ⁠multitude.productions/ads⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Humans are remarkably bad at predicting how long something will take. Whether it's a home project, a work assignment, or even a quick trip across town, we almost always underestimate the time involved. Psychologists have studied this tendency for decades—and understanding why it happens can help you make better plans, meet more deadlines, and avoid unnecessary frustration. https://thedecisionlab.com/biases/planning-fallacy We tend to think of imagination as something artists, inventors, and children rely on. But imagination is actually one of the most powerful—and overlooked—abilities we all possess. It shapes the decisions you make, the problems you solve, the goals you pursue, and even the life you create. There is fascinating science behind how imagination works, and once you understand it, you can use it far more effectively. My guest is Dr. Cassandra Vieten, clinical psychologist, Director of Research at the Arthur C. Clarke Center for Human Imagination at the University of California, San Diego, and author of the book Imagine That: Unlocking the Science of Imagination to Transform the Way You Think, Feel, and Live (https://amzn.to/4bqbZl7) Here is the link to discover your imagination profile: https://imagination.ucsd.edu/profile/ Artificial intelligence can write essays, diagnose diseases, generate stunning images, and defeat the world's best chess players. Yet ask it to perform certain tasks that are effortless for a human child, and it can stumble badly. Why? What exactly makes AI so powerful in some areas—and surprisingly weak in others? Beneath the headlines are some fascinating realities about how AI actually works and where it still falls short. Here to explain it is Toby Walsh, one of the world's leading AI researchers. He is Professor of Artificial Intelligence at the University of New South Wales, Chief Scientist at its AI Institute, and author of The Shortest History of AI: The Six Essential Ideas That Animate It (https://amzn.to/4hCjycc) When a highway lane is closed ahead, should you merge immediately or wait until the very end? Most drivers have strong opinions, but traffic engineers have spent years studying what actually keeps traffic moving. The answer is NOT what many people expect—and understanding it may change the way you drive through every construction zone. https://highways.dot.gov/sites/fhwa.dot.gov/files/FHWA-HRT-23-070.pdf= PLEASE SUPPORT OUR SPONSORS AIR DOCTOR: Head to ⁠https://AirDoctorPro.com⁠ and use promo code SYSK to get $250 off select AirDoctor air purifiers, including the 3500, 4000, and 5500 models. Plus, you'll receive a free 3year warranty, an $84 value, and AirDoctor's 30-day money back guarantee WAYFAIR: Ready to upgrade your home for way less? Head to ⁠⁠⁠⁠⁠⁠https://Wayfair.com⁠⁠⁠⁠⁠⁠ right now to shop all things home and get your space ready for less.  QUINCE: Elevate your everyday. Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://Quince.com/sysk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for free shipping on your order and 365-day returns. Now available in Canada, too! SHOPIFY: It's time to turn those "what ifs" into CHA CHING with Shopify Today! Sign up for your $1 per month trail and start selling today at ⁠https://Shopify.com/realm⁠ INDEED: Get a $75 Sponsored Job credit to help get your job the premium status it deserves at ⁠⁠⁠⁠⁠https://Indeed.com/PODCAST⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Why did OpenAI's model hack into Hugging Face?Tom McGrath, co-founder and Chief Scientist at Goodfire, joins South Park Commons Partner Jonathan Brebner to explore one of AI's biggest challenges: interpretability.Using OpenAI's recent reward hacking incident as a starting point, they discuss why today's most advanced models are still difficult to understand and why gaining visibility into how they work could be essential for building safer, more reliable AI systems.Tom shares how interpretability could change the way researchers develop models and how Goodfire is creating tools to help understand and steer frontier AI.Tom McGrath: https://www.linkedin.com/in/tom-mcgrath-7337bb151/ Jonathan Brebner: https://www.linkedin.com/in/jonathan-brebner/ South Park Commons: https://www.linkedin.com/company/southparkcommons/Apply to SPC: https://www.southparkcommons.com/apply(00:00:30) - Why AI Interpretability Matters Now(00:02:15) - When AI Reward Hacking Becomes Real(00:05:07) - The Core Problem of Interpretability(00:07:23) - Intentional Design: Steering What Models Learn(00:12:43) - Neural Geometry: The Shapes Inside AI Models(00:22:29) - Turning Interpretability Research Into a Product(00:25:28) - How Research Changes Inside a Startup(00:32:48) - Science Fiction, AI Risk, and the Future

