Podcasts about Computer science

Derek Champagne talks with Sramana Mitra.Sramana is the founder and CEO of One Million by One Million (1Mby1M), the world's first and only global virtual incubator/accelerator. Its goal is to help a million entrepreneurs globally reach a million dollars in annual revenue, build a trillion dollars in global GDP, and create 10 million jobs.Since its founding in 2010, 1Mby1M has become a powerful platform for democratization of entrepreneurship acceleration.Sramana also developed 1Mby1M's Incubator-in-a-Box methodology for Corporate Incubation that is used by enterprises to manage internal and external innovation endeavors.In 2015, LinkedIn named Sramana one of their Top 10 Influencers alongside Bill Gates and Richard Branson.Sramana has been an entrepreneur and a strategy consultant in Silicon Valley since 1994. Her fields of experience span from hardcore technology disciplines like Artificial Intelligence, Cloud Computing and Semiconductors, to sophisticated consumer marketing industries including e-commerce, fashion and education.As an entrepreneur CEO, Sramana founded three companies: Dais (off-shore software services), Intarka (sales lead generation and qualification software using Artificial Intelligence algorithms; VC: NEA) and Uuma (online personalized store for selling clothes using Expert Systems software; VC: Redwood). Two of these were acquired, while the third received an acquisition offer from Ralph Lauren which the company did not accept.As strategy consultant, Sramana has consulted with over 80 companies, including public companies such as SAP, Cadence Design Systems, Webex, KLA-Tencor, Best Buy, MercadoLibre and Tessera among others. Her work has also included numerous startups and VCs.Sramana has a Masters degree in EECS from MIT and a Bachelors degree in Computer Science and Economics from Smith College.From 2000 to 2004, Sramana chaired the MIT Club of Northern California's entrepreneurship program in Silicon Valley.Learn more at www.1Mby1M.comBusiness Leadership Series Intro and Outro music provided by Just Off Turner: https://music.apple.com/za/album/the-long-walk-back/268386576

AI is impacting every part of our lives—and we need to start paying more attention.Watch this eye-opening conversation with Dr. Filippo Menczer, Professor of Informatics and Computer Science at Indiana University whose research explores how social bots, algorithms, and artificial intelligence manipulate what we see, believe, and share online.We discuss:How AI-powered bots can manufacture the illusion that thousands of real people agree with somethingWhy our cognitive biases and psychological need to belong make all of us vulnerable to misinformation—regardless of level of intelligence or educationHow AI is being weaponized to manipulate public opinion and distort what we believeWhy empathy can help us challenge echo chambers and understand people who think differentlyIf you care about trust, political divides, and protecting yourself from misinformation in the age of AI—you don't want to miss this conversation.00:00 Preview01:00 Episode introduction03:39 About Dr. Filippo Menczer05:42 Fil's backstory08:08 Fil's fake news experiment that revealed why misinformation is profitable11:33 How social bots manipulate what appears popular on social media16:40 Why cognitive biases and our desire to belong make us vulnerable to online manipulation22:52 How social media filters our world and deepens political divides27:46 Why limited exposure to different perspectives reinforces our biases and distorts how we see others33:01 Are our phones actually listening to our conversations?39:58 What researchers discovered about 1,000+ ChatGPT-controlled social media accounts43:14 Why Botometer was built to detect fake social media accounts47:56 The risks of AI-generated bots that are difficult to distinguish from humans50:40 Are we heading toward a global misinformation crisis?54:55 Should children under 16 be banned from social media?59:40  Why exposure to opposing views can actually deepen polarization01:03:35  Dr. Filippo Menczer's Purposeful Empathy storyEpisode #10 of Empathy in the Age of AI part II, a special 25-part series: https://tinyurl.com/exyw2nua CONNECT WITH FILIPPO✩ LinkedIn https://www.linkedin.com/in/fmenczer/ ✩ Website https://cnets.indiana.edu/fil CONNECT WITH ANITA✩ Email purposefulempathy@gmail.com ✩ Website https://www.anitanowak.com✩ Buy a copy of Purposeful Empathy http://tiny.cc/PurposefulEmpathyCA✩ LinkedIn https://www.linkedin.com/in/anitanowak/✩ Instagram https://tinyurl.com/anitanowakinstagram✩ Podcast Audio https://tinyurl.com/PurposefulEmpathyPodcast✩ Bluesky https://bsky.app/profile/anitanowak.bsky.socialSHOW NOTES✩ Hoaxy: A Platform for Tracking Online Misinformation https://www.researchgate.net/publication/301841797_Hoaxy_A_Platform_for_Tracking_Online_Misinformation✩ BotOrNot: A System to Evaluate Social Bots https://www.researchgate.net/publication/312635179_BotOrNot_A_System_to_Evaluate_Social_Bots✩ Exposure to social engagement metrics increases vulnerability to misinformation https://www.researchgate.net/publication/343213021_Exposure_to_social_engagement_metrics_increases_vulnerability_to_misinformation✩ Botometer 101: social bot practicum for computational social scientists https://www.researchgate.net/publication/362825797_Botometer_101_social_bot_practicum_for_computational_social_scientistsVideo edited by Jad Misri, Green Horizon Studio

Danit Nativ Navon, Senior Software Engineering Manager at Meta, unpacks how the company became the first major tech firm to build AI-enabled coding interviews. She breaks down the process of rethinking what engineering interviews actually measure (now that AI can write the code itself), and explains why the leadership qualities that matter most now look nothing like the skills these interviews were originally built to test. Key Takeaways: How to tell the difference between a candidate who's simply good at prompting from a genuine AI-native engineer What a viral interview-cheating tool revealed about a much deeper flaw in traditional coding tests Why leadership qualities are becoming more valuable to engineers in the AI era How company culture ends up being the real safeguard for privacy and safety  Guest Bio: Danit Nativ Navon is a Senior Engineering Manager in Meta's Applied AI division, with two decades of experience and an academic background in Computer Science and Neuroscience. At Meta, she pioneered AI-enabled coding interviews, making it the first major tech company to adopt AI-native evaluation for engineering talent. She also coaches leaders through AI-driven change and helps new hires to integrate AI skills into Meta's engineering environment. A self-described late adopter who chose to evolve rather than fall behind, Danit now helps others step confidently into the AI era. Her global journey across Israel, Singapore, Mexico, and London informs her practical, people-first approach to engineering leadership.  ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Artificial intelligence is back in the headlines as warnings from the people building it raise new questions about where the technology is headed. A former Anthropic researcher has quit over fears that AI companies are racing toward self-improving systems that could eventually escape human control, while other industry leaders are calling for a slowdown and outlining the need for regulation. Dan talked with Dr. Neil Thompson, Director of the FutureTech research project at MIT’s Computer Science and Artificial Intelligence Laboratory, about the power of AI and its future.See omnystudio.com/listener for privacy information.

Russ Salakhutdinov, PhD., is the UPMC professor in the  Machine Learning Department, in the School of Computer Science at Carnegie Mellon University. He is also the CSO at Sooth Labs,; President Elect ICML Board; Ex-VP of Research at Meta; Director of AI Research at Apple,   Russ Salakhutdinov's students at Carnegie Mellon University are building the forefront of AI and Robotics. Zhilin Yang founded Moonshot AI; Jimmy Ba co-founded xAI; Devendra Chaplot is at Thinking Machines and Mistral; Nitish Srivastava co-founded Vayu Robotics and Perceptual Machines. His alumni populate Google DeepMind, OpenAI, Anthropic, Tesla, X AI, Meta's Superintelligence Lab, and the list goes on. His students wrote the Dropout paper and the Adam optimizer papers, which trained every major model in the last decade. And Russ will tell you "it's not about him". Today on Lab to Startup, we're going to learn about the magic that happens in his lab. Because one advisor doesn't produce this many founders and researchers by accident. We also explored a few other topics like AI in drug discovery, building Sooth labs, and Geoffrey Hinton's views about AI as an existential threat.   Russ received his PhD in machine learning from the University of Toronto in 2009 working for Nobel Laureate, Geoffrey Hinton, considered the God Father of AI. Shownotes: Reasons for such level of success: Luck, student conviction, environment, freedom to explore Russ's beginnings at Geoffrey Hinton's lab: Freedom to explore, colleagues with Ilya Sutskever, Alex Krizhevsky, Yann André Le Cun, amongst others Power of conviction Russ's lab absolutely believes in  Early days were based on models; and now, we are in the age of scaling Some things work better at scale A little less innovation in industry compared to academia. In industry, innovation happens around scale What it takes to believe in something before the rest of the world does How can a professor/advisor help these self driven, high conviction students working in their labs? Paper reviews are complex, especially when they reject it Publishing is good, but people are looking for impact! Don't just optimize for publications Scientific community doesn't understand the role of scaling Balancing being a skeptic and also supporting a student as a professor Building Sooth Labs Teaching about AI to kids Coming up with ideas AI in drug discovery Supporting students when things are not going well Geoff Hinton now warns the world about existential AI risk. 

Moon rocks collected by astronauts in the past are helping students learn computer skills for tomorrow.

