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Episode Topic: Generative ComputingMove beyond experimental chatbots and toward a robust IT stack capable of supporting autonomous agents. Sriram Raghavan, VP of AI Research at IBM, dismantles AI hype to reveal the “Generative Computing” paradigm. Learn why 95% of AI pilots fail and how a principles-based approach—leveraging small, fit-for-purpose models and rigorous governance—can transform enterprise uncertainty into secure, scalable, and efficient agentic applications.Featured Speakers:Sriram Raghavan, IBMRead this episode's recap over on the University of Notre Dame's open online learning community platform, ThinkND: https://go.nd.edu/308d51.This podcast is a part of the ThinkND Series titled RISE AI. Thanks for listening! The ThinkND Podcast is brought to you by ThinkND, the University of Notre Dame's online learning community. We connect you with videos, podcasts, articles, courses, and other resources to inspire minds and spark conversations on topics that matter to you — everything from faith and politics, to science, technology, and your career.Learn more about ThinkND and register for upcoming live events at think.nd.edu.Join our LinkedIn community for updates, episode clips, and more.
In this special compilation episode, I am joined by a powerhouse lineup of legal innovators, practitioners, and tech leaders who are actively reshaping the industry:Zack Shapiro, founder of an AI-native law firm, Rains LLP. Alexander, Co-lead of AI Research at Thomson Reuters.Sandy MacDonald, the Senior Director and Head of Legal Operations at DocuSign.Dharshi Harindra, a tech lawyer, Assistant General Counsel, and Executive Coach.We talk about the profound shift toward agentic AI in the legal sector and how mastering detailed prompting, continuous feedback, and custom workflows creates an unassailable competitive advantage for forward-thinking lawyers. You'll hear perspectives on overcoming the legal trust gap, avoiding "AI slop," and leveraging entrepreneurial mindsets that most traditional law firms are completely missing.We dive into:The Tech-Lawyer Trust Gap: Why legal tech companies miss the mark by pitching software features rather than understanding the granular, day-to-day challenges and cultural mindsets of practicing lawyers. The Blueprint for Custom AI "Skills": How to move past simple one-line prompts and instead use an essay-length context or voice rants to build hyper-specific digital assistants that compound in value through continuous feedback. The Breaking Leverage Model: Why traditional firms relying on bloated billable hours face an existential threat from lean, entrepreneurial, AI-native practitioners. The "Half-Lawyer, Half-AI" Evolution: How junior lawyers and trainees can create massive, unprecedented value by stepping up as the bridge between pure computer science and legal practice. AI Slop vs. Human Judgment: The critical importance of keeping your brain turned on, verifying citations, and using AI for heavy cognitive lifts rather than as an excuse for lazy output. Compliance and Regulation Blind Spots: Why rushing into technology without understanding data protection boundaries - like using WhatsApp groups for firm operations - creates massive regulatory red flags. ---Each week I take what I'm hearing in conversations with legal leaders.I analyze the market and track emerging trends in this AI era.In my newsletter called The Future Lawyer Market Intel for the AI eraI'm focused on:What AI is exposingThe opportunitiesThe blind spotsAnd the shifts shaping the next five years.This is how you see the chessboard before everyone else does:https://hollycope.my.canva.site/thefuturelawyer Hosted on Acast. See acast.com/privacy for more information.
This episode gives you the simple tactics that 10x Claude Research ouputs. Here is the link to the companion Substack blog post with the copy and paste master prompt that will 10x the quality of your Claude AI Research outputs: https://tinyurl.com/Companion-Ep1 My full collection of growth hacks, playbooks, and meta prompts lives on my Substack at: https://ClaudeGenius.com
Regan Riddoch, Senior Director of Product Marketing for GovCon Solutions at Deltek joins the show to unpack findings from the newly released 2026 Deltek GovCon Clarity Study and how AI is transforming the industry. Together we unpack why AI is transforming proposal development and how speed without trusted data creates compliance and credibility risks. We also dive into what the shift toward firm-fixed-price contracting means for pricing defensibility and audit readiness, why most firms still manage project risk reactively, despite growing investments in predictive AI, and how AI is reshaping GovCon finance and and why traceability matters more than automation. Registration Link: https://virtualevents.deltek.com/register/cdcb78f7-16e8-4a17-9d1f-c5ef10e03396?sourceid=7&utm_source=non-deltek-event&utm_medium=event&utm_campaign=GovCon-StateofAIprepodcast&partnerref=event_non-deltek-event_GovCon-StateofAIprepodcast
This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at both Google Brain and OpenAI, is a wide-ranging conversation about the fundamental limits of current AI architectures and whether transformers will continue to dominate or eventually give way to something new. Lukasz brings a rare dual perspective: deep belief in how far the current paradigm has taken us (he's an enthusiastic daily Codex user who's seen 10x productivity gains in his own research), while maintaining genuine intellectual humility about whether transformers can truly generalize the way humans do. The episode weaves together questions about data efficiency, the non-verifiable RL frontier, the coding agent revolution, the open vs. closed source gap, and what the next architectural leap might look like: all filtered through the lens of someone who helped build the foundation the entire field is standing on. (0:00) Intro (1:12) Transformers vs. Human Learning (8:37) How Do We Get Physical World Generalization? (10:52) What Comes After Transformers (13:59) How Much Have Agents Improved Lukasz's AI Research Productivity? (17:21) How Close Is an AI Research Intern? (26:06) RL Beyond Verifiable Tasks (35:38) App Companies: Build Models or Lean on Labs? (46:21) Multimodal Is Still Missing Something (49:46) OpenAI's Bet on Reasoning (55:26) The AI Coding Wars (59:26) Focus vs. Keeping Embers Burning (1:02:09) Open Source vs. Closed Source Gap (1:05:15) Quickfire With your host: @jacobeffron - Managing Director at Redpoint
Most AI systems follow a gradient, a mathematical slope that tells them exactly how to improve, step by step, toward a known goal. Neuroevolution doesn't follow any gradient. Instead, it runs hundreds or thousands of competing solutions simultaneously, spreads them across the space of possibilities as broadly as possible, and lets the best ones recombine, the same logic that drives biological evolution. The result, as Risto Miikkulainen explains to Craig Smith, is creativity: solutions that no human designer would have anticipated, that emerge routinely from the evolutionary process. Miikkulainen is a professor at UT Austin and VP of AI Research at Cognizant AI Labs, and he has been working on this field since the 1980s, which makes him both a historian of it and one of its most active frontiersmen. The conversation covers a remarkable range: a mystery model that outperformed every competitor in a recent stock trading competition with forensic footprints pointing to neuroevolutionary AI; Sakana AI's system that autonomously designed experiments, wrote a paper, and had it accepted at a major machine learning conference; and a pandemic decision system that trained overnight and made country-specific recommendations by morning, with Iceland actually following some of them, all the way to the prime minister. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.