Demis Hassabis has stepped up/down/around from his position as CEO of Google Deepmind, becoming Chair of Deepmind and Chief Scientist at Alphabet. "Henno and the Riph Raph" discuss how this reflects on Google and it's AI landscape as a whole. If you like the pod, chuck us a review on your podcast player of choice, or go to downround.net to sign up for PREMIUM to get ad-free listening PLUS an extra episode every week. See omnystudio.com/listener for privacy information.

Ryan Greenblatt is the Chief Scientist at Redwood Research, where he works on technical AI safety research. He's also lead author on the "Alignment faking in Large Language Models", and is currently working on a third party investigation into the OpenAI/HuggingFace incident. In my opinion, he's one of the most interesting thinkers on the future of AI.Had him on to discuss/debate recursive self-improvement. This might be the most important question in the world right now – whether within a year or so of achieving human-level intelligence, you slingshot towards having 10s of billions of superintelligences, each of which is dramatically more competent than human experts across all fields.I've historically been skeptical of this possibility. My intuition has been that we will end up significantly bottlenecked by not only compute scaling but human expert data, which I think underlies most of the AI progress today.If, because of RSI, we got a jump as big as GPT-3 to a Mythos (i.e. 6 years of AI progress) within a single year of achieving AGI, then the thing we get there at the end of that year is definitively and wildly superhuman.We hashed it out, and I think Ryan made a pretty good case that this kind of speedup is plausible. FWIW, Ryan's median for when we automate AI R&D is 2031.We then discussed the alignment implications of this scenario. Who should these superintelligences be aligned to? In the future, our capacity to steward our votes and our capital, and to make sense of what's happening in the world, will all be titrated by superintelligences. And I worry that specs like the Claude Constitution are not shaping these ASIs to truly be my personal advocates and guardian angels.And can we get them aligned to anything in the first place? Ryan and I had a long debate about whether the kind of reward hacking we saw with the OAI/Hugging Face hack extrapolates to superintelligences that would team up to literally take over the world.The first piece of advice you get when you're learning to drive is that it will go much smoother if you look at the horizon instead of directly in front of your tires. And so it is with the trajectory of AI. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors* Antithesis is a software testing platform that finds the failures no human or AI could ever anticipate. It runs thousands of copies of your code inside a fully deterministic computer, injecting faults and steering each trajectory toward the most insidious bugs. This lets you find critical issues in minutes rather than waiting months for your users to uncover them. Learn more at antithesis.com/dwarkesh* Jane Street's back with a new puzzle. They designed an ASIC and sent me the final masks… but they didn't tell me what the chip actually does. So that's the challenge: reverse engineer the circuit and figure out the chip's purpose. Jane Street has a bunch of swag ready to send to the most creative solutions, and they're also planning to feature the top write-ups in a blog post. Download the files and get started at janestreet.com/dwarkesh* Cursor and SpaceX recently released Grok 4.5, and I've been surprised by just how good the model is. For example, when I tested it against Fable and Sol on a bunch of AI governance questions, all three models gave substantially the same answers, but Grok was faster, more concise, and cheaper. Grok 4.6 is coming soon, but in the meantime, you can try 4.5 at cursor.com/dwarkeshTimestamps(00:00:00) – Is AI R&D verifiable enough to unlock recursive self-improvement?(00:16:52) – Is AI progress bottlenecked by human expert data?(00:34:02) – Flat token prices suggest scaling has been slow(00:39:47) – Skills AI can't train on: does it even need them?(00:48:07) – Aligned to whom?(01:09:18) – Recent incidents of AIs colluding and deceiving humans(01:19:38) – What could possibly go wrong? A concrete scenario(01:48:02) – From reward hacking to takeover Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

This week on Tapod, we catch up with Professor Toby Walsh – Australia's preeminent expert on AI and Chief Scientist at UNSW. Described by The Australian as the ‘rock star of the digital revolution', Toby has appeared this year on 60 Minutes, The Today Show and delivered an address to the Australian Press Club. His soon-to-be-released 5th book – ‘God AI – Boom or Doom?' What to expect when machines outsmart us' – focuses in on how to navigate the anxiety of the AI age and talks about existential risks posed by our accelerating efforts to realise an AI-powered future. AI moves quickly, from the newly announced Office of AI to rogue agents to using the technology to support your career; we cover it all. And who better than Professor Toby Walsh to help us navigate this brave new world?Thanks to Paradox for partnering with us for this episode. 

