Podcasts about Krishnan

Sriram Krishnan joins Theo Jaffee and Sofia Puccini just after concluding his tenure as Senior White House Policy Advisor on AI to discuss one of the biggest weeks yet for open-source AI. They unpack the rapid release of models including Kimi K3 and Qwen, why open models are putting pressure on frontier labs, and what it means for pricing, competition, and the future of AI infrastructure. They also discuss AI policy, distillation, cybersecurity, the role of open-weight models, whether the U.S. should respond to China's growing AI capabilities, and how governments and frontier labs should navigate the next phase of AI development.   Resources: Follow Sriram Krishnan on X: https://x.com/sriramk Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on X: https://x.com/schisofrenia 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.

So here's the thing. I know I talk a lot about reading. It's pretty important to me. But all week I've been trying to prepare a different podcast, one NOT about the uncrackable justification for choice reading. But recently I heard from several teachers over in CHSE about thriving reading programs they had going, only to get shut down by folks who felt like reading in class was a waste of time. And then I kind of ended up in a rabbit hole, as I am wont to do. It's like researching the justification for choice reading became my guilty pleasure, sucking up all my time. I listened to audiobooks on my walks, pored over research roundups and articles at the coffee shop, hit up the hammock with my Penny Kittle, and stared and stared and stared at the growing evidence mounting in my endless Google doc of notes. The evidence is clear. The need for help for kids who don't read, don't like reading, and don't want to read is great. And yet STILL we are prioritizing reading snippets and drilling for tests to "improve" our readers' reading. I want you to have the information you need to fight. So here I am. Again. Despite my efforts to focus on something else this week. Let's dig deep. Illustration for The Cycles I share in this episode: The Infographic I mentioned: Go Further:  Explore alllll the Episodes of The Spark Creativity Teacher Podcast. Launch your choice reading program with all my favorite tools and recs, and grab the free toolkit. Join our community, Creative High School English, on Facebook. Come hang out on Instagram.  Enjoying the podcast? Please consider sharing it with a friend, snagging a screenshot to share on the 'gram, or tapping those ⭐⭐⭐⭐⭐ to help others discover the show. Thank you!  Sources: Amato, Jarred. (2024). Just Read It. Corwin. Atwell, Nancie. (2007). The Reading Zone. Scholastic. Aukerman, M. & Schuldt, L. (2021). "What Matters Most? Toward a Robust and Socially Just Science of Reading." Reading Research Quarterly, 56(S1) pp. S85–S103 | doi:10.1002/rrq.40 Bains, A., Spaulding, C., Ricketts, J., & Krishnan, S. (2026). Providing choice enhances reading motivation. Quarterly Journal of Experimental Psychology (2006), 79(4), 959–970. https://doi.org/10.1177/17470218251370916 Bishop, Rudine Sims. "Mirrors, Windows, and Sliding Glass Doors." Perspectives: Choosing and Using Books for the Classroom. Vo. 6, No. 3, Summer 1990. https://scenicregional.org/wp-content/uploads/2017/08/Mirrors-Windows-and-Sliding-Glass-Doors.pdf Accessed November 2, 2025. Briceño, Allison and Claudia Rodriguez-Mojica. (2022). Conscious Classrooms. PD Essentials. Bridges, Lois. (2018). The Joy and Power of Reading: A Summary of Research and Expert Opinion. Scholastic. Chavez, Felicia. (2021) The Anti-Racist Writing Workshop. Haymarket Books. Elley, W. B. (2000). The Potential of Book Floods for Raising Literary Levels. International Review of Education, 46(3–4), 233–255. Gallagher, Kelly. (2009). Readicide: How Schools are Killing Reading and What You Can Do About It. Routledge. Kerkhoff, Shea. (2026). Adolescent Literacy: Integrating the Sciences of Reading and Writing in Grades 4-12. Bloomsbury Academic. Kittle, Penny. (2013). Book Love. Heinneman. Miller, Donalyn and Susan Kelley. (2013). Reading in the Wild: The Book Whisperer's Keys to Cultivating Lifelong Reading Habits. Jossey-Bass. Morgan, Denise N., & Wagner, Christopher W. (2013). "What's the Catch?" Journal of Adolescent & Adult Literacy, 56(8), 659–667 doi: 10.1002/JAAL.193 National Endowment for the Arts. (2007, November). To Read or Not to Read. O'Grady, R. J. (2025). The reading renaissance: Reimagining literacy practices in secondary English education. ENGLISH IN EDUCATION. https://doi.org/10.1080/04250494.2025.2567939 Wilhelm, J. D. (2016). Recognising the power of pleasure: What engaged adolescent readers get from their free-choice reading, and how teachers can leverage this for all. Australian Journal of Language & Literacy, 39(1), 30. Willingham, Daniel. (2021). Why Don't Kids Like School? Jossey-Bass. 2nd Ed. (Audiobook)  

Sanjeev Krishnan spent thirty years arriving at one conclusion: the clean economy's binding constraint isn't technology, it's capital structure. He watched brilliant technologies, brilliant people and brilliant visions get broken on the wheel of misaligned capital — not because the science failed, but because the financing never fit what they were trying to build.That gap is the heart of this episode of SRI360. His core belief is simple: the thing holding back the clean economy is not technology. It is capital structure. Get the financing right, and the building can follow.I'm joined by Sanjeev Krishnan, Co-Founder and Managing Partner of S2G Investments, a nearly $3 billion platform across eight funds, investing at the seams of food, energy, and ocean systems. S2G has backed more than 120 companies. Sanjeev has spent his whole career on one question: how do you change an economic system using markets?Sanjeev was born in Bangalore in pre-liberalization India and moved to Grosse Pointe, Michigan, at age nine — his first time ever on a plane. He studied development economics, transferred to the London School of Economics, and joined JPMorgan just in time to watch the dot-com boom collapse from the inside. His team in Europe went from 120 people to 15. He was one of the 15 who kept their job.What came next taught him how capital really works in the physical world: building mobile networks across Africa, cutting the cost of a Hepatitis B vaccine by roughly 80–90% at the World Bank's IFC, and five hard years inside “clean tech 1.0,” watching good companies fail for reasons that had nothing to do with their technology. In 2014, he co-founded S2G with Lukas Walton.Today Sanjeev invests at the seams — the gaps between asset classes and between sectors that most investors overlook. In this conversation we cover why capital structure is the real constraint, how he thinks about the wave of AI and energy demand, and why he is betting on the oceans, the part of the planet we have barely measured.In this episode we discuss:Why capital structure, not technology, is what really holds back the clean economyThe “missing middle” — too big for venture, too small for private equity, and where good companies get strandedWhat “investing at the seams” of food, energy, and ocean systems actually meansFit-for-purpose capital, and why biotech figured it out but climate has notThe five forces behind his “Age of Adaptation” thesisWhy he reframes climate as a 10,000-year economic megatrend, not a moral crusadeHis bet on the oceans, and the company measuring water almost no one else canFeatured guest:Sanjeev Krishnan, Co-Founder and Managing Partner at S2G InvestmentsListen Next:AgTech Profits Meet Planet: Where Climate Impact and VC Returns AlignDiscover More from SRI360°:Explore all episodes of the SRI360° PodcastSign up for the free weekly email updateKey Takeaways:Capital structure is the constraint, not technology. Across thirty years, Sanjeev watched good companies with real products fail because the money backing them was shaped wrong for what they were building.The missing middle is where good companies get stranded. A business with real revenue and real profits can still be too capital-intensive for venture and too small for private equity control. Venture wants a power law. These companies just grow steadily. So nobody funds them. In May, S2G closed a billion-dollar fund built for exactly this gap.Fit-for-purpose capital means matching the money to the reality. US biotech built a system that can take an unproven, clinical-stage company public and attract hundreds of millions. Climate has never built its equivalent. That, Sanjeev argues, is the real gap.Every great transition needed a financial invention first. The joint stock company made oceanic trade possible. Bond syndicates built the railroads. The venture partnership funded the microchip. In each case someone built the financial container before the future arrived.Impact does not have to be concessionary. At the IFC, his team helped cut the cost of a Hepatitis B vaccine by roughly 80–90% — from $2.50 a vial — while margins stayed above 60–70%. Cheaper, faster, better, and profitable at the same time.Invest at the seams. The best opportunities sit between asset classes and between sectors, where a typical energy investor would dismiss it and a food investor would call it something else — so nobody underwrites it.Climate is a 10,000-year economic megatrend, not a moral crusade. Humans take useful energy and turn it into useful materials — fire, agriculture, fossil fuels. And the next chapter will still be extractive: it needs copper, cobalt, nickel, lithium.Busts are where the returns are made. You learn more in the bust cycles than the boom cycles. Markets overshoot both ways, and the companies that survive get forced into product-market fit and a real P&L.The oceans are the least measured part of the planet. We know more about space. Sanjeev co-founded Apeiron Labs in 2022 to close a data gap between 6 and 200 meters — data that matters for weather, offshore wind, insurance, and defense.Additional ResourcesSanjeev Krishnan LinkedIn: https://www.linkedin.com/in/sanjeev-krishnan-0b1148/Sanjeev Krishnan at S2G: https://www.s2ginvestments.com/team/sanjeev-krishnanS2G Investments: https://www.s2ginvestments.com/S2G “Financing Reality” report: https://www.s2ginvestments.com/insights/report-financing-realityBuilders Vision: https://www.buildersvision.com/Connect with SRI360°:Sign up for the free weekly email update: https://sri360.com/newsletter/Visit the SRI360° PODCAST: https://sri360.com/podcast/Visit the SRI360° WEBSITE: https://sri360.com/Follow SRI360° on X: https://twitter.com/SRI360Growth/Follow SRI360° on FACEBOOK: https://www.facebook.com/SRI360Growth/