Brian and Aaron interview Gavriel Cohen, co-founder and CEO of Nanoco and creator of the open-source agent framework NanoClaw, about securing AI agents in enterprise environments. Cohen shares how he built NanoClaw after discovering major security and safety gaps while using agents for an AI native marketing agency, and how the project grew to over 30,000 GitHub stars and over half a million downloads. They discuss why Fortune 500s, financial institutions, universities, and government groups feel urgent pressure to adopt agents but are blocked by control, privacy, and security concerns. Cohen outlines a zero-trust approach using microVM isolation, no credentials inside agent environments, a policy-enforcing gateway with granular controls, audit logs, cost attribution, and human-in-the-loop approvals at key decision points.SHOW: 1062SHOW TRANSCRIPT: The Enterprise AI Show #1062 TranscriptSHOW VIDEO: https://youtu.be/h906EEQSRs8SHOW LINKS:NanoClaw on GitHubNanoCo homepageTechCrunch: The wild six weeks for NanoClaw's creator that led to a deal with DockerThe New Stack: Gavriel Cohen found his own code inside OpenClaw, so he walked awayOpenAI: The Hugging Face incident and the road aheadSHOW SPONSORS:Nasuni - Activate your data for AI and request a demoNordLayer - Use ENTERPRISE10 for 10% offGUEST BIO:Gavriel Cohen is co-founder and CEO of NanoCo, and creator of NanoClaw, the open-source agent harness he built as a small, auditable, secure alternative to OpenClaw. He spent a decade as a developer and team lead at Wix before building NanoClaw in a weekend, a project that has since drawn a Docker integration and an outside security review. He holds a BSc in Physics and Computer Science from Tel Aviv University.FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

In popular culture, computer science is practically synonymous with programming. There are obviously branches of computer science in which computer hardware and software are essential, such as in the design of operating systems or the study of memory management. But in the theoretical side of the field, researchers need not ever touch a real, physical computer. Do computers play an essential conceptual role in that kind of theoretical work?  On this episode of The Quanta Podcast, host Samir Patel wades into an age-old debate with writer Ben Brubaker: If computer science isn't about computers, then what is it about? This topic was covered in a recent story for Quanta Magazine.   Each week on The Quanta Podcast, Quanta Magazine editor-in-chief Samir Patel speaks with the people behind the award-winning publication to navigate through some of the most important and mind-expanding questions in science and math.

She grew up running around a veterinary college, spent three years in med school hating it, ran away to the circus for a bit, and now she's a PhD researcher in adversarial machine learning who doesn't really believe in AI. Meet Patti—a woman who refuses to be put in a box.In this episode, Patti takes us on a journey through her winding career path: from microbiology and immunology to computer science, from fire-spinning festivals to DJing under the name DJ Patti.K. She breaks down what AI actually is (statistics on steroids), why she thinks the cons of AI outweigh the pros, and how she's using her research to stay sharp while questioning the technology she studies.Patti also opens up about her passion for lowering the barriers to computer literacy, her work with Tech Girls Canada, and why she's launched a DJ collective called Freak Alantik to create space for racialised queer DJs in Halifax. She shares how she balances being a researcher, a musician, a parent, and a community builder—all by knowing her values and staying true to herself.Whether you're curious about AI, looking to start a creative project, or just trying to figure out how to be in multiple places at once, this episode is for you.Patricia (Patti) Kibenge is a 2nd-generation Ugandan-Canadian living and loving in Kjipuktuk, the ancestral and unceded territory of the Mi'kmaq people. She is a PhD candidate in Computer Science at Dalhousie University in her final year of studies. Her research is in Adversarial Machine Learning (AML), which is an emerging field that combines cybersecurity and artificial intelligence, investigating attacks on machine and deep learning algorithms and defences against such attacks.In her spare time, she is a DJ, host, promoter and now also a mermaid. She can most likely be found working on her laptop at a café in the North End, supporting her 5-year-old's multiple interests and always surrounded by music.Find out more @patti.kibenge@dj.patti.k@freeqatl@blk.itnetwork

Chinese professionals can be international and take flexpat jobs, but how?What can flexpats do to add value to the growth of Chinese professionals?James Hsu is a bilingual executive coach and trainer with a solid academic background including a Computer Science bachelor's degree and an Executive MBA, paired with rich cross-cultural experience growing up in Canada and currently working in China.Now a full-time freelancer, trainer and KOL, James leverages his collaborative leadership style, cross-cultural insight and stakeholder influencing capabilities to deliver professional coaching and training services.

From a Mumbai informal settlement to a scholarship worth more than $100,000 in Sydney, Sana Hussain Shaikh is opening a new chapter. The IT graduate is heading to the University of Sydney to study a Master of Computer Science, becoming the first scholar through its partnership with Aseema Charitable Trust and the first in her family to pursue postgraduate study. Sana spoke to SBS Hindi about her journey, future plans and her goal of using technology to make life safer for women and older people. Bhavya Pandey reports.

In this episode of Software People Stories, Gayathri Kalyanaraman speaks with Vasu Vadlamani, a technology leader, architect, entrepreneur and Professor of Practice, about a career that has evolved alongside the software industry itself. About his accidental start to an AI Era tech leader who's defining mantra has been Every role has an expiration date! Vasu takes us back to the early 1990s, when software meant client-server systems, handwritten notes and face-to-face communication. From his early work with Citibank to working with Sun Microsystems, building a professional services organization, experiencing the disruption that followed Oracle's acquisition of Sun, and later taking on technology and architecture roles at HCL and Cognizant, his journey reflects several waves of technology transformation.But perhaps the most interesting transition came later.While working at Cognizant, Vasu found himself asking a fundamental question: Why should the gap between college education and industry readiness be so large?This led him to work with educational institutions with a very practical goal — to make graduates industry-ready much sooner. Eventually, that became the driving force behind his move from corporate technology leadership to becoming a Professor of Practice.Today, Vasu sees himself less as a software professional and more as someone whose purpose is to help people do their best — in technology, in their careers and in their interactions with others.The conversation explores:The early days of software and how dramatically the industry has evolvedWhy business understanding helped Vasu become a better software professionalBuilding and scaling a technology services organization from zero to 150 peopleNavigating the difficult period when the Sun Microsystems ecosystem disappearedMoving from customer-facing roles to architecting internal enterprise systemsThe philosophy of making software development “zero maintenance”Why the gap between education and industry continues to matterMaking graduates “production ready” rather than simply degree readyWhy professors also need exposure to real-world engineeringCreating safe, sandboxed opportunities for faculty and students to work on real enterprise use casesWhat AI means for technology careersWhy roles will change, but technology itself isn't going awayThe importance of resilience, curiosity, teamwork and being “an engineer at heart”At the heart of the conversation is a simple message from Vasu:Don't worry about the future of technology. Keep learning, keep adapting, and keep building. There will always be a place for people who are willing to do the work and find their way.Quotable Quotes“Don't worry about AI. Roles will change. The industry will still be there.”“If you fail, use your knowledge to get up and rise again faster.”“IT is a team's play. One person alone cannot run the ship.”“The younger generation will always be smarter than me. If I can succeed, Gen Z will definitely succeed.”“If Vasu can find a way, you are much smarter than me. You will find a better way.”Vasu Vadlamani is an accomplished IT Professional offering 30 years of experience in integrating Technical and Domain expertise (Financial Services), focusing on Large Complex Digital Transformation Initiatives. An efficient Communicator possessing strong Coordination, Interpersonal, Mentoring and Team Management Skills. Cross Functional Services Leader managing multi geo, multi service line deliveries for over $440+M. Vasu was  CTO of ADM Insurance Domain, responsible to create and execute an Information Technology Strategy to modernize enterprise technological applications, moving away from their legacy apps to modern On Cloud tech stack. Co-authored the (C)ontain, (M)aintain (I)nvest philosophy so significantly enhance the business value of applications.His  research interests span Artificial Intelligence & Machine Learning, Cloud & Distributed Systems, Data Science, Software Engineering practices, and CS Education & Pedagogy. He is  particularly interested in how emerging technologies reshape both industry workflows and the way Computer Science itself should be taught at the graduate and postgraduate level.Vasu can be reached at https://www.linkedin.com/in/vasuvadlamani/

On past episodes of this podcast, we've discussed several stages of the career path for academics including the transition from grad school to faculty and decisions to move to administrative positions. In this episode, Alark Joshi and Victoria Hallinan join us to discuss the role that a postdoc may play in an academic's career trajectory. Alark is a professor of Computer Science at the University of San Francisco. His work focuses on data visualization literacy and strategies for inclusive computer science education. Victoria is the Program Director for Professional Development in the Office of Postdoctoral Affairs at Yale University. Alark and Victoria are the co-authors of Postdoc: How to Navigate Your Career After Grad School, which has recently been released by Johns Hopkins Press.  Show notes and the transcript for this episode may be found at http://teaforteaching.com