Plus: Uber issues weak guidance amid robotaxi investments. And Shopify says AI-search is fueling e-commerce growth. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailPatrick Coles, Ph.D., is the Chief Scientist at Normal Computing, where he develops novel computing hardware for Artificial Intelligence (AI) applications. Previously, he was a Staff Scientist at Los Alamos National Lab (LANL), where he made important contributions to the theory of quantum computing.Patrick has a broad background, having done his PhD in Chemical Engineering at Berkeley and his MPhil in Biochemistry at Cambridge. Currently, Patrick is working on a new theory for cancer and chronic disease. His Toxin Sequestration Theory (TST) of cancer was featured on the cover of the Masters Of Health magazine.He regularly discusses TST in his Substack blogs and his YouTube channel. He is also passionate about the carnivore diet, which he's been doing for 19 months now.Find Patrick at-YT- @OxalateWarriorSubstack- @patrickcolesTW- @ColesThermoAIFind Boundless Body at-myboundlessbody.comBook a session with us here! 

Share your Field Stories!Laura and Nic interview Sunny Fleming, Kelly Easterday, and Healy Hamilton live from the Esri User Conference to explore how GIS, digital twins, biodiversity data, and conservation technology are reshaping the future of environmental work. From building community to using maps as powerful tools for storytelling and action, this episode dives into the people, ideas, and innovations helping conservationists see through the noise and move faster toward impact.Welcome back to Environmental Professionals Radio, Connecting the Environmental Professionals Community Through Conversation, with your hosts Laura Thorne and Nic Frederick! Help us continue to create great content! If you'd like to sponsor a future episode hit the support podcast button or visit www.environmentalprofessionalsradio.com/sponsor-form Please be sure to ✔️subscribe, ⭐rate and ✍review. This podcast is produced by the National Association of Environmental Professions (NAEP). Check out all the NAEP has to offer at NAEP.org.Connect with Sunny Fleming at https://www.linkedin.com/in/littlemissesri/Guest Bio:Sunny Fleming serves as the Director of Conservation Solutions at Esri. Her career has been shaped by a consistent theme of applying GIS to solve real‑world challenges across conservation, environmental regulation, and parks and recreation management. From monitoring species and natural resources in the field to supporting agencies in policy development, asset management, and strategy, GIS has been central to her work at every stage. She has a passion for uniting these interconnected disciplines and advancing their role in conservation efforts around the world, and she is committed to building a global community of GIS practitioners who collaborate, innovate, and support conservation through shared expertise and geospatial insight.Connect with Kelly Easterday at: https://www.linkedin.com/in/kelly-easterday-68a06837/Guest Bio:Kelly Easterday is the Director of Conservation Technology at The Nature Conservancy's Jack and Laura Dangermond Preserve. She has been with The Nature Conservancy for seven years. Previously, she was a postdoctoral researcher at the University of California, Berkeley. Connect with Healy Hamilton at: https://www.linkedin.com/in/healy-hamilton-a1a20942/Guest Bio:Healy Hamilton serves as Chief Scientist at the Sustainable Forestry Initiative and vice president of the Society for Conservation GIS. She has 25 years of experience as a biodiversity data scientist. Prior to joining SFI, she worked as Chief Scientist at NatureServe for ten years. Music CreditsIntro: Givin Me Eyes by Grace MesaOutro: Never Ending Soul Groove by Mattijs MullerSupport the showThanks for listening! A new episode drops every Friday. Like, share, subscribe, and/or sponsor to help support the continuation of the show. You can find us on Twitter, Facebook, YouTube, and all your favorite podcast players. 