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

Freight rail moves 40% of long-distance goods in the U.S., but the industry's biggest challenge isn't infrastructure, it's intelligence. In this episode of The Peggy Smedley Show, host Peggy Smedley sits down with V. Krishnan, industry advisor for Microsoft manufacturing & mobility, to explore how AI agents and realtime decision tools are reshaping the future of rail. They discuss: Why railroads are drowning in data but struggling to act on it How CSX used AI to transform customer experience The Rumo case study: cutting lookup times from 4 minutes to 3 seconds Fuel optimization and how AI can cut costs 3–7% without new infrastructure Weather analytics, workforce challenges, and the retiring knowledge crisis Why the next 10% of performance won't come from more track — it'll come from smarter decisions Whether you're in logistics, supply chain, or enterprise tech, this conversation is a must-listen. https://aka.ms/RumorailAI https://aka.ms/CSXrailAI

Freight rail moves 40% of long-distance goods in the U.S., but the industry's biggest challenge isn't infrastructure, it's intelligence. In this episode of The Peggy Smedley Show, host Peggy Smedley sits down with V. Krishnan, industry advisor for Microsoft manufacturing & mobility, to explore how AI agents and realtime decision tools are reshaping the future of rail. They discuss: Why railroads are drowning in data but struggling to act on it How CSX used AI to transform customer experience The Rumo case study: cutting lookup times from 4 minutes to 3 seconds Fuel optimization and how AI can cut costs 3–7% without new infrastructure Weather analytics, workforce challenges, and the retiring knowledge crisis Why the next 10% of performance won't come from more track — it'll come from smarter decisions Whether you're in logistics, supply chain, or enterprise tech, this conversation is a must-listen. https://aka.ms/RumorailAI https://aka.ms/CSXrailAI