Benny Chen, Co-Founder @ Fireworks AI, joins the show to discuss his founder journey and share valuable insights on navigating common founder / product dev challenges in today's agent-first landscape. He and Jerry cover strategies for creating effective messaging, staying competitive in a crowded market space, hiring top-tier talent / what qualities to look for in high-performing engineers, navigating the cultural shift to managing agents, creating data flywheels & how this can help your customers, and more. ABOUT BENNY CHEN As co-founder and early product architect, Benny Chen shaped Fireworks AI's infrastructure strategy, spearheading the design of scalable systems to support high-throughput AI model serving. Benny's contributions established the technical foundation for Fireworks AI's robust and cloud-native architecture, which underpins its ability to meet enterprise demands. Formerly Meta's Ads Infrastructure Lead, Benny optimized large-scale ad-serving pipelines and developed significant expertise in distributed systems and cloud infrastructure. He holds a B.S. in Computer Science from Stanford University, bringing both leadership and technical depth to the Fireworks AI management team. Sinch is the communications infrastructure the AI era runs on. There's a layer of infrastructure behind every text, call, and login code your product sends, and it works exactly like plumbing: nobody thinks about it until it's the reason something broke. Most providers route through 4-6 intermediaries; Sinch connects in 1-2 hops, direct carrier relationships across 600+ connections, handling 900 billion interactions a year across 60+ countries. Routing, compliance, fraud prevention handled automatically rather than manually managed by the business sending the message! Sinch is the reliability layer underneath AI-driven customer communications; the infrastructure that determines whether an AI agent's output actually reaches a real person as a delivered text, connected call, or verified interaction. Check it out here! SHOW NOTES: Moving from an early idea to a rocket ship (1:13) Insights on developing / communicating your core message as an early founder (2:40) Role of open source & inference @ Fireworks AI (4:24) How Firework AI's company messaging evolved over time (6:07) Popular customization features today (7:25) Strategies for staying competitive in a crowded market (9:11) Defining the customer data flywheel & how it helps users (11:25) Common types of data that companies can collect to train their AI models (13:53) The customer's next steps after creating a data flywheel (15:53) Benny's perspective on acquiring engineering talent as a founder (16:43) Common traits shared by high-performing engineers @ Fireworks (19:05) How AI has altered which traits founders prioritize when hiring (20:45) Navigating the shift from engineering work to managing agents (22:40) Frameworks to ensure agents are doing the right thing (25:23) Aligning your metrics with the outcome you're trying to follow (27:37) What a typical day looks like for Benny as a founder (28:31) Advice for founders / eng leaders looking to embrace AI adoption (29:19) Rapid fire questions (31:15) This episode wouldn't have been possible without the help of our incredible production team: Patrick Gallagher - Producer & Co-Host Jerry Li - Co-Host Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/ Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/ Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Haylie Pomroy is joined by Dr. Travis Craddock, PhD, Associate Professor at Nova Southeastern University, to explore how computational biology and computer modeling of the brain are changing the way researchers understand and treat neuroinflammatory disease. Dr. Craddock explains how his lab builds virtual models of the brain's immune system, simulates disease states before ever treating a real patient, and applies this theory-driven approach to conditions like myalgic encephalomyelitis, chronic fatigue syndrome, Gulf War illness, and Parkinson's disease. Together, they discuss the ongoing investigation into Epstein-Barr virus reactivation in chronic fatigue syndrome, why the body cannot be understood as a simple cause-and-effect system, and practical findings on sleep timing, gut health, and mineral balance that support brain health. Discover how theory-driven modeling is shortening the distance between research and real-world treatment, and why understanding the brain as part of one interconnected system may be key to reversing chronic illness, here on Fast Metabolism Matters.   If your body feels like it's running on empty, overburdened, or just not responding the way it used to, Haylie's latest book, Toxic Overload, tells you exactly what to do. Download your free digital copy today and start understanding what your body is trying to tell you.   Free Download: Get Your Copy of Toxic Overload

This week on Conflict Managed we welcome Vladimir Baranov. Together we explore: How do you uncover what you want? Gathering context Setting expectations Developing leadership skills Role modeling Annoyance vs. pain at work Exposure to a variety of experiences Conflict Managed is available wherever you get your podcasts and on YouTube @ 3pconflictrestoration   Vladimir Baranov is an Executive Coach for Founders and Technical Leaders with a track record of coaching and mentoring at U.S. and U.K. incubators and accelerators, specializing in launching, developing, and sustaining startups through a zero-to-one approach that transforms ideas into tangible businesses — including bridging the frequently misaligned worlds of business and technology. A serial entrepreneur, he founded three companies with successful exits in fintech and spacetech, and his experience across founder, CTO, COO, and CISO roles has given him a comprehensive perspective on scaling businesses through various funding stages and building optimal data and technology services. Vladimir holds MBAs from Columbia and London Business Schools and dual degrees in Computer Science and Computer Engineering from Stony Brook University, where his studies spanned software development and robotics. He remains deeply passionate about communication strategies, organizational and social behavior, and lifelong learning.   Conflict Managed is produced by Third Party Workplace Conflict Restoration Services and hosted by Merry Brown.   #ConflictManagement #WorkplaceCulture #Communication #Podcast #Confllict

Houman Z. Emami, a native of Iran (ancient Persia), has a bright academic career in Philosophy and Religion, Holism and Consciousness, with earlier careers in Computer Science, Telecommunications, and a number of educational-institute startups. He has completed undergraduate studies in the above fields, within and without standard academic training, and he continues in his graduate and Ph.D. thesis, “On Intuition, the Heart Faculty, and Theophanies”.Before reaching his eleventh year, Houman had lived through the Iranian revolution of 1979, the Iran and Iraq war of 1981, and the inner-city bombings and atrocities of war. “And that was just the beginning,” he tells us. Miraculous events began as a direct result of these earlier years of awakening and grew in proportion to his yearning. In this way, the dark side of war, and the lesser-known light side of war were made manifest from age five onwards. After several relocations and maturing in both eastern and western cultures before his thirtieth year, Houman had taken part in a relatively successful lifestyle, returned to academia and various spiritual practices thrice, finally taking early retirement in his late twenties, leaving all behind and spending a decade as an independent world-traveler, contemporary monk and spiritual pilgrim. These later awakenings in solitude and on the pilgrim's walk integrated those of his early childhood.At last, returning to worldly life in his late thirties, he continues to impact the world he left behind. Loved ones and relations lovingly refer to him as “scribe,” “pilgrim,” and “scholar.” A “scribe” is one who decodes and deciphers the teachings of the ancient scrolls, which are symbolic representations of transcendent realms made immanent within a simple framework of understanding. A “pilgrim” is one who leaves the mind behind (is a passerby), leads from the heart, “connects the dots,” is a bridge-builder, and a peacemaker. And a “scholar,” from scolere, is one who lives at ease as a student of life, truth, and wisdom. In this respect, he has written:Let the truth of love be & become the love of truth, and the love of truth be & become the truth of love. That means, the soul genuinely desires love and truth, embraced by and swaying this way and that throughout life, in order to teach us that we must love unconditionally but when finding ourselves in the snares of selfish love, we must pursue truth; and we must pursue truth unconditionally but when we find truth become empty tradition and superstition, we must pursue love.In practice, Houman's spiritual invocation consciously began in his early teens, as a result of a near-death experience (NDE)—taking him back to his early childhood visions, and to his native ancestral teachings of the East, Near East, and the Orient. After his near-death experience and remembering his life's calling more fully from age five, Houman recalled all that proceeded from that age in the divine plan, walking them out and remembering them step by step.Years later, these remembrances and awakenings culminated into visionary experiences and embodiments—involving “theophanies,” meaning divine interventions or encounters. Twelve years of practice and integration turned him into an independent spiritual pilgrim in 2003, and he has been traveling the world since. His journey has been one of the most overwhelming stories one might hear.All there is, IS Love for Love IS…