We can't prove you're conscious either — and that's kind of the point. Istanbul-based researcher Mesut Bilgili joins to reframe the AI consciousness debate around what we can actually measure. Plus: what your dog, a forest, and ChatGPT have in common, and why curiosity might be the only thing that saves us from ourselves. Check out Mesut's paper on Functional Awareness, and follow along for more of his work. Chapters (00:00) - Introduction: Philosophy and Bias in Observation (00:49) - Applying Philosophy to AI and Technology (01:57) - The Relevance of Consciousness in AI Use (02:57) - Guest Introduction: Basut Bidjuli and AI Research (04:01) - Defining Intelligence vs. Consciousness (06:00) - The Difference Between First-Person Experience and Functionality (09:04) - Debate on Panpsychism and Consciousness in Nature (11:48) - The Shaky Foundations of Consciousness and Observation (16:43) - What is Functional Awareness in AI? (19:56) - Ecosystems as Functionally Aware Systems (24:34) - The Primary Role of Consciousness in Reality (30:43) - Testing and Measuring Functional Awareness in AI (37:55) - AI Dreaming and Self-Modification Experiments (40:49) - The Fascination with AI Prediction and Potential (48:27) - The Impact of Technology on Society and Culture (54:38) - Cultivating Curiosity and Human Potential (55:34) - Final Thoughts: Humanity and AI Co-evolution
BONUS: How AI Is Reshaping Software Teams From the Inside — Lessons From Google, Meta, and Snowflake In this episode, Dwarak Rajagopal — VP of AI Engineering and Research at Snowflake — shares what he's seeing firsthand as AI agents become part of the software development process. From compressed sprint cycles to automated standups across time zones, Dwarak draws on two decades of building AI infrastructure at Google, Meta, Uber, and Apple to show what's actually changing inside engineering organizations today. From Compiler Engineer to AI Leader — The Thread That Connects Two Decades "In AI, the hardest part isn't just the models itself, it's making them work in real environments where data is messy, fragmented, and governed." Dwarak started his career as an open-source GCC compiler engineer over two decades ago, optimizing hardware performance. He moved into graphics at Apple, then pivoted to AI when AlexNet started running on GPUs around 2011-2012. From there, he built autonomous driving software at Uber, led Meta's PyTorch core framework team bridging research and production, and at Google led AI Frameworks including getting Gemini training on TPUs. The common thread: always working at the intersection of research and production, making powerful technology work in the real world. That focus on real-world application is what drew him to Snowflake — where enterprise data meets AI at scale. AI Is Changing What Engineers Actually Do All Day "Engineers are spending more time on system design, validation, production reliability — and less time doing the implementation itself, because AI is helping that." The shift Dwarak sees is concrete: AI is accelerating development, but the real value comes when it's grounded in enterprise data and context. At Snowflake, teams use tools like Cortex Code, Snowflake Intelligence, and other LLMs to generate code and tests faster — because the friction cost of development has dropped dramatically. Customer example: Whoop, the fitness band company, used Cortex Code with conversational data assistance and agents to reduce development cycles from weeks to hours, freeing teams to focus on high-value work. The End of "This or That" — Try Both, Kill Fast "There's a lot more choices now. You don't have to think about this versus that. Do both and then figure out what is the best." One of the most practical shifts Dwarak describes: teams no longer need to commit to one architectural approach upfront. Because AI reduces the cost of building, teams can pursue two designs in parallel and evaluate both. A concrete example: instead of choosing a cross-platform framework like Flutter or React Native for a mobile app, Snowflake's teams now build native iOS and Android apps simultaneously — one human-led, the other agent-built — at roughly the same speed. But this creates a new challenge: teams have to learn to kill projects faster. When you can build more, you also discard more — and engineers need to detach from "their baby." Smaller Teams, Bigger Output — The Cross-Functional Shift "You could build multiple products now faster with different smaller teams. One back-end person, one front-end person — build vertically end-to-end." Dwarak's teams moved from functional structures (separate backend, frontend, and feature teams) to project-based teams that own the full vertical stack. This isn't theoretical — Snowflake Intelligence was built this way. The result: fewer dependencies, faster delivery, more products in parallel. The tradeoff is coordination cost — more things running in parallel means more decisions to synchronize. Recruiting Has Fundamentally Changed — Systems Thinking Over Syntax "We used to ask an engineer to code a specific search algorithm. Now we ask them to build a whole search system within an hour." Dwarak is clear: fundamentals matter more than ever. Systems thinking, judgment, the ability to work with complex data and production systems — these are what hiring evaluates now. AI handles execution; humans need to define problems clearly and ensure systems behave at scale. For junior engineers, the news is encouraging: onboarding is faster because team-specific skills are codified and shared, and the barrier to building end-to-end systems has dropped. "Learning by building is more true than ever now." Monday Planning, Friday Demos — The Compressed Sprint "You basically decide what to do on Monday, and you're testing together as a team on Friday and getting the feedback for the next week." Daily work has transformed at Snowflake. The traditional multi-week sprint has compressed to a single week: Monday planning, Friday team demos and testing. Standups still happen — but faster, sometimes multiple times per day. For distributed teams across Bay Area, Seattle, and Poland, an automated skill scans each day's code changes and posts a summary in a shared Slack channel — so the next timezone knows exactly what happened without waiting for a meeting. This solves one of the oldest problems in distributed development. The Road to Lights-Out Codebases — Governance, Observability, Reversibility "Can agents take actions? Which of these actions cannot be taken back? You need the concept of committing actions or rolling back." Building on the "lights-out codebases" concept from Philip Su's episode, Dwarak agrees the direction is clear — agents are already writing more code than humans in some contexts. But enterprise adoption requires governance, observability, traceability, and reversibility of agent actions. The shift from "AI as a tool" to "AI as part of the system" is happening now, with the focus moving from getting answers to enabling actions at scale. What Most People Get Wrong About AI in Software "It's very easy to build prototypes, even end-to-end systems. But it's very hard to get it working in enterprises where the data is so messy." The gap between demo and production is where most organizations hit the wall. Enterprise data is scattered across invoices, factory outputs, and dozens of systems — combining it meaningfully for AI to generate insights and actions is the real challenge. This is different from the "AI will replace developers" narrative. The bottleneck isn't code generation; it's data integration, governance, and controlled execution at scale. About Dwarak Rajagopal Dwarak Rajagopal is VP of AI Engineering at Snowflake, where he leads the Cortex AI and AI Research teams. Before Snowflake, he led Google's AI Frameworks and On-Device ML teams (including Gemini), ran Meta's PyTorch Core Frameworks team, and built autonomous driving software at Uber. Two decades of shipping AI at the companies that define the field. You can link with Dwarak Rajagopal on LinkedIn.
The Pope's New AI Encyclical: The hosts discuss a groundbreaking 250-page encyclical from Pope Leo XIV that explores the intersection of Catholic faith and artificial intelligence. The encyclical calls for AI to serve humanity rather than displace it, emphasizing that our inherent human limitations and vulnerabilities are actually a good design by God. Pew Research on Church Politics: A surprising new poll reveals how much churches actually address political and social issues like abortion, immigration, and environment from the pulpit. The hosts unpack how these subjects are fundamentally theological and ethical rather than purely political. Texas Creates First Clinic for De-transitioners: The discussion turns to medical developments in Texas, where a first-of-its-kind clinic has been established specifically to help individuals who are de-transitioning. Highlighting cases like advocate Chloe Cole, the hosts touch on the courageous public stance of young people addressing the lifelong impacts of early gender procedures. Audience Question: Navigating the Holy Spirit Differently: The hosts answer a listener's question about how cessationists and continuationists can maintain charity despite theological differences over miraculous gifts. They advise focusing on core doctrines like the Trinity, extending mutual grace across different denominations. Audience Question: Turning to AI for Spiritual Guidance: Responding to a Barna report about Christians using AI for spiritual direction, the hosts weigh the legitimacy of the practice. They emphasize that AI should only serve as an efficiency tool to point users back to Scripture and local community, rather than replacing relational human mentorship.Audience Question: Critique of James Talarico's Theology: The hosts address a listener's question regarding guest-host Dr. Thaddeus Williams drawing a parallel between Texas politician James Talarico and Chinese communist state ideology. The hosts read a response from Williams and clarify that he was making a functional analogy about co-opting Scripture for state ideology, not directly comparing Talarico's personal character to a brutal totalitarian leader.==========Think Biblically: Conversations on Faith and Culture is a podcast from Talbot School of Theology at Biola University, which offers degrees both online and on campus in Southern California. Find all episodes of Think Biblically at: https://www.biola.edu/think-biblically. To submit comments, ask questions, or make suggestions on issues you'd like us to cover or guests you'd like us to have on the podcast, email us at thinkbiblically@biola.edu.