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  

https://youtu.be/b_G8krkwKv8 Ganesh Krishnan, CEO of AiHello, is helping Amazon sellers automate advertising, improve profitability, and scale their businesses using AI. Driven by a mission to give entrepreneurs more freedom and enable them to build businesses around products they love, Ganesh shares how AI can eliminate repetitive work while allowing business owners to focus on strategy, innovation, and growth. In this conversation, Ganesh introduces The AiHello Ads Framework: Tap into the Wisdom of Crowds, Find the Right Keywords, Bid at the Right Level, Dynamically Adjust Bids, and Rinse and Repeat. He explains how AI can leverage historical marketplace data to identify profitable keywords, optimize bids automatically, and continuously improve campaign performance. Ganesh also discusses the dangers of AI hallucinations, why Amazon's incentives differ from sellers' incentives, how AI has transformed his own company's operations, and his vision for building zero-hallucination AI systems capable of advancing toward artificial superintelligence. — Build AI Superintelligence with Ganesh Krishnan  Good day, dear listeners. Steve Preda here, and welcome Ganesh Krishnan, the CEO of AiHello, an Amazon Ads automation company helping you grow your revenues, reduce work hours spent on ads management, and decrease your ad costs. Welcome to the show, Ganesh.  Thank you, Steve. Nice to meet you  Well, it’s great to have you here, and let’s jump right in. And my first question is, what is your personal ‘Why,’ and how are you manifesting it in AiHello?  So it started off with my thesis that we all need to do good towards the planet. A long time ago, I started having my own natural things, selling chemical-free, ecological, sustainable, good-for-the-planet, good-for-your-wallet, good-for-your-health items, and I would sell organic items. And eventually, what I realized was that it was taking a lot of my time marketing, managing it, changing the bids, doing everything. I started working more and more on AI because I’ve worked in AI commercially. I worked in AI in my industry. That was my job. So I said, “Why not use, apply that to my own startup, to my own industry for selling organic things?” And once I started selling it, some of my friends reached out and said, “Can we use your AI for our own businesses?” And I said, “Sure, why not?”  And then I started opening it up. And then one person came through and said, “Okay, let’s release it to the general public, see how it goes.” And then as we started earning money, I realized that I don’t need to do a job. I can have this startup, and I can help different people have their own lifestyle. You could have your own lifestyle. You could sell your own stuff that you like, e-commerce, usually on Amazon, and then we help you have your lifestyle. So this is my personal ‘Why’, is we need more equality. We need more people doing stuff they love rather than doing stuff they hate to do, and they hate to wake up and go to work. So do what you love. We are here to empower you.  Wow, that’s amazing. So you are empowering people to start their own e-commerce businesses on Amazon, and you help them with AI tools to get up to speed and compete with the big boys.  That is correct.  Yeah. I love it. So on your LinkedIn profile, you mentioned that you are, I don’t know what the word was that you used, but something to do with superintelligence, AI superintelligence. So what is it that you are doing, and what is your vision of how AI superintelligence can be tapped into?  It’s a very long topic. But to start off with, we used the old form of AI, which is a lot of regression, a lot of statistics, a lot of big data learning, and a lot of neural networks, if you felt fancy. And then LLMs became a huge thing. And we launched AiHello probably six or seven years ago. LLMs became a big thing two or three years ago. And it was pretty fancy. It was very good. It made life easy for us. But we cannot use it within AiHello to give it to clients, primarily because LLMs start hallucinating once you go past a certain context. The problem with hallucination is that it exponentially becomes larger and larger. Because if the previous thesis is wrong, if your previous hypothesis is wrong, then it builds on top of it, and it builds the wrong things.  Hallucination exponentially becomes worse. And when it comes to finance, when it comes to ads, and when you’re working with sensitive data, this can be catastrophic. So you cannot use these large language models for finance, for situations where you need precise data, and especially when you have lots of context. It’s going to lose the context of the first part. Just because you mentioned something at the start of the conversation doesn’t mean it’s not important. It is critical. As humans, we understand what is the most critical part of a conversation, and then we keep that in mind. But LLMs, because of context limitations, just keep on going and start hallucinating.  So a few months ago, we came up with the idea that we could use something like a large language model, but not based on the transformer model. And we could base it on data so that there is almost zero hallucination. So instead of building weights, we build it based on data. And we launched this. We don’t use it on AiHello, but we decided to use it on an email service because we have a lot of emails. We process a lot of emails for clients. We process a lot of emails for specialists. So we could use the zero-hallucination approach within emails, and if it is successful, then we can put it into AiHello.  And we can, of course, release it as an API as well. So this is going to set the basis of artificial superintelligence because what is stopping us right now from reaching or breaching that wall of artificial superintelligence is this hallucination. And of course, there is also logic. LLMs are pretty stup*d. They don’t understand. You can teach them, they learn, but they do not question what you teach them. They always take it on blind faith.  Yeah. Wow. That is genius. I love it. You are going to un-hallucinate AI. And if it stops hallucinating, essentially it becomes a lot more powerful and scalable. AI becomes scalable, or this whole process becomes scalable. That’s fascinating. So your ‘Why’, your mission, is to empower all these people to run their businesses. Do you have a framework for this that you could describe in three to five steps? How do you get someone up and running with their own business on an e-commerce platform? Or do you have any other framework that you could share with the audience? Something simple that they may be able to benefit from? One of the caveats of using AI is that it needs a lot of data. So if you’re just starting out with your e-commerce business, you need to put more of your human intelligence, more of your gut instinct, more of your thoughts, and more of your emotions into building it out. And once you have built up enough data, then you can put it into AiHello and start automating it. So what I would say, if you’re starting an e-commerce business, is hire a specialist who can help you launch off the ground.  Do a bit of the hypothesis work, do a bit of the analysis, and then come to AiHello and start automating it. You can only start automating once you have a good idea of how things work for you. And finding how things work for you is something you need to do on your own. It’s like you can’t start running, or you can’t start driving a car, until you learn how to crawl and until you learn how to walk.  Okay. So basically, it’s the age-old innovation thing that you have to innovate something on your own, and then you can scale it with AI. That is correct.  Yeah. So let’s say I came up with some kind of formula, concept, or product that is currently not being promoted, and I believe it would work. Or maybe I’ve already tested it and I want to scale it. I want to get on Amazon and sell it there. What can you do for me? What are the steps for me to be successful with AiHello’s help? So the first thing when you select a product, is: what are the keywords for it? What keywords do you use for that product? The second would be: what are the bids for that product? For each keyword, what is the right bid to put up? And then you have other things like budgeting. Do you change the bid depending on the time of day? Do you change the bid in total? Those are the things that you need to keep adjusting continuously.  With AiHello, we automatically harvest the right keywords for your product. We change the bid. We optimize the bid. We also do dayparting, where you can change the bid depending on the time of day. So there are different things that you can use AI for. You could certainly do all of it manually, but it’ll probably take you days or weeks to do what AI can do in a couple of minutes.  So a couple of minutes. But doesn’t the AI also need traffic data to be able to define things?  Yeah. So one of the other things about AiHello is that, because we have the wisdom of crowds, if you come up with a keyword, we know exactly how that keyword is going to perform. As you say, you have the wisdom of crowds. Can you extrapolate what you’ve experienced with other products and other customers onto a new product that doesn’t yet have a lot of traffic? Is this what you mean by the wisdom of crowds? Or what do you mean by the wisdom of crowds?  Let me give you an example. Let’s assume you want to sell coffee, and you go to our platform and say, “This is my product. It’s coffee. Help me sell it.” So what we do is, we know this is coffee. What are the keywords around it that are going to help sell it? Because we’ve sold other coffee products, we know that organic coffee sells well. We know coffee in the morning sells well. Black coffee sells well. Caffeine sells well.  And we also know, based on the previous performance of other keywords, what a good bid is for each keyword. If you don’t know the keywords, then of course you have to spend time researching them. And if you don’t know the bids, then you have to spend time researching what bid to put in. But we do all the research for you, and you put it in. And the second part, the bigger part, is that if the bid doesn’t work out, if you’re not selling, then we increase the bid automatically. If you are losing money, then we decrease the bid automatically. So that bid optimization is a critical part of AiHello.  Yeah. We use Amazon ads to promote my books. And yes, it takes a lot of skill to find the keywords, eliminate the negative keywords, adjust the bids, have the right bids, and avoid overspending or underspending. But Amazon also does much of the machine learning. So what is it that Amazon does, and what is it that you have to do? And why doesn’t Amazon do what you have to do?  The most critical piece of information to keep in mind is that your aims and objectives are the opposite of Amazon’s aims and objectives. Amazon’s aim is to make money, and your job is to make money. You don’t care if Amazon makes money or not, and Amazon doesn’t care if you make money or not. So when you put up a bid, when you run ads, Amazon will maximize that ad spend, whatever it is. In some ways, it’s like a casino.  You go to a casino, and the job of the casino is to win money from you, and your job is to win money from the casino. Ads have become a lot like gambling nowadays. You throw money into it. You expect to make money. Ninety percent of people lose money, and they give up. And Amazon always finds fresh sellers to move on. You cannot depend on Amazon because Amazon is not on your side.  Yeah, that makes perfect sense. Yeah, I always thought that on some platforms it was really difficult to make money with ads. Facebook, I think, is so competitive that it’s probably very difficult to make money. I know a lot of people who have spent a lot of money on Facebook, but I don’t know very many who have figured out a formula that continues to work. Okay. So you’ve helped someone find their keywords, the right bids, and how to adjust those bids. But what we’ve found is that at some point, ads die, and then we have to switch things up. It actually happens quite frequently that you have to create new campaigns and new ads. So what’s the dynamic there? How do you optimize so that you’re not still supporting ads that don’t work anymore, and you switch at the right point?  So when we say ads, it’s not technically the campaigns. A campaign is just a container for all of your ads. You have products inside it, and you have keywords inside it. So a campaign is made up of products and keywords. And the question is, when you say ads die, did the keywords die? Then you need to add new keywords, right? You always have to keep adding new keywords and testing new keywords. It’s a continuous job of trying to find the right keywords for your book or your product, and then optimizing the bids constantly to make sure that you’re profitable.  You have to make sure that your ads don’t die because of a lack of fresh keywords. And of course, there’s always a limit to the number of keywords you can add because each product has a limited number of keywords that people are searching for. Maybe there’s a long-tail keyword that’s going to make money, but there’s not enough search volume. Or maybe there’s a high-volume search keyword, but it’s not profitable for you. So you have to figure out what the right strategy is for you. Eventually, if your product is good, you’ll make money. If your product is not good, you won’t make money. That’s the bottom line. With ads, you quickly find out if your product…  So essentially, it’s a cyclical thing. So you find the keywords, you figure out the right bids, you adjust the bids, and then you have to find new keywords and keep doing this.  Yeah.  So why do keywords go stale? Do people not search for certain things anymore?  There could be multiple reasons for it. One reason is that a competitor has come in and taken your search volume. And you have to know: are you losing search volume? Are you gaining search volume? Has your search volume dropped off? The second reason is that people are not searching for that keyword anymore. Is it out of fashion? The third is: are you underbidding? Is the bid too low? Again, you would know by the number of impressions. Have the impressions dropped off?  If the impressions have dropped off, is it because of a competitor? If it’s not because of a competitor, are people searching less? Are your bids too low? If the search volume is the same, are people clicking less? Why are they clicking less? Is it your images? Is it your product? Is your product no longer in fashion? I mean, I don’t know. Maybe a few months ago, fidget spinners were really in fashion, and nowadays no one uses them. So those things go out of fashion.  Yeah. The spinners, I remember. They’ve been out of fashion for a while.  Yeah.  Yeah, that’s fascinating. So it’s a never-ending cycle of innovation and figuring out what works and what doesn’t work. So let me ask you this: What drives growth in your business?  Most of the growth is… There are different ways to put it. Four years ago, we used to create a lot of blogs. We used to create lots of content. We used to create lots of YouTube videos. And then ChatGPT came along. If you ask kids now, “Do you Google that?” They don’t know what Google is. They really don’t know what Google is. And that’s not a cliché. It’s surprising. They’ll be like, “What Google?” Everything goes through ChatGPT.  So for us, growth went from Google to ChatGPT. And we didn’t spend enough time optimizing for LLMs on our site. So what drove growth before was blogs and YouTube. And what drives growth now is large language models like ChatGPT and Claude. People just ask ChatGPT, “What do I do about this on Amazon?” It recommends solutions, and then we go through them.  So how do you leverage large language models or AI applications?  This was one of the biggest boosts to our company. We managed to set the processes right. We managed to create the templates. We managed to bring structure to our company. Development work has become ten times faster. The turnaround is ten times faster. We’re able to release features quickly. We’re able to find bugs in our existing code quickly. There are a lot of things going on. If I were to say that our company is no longer the same company it was even a year ago, that would not be an exaggeration. It would be the truth. What we were a year ago is not at all what we are right now.  So in what way did you change? Is it coding that accelerated and changed everything? I mean, in what other ways did you change as a company?  So the code is all done with AI first. Our developers use AI. They put in the prompt, they check the results. There is a second developer who checks whether everything is okay and whether everything is done. And then finally there’s QA, and then we push it to staging. We used to do roughly one-month or forty-five-day sprints. Now we do weekly sprints. So it has gone four times faster. The biggest hurdle for us was managing clients and how we manage them. We never had any structure.  So we talked a lot with ChatGPT. We talked a lot about what the right way was to bring structure and accountability into the system. We managed to set up all the software required for accountability. It helped us fix those issues. It created structure. It created accountability for all the people, and then we implemented that. Finally, the last one, which was the most debatable, is that we require a lot of content. We require a lot of graphics. We require a lot of videos for clients on Amazon. I actually went to buy something on Amazon a few days back, and what was puzzling was that when I zoomed in on the images, you could see they were AI-generated because they all had these silly AI mistakes—spelling mistakes, random words.  So almost everything on Amazon right now, all the images, are kind of AI-generated. It’s hard to blame them. We ourselves use AI for a lot of the images. We make sure we don’t have the silly mistakes, but we do use AI as well. So the turnaround time for graphics is faster because of AI as well. Though some clients do complain that they don’t like AI-generated assets. And if a person looks a bit too AI-generated, they just reject it outright. So that is the most debatable part of it. But overall, our company is called AiHello. It’s AiHello. And if we don’t say hello to AI, then we’re not AiHello.  Yeah. Love it. I love the head and the one arm.  Yes.  The hello, and that’s it.  Yeah.  So what is one thing that you’re actively trying to figure out in your business right now? We are a remote-first company, and I’m struggling to bring about accountability among all the team members. We do have a good number of employees. Ninety percent of our employees are good. Ten percent still have accountability issues. And for me, that is a bit of a hurdle. It is a bit of a challenge to push those people who are dragging their feet about AI. Yeah. Because they are not comfortable with AI. They want to do what they are good at and don’t want to do something new.  There is also a bit of hesitation that they might lose their jobs because of AI, although we’re not planning to let go of anyone. Rather, we are hiring more people because we’re able to grow faster. There is an old saying that companies won’t go extinct because of AI, but companies that don’t use AI will go extinct because of AI. Because we are using AI a lot, there is a chance for us to scale, for us to expand significantly. And I want to tap into this advantage and grow. I want to hire more people, and I want to grow. I don’t want to let people go.  So this is a very good opportunity. You hear about Coinbase letting people go. You hear about Facebook letting people go because of AI. And I think those are all nonsensical excuses. Those companies are not growing very well, and they are blaming AI for letting people go, which I think is absolutely nonsensical. There is a very good opportunity for people to grow and for companies to grow using AI and increase their hiring. If you’re letting people go because of AI, it’s just a nonsensical excuse.  So what do you think is the mental hang-up for people? What prevents better AI adoption or faster AI adoption? A long time ago, when computers were being introduced into many industries, I remember there were huge protests because people thought computers would take away jobs. And it did happen. People did lose jobs because of computers. There were many people pushing papers who lost their jobs. And a lot of people refused to learn about computers because they said, “This is nonsensical. I can do it better by hand.” Can you imagine telling people right now that it’s better to do things by hand than to use a computer?  I mean, if you want to do calculations, please don’t use Excel or Google Sheets. Use a pen and paper and tell me you can do it better. It would be absurd to think that way. But at that time, people really did have the mentality that it was better to do things by hand than with Excel. Now, the AI revolution is probably a thousand or a million times bigger than that. And you can drag your feet. There will always be people who drag their feet and say, “I can do it better. AI is just nonsensical.” And sure, some of that is true. But the overwhelming majority of tasks are going to be done extremely well with AI.  And it’s not just large language models. It’s everything. Regression analysis, data analytics, big data analytics, forecasting, calculations. I’m not even talking about transformer models. I’m talking about everything related to AI. So much can be automated and done by AI that if you’re not involved with it, you’ll get left behind, just like the people who didn’t use computers. Do you feel like people have to be highly educated to be able to use AI? Or can people with less formal education benefit from it as well?  I don’t think it has anything to do with education. I think the learning curve for AI is smaller than the learning curve for computers. If you’re already using computers, you can just install a command-line interface and have things running. Actually, you can go to ChatGPT and ask some questions, and you can build something. But if you want to build serious applications, you can use a command-line interface and build them out. I think the learning curve is probably just a couple of hours to become proficient with these tools. I’m thinking more about this: As AI tools develop and take many of the routine, repeatable tasks off our shoulders, doesn’t that mean we will spend more of our time on high-level thinking and orchestration? And won’t that require some kind of mental ability to do that? It requires you to understand context, understand the implications of things, and be able to connect the dots. So that’s what I mean. The people who can really use AI tools have this higher level of awareness and thinking. They can combine ideas and create new things. But are there AI tools that people with less advanced analytical skills can also use? Absolutely. And you’re 100% right. You’re 101% right. This is what I’ve been advocating for a very long time. Don’t spend your time doing mundane, repetitive daily activities that can be automated. Let AI handle them. You should focus on the things AI cannot do right now, which is human-level intelligence: Strategizing. Planning. Working on the bigger-picture tasks. So you’re 100% right, and that’s the direction we should be moving in. And this brings me back to the point I made earlier: You should do what you love. The things you don’t love, the repetitive tasks, should be done by AI.  Yeah. Love it. So what is your vision, ultimately, for AiHello?  So my vision for AiHello goes beyond AiHello. We have something called HalZero, which is the engine we want to put behind AiHello. It’s a zero-hallucination LLM. And we are working toward making it happen. We plan to release an API for it soon. If it does happen, then we would probably have a model that can take in data and answer general-knowledge questions with zero hallucination. And we’re building it based on how the human brain works. The human brain is not one-dimensional. ChatGPT is one-dimensional. Transformer models are one-dimensional.  You give them data, they run it through the transformer model—the encoder and decoder—and then they give you an answer. But the human brain is built in layers. What we call the lizard brain sits at the base, and as you go higher, things become more and more complex. So the brain is information and action, and everything is filtered through it. Then we act on the filtered result. Machine learning models right now do not have these kinds of filters. They have something similar, which is called chain of thought, but that’s really thinking out loud. This kind of reasoning should exist within the latent space of the machine learning model. It should be built into the model itself.  I’ll give you an example. If you had been taught all your life that the sun is green, and tomorrow you woke up in Virginia, went outside, and saw that the sun was yellow, you’d say: “Oh my God, I’ve been lied to all my life. The sun isn’t green.” You would question what you had been taught based on a single observation. But if a machine had been trained for years that the sun is green, and then it saw that the sun was yellow, it might conclude: “The sun is wrong today because I’ve been taught that the sun is green.” The real test of intelligence is this: Can it question its training data? And the answer is no. It won’t, because it has been trained on that data. It has been trained on those tokens.  Yeah. So that’s AI superintelligence? The ability to question the training data?  That is correct. Yeah. So we build it based on connections. How strong is this connection? How many people have stated this fact? What is my own observation? Which observation is stronger? There is always conflict. In the human brain, there is always a conflict between what people say and what we think. Then our logical brain chooses what is usually the best answer. That is how we have a collective consciousness. We also have a personal consciousness. We always have to decide which one is best.  Love it. Well, that’s great. So if you’re running a business and you need to sell a product, and you want to figure out how to be successful on Amazon, how to leverage your ads, and how not to overspend, where should you go? How can people get in touch with you, Ganesh, and your team? And what’s the first step for listeners?  You can send me an email at ganesh@aihello.com. You can connect with me on LinkedIn. I’m always available, and I’m happy to have a chat with you.  All right. So if you’re listening out there and you’re in e-commerce, or you want to get into e-commerce, and you don’t know how to leverage all the tools that are out there, don’t forget: Amazon is in the business of making money, not necessarily making your business profitable. So you can use AiHello to help you. Reach out to Ganesh on LinkedIn and get your team involved. And if you enjoyed listening to this episode, make sure you check back every week because I have successful entrepreneurs sharing their ideas—or at least some of the good ones—with you. So thanks, Ganesh, for coming.  Thank you, Steve.  And thank you for listening. Important Links: Ganesh's LinkedIn Ganesh's website Ganesh's email: ganesh@aihello.com