"When something becomes a measurement, it stops becoming a good target." In a world obsessed with digital efficiency and quick fixes, the real currency of a meaningful life remains independent thought, presence, and intentional effort. In this episode of Gratitude Through Hard Times, host Chris Schembra sits down with Nishat Mehta, CEO of Lexitas. A Harvard-trained mathematician and computer scientist turned executive, Nishat breaks down how leaders can navigate rapid change by embracing dialectical thinking—holding two seemingly competing truths at the same time. From balancing bottom-line performance with human empathy to shifting parenting styles as children grow, Nishat shares key insights on Goodhart's Law, confident humility, and finding extraordinary meaning in ordinary moments. 10 Memorable Quotes: "The new normal is that it will just keep changing. It really comes down to the ability to accept the change yourself and then lead the change amongst those around you." — Nishat Mehta "Confident humility balances high confidence in one's ability to figure things out with low ego regarding one's own current knowledge." — Chris Schembra "When something becomes a measurement, it stops becoming a good target." — Nishat Mehta "Always find the extraordinary in the ordinary." — Chris Schembra "Everything is on a spectrum... the edges of the spectrum are rarely the right answer." — Nishat Mehta "Efficiency increases consumption if you're not careful." — Chris Schembra "The journey is far more important than the destination... if we are constantly changing, it's because we are succeeding at the things we needed to do before." — Nishat Mehta "We must step out of the tyranny of the 'or' and into the genius of the 'and'." — Chris Schembra "Great work is something you're supposed to do, but recognizing what might seem ordinary is worthy of extraordinary gratitude." — Nishat Mehta "Gratitude doesn't change your circumstances; it changes your capacity to carry them." — Chris Schembra 10 Key Takeaways: Practicing Confident Humility: Balancing low ego regarding current knowledge with high confidence in a team's adaptability to solve complex, unfamiliar problems. Overcoming Goodhart's Law: Why single metrics distort business outcomes, and how pairing competing targets (like quantity vs. quality) maintains operational integrity. The "Genius of the 'And'": Replacing rigid "either/or" tradeoffs with dialectical thinking that unites radical acceptance with proactive change. Navigating Shifts in Family & Parenting: Transitioning from physical, hands-on care for young children to emotional, social mentorship as they grow into independence. Understanding Jevons Paradox in Modern Work: Recognizing how efficiency gains from AI can be swallowed by routine busyness unless leaders intentionally safeguard time for human connection. Harnessing "Collective Effervescence": Leveraging physical experiences, shared sports, and community gatherings to foster genuine human harmony and connection. Lowering Barriers to Access Justice: Applying technology and low-level AI guidance to make legal support more affordable, equitable, and fair. Change Management as a Core Leadership Skill: Shifting focus from day-to-day tactical execution toward building organizational consensus and motivating teams through continuous evolution. Finding Extraordinary Meaning in Ordinary Moments: Cultivating daily awareness to appreciate quiet family routines and ordinary acts of care that are often taken for granted. Embracing the Business Journey Over Destinations: Accepting that strategic goals evolve naturally as progress is made, making the growth process the ultimate measure of success. About our Guest: Nishat Mehta is the Chief Executive Officer of Lexitas, a leading national provider of technology-enabled litigation services and an Apax portfolio company based in Houston, Texas. He stepped into the CEO seat on January 1, 2025, having originally joined the company as President and Chief Operating Officer in March 2024. Under his leadership, Lexitas is launching AI-enabled deposition analysis, expanding its eLaw case-tracking platform, and continuing to serve law firms, insurance companies, and corporations across all 50 states. Nishat brings more than two decades of leadership across data, analytics, and enterprise technology. He most recently served as President of Global Products and Solutions and Chief Product Officer at Circana (formed from the merger of IRI and The NPD Group), where he ran the firm's global media, analytics, e-commerce, software, and consulting divisions. Prior to Circana, he led the customer communications team at 84.51° (Kroger's data-science and personalization arm), directed strategic partnerships at dunnhumby, and spent 15 years at MicroStrategy. He also serves on the Board of Directors of The E.W. Scripps Company (NASDAQ: SSP) and on the Board of Advisors of Adelaide Metrics. Nishat holds a Bachelor's degree in Applied Mathematics and a Master's degree in Computer Science, both from Harvard University. He lives in New York with his wife, Shalini, and their three children. His guiding quote, from John Wooden: ability may get you to the top, but it takes character to keep you there.

Join Dr. Lewis in a conversation with Debbie Jackson, Personal Leadership Coach. Debbie Jackson is an accomplished leader, certified coach, and the creator of the Trapped in Success Solution™. With an honours degree in Computer Science, Debbie built an extensive corporate career spanning R&D, Engineering, Quality Assurance, IT, Learning and Development, and Services. Email: www.debleejacson@outlook.com Wessite: www.debbiejacksoncoaching.comSuccess 4 Women is broadcast live Thursdays at 2PM ET on W4WN Radio - Women 4 Women Network (www.w4wn.com) part of Talk 4 Radio (www.talk4radio.com) on the Talk 4 Media Network (www.talk4media.com). Success 4 Women TV Show is viewed on Talk 4 TV (www.talk4tv.com).Success 4 Women Podcast is also available on Talk 4 Media (www.talk4media.com), Talk 4 Podcasting (www.talk4podcasting.com), iHeartRadio, Amazon Music, Pandora, Spotify, Audible, and over 100 other podcast outlets.Become a supporter of this podcast: https://www.spreaker.com/podcast/success-4-women--3126970/support.

Will AI take our jobs? Kill us? This episode provides both fact-checking and a psychological survival guide. Cal Newport is a Professor of Computer Science at Georgetown University, where he is also a founding faculty member of the Center for Digital Ethics and the inaugural Director of the Computer Science, Ethics and Society academic program. He is the New York Times bestselling author of eight books, including, most recently, Slow Productivity, A World Without Email, Digital Minimalism, and Deep Work. Newport is also a long-time contributing writer for the New Yorker and the host of the Deep Questions podcast. Matthew Brensilver, MSW, PhD teaches retreats at the Insight Retreat Center, Spirit Rock Meditation Center and Insight Meditation Society. Before committing to teach meditation full-time, he spent years doing research on addiction pharmacotherapy at the UCLA Center for Behavioral and Addiction Medicine. Each winter and summer, he offers a four-month online Buddhist Psychology Training through Spirit Rock integrating Buddhist wisdom with modern psychotherapy. Matthew is the co-author of two books about meditation during adolescence and continues to be interested in the unfolding dialogue between Buddhism and science. In this episode we talk about: What really happened when an AI agent hacked a company while running a test Why one Silicon Valley belief system may be fueling AI panic more than the tech itself Why senior programmers are quietly going back to writing code by hand Where Cal draws the line on using AI to help you write versus write for you Why Matthew worries AI could quietly replace the ordinary, unfinished parts of daily life Buddhist advice on being with this unprecedented moment How stabilizing your mind makes acceptance possible, and how to do it Why calming the sense of emergency doesn't erase uncertainty, but makes it easier to face Get the 10% with Dan Harris app here Sign up for Dan's free newsletter here Follow Dan on social: Instagram, TikTok Subscribe to our YouTube Channel Additional Resources:This episode is sponsored by: Tonal: Right now, Tonal is offering our listeners $200 off your Tonal purchase at tonal.com with promo code HAPPIER. To advertise on the show, contact sales@advertisecast.com or visit https://advertising.libsyn.com/10HappierwithDanHarris

What does it actually take to walk into rooms where no one looks like you and not just survive them, but change them? Dr. Marie-Ange Eyoum Tagne's story begins in Cameroon and leads all the way to the highest levels of Silicon Valley tech leadership, and the lessons she's learned along the way will change how you think about your own journey. Topics covered: Growing up in Cameroon, community, and the moment an aunt told her "girls don't go to the moon" Working full-time at minimum wage while carrying a 26-unit course load to graduate as valedictorian Failing her PhD prelim at UC Berkeley, imposter syndrome, and the mentor who told her "I believe in you" Becoming the first African-born woman to earn a PhD in Electrical Engineering and Computer Science from UC Berkeley Her PURPOSE framework and the biblical story of Esther behind her memoir's title Balancing rapid AI innovation with empathy, ethics, and inclusion of global voices in tech Guest bio: Dr. Marie-Ange Eyoum Tagne is a global technology executive, product strategist, and award-winning author whose 15+ year career spans Meta, Amazon, Yahoo, Roku, McAfee, and Intel. Her memoir, For Such a Time as This, chronicles her journey from Cameroon to Silicon Valley leadership. Timestamps: 00:00 — Cold open 00:47 — Welcome and guest introduction 01:02 — Redefining success: growing up in Cameroon 04:46 — Coming to the US with $15,000 and a dream 10:11 — Barriers at UC Berkeley and imposter syndrome 15:38 — Failing the prelim, and the professor who changed everything 17:25 — Becoming the first African woman to earn this PhD 20:19 — The courage to write a memoir 21:41 — The story of Esther and "for such a time as this" 29:43 — AI, speed, and the ethics gap in Silicon Valley 39:26 — Where to find Marie-Ange and her book Join the exclusive bonus episode with Marie-Ange on Patreon. Find Marie-Ange Eyoum Tagne at: LinkedIn: https://www.linkedin.com/in/marie-ange-eyoum-tagne/ Book, For Such a Time as This: https://www.amazon.com/dp/B0FDJDBGQG Website: https://www.forsuchatimebook.com/ Thinking about a life abroad? I use and recommend Expatsi to help navigate the move — https://www.expatsi.com/?ref=2kJ926HZ. As an affiliate, I may earn a small commission. Curious what Brava Global Advisory could do for your own leadership? Take the VOICE assessment to find your starting point: https://www.bravaglobaladvisory.com/voice Subscribe, leave a review at https://www.aworldofdifferencepodcast.com/reviews/new/, and share this episode. Visit https://www.aworldofdifferencepodcast.com for more resources. Learn more about your ad choices. Visit megaphone.fm/adchoices

In today's episode, we're joined by Brent Yorgey, Associate Professor of Computer Science at Hendrix College and the creator, among other things, of the Diagrams vector graphics library and Swarm, a 2D programming and resource gathering game. We talk about teaching, domain specific languages, and competitive coding.Episode links and transcript