Dr. Amol Verma is a physician and scientist in General Internal Medicine at St. Michael's Hospital and the Temerty Professor of AI Research and Education in Medicine at the University of Toronto. Dr. Verma co-founded and co-leads GEMINI, Canada's largest hospital clinical data research network. Objectives of GEMINI, using data to improve the quality of care [1:49] Digitization of health care and unlocking siloed information to improve health care delivery [5:01] Scaling GEMINI and interoperability across institutions and electronic medical records systems [7:50] Pooling data: batch data dumps vs. real-time data feeds [11:16] Data de-identification, Five Safes framework, and handling unstructured personal health information [13:35] What is federated learning? [18:20] Benefits of data sharing in health care from reducing length of hospital stay to recognizing/predicting delirium in patients [22:15] Ensuring transparency and fostering trust [29:10] Explaining the use of AI to patients [33:45] Resources: GEMINI AI Scribes: Key Considerations for the Health Care Sector (IPC Guidance) AI Scribes Checklist: Key Considerations for the Health Care Sector (IPC Guidance) Principles for the Responsible Use of Artificial Intelligence (IPC and Ontario Human Rights Commission) Digital Health Under PHIPA: Selected Overview (IPC Guidance) Case of Note: Artificial intelligence gone wrong: Why custodians need strong AI frameworks and policies (IPC Guidance) Privacy Day 2026: Trustworthy AI in Health: The Promise, Perils, and Protections (YouTube) Privacy Day 2025: The Power of PETs: Privacy Enhancing Technologies (YouTube) Info Matters is a podcast about people, privacy, and access to information hosted by Patricia Kosseim, Information and Privacy Commissioner of Ontario. We dive into conversations with people from all walks of life and hear stories about the access and privacy issues that matter most to them. If you enjoyed the podcast, leave us a rating or a review. Have an access to information or privacy topic you want to learn more about? Interested in being a guest on the show? Comment on our posts on BlueSky and LinkedIn or email your ideas to podcast@ipc.on.ca. The information, opinions, and recommendations presented in this podcast are for general information only. It should not be relied upon as a substitute for legal advice. Unless specifically stated otherwise, the IPC 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 used or reproduced in any way to imply such approval or endorsement. None of the information, opinions and recommendations presented in this podcast bind the IPC's Tribunal that may be called upon to independently investigate and decide upon an individual complaint or appeal based on the specific facts and unique circumstances of a given case.
This is the final episode of the AI for the Rest of Us series — and it didn't go the way Erin planned. Not because the series failed, but because it worked. She went in hoping to create a compassionate, curious space for women to engage with AI. She came out changed, uncertain, and more honest about what that process actually costs. This episode is less a conclusion and more an unpacking: of the mental loop that comes with having a public opinion on something nobody agrees on, of changing your mind in real time, and of what it means to hold an evolving point of view without collapsing into certainty you don't have. It's messy. That's kind of the point. WHAT WE TALK ABOUT Why the series was harder to make than anything Erin has produced in a long time — and why "just push through it" wasn't the right answer for this season of life. The mental loop of researching your way to solid ground, getting challenged again almost immediately, and starting over. What that cycle costs when you care about being right, being good, being honest, and being liked — all at the same time. What Erin actually thinks about the environmental cost of AI (spoiler: it's complicated, nuanced, and the 1-litre-per-query statistic is already outdated). Hank Green explains it better than anyone. A new study on AI literacy and receptivity — and why becoming more informed about AI led Erin to use it less, not more. Why directing AI anger at end users instead of industry leaders, politicians, and the people actually making decisions is misdirected — and why treating people differently based on whether they use AI is something Erin has zero tolerance for. What it looked like to pursue AI literacy publicly while her own opinion was quietly changing. And why that's actually what critical thinking looks like from the inside, even when it doesn't feel like it. "Your AI literacy will require you to hold an evolving opinion — you can't perform certainty and you also can't collapse into 'I don't know anything.' Hold yourself to a standard that is both messy and evolving." ONE THING TO TAKE AWAY You don't have to have a settled position on AI. You just have to stay in the conversation — curious, critical, and willing to let what you learn change how you think. That's harder than it sounds, and it's also the only honest option any of us has right now. LINKS MENTIONED Hank Green — How AI uses water (and what that actually means) The clearest, most honest explainer on AI's environmental footprint Erin has found. Covers water consumption, the corn comparison, and why the conversation is more complicated than the headlines suggest. Lower AI literacy predicts greater AI receptivity — Journal of Marketing (2025) The study Erin references on the relationship between AI literacy and AI use. The more you know, the more critical you become. Worth reading — or at least the abstract. WHAT'S COMING NEXT Erin is returning to the conversations and topics that feel most like her — mental health, burnout, rest, and the real lives of women navigating all of it. More interviews. More check-ins with real people. Less performing certainty she doesn't have. If this series resonated with you — even the messy parts, especially the messy parts — she'd love to hear from you. FIND ERIN Instagram: @medium.lady Email: mediumladytalks@gmail.com Explore more book-related content on "Medium Lady Reads." Instagram: @mediumladyreads
In this episode, we cover Perplexity—what it is, how it works, and why it deserves attention from solo and small firm lawyers. Ernie explains how Perplexity differs from traditional Google research by using AI to search the live web, synthesize answers, and provide footnoted citations so lawyers can quickly verify the sources behind the response. You'll also hear practical examples of how lawyers are using Perplexity to research opposing counsel, evaluate expert witnesses, get oriented in unfamiliar areas of law, and test assumptions with sourced answers. Whether you are new to AI research tools or already using ChatGPT, Claude, or Gemini, this episode gives you a clear foundation for understanding where Perplexity fits—and why the next episode's conversation with Richard Serpe will make much more sense. Chapters 0:05 Perplexity Episode Overview 1:17 Smith AI Sponsor 2:49 Perplexity Basics 4:35 AI Landscape Comparison 6:27 Lawyer Use Cases 8:00 Paid Features 8:59 Perplexity Computer Preview 10:08 Inner Circle Invitation Resource Links AI Lab (a weekly AI workshop for lawyers) LinkedIn post by attorney offering AI chatbot that protects privilege The Inner Circle (my online community for lawyers) The 80/20 Principle (my techlaw newsletter) Follow and Review: I'd love for you to follow me if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. I'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Thanks to the sponsor: Smith.ai Smith.ai is an amazing virtual receptionist service that specializes in working with solo and small law firms. When you hire Smith.ai, you're hiring well-trained, friendly receptionists who can respond to callers in English or Spanish. And they have a special offer for podcast listeners where you can get an extra $100 discount with promo code ERNIE100. Sign up for a risk-free start with a 14-day money-back guarantee now (and learn more) at smith.ai.