மேடைப் பேச்சுகள்:   • மேடைப் பேச்சுகள்  மொழி சொல்லும் வழி:   • மொழி சொல்லும் வழி  Cruise to Kaviripoompattinam (பட்டினப்பாலை):   • Pattinapalai  Memories of Madurai (நெடுநல்வாடை)   • Nedunalvaadai  திருக்குறள் கதைகள்:    • Thirukkural  Children Stories (குழந்தைக் கதைகள்):   • குழந்தைக் கதைகள்  இலக்கணம் in a fun way:   • இலக்கணம்  நாடகங்கள்:   • நாடகங்கள்  சமையல்:   • Cooking  கவிதைகள்:   • கவிதைகள்  

Subramanian “Mani” Krishnan is the Founder and CEO of Shastha Foods - a trusted national brand and one of the largest US producers of freshly ground, naturally fermented dosa and idli batters. Previously he built and led a leading international technology trading business.

Climate change is not a belief or a niche theme—it's a 10,000‑year economic shift that reshapes how we should be thinking about energy, food, and materials. In this episode of Sustainability Leaders, Angela Adduci of the BMO Climate Institute speaks with Sanjeev Krishnan, Managing Partner of S2G Investments, about how investors need to rethink capital, risk, and returns in the climate economy. Krishnan explains why traditional venture and private‑equity models often fall short in energy, food, and ocean systems, and why S2G focuses on a “fit‑for‑purpose” framework instead. The conversation explores the growing “missing middle” in climate investment, how systems‑level thinking shapes portfolio construction, and why climate investing is ultimately about turning useful energy into useful materials. Visit BMO for more thought leadership from Angela Adduci: https://capitalmarkets.bmo.com/en/our-bankers/aadduci/

Arun Krishnan, SVP of Global Supply Chain and Strategy at AstraZeneca, shares how the company is reimagining its supply chain to support ambitious growth while keeping patients at the center. He discusses AstraZeneca's focus on innovation, AI-enabled ways of working, self-healing supply chains, and the importance of building capabilities for the future. Arun also explains how the organization continues to maintain strong global supply delivery amid volatility, from the pandemic to geopolitical disruption. Throughout the conversation, he emphasizes the role of curiosity, continuous learning, and empowered leadership in helping people and supply chains adapt to a rapidly changing world.Discover more details here.Follow us on:Instagram: http://bit.ly/2Wba8v7LinkedIn: https://bit.ly/4hbidqoFacebook: http://bit.ly/2HtryLd

As geopolitical tensions persist, Aarathi Krishnan dissects the disconnect between Washington's optimism and Tehran's firm stance on nuclear enrichment. While equities seem to price in a diplomatic resolution, ongoing risks in the Strait of Hormuz could keep war insurance premiums elevated for months. Krishnan warns that a complete collapse of negotiations could send oil prices surging by up to 50%, a scenario major analysts are already monitoring closely.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Join us for a special AAPI Month program featuring prominent Bay Area Asian American elected officials. We'll hear from BART Board Director Janice Li, San Francisco City Attorney David Chiu, and San Mateo County Democratic Central Committee member Uma Rao Krishnan. What drives them in the ultra-competitive Bay Area political scene? What are their goals, and how do they go about achieving them? About the Speakers Janice Li was first elected to the BART Board of Directors in November 2018 and was re-elected in 2022. Li served as president of the Board in 2023, and as vice president in 2022. Janice was born in Hong Kong and moved to the U.S. at a young age. In 2013, Li moved to San Francisco and began working at the SF Bicycle Coalition. Li currently works at Chinese for Affirmative Action, a San Francisco-based organization that has led Asian American civil rights advocacy for over 50 years. She leads the Coalition for Community Safety and Justice, a local coalition that addresses hate and violence targeting Asian American and Pacific Islander communities through community-based programs. David Chiu is the city attorney of San Francisco, the first Asian American to lead one of the country's top municipal law offices. Previously, he represented the half million residents of eastern San Francisco as a State Assemblymember for seven years. For six years, Chiu served as president of the San Francisco Board of Supervisors. Before holding elected office, he served as law clerk to Judge James R. Browning of the U.S. Court of Appeals for the Ninth Circuit, a civil rights attorney with the Lawyers' Committee for Civil Rights, a criminal prosecutor at the San Francisco District Attorney's Office, Democratic Counsel to the U.S. Senate Constitution Subcommittee, and general counsel to a public affairs technology company. A founding member of API Equality, he also served as president of the Asian American Bar Association of the Greater Bay Area.Uma Rao Krishnan is a Gen Z activist, organizer, and engineer bridging the worlds of technology and politics. She holds a B.A. in computer science with a minor in public policy from UC Berkeley and is currently pursuing her Master's in data science there, with a focus on the tech-civics intersection. Krishnan is the co-founder and president of the SMC AAPI Alliance, an organization dedicated to empowering San Mateo County's AAPI community in civic engagement and political action, most recently leading Prop 50 mobilization efforts and anti-Trump actions, including No Kings, where she has served as emcee. First elected as an ADEM delegate at just 21 years old and the highest vote-getter in county history, she has since been re-elected twice and also serves as a member of the San Mateo County Democratic Central Committee and board member of the California Democratic AAPI Caucus.    See more  Michelle Meow Show programs at Commonwealth Club World Affairs of California. Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence is often sold as inevitable — a force that will transform our lives for the better. But Karen Hao believes that story is too simple, and too convenient.An author and journalist, she has spent years investigating the people behind the AI boom. In her book Empire of AI, she argues that the technology is not just being built — it's being shaped by a small group of companies driven by competition and a desire for dominance.In this episode, Krishnan delves into whether she is now an activist as she continues to challenge the idea that AI's future is already written. So, who really decides how AI develops — and is it too late to change course?