The next three years should deliver what the last thirty did. That is John Lin's argument, and it is why he thinks the ground under founders has shifted. John Lin is the Founding Partner of Linea Ventures. Previously, he helped start F-Prime Capital's west coast tech practice and was also a Principal at Trinity Ventures. He has invested in 50+ companies, including Numeral, Squire, Branch, Side, Weights & Biases, Triumph and You.com. Prior to that he led Product and Engineering at Roomi and worked at McKinsey and Yelp. John graduated with degrees in Business and Computer Science from UC Berkeley. He joined Jeremy Au on why AI coding has made good engineers five to ten times more effective, why everything in AI is both overhyped and undervalued at once, and where value still accrues now that a model costing billions to train can be built for tens of millions. Then the part most founders have not priced in. A Series A used to mean $800K in revenue and a $40M round. Today it is closer to $3M and $70M, and by John's reading only 1 in 5 to 1 in 7 companies make the jump. Round to round survival has fallen from about half to somewhere between a third and a sixth. Plus how he picks: a $1B market, a path to 25x, companies between $1M and $10M in revenue, and the one question every founder has to answer. John's LinkedIn: https://www.linkedin.com/in/john-lin-39a18921/ Linea Ventures: https://lineavc.com/  Watch, listen or read the full insight at https://www.bravesea.com/blog/john-lin-ai-investing  BRAVE is Southeast Asia's leading tech podcast, hosted by Jeremy Au. Honest conversations with the region's top founders, investors, and operators on building startups in Southeast Asia. New episodes every week. Subscribe so you never miss one. Listen & Subscribe YouTube (English), YouTube (Bahasa Indonesia), Spotify (English), Spotify (Bahasa Indonesia), Spotify (Chinese), Spotify (Vietnamese), Apple Podcasts Follow BRAVE LinkedIn, X (Twitter), Instagram, TikTok, WhatsApp Follow Jeremy Au LinkedIn, X / Twitter, Instagram, TikTok, Facebook, Threads, Twitch Resources Get transcripts, startup resources & community discussions at www.bravesea.com #Singapore #TechPodcast #AIInvesting #SeriesA #SeedFunding #Startups #Founders #Fundraising #AIInfrastructure #VerticalAI #SiliconValley #EmergingManagers #SEAstartups #Malaysia #Indonesia #Philippines #Vietnam #Berkeley #Entrepreneurship  00:00 Introduction 00:43 From Berkeley to Trinity, F-Prime, and Linea Ventures 02:59 Is AI huge, or overhyped? 04:34 AI coding, and 30 years of innovation in 3 07:44 Where the economic value of AI will accrue 11:26 Overhyped, undervalued, and no longer defensible 13:10 How John picks: market, founder, inflection point 15:12 Case study: Numeral and US sales tax filing 18:08 Red flags, and how to validate an AI idea fast 20:26 Are billion dollar seed rounds the new normal? 24:41 A tale of two cities in startup funding 26:50 Only 1 in 5 to 1 in 7 reach Series A 30:04 Personal investing versus investing out of a fund 35:56 What a decade of reps teaches you

Our summer tradition at Here’s the Thing continues, as staff members choose their favorite conversations from the archives for our Summer Staff Pick series. This week, we revisit Alec’s conversation with Justine Bateman. In 2023, as the writers’ and actors' strike in Hollywood stretched into the fall, many have called this moment “existential.” After negotiations with AMPTP, the Alliance of Motion Picture and Television Producers, broke down, SAG-AFTRA and WGA members took to picket lines over dwindling wages and the use of artificial intelligence, which may change the entertainment industry forever. Writer, director, and producer Justine Bateman is one guild member warning of A.I.'s potentially devastating influence. Following her roles in Family Ties and Satisfaction, among many others, Bateman transitioned to working behind the scenes as a filmmaker and author. She earned her Computer Science and Digital Media Management degree from UCLA in 2016, which has become all the more relevant facing the rise of A.I. Bateman speaks with Alec Baldwin about the threat A.I. poses to the entire entertainment industry, how the business has changed since she first started in it, and what drives her creative work.See omnystudio.com/listener for privacy information.

Soren Johnson is an American programmer and game designer whose work has helped shape the modern strategy genre. After earning a master's degree in Computer Science from Stanford University, he joined Firaxis Games, where he worked as both a programmer and designer on Civilization III before going on to lead the design of Civilization IV, one of the most celebrated strategy games yet made.Over the years he has contributed to a wide range of projects, including Spore, Dragon Age Legends, and Offworld Trading Company, bringing a distinctive blend of historical insight, systemic thinking, and player-driven design. Today he is the founder and design director of Mohawk Games, where he recently led the development of the acclaimed historical strategy game Old World. Alongside his development work, he continues to explore the craft of game design through his long-running blog and podcast, both of which are titled “Designer Notes”.Soren Johnson – website & podcastSoren Johnson – Designer Notes blogDesigner Notes podcast – episode archiveDesigner Notes – Apple PodcastsDesigner Notes – SpotifyMohawk Games & Old WorldMohawk Games – official siteOld World – official pageOld World – SteamOld World – GOGOld World – Epic Games StoreOld World: Empires of the Indus DLC – Mohawk GamesSoren's Perfect ConsolePinball Construction Set (1983) – WikipediaM.U.L.E. (1983) – WikipediaSeven Cities of Gold (1984) – WikipediaLegacy of the Ancients (1987) – WikipediaSid Meier's Alpha Centauri (1999) – WikipediaOther games and references mentionedCivilization IV – WikipediaCivilization III – WikipediaSid Meier's Pirates! (2004 remake) – WikipediaCivilization Revolution – WikipediaOffworld Trading Company – SteamSpore (2008) – WikipediaBalatro – SteamVampire Survivors – SteamSchedule I – SteamLethal Company – SteamBennett Foddy – personal siteDanielle Bunten Berry – Wikipedia (designer of M.U.L.E.)Trip Hawkins – Wikipedia (founder of Electronic Arts)Jake Solomon – WikipediaGame Developers Conference (GDC) – official siteSimon's bookTrial of the Space Invaders – pre-order (Bookshop.org UK)Trial of the Space Invaders – pre-order (Amazon UK)Support the showMy Perfect Console – episode archiveSupport My Perfect Console on PatreonBecome a My Perfect Console supporter and receive a range of benefits at www.patreon.com/myperfectconsoleTake the Acast listener survey to help shape the show: My Perfect Console with Simon Parkin Survey 2025 Hosted on Acast. See acast.com/privacy for more information.

This episode is a compilation of answers to YOUR questions that were asked directly from my listeners who attend my weekly business education YouTube live webcast. I'll be covering the topic on: Crypto & government surveillance, Free AI Resume Class, leveraged ETFs and more. Refer to chapter marks below for a complete list of topics covered and to jump to a specific section. Get mentored by Chris: Book a Zoom call to discuss joining my Business Academy, Finance Bootcamp (to get a job in finance) or MBA Degree Programs or for investing/business/personal development coaching: https://haroun.short.gy/1on1CallYTWDownload my free "Networking eBook": www.harouneducation.comAttend my weekly YouTube Live every Thursday's 8am-11am PT. Subscribe to my YouTube Channel to receive notifications. Chapter Marks: 0:25 Welcome to Webcast #375 0:33 Free AI Resume Class 3:50 Crypto & government surveillance 6:08 UK economy concerns 7:05 Will AI eliminate Adobe? 8:45 Why prop up the yen? 9:18 Are we in a debt crisis? 11:14 BRICS currency impact 11:53 Sales vs. finance career 14:23 Trump and term limits 15:34 Can European companies survive? 16:13 GPUs & data centers 17:23 Can Nvidia keep rising? 19:43 Leveraged ETFs 26:16 Tetris movie 28:26 Accountants as jack-of-all-trades 29:16 Modeling Nvidia returns 30:08 How to fix Japan 32:28 How to become a quant 34:10 Do quants need programming? 36:26 Is China moving toward democracy? 37:38 MS in Computer Science vs. MBA 39:23 Modeling a country's debt 43:48 Closed-source AI models 45:30 Best finance career path 46:41 Are young people embracing socialism? 48:42 Staying consistent with videos 50:27 How market makers work 52:16 China's impact on the global economy Connect with me: Schedule a 1:1 call with Chris: https://haroun.short.gy/1on1CallYTWYouTube: ChrisHarounVenturesCompleteBusinessEducationInstagram @chrisharounLinkedIn: Chris HarounTwitter: @chris_harounFacebook: Haroun Education Ventures  TikTok: @chrisharoun

Women have played a major role at the National Security Agency as technology innovators, contributing to the Nation's security. Eileen Buckholtz recounts their contributions with a series of 29 profiles of former colleagues, mentors and co-workers. She was one of the first women to graduate with a degree in Computer Science in 1969 and had a 30 year career at the Agency.

This week on Taking Stock, Susan explores the growing narrative around the 'dead internet' theory with Professor Barry O'Sullivan from the School of Computer Science and IT and University College Cork. Co-Founder, Chief partnerships and Policy Office at Circular Intelligence Mary Teehan joined Susan to discuss if the circular economy is more than just an environmental idea. Plus, what happened to the promise of blockchain? Paul Hearns, Executive Director of Blockchain Ireland joined the show to discuss what blockchain really achieved.

A study shows that AI chatbots often engage in sycophantic behavior. Just like some humans. This hour, we take a look at sycophants in literature and in politics. And we talk about sycophancy and artificial intelligence. GUESTS: Mark Parker: Professor Emeritus of English at James Madison University and co-author of Sucking Up: A Brief Consideration of Sycophancy Virginia Heffernan: Writes a regular column for The New Republic and the Substack “Magic + Loss.” She is co-host of the podcast “Omnishambles” Malihe Alikhani: Assistant Professor at Northeastern University’s Khoury College of Computer Sciences, and a resident Visiting Fellow at the Brookings Institution with a focus on AI policy Music featured (in order): Overture to Rigoletto – Giuseppi Verdi, Herbert von Karajan, Berlin Philharmoniker I Believe in You – Peggy Lee Don’t Cry – Seal You Fascinate Me So – Mabel Mercer What You Want To Hear – Sub-Radio Flattery – Rosemary Clooney, Jose Ferrer The Colin McEnroe Show is available as a podcast on Apple Podcasts, Spotify, Amazon Music, TuneIn, Listen Notes, or wherever you get your podcasts. Subscribe and never miss an episode! Subscribe to The Noseletter, an email compendium of merriment, secrets, and ancient wisdom brought to you by The Colin McEnroe Show. Join the conversation on Facebook and Twitter. Colin McEnroe and Dylan Reyes contributed to this show, which originally aired on April 8, 2026.Support the show: http://www.wnpr.org/donateSee omnystudio.com/listener for privacy information.