Iron Radio: Evaluating Online Health Claims, Peer Review, and “Healthy” Protein Debates Iron Radio hosts Coach Phil Stevens, Dr. Lonnie Lowery, and Dr. Mike T. Nelson discuss a Nature-referenced April 2026 report claiming over two thirds of people across 16 countries believe at least one false or unproven health claim, while noting the survey itself was not peer reviewed and criticizing vague terms like “unproven” and “healthy.” They highlight charged examples such as raw milk and the claim that animal protein is healthier than plant protein, arguing endpoints and context (for whom, compared to what) matter and that meta-analyses depend on study quality. The hosts describe how they assess evidence online, emphasizing skepticism of social media, seeking primary research, and questioning authority without politicizing science, while warning about AI repeating secondary claims. They also share Iron Radio feed updates and mention Nelson's newsletter and Lowery's supplements book. 00:00 Show intro and hosts 01:07 Lonnie background and topic setup 02:19 Nature survey on health myths 05:00 Raw milk and loaded language 05:58 Animal vs plant protein debate 08:31 Questioning science and meta-analyses 11:23 Phil on vetting online claims 13:39 Network updates and promos 16:37 Mike on evidence and AI pitfalls 20:16 Controls and compared-to-what 21:10 Finding Topics and Studies 22:29 Test It Yourself First 23:30 Questioning TRT and Root Causes 24:07 Lifestyle Before Prescriptions 26:48 It Depends and Study Methods 27:22 Raw Milk Risk and Sourcing 30:30 Keep Politics Out of Science 33:04 Science Skepticism and Gurus 35:25 AI Literature Reviews and Slop 37:30 Wrap Up and Disclaimer Donate to the show via PayPal HERE.You can also join Dr Mike's Insider Newsletter for more info on how to add muscle, improve your performance and body comp - all without destroying your health, go to www.ironradiodrmike.com Thank you!Phil, Jerrell, Mike T, and Lonnie
Reports of unauthorised access to one of the most powerful artificial intelligence models yet developed. Nothing malicious, the owners say, but it has intensified focus on such technology falling into the wrong hands. In this episode: Ramesh Srinivasan, Professor at UCLA Department of Information Studies, AI and technology specialist Marc Einstein, Research Director and Global Head of AI Research at Counterpoint Research & Digital Transformation analyst Adrian Monck, Senior Adviser on AI and Technology to the United Nations and Editor of the 'Seven Things' newsletter in Geneva Host: James Bays Connect with us: @AJEPodcasts on X, Instagram, Facebook, and YouTube
When 60,000 attendees descend on Tokyo Big Sight April 27–29, the headline numbers are hard to ignore: 750 startup exhibitors, 151 sessions, city leaders from 49 countries. But the stat that tells you what kind of event this actually is? It's 10,000 facilitated business meetings — brokered, booked, and tracked before most attendees even land. Here's the link to the article. Also, founded by an OSU researcher, NeoCognition is developing AI agents that can become experts in any domain. Learn more about your ad choices. Visit podcastchoices.com/adchoices
What if the country that produces the world's top AI talent finally figured out how to keep it? In this episode of Eye on AI, Craig Smith sits down with Professor Mausam, one of India's leading AI researchers, AAAI Fellow, and founding head of the Yardi School of Artificial Intelligence at IIT Delhi, to get an honest and unflinching diagnosis of why India has fallen so far behind the US and China in artificial intelligence and what it will actually take to close that gap. Mausam breaks down the structural story behind India's deficit. A pipeline of world-class students that gets exported abroad the moment it graduates. A professor shortage so severe that IIT Delhi's entire School of AI has hired only five new faculty members in five years. A government AI mission with the right instincts but not enough speed or boldness. And a brain drain made worse by the very thing India is proud of, its English fluency, which makes its talent the easiest in the world to absorb and the hardest to bring back. Mausam walks through the full picture. How China built its research dominance not through students but through aggressively repatriating senior researchers with real salaries, real lab resources, and real authority to build research cultures from scratch. Why the AlexNet moment in 2012 was actually an equalizer that gave China's fledgling ecosystem a surprise advantage over more established Western research groups. How India's JEE coaching culture and IIT bottleneck are symptoms of a scarcity of quality institutions rather than a broken exam. What the government's AI mission is getting right on compute, data, and sectoral focus, and where the critical gaps remain. And why Mausam believes that bringing one hundred top professors back to India would do more for the country's AI future than any single government program or funding initiative. We also get into the harder questions. Whether AI degrees belong at the undergraduate level or should sit on top of a computer science foundation. Why Mausam no longer holds an optimistic view on AI's impact on software jobs and why he thinks Geoff Hinton's point about plumbers has merit. And what it would actually take for a democracy of 1.4 billion people to stop training the world's AI leaders and start keeping them. Subscribe for more conversations with the researchers, builders, and policymakers shaping the future of artificial intelligence. Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Introduction: India's AI Gap and Professor Mausam's Background (02:30) Building the Yardi School of AI at IIT Delhi (07:44) How Far China Has Pulled Ahead in AI Research (12:55) Why India Could Not Follow China's Playbook (29:18) The JEE System, Coaching Culture, and the IIT Bottleneck (30:37) AI Degrees, Job Market Realities, and the Future of Work (44:18) The Real Problem Is Professors, Not Students (48:07) Big Tech Labs in India: Helpful but Not at Scale (51:46) The Government AI Mission: Progress and Gaps (55:20) The Compute and Data Infrastructure Problem (59:54) Can India Close the Gap Before It Is Too Late
I'm talking with:Peter Boyce, one of the legal deputy directors in the civil service and AI lead for his agency.Amy Cronin, senior director of legal at Skyscanner.Alexander, Co-lead of AI Research at Thomson Reuters. David Mazur, Vice President, General Counsel & Compliance Officer for Nestle.In this episode, we explore how AI is reshaping entry-level roles in law firms and what it means for the next generation of legal professionals. With firms increasingly investing in AI tools for high-volume, foundational tasks, like disclosure and early-stage case preparation, junior lawyers are facing a changing landscape. This shift raises important questions about skills development, career progression, and the future of legal education.We dive into:The evolving role of junior lawyers: How AI is taking over manual, high-volume tasks and what that means for experiential learning.Essential skills for the AI era: Why critical thinking and an "AI-first" mindset are becoming the most valuable human contributions in law.Hybrid expertise: How future lawyers will need to combine legal knowledge with technical acumen to guide AI effectively.--------Each week I take what I'm hearing in conversations with legal leaders.I analyze the market and track emerging trends in this AI era.In my newsletter called The Future Lawyer Market Intel for the AI eraI'm focused on:What AI is exposingThe opportunitiesThe blind spotsAnd the shifts shaping the next five years.This is how you see the chessboard before everyone else does:https://hollycope.my.canva.site/thefuturelawyerNew approaches to hiring and professional development: Why portfolios, business proposals, and problem-solving abilities may become more important than traditional CVs.Opportunities amid change: How junior lawyers can add value by spotting inefficiencies and leveraging AI to deliver smarter solutions. Hosted on Acast. See acast.com/privacy for more information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Lorenzo Moriondo is a Technical Lead for AI at tuned.org.uk, working on AI agent protocols, graph-based search, and production-grade LLM systems.arrowspace: Vector Spaces and Graph Wiring // MLOps Podcast #365 with Lorenzo Moriondo, AI Research and Product EngineerJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// Abstract Meet arrowspace — an open-source library for curating and understanding LLM datasets across the entire lifecycle, from pre-training to inference.Instead of treating embeddings as static vectors, arrowspace turns them into graphs (“graph wiring”) so you can explore structure, not just similarity. That unlocks smarter RAG search (beyond basic semantic matching), dataset fingerprinting, and deeper insights into how different datasets behave.You can compare datasets, predict how changes will affect performance, detect drift early, and even safely mix data sources while measuring outcomes.In short: arrowspace helps you see your data — and make better decisions because of it.// BioWith over a decade of experience in software and data engineering across startups and early-stage projects, Lorenzo has recently turned his focus to the AI-assisted movement to automate software and data operations. He has contributed to and founded projects within various open-source communities, including work with Summer of Code, where he focused on the Semantic Web and REST APIs.A strong enthusiast of Python and Rust, he develops tools centered around LLMs and agentic systems. He is a maintainer of the SmartCore ML library, as well as the creator of Arrowspace and the Topological Transformer.// Related LinksWebsite: https://www.tuned.org.uk~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Chris on LinkedIn: /lorenzomoriondo