Hari Krishnan joins Niels and Cem for a deep exploration of what happens when markets become dominated by flows rather than fundamentals. Drawing on his new paper with Mike Green and Stefan Sturm, Hari explains why rising passive ownership may weaken price discovery, amplify concentration in mega-cap stocks and create conditions for reflexive instability. The conversation expands far beyond indexing, touching on volatility targeting, leverage, dispersion, inflation, government intervention and the growing dependence of the global economy on rising asset prices. Along the way, Cem and Hari debate whether policymakers can continue stabilizing an increasingly fragile system, what could trigger a structural break, and how investors should think about positioning in a world where flows may matter more than fundamentals.-----50 YEARS OF TREND FOLLOWING BOOK AND BEHIND-THE-SCENES VIDEO FOR ACCREDITED INVESTORS - CLICK HERE-----Follow Niels on Twitter, LinkedIn, YouTube or via the TTU website.IT's TRUE ? – most CIO's read 50+ books each year – get your FREE copy of the Ultimate Guide to the Best Investment Books ever written here.And you can get a free copy of my latest book “Ten Reasons to Add Trend Following to Your Portfolio” here.Learn more about the Trend Barometer here.Send your questions to info@toptradersunplugged.comAnd please share this episode with a like-minded friend and leave an honest Rating & Review on iTunes or Spotify so more people can discover the podcast.Follow Cem on Twitter.Follow Hari on LinkedIn.Episode TimeStamps: 00:00 - Hari warns about a fragile financial system dependent on a handful of decision-makers01:06 - Niels introduces Hari's new paper with Mike Green and Stefan Sturm03:00 - Why passive investing may weaken the link between fundamentals and prices08:40 - The key assumptions behind the model12:49 - How passive adoption accelerated structural market changes15:11 - Cem explains why markets may now drive the economy rather than reflect it23:38 - Can policymakers control a complex financial system?27:03 - How passive flows amplify mega-cap concentration31:22 - The changing role of dispersion, volatility and positioning41:04 - What the model suggests about instability at high passive ownership levels46:21 - Why 2022 may have been a warning sign51:55 - Inflation, government intervention and the limits of market control55:33 - What could trigger a systemic break?01:07:28 - Political and demographic pressures beneath the system01:10:43 - Hari's portfolio implications: stay long, hedge smartly and own inflation sensitivityCopyright © 2025 – CMC AG – All Rights Reserved----PLUS: Whenever you're ready... here are 3 ways I can help you in your investment Journey:1. eBooks that cover key topics that you need to know about In my eBooks, I put together some key discoveries and things I have learnt during the more than 3 decades I have worked in the Trend Following industry, which I hope you will find useful. Click Here2. Daily Trend Barometer and Market Score One of the things I'm really proud of, is the fact that I have managed to published the Trend Barometer and Market Score each day for more than a decade...as these tools are really good at describing the environment for trend following managers as well as giving insights into the general positioning of a trend following strategy! Click Here3. Other Resources that can help youAnd if you are hungry for more useful resources from the trend following world...check out some precious resources that I have found over the years to be really valuable. Click HerePrivacy PolicyDisclaimer

This episode contains discussions of sexual violence, human trafficking and child abuse. Please listen at your discretion.Have you ever read a headline, felt the rage to make a difference, but didn't know where to start?But an 8-year-old girl acted on it and inspired millions to make a difference, no matter how small In this episode, Tara sits down with Sunitha Krishnan, founder of Prajwala, Asia's largest institution combating sex trafficking, and Padma Shri recipient, to discuss her memoir I Am What I Am. Over three decades, Sunitha and her team have rescued more than 32,000 survivors and prevented 18,000 children from entering the sex trade. This is the story behind all of that. She traces her journey from a 17-year-old with no experience walking into red light areas to building one of the most sophisticated rescue and rehabilitation operations in the world. She talks about what a rescue actually looks like on the ground, speaks candidly about her own experience of gang rape at 15 and why she refused to let it become her entire identity. From being beaten up and accused of kidnapping the very children she was rescuing, and when she had to spend 23 days in jail, the stories of her fearlessness are endless.Tara and Sunitha ji also get into the process of writing the book. She spent 13 days in a hotel room alone with her memories, writing for 14 hours every day. She spent two hours being violently ill as her body released what her mind had been holding for decades, but she didn't leave until every last memory was on the page. Courage can also be contagious. Press play and maybe you'll be inspired to take that step you might've been putting off. ‘Books and Beyond with Bound' is the podcast where Tara Khandelwal and Michelle D'costa uncover how their books reflect the realities of our lives and society today. Find out what drives India's finest authors: from personal experiences to jugaad research methods, insecurities to publishing journeys. Created by Bound, a storytelling company that helps you grow through stories. Follow us @boundindia on all social media platforms. 

It was a pleasure to host a conversation with Hari Krishnan, Head of Volatility Strategies at SCT Capital, on the changing nature of volatility markets, portfolio hedging, and why commodities may offer increasingly valuable diversification in today's environment. Hari reflects on his book Second Leg Down, which explores practical approaches to tail-risk hedging and the cyclical nature of volatility. He discusses how investors often ignore protection in calm periods, only to rush toward hedges after markets have already repriced risk. That dynamic leads to a broader conversation on planning, budgeting, and approaching hedging as an ongoing portfolio discipline rather than a reactive decision. We then turn to option markets more broadly, including volatility risk premium, skew, and the challenge of protecting against fat-tailed outcomes. Hari explains why moderately out-of-the-money options often embed persistent premium, while deeper tail risks can be difficult to price with confidence. The conversation then shifts to commodities, where Hari sees a differentiated opportunity set. We discuss how producer hedging, end-user demand, and forward-curve dynamics create a very different volatility ecosystem than that in equities. He outlines a strategy focused on gaining long exposure to select commodities while using options structures to reduce carry costs and preserve upside convexity. We close with a discussion on cross-asset dislocations, the recent divergence between oil, gold, and equities, the role of commodities in a world where bonds may be less defensive, and how AI tools are accelerating research, customization, and hypothesis testing across markets. I hope you enjoy this episode of the Alpha Exchange, my conversation with Hari Krishnan.

King Charles heads to Washington at a moment of extraordinary tension. The visit comes just days after an assassination attempt on President Donald Trump - and against the backdrop of a deepening war in Iran, strained UK-US relations, and growing questions about America's global role.In this episode of The Fourcast, Krishnan Guru-Murthy asks whether Britain's most powerful tool, soft power, can hold up in the face of Trump's unpredictable politics. From attacks on the UK Prime Minister and British troops, to disputes over sovereignty and trade, how should the King navigate a meeting with a president who thrives on disruption?Krishnan is joined by Julie Montagu, Countess of Sandwich, Liberal Democrat Europe spokesperson Al Pinkerton, and former UK ambassador to the US Sir David Manning to discuss what's at stake, and whether this royal visit can steady the so-called “special relationship,” or risk making things worse.

You thought you'd dealt with it. You thought you'd moved on. And then something brought it all back — and you realised you haven't moved as far as you thought. Why is forgiveness so hard? And why does it keep coming undone even when you've tried? In this message, Vijay Krishnan introduces two words that reframe the entire conversation — debt and blood. He unpacks why forgiveness isn't just a choice you make once, why the instinct to hold out for payment is more human than we want to admit, and why something that happened 2,000 years ago outside Jerusalem is still the most powerful answer to the question we can't shake. This is Week 3 of Questions You Can't Shake — a series tackling the questions people carry around but rarely ask out loud.

You thought you'd dealt with it. You thought you'd moved on. And then something brought it all back — and you realised you haven't moved as far as you thought. Why is forgiveness so hard? And why does it keep coming undone even when you've tried? In this message, Vijay Krishnan introduces two words that reframe the entire conversation — debt and blood. He unpacks why forgiveness isn't just a choice you make once, why the instinct to hold out for payment is more human than we want to admit, and why something that happened 2,000 years ago outside Jerusalem is still the most powerful answer to the question we can't shake. This is Week 3 of Questions You Can't Shake — a series tackling the questions people carry around but rarely ask out loud. Find us on Apple Podcasts, Spotify, and all major podcast platforms. If this episode helped you, share it with someone who's carrying something they can't seem to put down.