Dr. Roman Yampolskiy is an Associate Professor of Computer Science at the University of Louisville, where he has spent over a decade researching AI safety, superintelligent systems, and artificial general intelligence. He is widely credited with coining the term "AI safety" in a 2011 academic publication and is listed among the top 2% of most-cited researchers in the world. He is the author of AI: Unexplainable, Unpredictable, Uncontrollable (2024), a book that lays out his case for why advanced AI systems cannot, by definition, be brought under lasting human control. He is a signatory of open letters calling for government regulation of AI development on par with nuclear weapons. Support my guest: www.romanyampolskiy.com youtube.com/c/RomanYampolskiy Learn more about your ad choices. Visit megaphone.fm/adchoices

Does moving faster with AI mean you get to skip the laws that governed every software project before it? Milan Milanovic argues the opposite, the old laws of software engineering now apply twice as hard.In this episode, Milan Milanovic, CTO and author of Laws of Software Engineering, returns to unpack why the laws that have quietly governed software projects for decades are more relevant than ever in the AI era. He walks through Gall's Law and why AI lets teams generate complex systems on unvalidated assumptions faster than ever, Conway's Law and how it now runs twice, shaping both human organizations and agent topologies, and Goodhart's Law and the trap of “tokenmaxxing” as a metric. Milan also covers Hofstadter's Law and the 90-90 rule, explaining why the last 10% of a project still takes as long with AI in the loop, and the Dunning-Kruger effect, where vibe coders overestimate their skills while senior engineers underestimate theirs. The conversation closes with his advice for juniors entering the field, his top five must-read books, and how he personally uses AI for research and planning rather than implementation.Key topics discussed:Gall's Law: the trap of generating complex systems with AIConway's Law now runs twice, on humans and on AI agent topologyWhy software architects should help design your org chartGoodhart's Law and the danger of “tokenmaxxing” as a metricThe 90-90 rule: why AI's last 10% still costs half the projectDunning-Kruger effect on vibe coders and expertsWhy less code beats more, even with AI writing it for freeTimestamps:(00:00) Trailer & Intro(03:02) What Inspired Milan to Write Laws of Software Engineering?(05:32) How Did a Book on Software Laws Reach Such a Global Audience?(06:49) How Should You Read the Laws of Software Engineering Book?(08:51) Why Does the Book Cover People and Planning, Not Just Technical Laws?(11:07) What Is Gall's Law in Software Engineering?(14:46) How Can You Apply Gall's Law When Using AI?(17:34) What Is Conway's Law in Software Engineering?(19:34) How Should Big Corporations Build New Products Without Structural Reorganization?(21:26) How Does Conway's Law Apply to Small AI-Powered Product Teams?(23:25) What Is Goodhart's Law in Software Engineering?(25:52) What Are the Best Examples of Counterbalance Metrics for Leaders Today?(28:06) What Kind of Outcomes Should You Actually Measure?(31:01) What Is Hofstadter's Law in Software Engineering?(33:35) How Does Hofstadter's Law Apply in the Age of AI?(36:41) What Is the Dunning-Kruger Effect?(40:10) How Does the Dunning-Kruger Effect Apply to Experienced Engineers Learning AI?(42:46) Are Any of These Laws Becoming Less Relevant Because of AI?(44:32) What Does the Lindy Effect Say About the Fate of Software Developers?(47:49) What Is the Best Career Advice for Junior Developers Entering the AI Landscape?(50:34) What Are the Top Five Must-Read Books for Software Engineers?(55:46) How Can Software Engineers Apply These Laws in Their Daily Work?(57:26) 3 Tech Lead Wisdom_____Milan Milanovic's BioMilan Milanović is the CTO and the author of Laws of Software Engineering. He holds a PhD in Computer Science, has more than 20 years of experience across .NET, Azure, and mobile development, and is a Microsoft MVP. He runs Tech World With Milan, a software engineering newsletter and community followed by more than 400,000 engineers. He writes about architecture, engineering leadership, and how AI is changing the way software gets built.Follow Milan:LinkedIn – linkedin.com/in/milanmilanovicTwitter / X – @milan_milanovicPersonal website – milan.milanovic.org Book's website - lawsofsoftwareengineering.com Newsletter - newsletter.techworld-with-milan.comLike this episode?Show notes & transcript: techleadjournal.dev/episodes/266.Follow @techleadjournal on LinkedIn and Instagram.Buy me a coffee or become a patron.

In this episode of Teaching Python, Kelly and Julian welcome IBM Distinguished Engineer Jeff Crume to talk about teaching hard things simply. The conversation begins with Jeff's short, visually driven videos and the studio setup behind them, including the lightboard format, the editing process, and the amount of planning needed to turn a 15-minute explanation into something clear and usable. They then turn to the challenge of explaining complex ideas in a way that fits the audience. Jeff describes how he chooses topics from his work with clients, why he thinks teaching deepens his own understanding, and how he adapts for YouTube, classrooms, and conference talks. He emphasizes brevity, structure, and using visuals so viewers are not faced with a talking head and a blank background. A major part of the discussion focuses on AI, the humanities, and education. Jeff explains why he believes the humanities are essential for understanding meaning, purpose, truth, and context, and why those questions matter when using AI. He argues that AI should be treated as a tool to augment learning rather than something to exclude from classrooms. The conversation also covers cybersecurity and practical AI risks. Jeff discusses passwords versus passkeys, phishing, public chatbots, data privacy, cloud services, and the security concerns around agents and connected tools. He argues for private instances, stronger security practices, and doing security earlier in the process. Near the end, Jeff highlights communication, curiosity, and critical thinking as key skills for students. He also points listeners to IBM SkillsBuild and Coursera for training, and closes by encouraging lifelong learning in a fast-changing field.Special Guest: Jeff Crume.

We discussed a few things including: 1. His career journey  2. CoreWeave's trajectory 3. AI ecosystem/timeline 4. AI trends, opps and challenges  5. Outlook for 2026-2027 Corey is the Senior Vice President of Product at CoreWeave. In this role. Corey runs the product team focused on the Core AI Cloud, building out infrastructure and platform services for future growth and customer success. Corey resides with his family in New Jersey, working from the CoreWeave headquarters in Livingston. Prior to this role, Corey was the Corporate Vice President for Microsoft Cloud for Industry, developing tailored industry solutions at Microsoft as they transform into successful digital businesses. Previously, he led Microsoft Commercial Solution Areas, owning sales strategy and corporate technical sales across Solution Areas and Teams that include Digital Application Innovation, Azure Infrastructure & IoT, Azure Data & AI, Business Applications, Security and Modern Workplace. His focus also included selling the full value of Microsoft cross-cloud solutions and advancing the technical depth of the Microsoft Solutions team. Earlier, Corey was Head of Product for Azure Compute and the founder of Microsoft Azure's infrastructure as a service (IaaS) business. During that time, he was responsible for products, strategy and technical vision aligned to core Azure compute services. He also previously led program management for multiple Azure services. Earlier in his career, Corey was a developer in the Windows Serviceability team with ownership across the networking and kernel stack for Windows. In his first role at Microsoft in 2003, Corey served as an intern on the Windows team, after graduating from Princeton University, where he earned his Bachelor S.E. in Computer Science. #podcast #AFewThingsPodcast

Today's Guests: Dr. Karen Swallow Prior - Author and co-editor Alan Noble - Associate Professor of English, co-founder and editor-in-chief of Christ and Pop Culture, advisor for the (&)Campaign, and author Dr. Derek Schuurman - Professor of Computer Science and author/co-authorSee omnystudio.com/listener for privacy information.

AP's Lisa Dwyer reports that College computer science majors are down. AI for everyone else is up.