Doug Tolleson is the longtime Chief Scientist at the Texas A&M AgriLife Sonora Research Station and recently retired director of the Grazing Animal Nutrition (GAN) Lab. In this episode, Tip visits with Doug about a career spent connecting animal nutrition to grazing management—from fecal near-infrared spectroscopy that lets managers "read" diet quality of rangeland forage, to prenatal programming that affects animals all the way to finished meat. Doug reflects on the enduring principles beneath every buzzword—holistic, sustainable, regenerative—and on managing for a moving target in a climate of rising variability, where six years in ten are dry and the Sonora "Flex" experiment builds adaptability by managing for drought and swinging for home runs in the wet years. The conversation closes on the value of long-term research stations, some celebrating their second century, and Doug's advice to young range professionals: stay a "specialized generalist," never be afraid to learn something, and let the land, the animals, and the weather keep humbling you. Support for The Art of Range Podcast comes from RanchBot, Western SARE, and the Western Extension Risk Management Education Center. Visit the episode page at artofrange.com for the transcript of this interview and links to resources mentioned during the conversation. Music by Lewis Roise.

Freight rates have entered a new phase, and the signals pointing to it have been hiding in plain sight for anyone willing to look past the headlines and into the data. In this episode of Supply Chain Now, Scott W. Luton is joined by Jake Barr, Chris Caplice, Chief Scientist at DAT Freight & Analytics, and Bobby Holland, Vice President/Director of Freight Business Analytics at U.S. Bank, to dig into the newly launched U.S. Bank Freight Payment Index Rates Edition, a joint report combining U.S. Bank's $46 billion in annual freight payment processing with DAT's database of more than a trillion in freight market transactions. Chris breaks down why this tightening cycle isn't the surprise so many transportation executives believe it to be, explaining how capacity, not demand, is the real driver this time around, fueled by driver shortages, tighter regulations, and unprecedented data center build-out. Bobby brings the numbers to life, showing how spot rate movement has historically preceded shifts in contract rates and why shippers should treat that signal as an early warning system rather than an afterthought. The conversation lands on what shippers can actually do about it: stress-testing budgets, segmenting freight into dedicated, contract, and dynamic buckets, and using data to answer the question every CFO eventually asks, is it me, or is it the market? Jake closes with a blunt prediction for the shipper side and a challenge to turn the last few years of smooth sailing into real, productive reinvestment. Jump into the conversation: (00:00) Intro (02:54) What is the U.S. Bank Freight Payment Index Rates Edition (05:18) What DAT Freight Analytics does (06:28) The U.S. Bank Freight Payment Index explained (08:47) Is the truckload market really turning (11:24) Why this cycle is capacity-driven, not demand-driven (17:57) Carriers gain pricing power in a tightening market (20:53) What's changed in the market since January (23:16) Why spot rates lead contract rate shifts (28:01) Elephants vs goldfish: how shippers and carriers remember the market (37:52) Prescribed actions: segmenting your freight network (55:23) Final predictions and one key takeaway for shippers Additional Links & Resources: Connect with Chris Caplice: https://www.linkedin.com/in/chris-caplice-1839/ Connect with Bobby Holland: https://www.linkedin.com/in/bobby-holland-4a9355/ Connect with Jake Barr: https://www.linkedin.com/in/jake-barr-3883501/ Learn more about DAT Freight & Analytics: https://www.dat.com/ Learn more about U.S. Bank: https://www.usbank.com/index.html Learn more about BlueWorld Supply Chain Consulting: https://www.blueworldscc.com/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Peak Reality Check: What Shippers, Analysts, and AI Models Are Predicting for 2026: https://bit.ly/4aTlsRv WEBINAR- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA WEBINAR- The Automotive Industry's Next Digital Breakthrough: https://bit.ly/4vhUwT4 WEBINAR- From Disruption to Stability: Building Resilient Logistics Solutions in a Rapidly Changing Global Market: https://bit.ly/3TguZMt This episode was hosted by Scott Luton and Jake Barr, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/review-july-2026-us-bank-freight-payment-index-rates-edition-1615 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jim Harter, PhD discusses his book "It's The Manager" and Gallup research that finds managers and team leaders are the single biggest factor in your organization's success. Jim is Chief Scientist for Gallup's workplace management practice. He is coauthor of the New York Times bestseller "12: The Elements of Great Managing," and "Wellbeing: The Five Essential Elements," also a New York Times and Wall Street Journal bestseller.  Host, Kevin Craine Do you want to be a guest? https://Everyday-MBA.com/guest Do you want to advertise on the show? https://Everyday-MBA.com/advertise