Shalini “Shal” Krishnan was diagnosed at age 31 with Stage II breast cancer. She works as a project manager in the international sports sector and currently lives in Lausanne, Switzerland with her partner. In this episode, Shalini reads her essay, “Swimming, and Changing Direction,” from the 2024 Body issue of Wildfire Journal. The piece transports us to a memory of being caught in the waves at a beach in Brazil, tossed, breathless, and disoriented. A moment of fear that lodged in her body and paralleled the experience of cancer.April and Shalini discuss using metaphor to make sense of illness and how April's Sparks writing workshop helped Shalini shape and write this story. They explore fear, how Shalini once took her body for granted, and what it has meant to rebuild her relationship with it as an athlete after cancer.They also talk about Shalini's experience of attending 10 weddings across 7 countries while undergoing treatment.More about episode sponsor Young Survival Coalition: https://youngsurvival.org/Learn more about Shalini: https://www.instagram.com/shal_k/https://shalsworld.com/Purchase the Body issue of Wildfire Journal: https://www.wildfirecommunity.org/shop/p/digital-body24Buy the Wildfire book Igniting the Fire Within: Stories of Healing, Hope & Humor, Inside Today's Young Breast Cancer Community: https://www.amazon.com/dp/B0BJVJ629F?ref_=pe_3052080_397514860Get the free Wildfire “Hot Flashes” email newsletter: https://www.wildfirecommunity.org/newsletter?rq=newsletterLearn about Wildfire writing workshops: https://www.wildfirecommunity.org/workshopsShop Wildfire merch & more: https://www.wildfirecommunity.org/shop*Free* Get Wildfire and The Burn freebies here: https://www.wildfirecommunity.org/freeMore about Wildfire Journal: https://www.wildfirecommunity.orghttps://www.instagram.com/wildfire_bc_magazine/https://www.facebook.com/wildfirecommunityInformation on submitting your story for consideration to be published in Wildfire Journal: https://www.wildfirecommunity.org/submissions

In a fracturing world awash with belligerent rhetoric, where are the real geopolitical pressure points and what forces are driving them? Aarathi Krishnan, CEO of Raksha Intelligence Futures, joins the "Values & Interests" podcast to pull back the curtain on the political, economic, and technological dynamics shaping this moment of uncertainty and transition in the global system. Be sure to subscribe to "Carnegie Council" wherever you stream your podcasts. Access all "Values & Interests" episodes: https://carnegiecouncil.co/values-interests-podcast For additional analysis, you can access Raksha's latest report: https://www.rak-sha.com/geopolitical-fractures-report-2026 Stock media provided by four_track.

Nikhil Krishnan is the Founder of Out of Pocket, a media company that makes understanding healthcare more entertaining and accessible.We spend 100 minutes talking about how the US healthcare system actually works, how World War II changed it forever, all the ways AI is seeing real adoption across the industry, and most common bad startup ideas in healthcare.Thank you to Numeral, Flex, and Amplitude for supporting this episodeNumeral: The end-to-end platform for sales tax and compliance [https://www.numeral.com](https://www.numeral.com/)Flex: Sign-up for Flex Elite with code TURNER, get $1,000 https://form.typeform.com/to/Rx9rTjFzAmplitude: AI analytics, all you have to do is ask [https://www.amplitude.com](https://www.amplitude.com/)Timestamps:(1:23) How the US healthcare system works(4:26) Why US healthcare is different from the rest of the world(12:01) Why healthcare costs keep going up(15:58) Core problem: is healthcare a marketplace or not?(21:04) How money flows + Two-way price negotiation(27:34) Why payments are seeing early AI adoption(30:08) How AI could change healthcare delivery(35:40) Doctor's are trapped on a productivity hamster wheel(39:28) How incentives shape healthcare delivery(43:53) Healthcare is an implicit jobs program in the US(48:45) Areas AI is overhyped, worst healthcare startups(55:30) Consumerization of healthcare(1:01:58) Rise of Peptides, understanding risks and downsides(1:09:35) Why all medical software is so bad(1:11:58) How to do enterprise sales in healthcare(1:14:51) The battle forming between Scribes, Search, and EMRs(1:18:33) Why we need more physician independence(1:26:51) Starting Out of Pocket in February of 2020(1:2912) Write to meet your audience(1:37:54) Using AI as a content creator(1:42:13) How to get started writing on the internetReferencedOut of Pocket: https://www.outofpocket.health/Doctronic: https://www.doctronic.ai/Follow NikhilTwitter: https://x.com/nikillinitLinkedIn: https://www.linkedin.com/in/thinkboi/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

What if divorce wasn't the end… but your biggest opportunity to rebuild your life and relationships the right way? In this episode of Dating Intelligence, host Christopher Louis and guest divorce coach, Kristine Krishnan break down the reality of dating after divorce—what actually works, what holds people back, and how to move forward with clarity, confidence, and emotional maturity. They explore how to rebuild trust, rediscover your identity, and stop carrying old relationship patterns into new connections. From navigating dating apps to balancing healing with putting yourself back out there, this episode gives you the tools to date with intention—not fear. If you're starting over or questioning your approach to dating, this conversation will help you shift from survival mode into power and clarity. ⸻  In This Episode:     •    How to rebuild yourself after divorce     •    Why emotional maturity is the key to better relationships     •    How to stop repeating old patterns in dating     •    The balance between healing and putting yourself back out there     •    How to trust again after being hurt     •    Navigating dating apps with clarity and confidence     •    Why self-reflection changes everything ⸻ Chapters:  00:00 Investing in Relationships: A New Approach 01:15 New Year, New Beginnings: Setting Intentions 02:30 Emotional Maturity and Conscious Connection 03:56 Reinventing Yourself After Divorce 05:24 Navigating Life Post-Divorce 07:15 Overcoming Fear and Embracing Change 09:10 The Weight of Baggage: Moving Forward 10:38 Self-Reflection: The Key to Healing 11:53 The Role of Coaching in Divorce Recovery 13:12 January: The Month of Divorce 14:08 Moving Forward: Tips for Life After Divorce 15:06 Taking Time for Self-Assessment 17:03 Healing vs. Dating: Finding Balance 19:12 The Importance of Journaling 20:38 Gratitude and Growth: A Positive Outlook 22:32 Rediscovering Your Identity 23:20 The Challenge of Being Alone 24:14 Understanding Values in Relationships 25:34 The Unique Challenges for Women Post-Divorce 27:00 Men's Perspective: The Struggles After Divorce 28:21 The Importance of Support Systems 29:38 Navigating the Dating Scene After Divorce 30:59 The Role of Dating Apps in Modern Relationships 32:22 Accountability in Relationships 34:18 Trusting Again: From Guarded to Grounded 36:38 Healing vs. Hiding: Emotional Availability 39:49 Adapting to Online Dating 42:35 Authenticity vs. Perfection in Dating 44:28 Building Trust in New Relationships 46:11 The Importance of Communication 49:12 Creating Safe Spaces for Vulnerability 51:31 Truth or Honesty: A Game for Connection 54:45 Final Thoughts: Moving Forward with Intention ⸻ Kristine Krishnan  webpage - https://www.coachkristine.com/ ⸻ Christopher Louis- https://www.instagram.com/fetchsport?igsh=NTc4MTIwNjQ2YQ%3D%3D&utm_source=qr Natalie Stavola- https://www.instagram.com/nataliestavola?igsh=NTc4MTIwNjQ2YQ== Dating Intelligence- https://dating-intelligence.com YouTube- https://youtube.com/@DatingIntelligencethePodcast?si=Fr2amnYP8nqd4h2x ⸻ Sponsor: Mentality: https://www.datingmentality.com/

I get a lot of questions about pricing.  Should I start with our most expensive item first? Should I use precise prices instead of rounded ones when negotiating? Should I name competitors when comparing prices? Today, with pricing expert Dr Markus Husemann-Kopetzky we work through eight different psychological pricing tips in just 24 minutes. ---  Listen to the bonus episode: https://nudge.kit.com/a737588e58  Markus' book: https://amzn.to/46Hetcg  Unlock the Nudge Vaults: https://www.nudgepodcast.com/vaults Join 10,634 readers of my newsletter: https://www.nudgepodcast.com/mailing-list  Connect on LinkedIn: https://www.linkedin.com/in/phill-agnew/  --- Today's sources: Bertini, M., & Wathieu, L. (2008). Research note—Attention arousal through price partitioning. Marketing Science, 27(2), 236–246. Bolton, L. E., Warlop, L., & Alba, J. W. (2003). Consumer perceptions of price (un)fairness. Journal of Consumer Research, 29(4), 474–491. Janiszewski, C., & Uy, D. (2008). Precision of the anchor influences the amount of adjustment. Psychological Science, 19(2), 121–127. Kim, H. M., & Kramer, T. (2006). The moderating effects of need for cognition and cognitive effort on responses to multi‐dimensional prices. Journal of Marketing Research. Krishnan, B. C., Biswas, A., & Netemeyer, R. G. (2006). Semantic cues in reference price advertisements: The moderating role of cue concreteness. Journal of Retailing, 82(2), 95–104. Suk, K., Lee, J., & Lichtenstein, D. R. (2012). The influence of price presentation order on consumer choice. Journal of Marketing Research, 49(5), 708–717. Thomas, M., Simon, D. H., & Kadiyali, V. (2010). The price precision effect: Evidence from laboratory and market data. Marketing Science, 29(1), 175–190. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. Wansink, B., Kent, R. J., & Hoch, S. J. (1998). An anchoring and adjustment model of purchase quantity decisions. Journal of Marketing Research, 35(1), 71–81.