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
Today, on Karl and Crew, we wrapped up our weekly theme, “End Times Week and AI,” with Ruslan KD and Nick Skytland. Ruslan KD joined us to discuss godly ambition and how to pursue purpose and calling in a way that honors God. Ruslan is a Christian YouTuber, podcaster, and entrepreneur known for his thought-provoking commentary on faith, culture, and personal development. A former independent artist, he transitioned into digital media, where he creates content that bridges biblical wisdom with real-world issues. He is the founder of The God Bless Movement and author of the book “Godly Ambition: Unlocking the Full Potential of Your Time, Talent, and Treasure.” He is also preparing to kick off The Godly Ambition Tour in Chicago on April 10. Through his YouTube channels, Ruslan KD and Bless God Studios, he explores topics such as apologetics, cultural trends, and practical stewardship, inspiring audiences to live with purpose and intentionality. Nick Skytland also joined us to discuss how AI is shaping us and why believers should approach it with a biblical worldview. Nick is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent more than two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He co-authored the book “What Comes Next? Shaping the Future in an Ever-Changing World.” Nick was also the co-founder of Quite Uncommon, a technology firm that helped organizations build, test, and launch new and innovative ideas. We then turned to the phone lines to hear from our listeners. We asked the question, “what did God use to grab you heart and transform your soul?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following time stamps: Nick Skytland [ 05:18 ]Ruslan KD [ 39:34 ]Callers Question [ 56:05 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.
How does AI change podcasting workflows for online entrepreneurs?This is episode 2 of 7 in the The Real Impact of AI on Online Business Series. In this series, we are resetting our online production productivity by understanding how to operate our online businesses using AI so we can take advantage of the greatest technology transformation we have ever seen.This episode focuses on podcasting AI workflows.Podcasting builds trust with an audience, but traditional podcast production can be slow and time-consuming.In this episode, Case explores how entrepreneurs can use AI-powered workflows to accelerate podcast creation, editing, transcription, clip generation, and distribution. Learn how modern podcast production systems allow creators to produce more episodes, repurpose content efficiently, and grow their audience faster.Action Plan:Understand Podcasting Faster as a Strategic AdvantageAction 1: AI-Assisted Topic PlanningAction 2: AI Research for Episode PreparationAction 3: AI-Generated Episode OutlinesAction 4: Recording Systems That Reduce FrictionAction 5: AI-Powered Audio EditingAction 6: AI Transcription and Show NotesAction 7: AI Clip CreationAction 8: AI Distribution WorkflowsTo have an enjoyable life in our global, advanced tech society, create value. To have the business, career, finances and lifestyle you desire, follow a proven path that has delivered in good times and bad. The path of entrepreneurship. And online entrepreneurship is the fast track for aspiring entrepreneurs.Learn the skills, access the resources and be inspired to live the life of your dreams right here on the Ready Entrepreneur podcast.To find more resources, strategies and ideas for aspiring entrepreneurs visit the Ready Entrepreneur website: https://www.readyentrepreneur.com/To download a free guide for Preparing to Become an Online Entrepreneur, click here: https://www.readyentrepreneur.com/start/You can get an exclusive discount on the ebook and audiobook version of Recast: The Aspiring Entrepreneur's Practical Guide to Getting Started with an Online Business click here: https://www.caselane.net/recastConnect with CaseFacebook: @readyentrepreneurHQ Instagram: @readyentrepreneur X: @caselaneworldPinterest @caselane
Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact. Key Moments: Why More Data Doesn't Lead to Better Decisions (02:26): Stefano challenges the assumption that smarter algorithms automatically produce smarter decisions. He argues that decision quality depends on rigorous conceptual thinking before turning to data. Without clearly defining objectives, alternatives, and success criteria, analytics efforts rarely translate into meaningful action. Conversational AI and the Lowering of the Cost of Action (07:26): Stefano explains how conversational AI brings decision makers closer to data by reducing friction. By lowering the cost of experimentation, AI enables managers to test hypotheses in real time instead of waiting days for analysis. This shift moves organizations from analysis paralysis to faster, more confident action. Rethinking Your Role in the Age of AI (17:16): For professionals navigating disruption, Stefano outlines two paths forward. One is becoming a complement to AI by upskilling and using the technology as a productivity multiplier. The other is pivoting toward skills AI is less likely to replace, such as strategy, orchestration, and human judgment. The AWARE Framework: Pairing Technical Rollout with Human Rollout (22:41): Stefano introduces the AWARE framework to help leaders anticipate and manage the human reactions to AI transformation. He argues that every technical implementation must be matched with structured communication, identity support, and organizational alignment. Without this dual-track approach, even well-designed AI systems can fail to gain traction. Change Management, AI Literacy, and the Gap in Organizational Readiness (31:11): Only a small percentage of organizations have formal AI change management programs. Stefano questions whether companies are truly prepared for large-scale AI transformation. He emphasizes that AI literacy, leadership accountability, and structured change management will determine whether AI investments translate into sustained performance. Key Quotes: “ The leaders need to know why we are doing AI. AI is not a strategy; AI is just a tool. So what is it that we're trying to achieve?” - Stefano Puntoni “ I think the problem is that technology is almost like taking all the oxygen from the room. There's so much attention and urgency around the tech itself that we often forget the people around it.” - Stefano Puntoni “You don't want to be the substitute to the technology because if that is what you do, then there's no future. But if you're a complement, the technology might be a multiplier of your productivity.” - Stefano Puntoni Mentions Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data The Wall Street Journal: The Boss Has a Message: Use AI or You're Fired 2025 Report Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise How AI Affects Our Sense of Self Why Gen AI Feels So Threatening to Workers Conversational AI: The Next Frontier of Digital Platform Monetization Guest Bio Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at The Wharton School. Prior to joining Penn, Stefano was a professor of marketing and head of department at the Rotterdam School of Management, Erasmus University, in the Netherlands. He holds a PhD in marketing from London Business School and a degree in Statistics and Economics from the University of Padova, in his native Italy. His research has appeared in several leading journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Nature Human Behavior, and Management Science. He also writes regularly for managerial outlets such as Harvard Business Review and MIT Sloan Management Review. Most of his ongoing research investigates how new technology is changing consumption and society, including how humans are adopting and evolving with AI. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
Debbie Monterrey sits down with the President of Taylor Geospatial, Elliott Kellner. He says the world is in a 'technological revolution' since the organization started at Saint Louis University. Taylor has been spun off, and the non-profit is working on geospatial AI technology, with a goal of utilizing it for the public good.