Why AI is advancing faster than most people realize The truth about choosing a college major today Which careers may be most vulnerable to AI Why human skills matter more than ever How students can become future-ready The importance of AI literacy for every family Opportunities for students interested in AI research

95% of enterprise IT leaders plan to launch agentic AI projects — but 69% aren't ready. So, what's standing in the way?  In this episode of Scaling AI in the Enterprise, we bring together an expert panel to tackle the real engineering and organizational challenges of AI deployments: the probabilistic nature of AI agents, the limits of traditional testing, and why "making your prompt stronger" is not a strategy.  Host: Eric Knipp, SVP and GM, Cisco Customer Experience (CX) Americas  Guests:   Bhaskar Jayakrishnan, SVP of Engineering, Cisco Customer Experience (CX)  Dr. Lydia Chilton, Associate Professor of Computer Science, Columbia University  Sam Charrington, Host of the TWIML AI Podcast  Srini Namineni, SVP and Chief Automation Officer, Cisco  Learn more about Cisco Customer Experience: read our blogs and visit Cisco.com

Today, I am joined by Steve Fenster the founder and president of NJveg, and is now a full-time volunteer.  He holds degrees in Biology, Business Administration, and Computer Science from Rutgers University, and worked as a systems engineer.  Steve has been vegan for 16 years and was vegetarian for 7 years prior.  He is a lifelong New Jersey resident, and has lived in the northern, central, and (currently) southern portions of the state. NJveg is an all-volunteer nonprofit dedicated to educating the public on the benefits of a plant-based life while providing support, volunteer opportunities, and social events throughout New Jersey. Steve takes us through why he created NJveg, shares his vegan journey, we talk community, and more!To connect with Steve and NJveg:Website: https://NJveg.orgEvent Calendar:  https://njveg.org/event-calendar/Mailing List:  http://eepurl.com/dwk3hHInstagram:  https://www.instagram.com/vegnj/Facebook Page:  https://www.facebook.com/NJveg/Facebook Group:  https://facebook.com/groups/vegnj/Pinterest:  https://pinterest.com/vegnj/TikTok:  https://www.tiktok.com/@vegnjMeetup: https://www.meetup.com/njveg-meetup-group/Email:  NJveg.org@gmail.comText:  609-557-7077Mentioned in this episode:Goats of Anarchy: https://www.goatsofanarchy.org/Ethos Farm to Health (Steve and I met as vendors at Ethos Farm Days): https://www.ethosfarmtohealth.org/Physicians Committee for Responsible Medicine (PCRM): https://www.pcrm.org/PETA: https://www.peta.org/front/Phoenixville, PA VegFest: https://www.facebook.com/PhoenixvilleVegFest/To connect with me:Follow me on Facebook and Instagram @didyoubringthehummusDYBTH merch now available! Check out the shop here: https://did-you-bring-the-hummus.myspreadshop.comFor more info on my Public Speaking 101 program: ⁠https://www.didyoubringthehummus.com/publicspeakingforactivists⁠Contact me here or send me an email at info@didyoubringthehummus.comSign up for meditation sessions hereSign up for The Vegan Voyage, to sponsor the podcast, book meditations packages, or sign up for my Public Speaking program hereJoin my Podcast Fan Facebook Group: https://www.facebook.com/groups/didyoubringthehummus/To be a guest on the podcast: https://www.didyoubringthehummus.com/beaguest©2026 Kimberly Winters - Did You Bring the Hummus LLCTheme Song ©2020 JP Winters ⁠@musicbyjpw⁠

Heather McCalleyMS, College of Arts and Sciences, 2011CERT, College of Arts and Sciences, 2011More InformationYellowhammer News - UAB forensics team DarkTower leaves criminals with nowhere to hideDarkTower - homepageLinkedIn - Heather McCalleyLinkedIn - International Women's Day post (Gary Warner)

Before the internet could become a place to bank or transact, it needed a way for strangers to know who they were talking to, and whether a message could be trusted. Turing Award winners Ron Rivest, Adi Shamir, and Leonard Adleman helped invent it. In this episode of First Principles, Rivest tells the story of how they developed RSA, the first practical public-key cryptosystem. Their breakthrough made it possible to encrypt information, verify identities, and authenticate messages across an open network without requiring participants to meet or exchange a secret in advance — laying essential groundwork for the secure internet and, decades later, blockchains. Rivest joins Tim Roughgarden, Head of Research at a16z crypto and Professor of Computer Science at Columbia University, and Dan Boneh — Professor of Computer Science at Stanford University, a16z crypto Senior Research Advisor, and the “B” in BLS signatures — for a conversation about the origins and future of modern cryptography. They trace the field from its early days, when most cryptographic research was classified and even the meaning of “security” had not been formally defined, through the publication of the Diffie-Hellman paper and the open problem that ultimately led to RSA. Rivest recounts the night the core idea came together, why the difficulty of factoring made the system plausible, and why no one initially knew whether it would survive sustained attempts to break it. The conversation also explores the other cryptographic primitives that underpin blockchains and the modern internet. Rivest explains why digital signatures interested him even more than encryption, how he designed the MD family of cryptographic hash functions, and why standards such as RSA, DSA, and SHA were shaped as much by politics, patents, and government pressure as by mathematics. Finally, Rivest shares his unusually candid views on quantum computing, post-quantum security, and the deeper theoretical possibility that P could equal NP. Either development could threaten the foundations of modern cryptography — but, as Rivest argues, cryptographers have a responsibility to prepare for even the worst-case scenarios. Highlights 00:00 – Intro: the two problems that could break modern cryptography 01:10 – Why Ron Rivest's work underpins the internet and blockchains 08:10 – Before public-key cryptography, there was no theory of security 11:05 – The open problem that led to RSA 13:55 – The night Ron Rivest discovered the core idea behind RSA 17:55 – Why digital signatures were the real breakthrough 19:14 – The RSA challenge — and a prediction that was off by quadrillions of years 28:33 – How government pressure shaped cryptographic standards 30:36 – Designing the hash functions that made digital signatures practical 33:26 – The Fiat–Shamir transformation, explained 38:04 – Building a cryptography company before the web existed 42:31 – Will quantum computers ever become powerful enough to break RSA? 48:02 – The cryptography securing the internet, elections, and everyday life 50:11 – What surprised Dan: Quantum giveth and quantum taketh away About First Principles First Principles is a special limited series from a16z crypto about the scientific roots of modern computing — especially blockchains — told through rare conversations with the pioneers who helped shape the foundational ideas behind distributed systems, consensus protocols, economics, mechanism design, cryptography, zero knowledge, and more. People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere. But the ideas behind Bitcoin — and blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography. First Principles is a guide to that lineage, as told by the people who helped build it. Subscribe to follow along: https://www.youtube.com/playlist?list=PLjQ9HCQMu_8yIg60YAq67HDdvp7E_T5e8 Hear more from: Ron Rivest: https://people.csail.mit.edu/rivest/ Tim Roughgarden: https://twitter.com/Tim_Roughgarden Dan Boneh: https://twitter.com/danboneh Follow a16z crypto: X: https://twitter.com/a16zcrypto LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/ YouTube: https://www.youtube.com/@a16zcrypto Substack: https://a16zcrypto.substack.com/subscribe/ As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Barry O'Sullivan, Professor at the School of Computer Science at University College Cork, discusses one of Open AI's advanced systems going rogue and hacking a start-up tech firm.

For as far as we've come with AI and robotics, there's still a huge gap when it comes to combining the two. AI excels in the digital space, and in the physical world, robots are often pre-programmed. That's where physical AI comes in. It's critical for things that can't tolerate the kinds of mistakes that are common in today's statistics based AI, like self driving cars or managing the power grid. In the latest installment of our oral history project, we meet a central figure in these efforts, MIT's Daniela Rus.We Meet:  Daniela Rus is the Director of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Andrew and Erna Viterbi Professor in the Department of Electrical Engineering and Computer Science.Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