In this episode of the Innovations and Clinical Implementation podcast recorded at LongevityFest 2025, hosts Dr. Lexi Gonzales and Jessica Carter discuss functional liver health with Dr. Kiran Krishnan—a research microbiologist and globally recognized expert on the human microbiome and co-founded Microbiome Labs. Dr. Krishnan argues that standard enzymes like AST and ALT are late-stage markers of damage, and instead advocates for proactive support using Dose, a clinically validated liquid therapeutic that serves as a foundational tool for metabolic health and reduces pill burden. The conversation explores the vicious cycle between liver dysfunction and dysbiosis—where "leaky gut" increases endotoxin load (measurable via LBP and HDL3) and reduced bile flow drives SIBO—and explains that Dose is uniquely formulated without black pepper to ensure curcuminoids are metabolized locally by the liver for repair rather than being shunted into systemic circulation.   For access to episode resources, click HERE.

On this week's episode Power Factors VP of Innovation Abilash Krishnan joins Andrew Burnes to discuss some of the challenges developers are facing when it comes to managing their growing portfolios of varying technologies, the continued growth of battery storage, and how that is fitting into the data center demand that we're seeing today.Krishnan also provides some information about Power Factors software and how they aid developers as they grapple with these issues.NPM is a leading data, intelligence & events company providing business development led coverage of the US & European power, storage & data center markets for the development, finance, M&A and corporate community.Download our mobile app.

On this episode, Krishnan Veluswamy, Ph.D., joins the podcast to discuss the upcoming Demo Day at Fibers and Composites Manufacturing Facility (FCMF). Krishnan is an Assistant Professor, Mechanical, Aerospace & Biomedical Engineering Department, and affiliated with Fibers and Composites Manufacturing Facility, University of Tennessee, Knoxville, TN. This upcoming event on Wednesday, March 25th, will provide […] The post Previewing UTK and IACMI Demo Day at Fibers and Composites Manufacturing Facility (FCMF) first appeared on Composites Weekly. The post Previewing UTK and IACMI Demo Day at Fibers and Composites Manufacturing Facility (FCMF) appeared first on Composites Weekly.

Professor Armin Krishnan, an expert in security studies and emerging technologies, discusses the transition toward fifth-generation warfare, where conflict shifts from physical battlefields to psychological manipulation and societal destabilization. Krishnan describes how non-kinetic methods, such as information warfare and digital surveillance, allow actors to achieve political goals without traditional military force. The conversation also explores the chilling possibilities of neurowarfare and directed energy weapons, citing Havana Syndrome as a potential example of remote cognitive interference. Additionally, he examines the rise of a technocratic “shadow government” that utilizes biometrics, AI targeting, and autonomous robotics to enforce control. Ultimately, Krishnan warns that these advancements are leading toward a totalitarian era where the boundaries between the state, technology, and the human body are increasingly blurred. Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics easyDNS (15% off with GEOPOLITICS) https://easydns.com Escape The Technocracy (15% off with GEOPOLITICS) https://escapethetechnocracy.com/geopolitics Outbound Mexico https://outboundmx.com PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Website https://politicalscience.ecu.edu/about/faculty-staff/krishnan Books https://www.amazon.com/stores/author/B001JSHEJW About Professor Armin Krishnan Armin Krishnan is an Associate Professor at East Carolina University. He was Director of Security Studies from 2016 to 2025. He has previously taught intelligence courses as a Visiting Assistant Professor in the National Security Program at the University of Texas at El Paso and held research associate positions at the University of Southampton and Salford University. He has academic degrees in political science, intelligence studies, and security studies from the University of Munich and Salford University, UK. His research has focused on novel aspects of contemporary warfare, including the privatization and outsourcing of military services, the ethics of military robotics, targeted killing and drone warfare, military neuroscience, and psychological warfare. His most recent book is on Havana Syndrome: A Threat to National Security published by Bloomsbury Academic (2025). *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)

Praying on your own can feel difficult. Praying with someone else can feel even more awkward. In Week 3 of The Prayer Lab, Vijay Krishnan explores how to pray with someone — not just for them — in a way that feels natural, relational, and real. If you've ever wondered what to say when praying out loud, felt uncomfortable initiating prayer, or avoided it altogether, this message is for you. You'll learn a simple, practical approach to praying with others that removes pressure and builds connection. Because prayer was never meant to be private or perfect — it was meant to be shared.

Praying on your own can feel difficult. Praying with someone else can feel even more awkward. In Week 3 of The Prayer Lab, Vijay Krishnan explores how to pray with someone — not just for them — in a way that feels natural, relational, and real. If you've ever wondered what to say when praying out loud, felt uncomfortable initiating prayer, or avoided it altogether, this message is for you. You'll learn a simple, practical approach to praying with others that removes pressure and builds connection. Because prayer was never meant to be private or perfect — it was meant to be shared.

Welcome back to Intellicast! On today's episode, Brian Peterson is joined by a friend of the podcast and the newly named Executive Vice President of Products for Rep Data, Vignesh Krishnan. He joins the podcast to discuss Rep Data's recent acquisition of ReDem, as well as data quality and fraud. Kicking off the episode, Vignesh gives Brian the inside details on how ReDem will integrate into the Rep Data/Research Defender ecosystem and how it will expand their fraud detection capabilities beyond the pre-survey phase. As the episode progresses, Brian and Vignesh touch on a variety of topics, including: The fraud detection ecosystem The layered approach to fraud detection How fraud and data quality are not the same thing Insights from each's research-on-research Gen AI's increased usage by fraudsters and respondents And much more! If you wanted to know more about Rep Data's acquisition of ReDem, this is the episode for you. You can learn more about the acquisition here. You can connect with Vignesh on LinkedIn: https://www.linkedin.com/in/vignesh-krishnan-08846aa/ Thanks for tuning in! We've just launched our new whitepaper, The Fraud Detection Reality Check. Get your copy and find out why relying on a single fraud detection tool is a mistake. Download here: https://content.emi-rs.com/fraud-detection-report   Did you miss one of our webinars or want to get some of our whitepapers and reports? You can find it all on our Resources page on our website here: https://emi-rs.com/resources/  Learn more about your ad choices. Visit megaphone.fm/adchoices

If you've ever felt distant from God or struggled to feel His presence in prayer, this message is for you. In Week 2 of The Prayer Lab, Vijay Krishnan explores how to pray when God feels far away. Looking at Psalm 139 and introducing the Prayer of Examen, this message offers a practical way to reconnect spiritually and become more aware of God's presence in everyday life. Many people ask: Why don't I feel close to God?  Is God really with me?  How do I reconnect through prayer?  This teaching shows how reflective prayer can help you see where God has already been at work in your life — and how He may be closer than you think.