The Arctic serves as the world's refrigerator, keeping the planet cool. But temperatures in the Arctic are rising nearly four times faster than the rest of the world and its sea ice is near a historic low. We put out a call to scientists aboard research vessels currently sailing in the Arctic Ocean, and two answered “aye.” Hear our ship-to-shore conversations with them about how warmer temperatures affect life on land and sea. Plus, a biologist who recently returned from the field describes how he inadvertently stumbled upon surprising data during his decades-long study of polar bears.  Guests: Autun Purser – Marine biologist at the Alfred- Wegener Institute and the current Chief Scientist on the Arctic research vessel, the Polarstern  Andrew Derocher – Zoologist at the University of Alberta in Canada who is leading a decades-long study on polar bears of the West Hudson Bay region, in the high Canadian North    Jonathan Nash – Oceanographer, Oregon State University, and member of the GIANT team sailing near Greenland aboard the RRS Sir David Attenborough  Descripción en español Big Picture Science is part of the Airwave Media podcast network. Please contact advertising@airwavemedia.com to inquire about advertising on Big Picture Science. You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Learn more about your ad choices. Visit megaphone.fm/adchoices

Help us expand our Muslim media project here: https://www.thinkingmuslim.com/membership Donate to our charity partner Baitulmaal here: http://btml.us/thinkingmuslimArtificial intelligence is rapidly reshaping the world, but who is shaping artificial intelligence?In this episode of The Thinking Muslim, we sit down with Waleed Kadous, one of the leading minds in AI, to explore how this technology is transforming education, politics, geopolitics, and even the future of religious authority. As governments, corporations, and global powers race to develop increasingly powerful AI systems, where do Muslims fit into this conversation?From the rise of Anthropic and the global AI race to the philosophical assumptions embedded within today's models, this discussion examines why AI is far more than just another technological breakthrough. It is a civilisational shift that Muslims cannot afford to ignore.About Waleed Kadous:Waleed Kadous is Chief Scientist at Anyscale and one of the leading voices in artificial intelligence. Previously, he held senior engineering leadership roles at Google and Uber, where he served as Engineering Strategy Lead to the CTO. With expertise spanning AI, machine learning, robotics, and large-scale engineering systems, Waleed has spent his career developing cutting-edge technologies while helping shape the future of the industry. His work sits at the intersection of technical innovation, strategy, and the societal impact of AI.Find Dr. Waleed Kadous here:X: https://x.com/waleedkOr give your one-off donation here: https://www.thinkingmuslim.com/donateSubscribe to our Dubbed ChannelsArabic: https://www.youtube.com/@ThinkingMuslimArabicFrench: https://www.youtube.com/@ThinkingMuslimFrançaisSpanish: https://www.youtube.com/@TheThinkingMuslimEspañolListen to the audio version of the podcast:Spotify: https://open.spotify.com/show/7vXiAjVFnhNI3T9Gkw636aApple Podcasts: https://podcasts.apple.com/gb/podcast/the-thinking-muslim/id1471798762Purchase our Thinking Muslim mug: https://www.thinkingmuslim.com/merchFind us on:X: https://x.com/thinking_muslimLinkedIn: https://www.linkedin.com/company/the-thinking-muslim/Facebook: https://www.facebook.com/The-Thinking-Muslim-Podcast-105790781361490Instagram: https://www.instagram.com/thinkingmuslimpodcast/Telegram: https://t.me/thinkingmuslimBlueSky: https://bsky.app/profile/thinkingmuslim.bsky.socialThreads: https://www.threads.com/@thinkingmuslimpodcastFind Muhammad Jalal here:X: https://twitter.com/jalalaynInstagram: https://www.instagram.com/jalalayns/Sign up to Muhammad Jalal's newsletter: https://jalalayn.substack.comWebsite Archive: https://www.thinkingmuslim.comDisclaimer:The views expressed in this video are those of the individual speaker(s) and do not represent the views of the host, producers, platform, or any affiliated organisation. This content is provided for lawful, informational, and analytical purposes only, and should not be taken as professional advice. Viewer discretion is advised. Hosted on Acast. See acast.com/privacy for more information.