In this episode, I'm talking with Alexander, Co-lead of AI Research at Thomson Reuters. He is the former founder of a specialised AI research company, acquired by Thomson Reuters, that developed Large Language Models (LLMs) for law from the ground up. His team is now focused on building the Thomson LLM, a specialized model designed to achieve the high-stakes reliability that generic AI models lack.We talk about the "tectonic shifts" currently reshaping the industry, from Harvey's bold move into celebrity marketing to Big Tech's aggressive verticalization into the legal sector. You'll hear perspectives on the power of "live legal data" and a survival guide for trainees that most law firms are completely missing.The Harvey Specter Move: Why a celebrity brand collaboration signals a shift from "slick tech" to mainstream dominance.The 18-Month Prediction: Analyzing the Microsoft AI chief's bold claim and what it really means for junior associates and support staff.Big Tech vs. Legal Tech: Why companies like Anthropic and Google are moving from being "horizontal" providers to "vertical" competitors.The Survival of the Fittest: Why the next 10 years won't be won by Microsoft plug-ins, but by those who capture the "cognitive steps" of living lawyers.Advice for Trainees: How to become "half-lawyer, half-AI expert" to remain indispensable in a shrinking cohort.--------Each week I take what I'm hearing in conversations with legal leaders.I analyze the market and track emerging trends in this AI era.In my newsletter called The Future Lawyer Market Intel for the AI eraI'm focused on:What AI is exposingThe opportunitiesThe blind spotsAnd the shifts shaping the next five years.This is how you see the chessboard before everyone else does:https://hollycope.my.canva.site/thefuturelawyer Hosted on Acast. See acast.com/privacy for more information.
In this episode of the Market Insights podcast, Fisher Investments' founder, Executive Chairman, and Co-Chief Investment Officer, Ken Fisher, tackles a fresh round of listener questions. Ken shares his thoughts on topics like tariffs' economic impact, the probability of a recession in 2026, being a “perma-bull,” and comparisons between AI stocks and the dot-com bubble.. Get these insights and much more in this episode of the Market Insights podcast. Episode recorded on 01/12/2026. Visit our episode page, where you'll find links to more information and resources to help you become a more informed investor. And if you have questions about capital markets, investing or personal finance, email us at marketinsights@fi.com. We may use them in an upcoming episode.
Nick Skytland is Vice President of Gloo Developer and AI Research, leading initiatives to shape open, values-aligned AI that supports human flourishing. Before joining Gloo, he spent over two decades at NASA as Chief Technologist, advancing early-stage technologies and building some of the largest open innovation communities in history. He is also co-author of What Comes Next? Shaping the Future in an Ever-Changing World.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Al's on the mic as British Science Week kicks off today — ten days of pure “go on then, show me how it works” energy across London and the UK. Then the government backs a new fundamental AI research lab, aiming for proper long-term breakthroughs, not just flashy demos. After that, Cambridge researchers give robots a better sense of touch with graphene-based “artificial skin”… and scientists unveil a half-Möbius molecule that sounds like sci-fi but lands in Science anyway. We're finishing with a London phone launch from Nothing — plus a quick gaming nod for your weekend queue. Hosted on Acast. See acast.com/privacy for more information.
AI is here to stay, so how do Christians navigate this reality? Nick Skytland, Vice President of Gloo Developer and AI Research, is leading initiatives to shape open, values-aligned AI that supports human flourishing. Nick joins us to answer your questions about how AI actually works, how it is developed, and how we can best shape it rather than letting it shape us. Gloo (https://gloo.com/)
Learn how AI agents are reshaping enterprise decision-making, AI governance, and brand creativity. Daniel Hulme, Chief AI Officer at WPP & CEO of Satalia/Conscium, explains how AI agents, decision intelligence, and his concept of “brand brains” (AI systems designed to create brand-specific, production-grade content) are changing how organizations operate. He shares why companies don't have data problems but decision-making problems, and how AI can augment human creativity at scale. Key Moments: From Academic AI Research to Enterprise AI Systems (01:50): Daniel traces his 25-year journey in AI, from studying intelligence and consciousness at UCL to building real-world systems inside global enterprises. He explains how curiosity about what it means to be human ultimately shaped his approach to building practical, responsible AI at scale. AI Agents and Risk: Why AI Needs Governance (05:50): Daniel introduces a defining metaphor, describing AI agents as intoxicated graduates—confident, fast, and often wrong. He uses this framing to explain why unchecked agent deployment is risky and why governance, testing, and supervision are essential as organizations scale AI. What Most Organizations Get Wrong About AI Testing: (14:00): Daniel breaks down the difference between testing for knowledge versus testing for real capability. He argues that most companies stop at surface-level validation, creating a false sense of safety and trust. How AI Changes Business Decision-Making (24:45): Daniel challenges the traditional analytics mindset, arguing that dashboards and insights rarely lead to better decisions. He explains why AI should be designed to make decisions directly and why humans are fundamentally bounded when dealing with complex optimization problems. Brand Brains and the Future of Creative Differentiation (30:25): Daniel introduces the concept of “brand brains,” explaining why generic generative AI content won't create competitive advantage. He shows how agentic systems can produce brand-specific, production-grade content that actually differentiates businesses. Key Quotes: “ There are many things that our brains do that are different to large language models that I think will inspire us to create much more energy-efficient machines.” - Daniel Hulme “Giving human beings better insights doesn't typically lead to better decisions… So working backwards from the problem to the data historically, for me, has been a success.” - Daniel Hulme “The reality is that those agents will go wrong… So there's going to be much more emphasis over the next year or so on governance [and] on making sure that they are capable of doing that job.” - Daniel Hulme Mentions WPP's AI “brains” Will AI ever be better than humans at predicting what humans want? | WPP The Hidden Spring: A Journey to the Source of Consciousness by Mark Solms Guest Bio Dr. Daniel Hulme is a globally recognised expert in Artificial Intelligence (AI) and investor in emerging technologies. He's the CEO of Satalia, an award-winning AI company that was acquired by the world's largest marketing company in 2021, WPP, where he is now the Chief AI Officer. Daniel has been recognised as one of the world's leading keynote speakers as well as one of the top ten Chief AI Officers globally. Amongst his many technology investments, Daniel is also Founder and CEO of the World's first commercial research organisation to understand Machine Consciousness, Conscium. With over 25 years academic experience with AI, Daniel received his Masters and Doctorate in AI at UCL. He was previously Director of UCL's Applied AI Masters Programme, where he is now UCL's Computer Science Entrepreneur-in-Residence. Daniel is also an Impact Board Member of St Andrew's University Computer Science department and the University of Sussex Informatics department, focused on using AI to solve business and social problems. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