For most enterprises, autonomous AI agents still feel like a risk waiting to happen. Andi Gutmans, Vice President and General Manager for Data Cloud at Google, joins Cindi Howson to explain what it takes to build the data foundation that trustworthy agentic AI depends on. He breaks down how organizations can finally activate the 90 percent of enterprise data that's unstructured, why tokenmaxxing is the wrong way to measure AI value, and how open standards like Apache Iceberg are helping leaders tear down fragmented, multi-cloud data silos and unify data across clouds. Key Moments: Perception vs. Reality in Trusting Autonomous AI (03:55): Waymo is safer than a human driver by the numbers, but most people still choose Uber. Andi explains why closing that trust gap takes time. Activating the 90% of Unstructured Data (09:40): Most enterprise data sits in images, PDFs, and contracts, never touched by traditional analytics. Andi explains how AI finally makes that dark data usable. Crawl, Walk, Run: Scaling Autonomous Agents in Production (16:37): Virgin Voyages cut weather disruption rebooking from six hours to eleven minutes with autonomous agents. Andi explains the thresholds that made scaling safe. Token Efficiency Over Tokenmaxxing (19:54): Andi pushes back on tokenmaxxing as a measure of progress. Real success means the best outcome with the fewest tokens and the cheapest model for the job. Breaking Down Data Silos with a Borderless, Open Lakehouse (27:01): Most enterprises run on a messy mix of multiple clouds. Andi explains how open standards like Apache Iceberg tear down those walls. Key Quotes: “Over ninety percent of enterprise data is actually unstructured data... AI is really good at reasoning around this unstructured data, and so we can make a hundred percent of the data state light up.” - Andi Gutmans “If you take a Waymo, you're actually eighty percent less likely to get into a hurtful accident than if you take a service with a human driver. Still, most people prefer to take the Uber versus the Waymo…  It's going to take time to earn the trust to understand what quality outcomes we can drive.” - Andi Gutmans “ The way we're thinking about the data platform is the best context is the context that drives the outcomes you need with the least amount of tokens and processing.” - Andi Gutmans Mentions Blue Ocean Strategy by W. Chan Kim and Renée Mauborgne Virgin Voyages case study (Google Cloud) Vodafone, Google Cloud and TM Forum Unveil Framework for Self-Optimising Autonomous Networks Guest Bio Andi Gutmans is the General Manager and Vice President for Data Cloud at Google, which includes operational databases, analytical data platforms, open lakehouse technologies, and  Business Intelligence. His core focus involves building, managing, and scaling highly innovative data services to deliver a leading AI-native data platform for businesses. Before joining Google Cloud, Gutmans was VP Analytics at AWS, where he managed services such as Amazon Redshift, AWS Glue, and Amazon EMR. Prior to that, he co-founded and served as CEO of Zend Technologies, a company built around the open-source PHP language, of which he was a co-creator. Andi Gutmans is a highly experienced leader with over 20 years dedicated to open source contributions. He is particularly renowned as a co-creator of the open-source PHP language, which has become one of the most widely used languages for web development. He is an emeritus member of the Apache Software Foundation and served on the Eclipse Foundation's board of directors. Gutmans holds a bachelor's degree in Computer Science from the Technion, Israel Institute of Technology. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Dr. Mohsen Ghasempour, Chief AI Officer at Kingfisher, unpacks why the most dangerous thing a company can do with customer data is use all of it. He explains how a global, multi-brand retailer can draw the line between personalization that feels helpful and personalization that feels like surveillance. He also discusses why AI success is ultimately an execution problem rather than a technology problem. Key Takeaways:  What the "comfort test" is and how Kingfisher uses it to decide whether a personalization decision has gone too far How global retailers are resolving the tension between centralized AI infrastructure and brand-level autonomy Why legal and compliance teams are now embedded in AI development from the start What it will look like when AI stops being a distraction and starts being invisible infrastructure Guest Bio: Dr. Mohsen Ghasempour is a distinguished expert in the field of artificial intelligence (AI) with a solid academic foundation, holding a PhD in Computer Science. Currently, Mohsen serves as the Chief AI Officer at Kingfisher, where his leadership contributes to the advancement of artificial intelligence and machine learning technologies within the organisation. With over 15 years of experience as an accomplished data scientist and visionary leader, Mohsen has consistently harnessed the power of data to drive strategic decision-making. Prior to his role at Kingfisher, he held pivotal positions in leading technology and retail organisations, including The Hut Group (THG) and Shop Direct. In these roles, he spearheaded cross-functional teams to implement cutting-edge Machine Learning and AI solutions, resulting in measurable and transformative outcomes. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Tomas Reimers, Co-Founder & CPO @ Graphite, reveals his journey to becoming a founder and some of the major moments from Graphite's product development story. He dissects frameworks for determining when it's time to quit your full-time job to pursue becoming a founder and analyzing the costs vs. benefits of that decision. We cover how to decide what customer problems to solve, understanding how software development trends impact what you're building, and product market fit and selling considerations. Lastly, Tomas shares valuable strategies when it comes to selling to developers.   ABOUT TOMAS REIMERS Tomas Reimers is the CPO and co-founder of Graphite, the a16z and Anthropic-backed AI code review platform that Cursor acquired in December 2025. Previously, he was an engineer at Facebook. Passionate about advancing developer velocity, Tomas holds a BS in Computer Science from Harvard University.   SHOW NOTES: The origin story behind Graphite (1:05) Signs that it's time to quit your job / found a company (4:03) How Tomas & his co-founders knew it was time to break up with their jobs (5:40) Understand what leaving your job will mean career-growth wise (7:33) Embracing regret minimization (9:28) Pros & cons of developing in blue ocean vs. red ocean areas as a founder (11:49) Strategies for determining what software to build / how is software dev evolving (14:00) Tomas's framework for determining bets (15:50) Recommendations for selling as a founder (17:52) Identifying if sales isn't working or if product market fit is off (20:35) Using customer insights to experiment & make a PMF pivot (23:05) Why developers don't want to be sold to, they want to be taught (24:42) How to apply teaching vs. selling into early GTM strategy (27:20) Utilizing demonstrations to gain developer buy in & trust (29:24) What Tomas is looking forward to in Graphite's future / software dev in general (32:04) Rapid fire questions (33:34)   LINKS AND RESOURCES The Mom Test - Rob Fitzpatrick's quick, practical guide that will save you time, money, and heartbreak. Founding Sales - The Startup Sales Handbook - rhe distillation of Pete Kazanjy's experience at his first software startup, TalentBin going from a founder with a product marketing and product management background to early sales guy, early sales manager, and eventual post-acquisition sales leader at Monster Worldwide in addition to his later experience founding Modern Sales, the nation's largest sales operations, enablement, and leadership community. Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts - Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. This episode wouldn't have been possible without the help of our incredible production team: Patrick Gallagher - Producer & Co-Host Jerry Li - Co-Host Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/ Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/ Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Dave and Jamison answer these questions: I stayed too long at my first company and now my career is ruined? Hi both, long time listener. (Since I graduated university 4 years ago actually and felt I could never find a job but listening to you guys made me feel not like such an outcast in our field.) I graduated in 2022. Didn't really apply around much and almost immediately accepted the full time offer from the company I did my internship with during my degree. And fast forward to middle of 2026… I am still here. I've long stopped growing as an engineer and have actually been stuck on a simple CLI tool for almost 4 years now with little to no cloud/backend/etcetera experience to show in my 5 year career. I don't feel I am desirable in the job market at all due to this and waited way too long to look for a job because I was comfortable and happy. I feel paralyzed (no need to put on your space therapist hats BUT some career advice would be wonderful!) (Also did I mention I am in Canada and want to move to Europe and live the rest of my life there but visa sponsorship with my level of experience is impossible? Maybe that'll be for my next question…) Thanks for all you do, cheers! I have a non-CS engineering degree, and am looking to transition into Software Engineering. I have the option of pursuing a degree with Tuition Reimbursement from my job, but am in a bit of a strange situation deciding which degree. Basically, I've figured that with my current Engineering background I could pursue either a second Bachelor's degree through Universities offering a “Post-Baccalaureate” program in Computer Science, or a Master's degree, with maybe only a slightly longer program to get the Master's as opposed to the Bachelor's. Otherwise the total length/cost of the programs would be roughly the same. I have heard though that it might not be a great idea to go into a Master's program unless you know what specifically you want to study. I am curious what you think would be more “hire-able” between the two options for someone pursuing the career change into Software Engineering?

Scientific Sense ® by Gill Eapen: Prof. Scott Aaronson is professor of Computer Sciences at the University of Texas, Austin. His research interests include the capabilities and limits of quantum computers and Computational complexity theory Please subscribe to this channel:https://www.youtube.com/c/ScientificSense?sub_confirmation=1

Arvind Jain is the Founder & CEO of Glean, the enterprise AI leader valued at $7.2 billion after raising more than $770 million from investors including Kleiner Perkins, DST Global, and more. Before Glean, Arvind co-founded Rubrik, helping build it into one of the world's leading cloud infrastructure companies before its successful IPO. Prior to that, he spent over a decade at Google as a Distinguished Engineer, working across Search, Maps, and YouTube. AGENDA: 00:00 – The Shocking Truth About Frontier AI: 90% Is Already a Commodity 02:04 – Can OpenAI & Anthropic Own Enterprise AI? The Battle for the Workplace Begins 10:18 – Will OpenAI and Anthropic Win the App Layer 18:03 – Microsoft Is the Real Enemy… Not OpenAI? 20:53 – "Where's the ROI?" Why Enterprises Are Starting to Question the AI Hype 26:00 – Will AI Replace Your Job? Harry & Arvind's Heated Clash Over the Future of Work 33:43 – The Billion-Dollar Mistake Every AI Company Is Making on Token Spend 39:20 – The AI Land Grab Is On: Why Founders Must Move Now or Lose Forever 42:20 – China vs America: Who Really Wins the AI Race? 47:20 – Rapid Fire: The Future of Computer Science, Hiring, Fundraising & AI's Biggest Winners  

We're excited to share a special feed drop from The a16z Crypto Show. In the first episode of First Principles: The Scientific Roots of Blockchain Technology, Tim Roughgarden and Ittai Abraham trace the decades of computer science research that laid the foundation for modern blockchains. Long before Bitcoin, researchers were studying one of distributed computing's hardest challenges: how independent machines can reliably agree on a shared state, even when some participants are faulty or malicious. Bitcoin didn't invent that problem, but it introduced a breakthrough solution in a radically different, permissionless setting. The conversation explores Byzantine agreement, state machine replication, proof of work, proof of stake, Tendermint, Casper, DAG-based protocols, and why concepts developed decades ago continue to shape the design of today's fastest and most secure blockchain networks.   Resources: Follow Tim Roughgarden on X: https://x.com/Tim_Roughgarden Follow Ittai Abraham on X: https://x.com/ittaia Follow a16z Crypto on X: https://x.com/a16zcrypto Subscribe to The a16z Crypto Show: https://a16zcrypto.substack.com/subscribe/ 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.

Andrew Moore, CEO of Lovelace, former head of Google Cloud AI, and former dean of Carnegie Mellon's School of Computer Science, joins the podcast to discuss YottaGraph, a knowledge graph growing by a billion facts a week that serves as a context engine for enterprise AI agents. He explains why fully automatic knowledge graph construction is the only viable path at scale, why entity resolution remains a brutal engineering problem, and how graph theory tricks make million-node queries answerable in under a second.Subscribe to the Gradient Flow Newsletter