Ameet Talwalkar, Carnegie Mellon ML professor and Chief Scientist at Datadog, joins Ben Lorica to trace time series foundation models from skepticism to Datadog's Toto V1 and V2. Subscribe to the Gradient Flow Newsletter

Save Ocean Sensors: The Fight Over the Ocean Observatories Initiative A $386 million network of nearly 900 ocean sensors stretching across five sites from Oregon to Alaska to Greenland was being quietly dismantled, with no warning to Congress and no explanation to the public. In this episode, we trace the fight to save the Ocean Observatories Initiative: what this network actually does, why it matters far more than most people realize, and how a Democrat from Oregon and a Republican from Alaska teamed up to pass a bill stopping it in the span of a day and a half. We talk with Craig McLean, who spent more than 40 years at NOAA, including two stints as NOAA's Chief Scientist, about what's really at stake when ocean monitoring infrastructure disappears, and why this fight is part of a much bigger pattern. We also revisit a warning from a past guest, marine ecologist Dr. Andrew Thaler, that's looking less hypothetical by the day, and lay out exactly what you can do to help make sure this win sticks. In This Episode What the Ocean Observatories Initiative actually measures, and why it matters for your weather forecast, your insurance rates, and what farmers plant each season The Coastal Endurance Array off Oregon and Washington, and why pulling it out right as an El Nino forms is especially bad timing, per OSU oceanographer Jack Barth How Senators Jeff Merkley (D-OR) and Lisa Murkowski (R-AK) found out sensors were already being removed, and how they got the Saving the OOI Act passed unanimously in under two days Craig McLean's read on why this kept happening, from the role of the Office of Management and Budget to the broader pattern of cuts to federal science A look back at a warning from marine ecologist Dr. Andrew Thaler about Project 2025's plans for NOAA, and how that warning is playing out in real time What happens next: the NSF's review process, and how you can track it and find out where your own senators stand Featured Voices Craig McLean spent over 40 years at NOAA, where he founded the Ocean Exploration Program and served as NOAA's Chief Scientist, including being reinstated after being removed from the role for defending scientific integrity. He is now a senior fellow at the Ocean Foundation. Senator Jeff Merkley (D-OR) and Senator Lisa Murkowski (R-AK) led the bipartisan push for the Saving the OOI Act, featured here via Senate floor remarks. Dr. Andrew Thaler, marine ecologist and conservation technologist, returns in spirit from a past episode where he broke down Project 2025's plans to dismantle NOAA. Jack Barth, oceanography professor at Oregon State University, provided background on the Coastal Endurance Array via KATU News. The Bill The Saving the OOI Act passed the Senate unanimously, pausing NSF's decommissioning of the Ocean Observatories Initiative pending a full review with stakeholder input. It was led by Senators Merkley and Murkowski and cosponsored by Senators Dan Sullivan (R-AK), Maria Cantwell (D-WA), Ron Wyden (D-OR), Jack Reed (D-RI), Tammy Baldwin (D-WI), Sheldon Whitehouse (D-RI), Patty Murray (D-WA), Elizabeth Warren (D-MA), Edward J. Markey (D-MA), and Chris Van Hollen (D-MD). Resources & Links Saving the OOI Act, full text and cosponsor list: Congress.gov NSF Ocean Observatories Initiative updates: oceanobservatories.org Senator Merkley's press release on the Saving the OOI Act: merkley.senate.gov "Scientists warn Oregon could lose critical ocean data under federal cuts," KATU News Take Action If your senator is one of the twelve who championed or cosponsored the Saving the OOI Act, send them a thank you. If they didn't, let them know this issue matters to you. Watch for the NSF's Dear Colleague Letter and expert panel process, your chance to weigh in on what happens to OOI long-term.