If you've ever felt distant from God or struggled to feel His presence in prayer, this message is for you. In Week 2 of The Prayer Lab, Vijay Krishnan explores how to pray when God feels far away. Looking at Psalm 139 and introducing the Prayer of Examen, this message offers a practical way to reconnect spiritually and become more aware of God's presence in everyday life. Many people ask: Why don't I feel close to God?  Is God really with me?  How do I reconnect through prayer?  This teaching shows how reflective prayer can help you see where God has already been at work in your life — and how He may be closer than you think.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/ ----- In this episode, I sit down with my friend Rohit Krishnan - writer of the Substack newsletter Strange Loop Canon - for a hands-on conversation about what it actually looks like to build with AI agents today. Between us we're burning through tens of billions of tokens a month - I hit nearly 100 million in a single day this week - and we share what we're each running on our own machines. We dig into the quirks and surprising power of tools like OpenClaw, Claude Code, and Cowork, debate why AI remains stubbornly bad at good writing, and zoom out to ask what a world of trillions of agents might actually look like — and what economic infrastructure it will need. We covered: (03:15) What's on your screen right now? (04:30) OpenClaw (06:27) Rohit's agent, Morpheus (11:06) Azeem's agent, R. Mini Arnold (19:25) The analyst is now a machine (22:36) 100 million tokens in a day: the new normal (24:44) Building tools to improve AI writing: Horace and Broca (32:19) Why writing is the hardest eval for LLMs (39:18) Towards a trillion agents (42:09) The agentic economy: coordination, identity, and exchange (46:33) How to get started with OpenClaw (51:18) The hardest leap for new users ----- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1 Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As global supply chains fracture, AI reshapes productivity, and technology becomes a core instrument of national power, India is making an ambitious push to redefine its role in the world economy from IT services provider to deep tech superpower.In the season 2 premiere of  TechSurge, host Sriram Viswanathan brings together three defining perspectives to examine how India is positioned to become a global leader in frontier technologies, and what must go right for that vision to succeed.The episode begins with S. Krishnan, Secretary at India's Ministry of Electronics and Information Technology, who outlines how India is treating deep tech as national infrastructure. From the India Semiconductor Mission and AI compute investments to the new RDI (Research, Development & Innovation) framework, Krishnan explains how long-horizon industrial policy is being used to derisk private capital, strengthen domestic design and manufacturing, and accelerate commercialization.Next, former G20 Sherpa Amitabh Kant places India's technology ambitions in a global context. As post-WWII institutions weaken and supply chains are redrawn, Amitabh argues that India's decade of structural reforms, digital public infrastructure, and global partnerships has created a historic opening, if India can sustain free enterprise, execution discipline, and state-level reform.Finally, T.K. Kurien, CEO and Managing Partner of Premji Inves, brings the investor and operator lens. Kurien explores why India has excelled at services and business-model innovation but lagged in core technology creation and what it will take to build globally dominant deep tech companies. From patient capital and university-led innovation to focused national bets in AI applications, biotech, and semiconductors, he outlines the path from ambition to execution.Across policy, geopolitics, and capital, one message is clear: India's deep tech future will not be decided by vision alone but by alignment between government direction, private risk-taking, and long-term discipline.If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform.Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and future Season 2 episodes.Episode LinksIndia Semiconductor Mission (MeitY): https://www.meity.gov.in/India AI Mission & AI Kosh: https://indiaai.gov.in/National Research Foundation & RDI Scheme: https://anrf.gov.in/Premji Invest: https://www.premjiinvest.com/Timestamps00:00 India's Deep Tech Inflection Point02:05 Industrial Policy as National Infrastructure06:52 Why Government Must Catalyze Product Innovation Beyond IT Services09:13 Building the Ecosystem: Talent, Research, Diaspora Return & Startup Scale13:10 India Semiconductor Mission (ISM): What's Different This Time24:56 ISM 2.0 Plans: Fixing Design Incentives & Unlocking Risk Capital27:15 IndiaAI Mission Explained: Compute, Data (AI Kosh) & Model Development33:09 Global Order Shifts: Supply Chains, Tech Power & Introducing Amitabh Kant41:19 Alliances That Matter: China, Europe/Japan Partnerships & Why the US Is Key54:11 How Government Can Take Risk: Fund-of-Funds, R&D Incentives, and Grand Challenges57:07 Dismantle Red Tape, Build World-Class Infrastructure, 01:00:57 Why Premji Invest Focused on Growth Stage (and What Changed for Early Stage)01:03:16 India vs US Investing: Where Returns Come From and Avoiding Valuation Hype01:05:28 Building India's Startup Ecosystem: Capital, Patience, and Core Tech vs Business Models01:13:41 Three Sectors to Bet On: AI Software/Agents, Biotech Breakthroughs, and Pragmatic Semiconductors

Send a textGrades get the spotlight; the child gets the shadow. We sit down with Manoj Krishnan, founder of the Compass Team, to unpack a different way of helping students thrive—through comprehensive assessments that look at emotional health, cognition, speech and language, hearing, nutrition, and more. Instead of chasing scores and hype, Manoj shows how early, standardized screening plus thoughtful guidance can bring students into the mainstream, reduce stigma, and help families and schools act with clarity.The journey wasn't glamorous. Manoj shares how he moved from corporate roles into social impact, why awareness was the hardest hurdle, and what it took to convince principals and parents to trade a little class time for long-term gains in well-being and behavior. We hear real stories—like a child who needed months of speech therapy after mimicking cartoon voices, and a teen pushed toward engineering who found his calling in psychology—and the data behind them: tens of thousands of students screened, with up to 40% showing hidden issues that needed attention.We also dive into career guidance that respects both interest and aptitude, pushing back on the “scope” mindset. Not everyone should code, and that's healthy for a society that needs pilots, nurses, technicians, artists, and teachers. For aspiring change-makers, Manoj lays out a practical playbook: build a rainy-day fund, hire people better than you, keep a tight handle on finances, market with integrity, and be prepared for a marathon. Tech and AI can help, but presence matters—especially for first assessments where context and body language count.Along the way, we talk responsible citizenship at home: finish the water you open, take smaller portions to cut waste, switch off lights and fans, queue with consideration—small acts that build the mindset required for inclusive classrooms and stronger communities. Post‑pandemic, Manoj's team is rebuilding with Aspender, a platform supporting learners from grade one to professional life with skills, placements, and holistic development. If you care about mental health in schools, better career fit, and change that lasts, this conversation will give you both a map and the motivation to start.If this resonated, follow the show, share it with a friend, and leave a review—what's one small change you'll try this week?Have you purchased the copy of Inspire Someone Today, yet - Give it a go geni.us/istbook Available on all podcast platforms, including, Apple Podcasts, YouTube, Spotify

Have you ever tried to pray… and run out of words? Maybe you feel awkward, distracted, guilty for not praying more, or unsure if God is even listening. You're not alone. In this first message of The Prayer Lab, Vijay Krishnan explores why prayer feels so instinctive — and yet so difficult. If you've ever wondered: Why pray if God already knows everything? What do I say when I run out of words? Does prayer actually make a difference? This message reframes prayer as relationship, not performance — and shows how Jesus' words in the Lord's Prayer can help us pray in everyday language. Prayer isn't about getting it right. It's about starting. 

Have you ever tried to pray… and run out of words? Maybe you feel awkward, distracted, guilty for not praying more, or unsure if God is even listening. You're not alone. In this first message of The Prayer Lab, Vijay Krishnan explores why prayer feels so instinctive — and yet so difficult. If you've ever wondered: Why pray if God already knows everything? What do I say when I run out of words? Does prayer actually make a difference? This message reframes prayer as relationship, not performance — and shows how Jesus' words in the Lord's Prayer can help us pray in everyday language. Prayer isn't about getting it right. It's about starting. 

How did the arrival of colour and film technology transform cinema and its cultural politics? Laurie Taylor explores the intertwined histories of technology, aesthetics, and identity.Swarnavel Eswaran, filmmaker and scholar at Michigan State University, introduces us to the remarkable story of Kodak Krishnan – Eastman Kodak's “man from the East.” Krishnan played a pivotal role in bringing American film technology to India during the mid-20th century, a period when cinema was becoming a powerful medium for shaping ideas of modernity and national pride.Kirsty Sinclair Dootson, Associate Professor in the History of Art department at University College London, is one of the organisers of the Bombay Colour Research Network. Her book The Rainbow's Gravity asked how new colour media transformed the way Britain saw itself and its empire between 1856 and 1968. Her research also examines how colour technologies – from early tinting processes to the vibrant palettes of Bollywood musicals became part of debates over race, class, and cultural representation. Kirsty Sinclair Dootson is one of the academics who has been a New Generation Thinker, on the scheme run by the BBC and the Arts and Humanities Research Council to share research on radio. Producer: Natalia Fernandez

The fourth episode in our season of live recordings from the Regent Street Cinema is about another film that explores the relationship between biography and philosophy: Derek Jarman's Wittgenstein (1993), which tells the story of an extraordinary life in a way that is both light and profound. David talks to writer and philosopher Nikhil Krishnan about Ludwig Wittengenstein's ideas of war, science, truth, freedom, sexuality, language, loyalty and communism and how they are portrayed on screen. Does the life explain the ideas or do the ideas explain the life? Next time: Eternal Sunshine of the Spotless Mind w/Beeban Kidron Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sriram Krishnan is an entrepreneur, venture capitalist, and former senior product leader at tech giants like Microsoft, Facebook, Twitter (now X), and Snap. Born in Chennai, India, he began his career at Microsoft before moving to Silicon Valley, where he contributed to product development at leading companies and later transitioned to venture capital as a General Partner at Andreessen Horowitz from 2021 to 2024, focusing on consumer and enterprise investments. In December 2024, President-elect Donald Trump appointed him as Senior Policy Advisor for Artificial Intelligence at the White House Office of Science and Technology Policy, tasked with advancing U.S. dominance in AI amid global competition. Krishnan co-hosted "The Aarthi and Sriram Show" podcast with his wife Aarthi Ramamurthy, interviewing tech leaders and exploring innovation topics. A prolific writer and speaker, he advocates for immigration reform to attract global talent, ethical AI development, and bridging technology with policy to foster economic growth. Shawn Ryan Show Sponsors: https://betterhelp.com/srs This episode is sponsored. Give online therapy a try at betterhelp.com/srs and get on your way to being your best self. https://bruntworkwear.com – USE CODE SRS https://calderalab.com/srs Use code SRS for 20% off your first order. https://meetfabric.com/shawn https://shawnlikesgold.com https://helixsleep.com/srs https://www.hulu.com/welcome https://ketone.com/srs Visit https://ketone.com/srs for 30% OFF your subscription order. https://moinkbox.com/srs https://patriotmobile.com/srs https://rocketmoney.com/srs https://ROKA.com – USE CODE SRS https://ziprecruiter.com/srs Sriram Krishnan Links: X personal - https://x.com/sriramk X official - https://x.com/skrishnan47 Website - https://sriramk.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

From September 18, 2024: Jane Bambauer, Professor at Levin College of Law; Ramya Krishnan, Senior Staff Attorney at the Knight First Amendment Institute and a lecturer in law at Columbia Law School; Alan Rozenshtein, Associate Professor of Law at the University of Minnesota Law School and a Senior Editor at Lawfare, join Kevin Frazier, Assistant Professor at St. Thomas University College of Law and a Tarbell Fellow at Lawfare, to break down the D.C. Circuit Court of Appeals' hearing in TikTok v. Garland, in which a panel of judges assessed the constitutionality of the TikTok bill.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.