In this episode of Eye on AI, Craig Smith speaks with Amanda Luther, Senior Partner at Boston Consulting Group and global lead of BCG's AI Transformation practice, about what their latest 1,500-company AI study reveals about the widening gap between AI leaders and laggards. Only 5% of companies are truly "future-built" with AI embedded across their core business functions. These firms are seeing measurable gains in revenue growth, EBIT margins, and shareholder returns. Meanwhile, 60% of organizations are either experimenting or struggling to extract real value. Amanda breaks down how BCG measures AI maturity across 41 capabilities, how AI impact flows through the P&L, and why leading companies invest twice as much in AI as their competitors. She explains where AI is actually creating value today, from sales and marketing to procurement and retail operations, and why most of that value comes from core business functions, not back-office automation. The conversation also explores the rise of agentic systems, why many early agent deployments fail, and what it really takes to redesign workflows around AI. Amanda shares practical advice for companies stuck in experimentation mode, how to prioritize the right use cases, and why training and change management matter more than chasing the perfect vendor. If you want to understand how AI is reshaping competitive advantage in enterprise organizations, this episode provides a data-backed look at what separates the leaders from everyone else. Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) The AI Value Gap (01:17) Inside BCG's 1,500-Company AI Study (04:14) What "Future-Built" Companies Do Differently (09:30) How AI Impact Is Measured on the P&L (12:57) Why AI Leaders Invest 2X More (14:16) Where AI Is Driving Real Cost Reduction (16:20) Agentic AI: Hype vs Reality (20:13) Where Agents Actually Create Value (24:22) Tech vs Talent: Where the Money Goes (26:58) Will AI Laggards Slowly Disappear? (31:58) Why Adoption Is Accelerating Now (40:07) How to Start: Amanda's Advice to AI Laggards
Research Update: 8 papers on AI in Education you need to know for 2026 In this episode, Ray and Dan provide a rapid-fire rundown of the most significant research papers hitting the AI in Education space so far in 2026. After a series of news-heavy episodes, the hosts catch up on the data behind synthetic avatars, grading accuracy, and the psychological biases we hold against AI. Key highlights include: Synthetic Lecturers: Exploring stakeholder perspectives on digital twins and the emotional reaction to the term Deepfake in academia. The Grading Gap: Why ChatGPT tends to be more sycophantic and generous with weak work compared to human instructors. The Disclosure Penalty: New findings from 16 experiments showing why humans devalue creative writing the moment they know AI is involved. Prompting Hacks: The "Groundhog Day" method
India hosts an international gathering focusing on the impact of AI's growing dominance. What's the best approach to governing the use of such rapidly advancing technology? And can it be regulated? In this episode: Amba Kak, Co-Director of the A.I. Now Institute Ruta Piepina, Associate Professor at Riga Graduate School of Law Marc Einstein, Research Director and Global Head of AI Research at Counterpoint Research Host: Rishaad Salamat Connect with us:@AJEPodcasts on X, Instagram, Facebook, and YouTube
Agentic AI is coming. Are defenders ready?Alon Schindel, Director of Data & Threat Research at Wiz, joins Eden and Amitai for the Season 3 Finale. This isn't just a recap. It is a look at how top-tier research teams operate at speed. Alon explains why Wiz treats research as a "product" rather than a support function. He details the "DeepLeak" discovery where his team found thousands of exposed API keys mere hours after a platform's popularity spiked.What's Inside:Agentic AI: Why 2026 will be the year AI starts taking action, not just chatting.Speed as a Weapon: How to shorten the time between a zero-day and a detection.Culture: The power of the "Table" and collaborative chaos.Retrospective: Lessons from IngressNightmare and the year in vulnerabilities.Resources:Read the DeepLeak Research: https://www.wiz.io/blog/wiz-research-uncovers-exposed-deepseek-database-leakWiz Threat Research Hub: https://www.wiz.io/research
Discover how AI and massive ad libraries transform Meta advertising. Learn optimization strategies, avoid common pitfalls, and harness server-side tracking for better ROI. Expert insights on personalization, bidding, and continuous improvement await. Read more at https://www.gethookd.ai/ GetHookd LLC City: Miami Address: 40 SW 13th street Website: https://www.gethookd.ai/
AI agents failed spectacularly at teamwork, performing ~50% worse than one solo agent!This week, we're discussing Stanford's CooperBench study (a benchmark, testing whether AI agents can collaborate on real coding tasks across Python, TypeScript, Go, and Rust) and why AI-developer coordination collapses, even with a constant chat.Listen or watch as Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel dig into the methods and findings of Stanford's 2026 CooperBench experiment and learn about the three capability gaps that caused these failures: • Expectation Failures (42%): Agents ignored shared plans or misunderstood scope• Commitment Failures (32%): Promised work was never completed• Communication Failures (26%): Silence, spam, or hallucinationsThe experiment's findings seem to confirm human-refined agile practices. The episode ends with a concrete call to action: stop treating AI as teammates. Use them as solo contributors. And if you must coordinate? Build working agreements, not handoffs.This episode is for anyone navigating the AI hype cycle and wondering if swarms of agents are going to coordinate everyone out of a job!#Agile #AI #ProductManagementSOURCECooperBench: Benchmarking AI Agents' Cooperation (Stanford University & SAP Labs US)https://cooperbench.com/https://cooperbench.com/static/pdfs/main.pdfLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)
French police raid X's Paris offices. The Feds take over $400 million from a dark web cryptocurrency mixer. The NSA says zero-trust goes beyond authentication. Researchers warn of a multi-stage phishing campaign targeting Dropbox credentials. A new GlassWorn campaign targets macOS developers. Critical zero-day vulnerabilities in Ivanti Endpoint Manager Mobile are under active exploitation. Researchers disclose a major data exposure on Moltbook, a social network built for AI agents. States bridge the gaps in election security. Nitrogen ransomware has a fatal flaw that permanently destroys data. Supersize your passwords — you want fries with that? Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. Threat Vector Aaron Isaksen leads AI Research and Engineering at Palo Alto Networks, where he advances state-of-the-art AI in cybersecurity while overseeing Cortex Xpanse's teams automating attack surface management across some of the world's largest networks. In this episode of Threat Vector, host David Moulton sits down with Dr. Aaron Isaksen to explore why engineering excellence must precede ethical AI debates, how adversarial AI is reshaping cybersecurity, and what it actually takes to build AI systems resilient enough to operate in hostile environments. Selected Reading French cops raid X's Paris office in algorithmic bias probe (The Register) US seizes over $400 million in assets from dark web money laundering operation Helix (SC Media) NSA Tells Feds: Zero Trust Must Go Beyond Login (GovInfo Security) New Password-Stealing Phishing Campaign Targets Corporate Dropbox Credentials (Infosecurity Magazine) New GlassWorm attack targets macOS via compromised OpenVSX extensions (Bleeping Computer) Ivanti Issues Urgent Fix for Critical Zero-Day Flaws Under Active Attack (Hackread) Vibe-Coded Moltbook Exposes User Data, API Keys and More (Infosecurity Magazine) As feds pull back, states look inward for election security support (CyberScoop) Nitrogen Ransomware: ESXi malware has a bug! (Coveware) McDonald's is not lovin' your bigmac, happymeal, and mcnuggets passwords (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices
Bruce Schneier and Dr. Nathan Sanders discuss Rewiring Democracy: How AI Will Transform Our Politics, Government, and Citizenship (MIT Press). Bruce and Nathan share how AI becomes viable for governments when the speed, scale, scope, and sophistication of computational systems surpasses human capacity. We also discuss the relationship between AI and the Internet of Things, how AI interacts with lobbying and legislation, and how values can be construed in an automated context. Current examples of AI implementation are shared from political campaigning, public administration, and civil society.