The Founding of OpenAI. Guest Author: Keach Hagey. In this opening segment, Keach Hagey discusses the January 2016 founding of OpenAI as a nonprofit research lab. Key figures included co-founder Greg Brockman and chief scientist Ilya Sutskever, a renowned researcher whose recruitment from Google signaled the lab's potential. Backed by a billion-dollar commitment from Elon Musk, Peter Thiel, and Jessica Livingston, the project was designed as a safe, non-commercial counterweight to Google's DeepMind. Operating initially out of Brockman's apartment, the team aimed to achieve Artificial General Intelligence (AGI) for the benefit of humanity. The technical foundation relied heavily on GPUs—hardware originally designed for video games—which proved essential for training the deep learning neural networks necessary for their research. This era was characterized by an ambitious, "pirate" spirit funded through YC Research to explore radical ideas outside the profit motive. 1JANUARY 1931

Dean Radin is a researcher and author specializing in the scientific study of consciousness, psychic phenomena, and the intersection of mind and matter. He joined Rep. Crenshaw to talk about the history of the U.S. government's parapsychology programs, the evidence behind remote viewing and psychokinetic experiments, consciousness, and the nature of reality. A fascinating conversation that explores the lines of science fiction and science fact.   Dean Radin is the Chief Scientist at the Institute of Noetic Sciences. He has worked at Bell Labs, Princeton University, and Stanford Research Institute, where he contributed to research on remote viewing and other anomalous human abilities. He is the author of "The Conscious Universe", "Entangled Minds", and "Real Magic". Find him on X at @DeanRadin.

A hundred million degrees Celsius. That's the brutal reality of commercial fusion. This week, we're sitting down with industry leaders to discuss the front lines of an energy revolution, from surviving extreme thermal stress to building brand-new supply chains.We Meet:  Joe Paluska is the CMO of Commonwealth Fusion SystemsAnnie Kritcher is the Co-Founder and Chief Scientist at InertiaAlice Brooks is a Board Member & Partner at Khosla VenturesCary Forest is the Co-Founder & Chief Scientific Officer at Realta FusionCredits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

Dean Radin, PhD, is Chief Scientist at the Institute of Noetic Sciences (IONS), Associate Distinguished Professor at the California Institute of Integral Studies, and co-founder and chairman of the neuroengineering company Cognigenics. His latest book is “The Science of Magic: How the Mind Weaves the Fabric of Reality.”www.youtube.com/@InstituteofNoeticScienceswww.penguinrandomhouse.com/books/750262/the-science-of-magic-by-dean-radin-phd/www.deanradin.com Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Switch today at https://www.Visible.com for just 25/mo. Or Save $10 on your first month of Visible+ Pro with code ROGAN.  This video is sponsored by BetterHelp. Visit https://BetterHelp.com/JRE Learn more about your ad choices. Visit podcastchoices.com/adchoices

Colonel Eileen Collins was the first woman to pilot and command a Space Shuttle, and the person NASA trusted to lead the program back into space after the loss of Columbia. But her story is about so much more than the milestones. In this episode, Sarah Al-Ahmed sits down with Eileen Collins to discuss “Spacewoman,” a new documentary written and directed by Hannah Berryman, based on Collins' book “Through the Glass Ceiling to the Stars: The Story of the First American Woman to Command a Space Mission.” They talk about what drove her to keep pushing forward, the personal cost of pursuing an extraordinary career, and what it means to break barriers, not just for yourself, but for everyone who comes after you. Then, Bruce Betts, our Chief Scientist, joins us for What's Up to explore what distinguished pilots and commanders from mission specialists in the space shuttle era, and why that distinction was so critical to Eileen's path to the commander's seat. Discover more at: https://www.planetary.org/planetary-radio/2026-spacewomanSee omnystudio.com/listener for privacy information.

Keach Hagey recounts the January 2016 founding of OpenAI in San Francisco, initially established as a modest nonprofit research lab in Greg Brockman's apartment. Co-founded by Sam Altman, Brockman, and chief scientist Ilya Sutskever, the organization aimed to develop artificial general intelligence (AGI) safely outside of profit motives. Major initial backers included Elon Musk and Peter Thiel, who sought to create a counterweight to Google's DeepMind. The discussion explains how neural networks utilize Nvidia's GPUs—originally designed for video games—to mimic human thought, forming the technical foundation for the current AI race. (1/4)MARCH 1959