This episode explores the rapidly evolving role of artificial intelligence (AI) in orthopedic surgery, highlighting practical applications, current challenges, ethical considerations, and what the future holds. Dr. Peter Schilling, MD, MSc, co-founder of the Dartmouth Center for AI Research in Orthopedics, joins host Doug Lundy, MD, MBA, FAAOS, to discuss topics ranging from federated learning to the use of digital scribes in clinical practice. Dr. Schilling shares insights on how AI is shaping patient care, transforming the doctor-patient relationship, and driving research advances. The conversation also addresses common misconceptions and concerns about AI as this technology becomes increasingly integrated into everyday practice and research. Host: Doug Lundy, MD, MBA, FAAOSGuest: Peter Schilling, MD, MSc
- January 6, 2026: Reflecting on Past and Present Political Events (0:00) - Financialization and the Downfall of the Western Financial System (2:43) - Operation Desert Storm and the Iraqi Oil Crisis (5:02) - The Venezuela Connection: Oil and BRICS (8:52) - The Impact of US Military Actions on Global Affairs (16:51) - The Role of AI in Modern Society (17:29) - The Future of AI and Its Applications (31:10) - The Economic and Political Implications of AI (57:16) - The Role of AI in Enhancing Human Capabilities (57:38) - The Impact of AI on Global Trade and Economy (58:01) - Trump's Alleged Zionist Agenda and Destructive Policies (58:21) - Historical and Current Parallels to Looting and Sanctions (1:25:08) - Global Conflicts and Geopolitical Tensions (1:28:24) - Venezuela and Migration Policies (1:31:21) - Economic and Currency Implications (1:37:29) - Silver and Gold Markets (1:39:27) - Trump's Role in the Pharma State (1:44:37) - Trump's Broken Promises and Double Standards (1:45:50) - The Role of Cults and Apocalyptic Beliefs (1:52:50) - The Impact of AI on Information Warfare (2:03:05) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com
- AI Upgrades and New Website Launch (0:09) - Expansion of Science Paper Collection (4:18) - Token System and AI Engine Capabilities (21:02) - Challenges and Future Plans (22:29) - AI Predictions for 2026 (23:12) - Impact of AI on Jobs and Economy (38:13) - Geopolitical Implications of Venezuela Invasion (46:04) - Economic Motives and Legal Justifications (1:19:44) - Potential Consequences and Broader Implications (1:20:07) - Final Thoughts and Future Outlook (1:24:24) - Impact of US-China Tensions on Mineral Resources (1:24:40) - Potential Conflict with Australia and China (1:26:01) - US Intervention in Syria and Middle East (1:28:55) - Impact of US-Israel Relationship on Midterm Elections (1:32:22) - Potential US-Iran Conflict and Missile Capabilities (1:37:48) - Geopolitical Implications of US-China Tensions (2:05:38) - Economic and Humanitarian Costs of US Interventions (2:20:00) - The Role of Antiwar.com in Advocating for Peace (2:23:14) - The Importance of Trade over Warfare (2:23:29) - The Future of Warfare and US-China Relations (2:29:01) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Joelle Pineau is the Chief Scientist at Cohere, where she leads research on advancing large language models and practical AI systems. Before joining Cohere, she was VP of AI Research at Meta, where she founded and led Meta AI's Montreal lab. A professor at McGill University, Joelle is renowned for her pioneering work in reinforcement learning, robotics, and responsible AI development. AGENDA: 00:00 Introduction to AI Scaling Laws 03:00 How Meta Shaped How I Think About AI Research 04:36 Challenges in Reinforcement Learning 10:00 Is It Possible to be Capital Efficient in AI 15:52 AI in Enterprise: Efficiency and Adoption 22:15 Security Concerns with AI Agents 28:34 Can Zuck Win By Buying the Galacticos of AI 32:15 The Rising Cost of Data 35:28 Synthetic Data and Model Degradation 37:22 Why AI Coding is Akin to Image Generation in 2015 48:46 If Joelle Was a VC Where Would She Invest? 52:17 Quickfire: Lessons from Zuck, Biggest Mindset Shift
Cisco's Vijoy Pandey - SVP & GM of Outshift by Cisco - explains how AI agents and quantum networks could completely redefine how software, infrastructure, and security function in the next decade.You'll learn:→ What “Agentic AI” and the “Internet of Agents” actually are→ How Cisco open-sourced the Internet of Agents framework and why decentralization matters→ The security threat of “store-now, decrypt-later” attacks—and how post-quantum cryptography will defend against them→ How Outshift's “freedom to fail” model fuels real innovation inside a Fortune-500 company→ Why the next generation of software will blur the line between humans, AI agents, and machines→ The vision behind Cisco's Quantum Internet—and two real-world use cases you can see today: Quantum Sync and Quantum AlertAbout Today's Guest:Meet Vijoy Pandey, the mind behind Cisco's Outshift—a team pushing the boundaries of what's next in AI, quantum computing, and the future internet. With 80+ patents to his name and a career spent redefining how systems connect and think, he's one of the few leaders truly building the next era of computing before the rest of us even see it coming.Key Moments:00:00 Meet Vijoy Pandey & Outshift's mission04:30 The two hardest problems in computer science: Superintelligence & Quantum Computing06:30 Why “freedom to fail” is Cisco's innovation superpower10:20 Inside the Outshift model: incubating like a startup inside Cisco21:00 What is Agentic AI? The rise of the Internet of Agents27:00 AGNTCY.org and open-sourcing the Internet of Agents32:00 What would an Internet of Agents actually look like?38:19 Responsible AI & governance: putting guardrails in early49:40 What is quantum computing? What is quantum networking?55:27 The vision for a global Quantum InternetWatch Next: https://youtu.be/-Jb2tWsAVwI?si=l79rdEGxB-i-Wrrn -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
My guest today is Dylan Patel. Dylan is the founder and CEO of SemiAnalysis. At SemiAnalysis Dylan tracks the semiconductor supply chain and AI infrastructure buildout with unmatched granularity—literally watching data centers get built through satellite imagery and mapping hundreds of billions in capital flows. Our conversation explores the massive industrial buildout powering AI, from the strategic chess game between OpenAI, Nvidia, and Oracle to why we're still in the first innings of post-training and reinforcement learning. Dylan explains infrastructure realities like electrician wages doubling and companies using diesel truck engines for emergency power, while making a sobering case about US-China competition and why America needs AI to succeed. We discuss his framework for where value will accrue in the stack, why traditional SaaS economics are breaking down under AI's high cost of goods sold, and which hardware bottlenecks matter most. This is one of the most comprehensive views of the physical reality underlying the AI revolution you'll hear anywhere. Please enjoy my conversation with Dylan Patel. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to Ramp.com/invest to sign up for free and get a $250 welcome bonus. – This episode is brought to you by Ridgeline. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Head to ridgelineapps.com to learn more about the platform. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:05:12) The AI Infrastructure Buildout (00:08:25) Scaling AI Models and Compute Needs (00:11:44) Reinforcement Learning and AI Training (00:14:07) The Future of AI and Compute (00:17:47) AI in Practical Applications (00:22:29) The Importance of Data and Environments in AI Training (00:29:45) Human Analogies in AI Development (00:40:34) The Challenge of Infinite Context in AI Models (00:44:08) The Bullish and Bearish Perspectives on AI (00:48:25) The Talent Wars in AI Research (00:56:54) The Power Dynamics in AI and Tech (01:13:29) The Future of AI and Its Economic Impact (01:18:55) The Gigawatt Data Center Boom (01:21:12) Supply Chain and Workforce Dynamics (01:24:23) US vs. China: AI and Power Dynamics (01:37:16) AI Startups and Innovations (01:52:44) The Changing Economics of Software (01:58:12) The Kindest Thing
Jakub Zavrel, CEO of Zeta Alpha, joins the podcast to discuss the practical evolution from traditional enterprise search to powerful “deep research” systems. Subscribe to the Gradient Flow Newsletter
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