Podcasts about autonomous

In this episode, Navaneeth Nair, Chief Product Officer at Infinx unpacks insights from a real conversation with a healthcare organization exploring AI for revenue cycle operations. While the discussion starts in accounts receivable, it quickly reveals why only fully autonomous AI agents, not assistive automation, can deliver meaningful impact across the entire revenue cycle.

The full version of this episode (2 Hours & Ad-free) is available for Silk+ Members (FREE for a limited time!) and includes access to 600 more episodes from these podcasts: Sleep Whispers (430+ episodes) Calm History (100+ episodes) ASMR Sleep Station (50+ episodes) 1 & 8-Hour Nature Sounds (50+ episodes) 1 & 8-Hour Background Sounds (30 episodes) History Showcase (25+ episodes) Extended … Continue reading *Sample* | 2-Hours of Trivia Time #4: 120+ Questions & Answers (Bonus Episode #115)

Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Try MasterClass (up to 50% off with this link): https://masterclass.com/SLEEPWHISPERS Become a Silk+ Member (FREE for a limited time!) and enjoy over 600 total episodes from these podcasts: … Continue reading Story Time | “The Dummy Who Lived” by L. Frank Baum (A153) | Whispered Bedtime Sleep Stories

New infrastructure primitives are creating entirely new rails for building.In this episode of Big Ideas 2026, we explore three foundational shifts that unlock new markets and workflows, not through incremental upgrades, but through primitives that compound over time.First, programmable money evolves beyond stablecoins into on-chain credit origination and synthetic financial products, offering lower operational costs and greater composability than traditional finance. Second, autonomy begins entering scientific research through collaborative labs, where AI reasoning models work alongside automation and robotics, and interpretability becomes essential for progress. Third, distribution itself becomes a primitive, as AI-native startups win early by selling to other startups at formation, then scale alongside the next generation of companies.You will hear from Guy Willette on the next phase of on-chain finance, Oliver Shu on autonomous labs and AI-assisted discovery, and James da Costa on the greenfield go-to-market strategy.Together, these ideas define what new infrastructure primitives really mean: the rails that enable entirely new systems to emerge, compound, and scale. Resources:Read more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/Crypto Big Ideas: https://a16zcrypto.com/posts/article/big-ideas-things-excited-about-crypto-2026/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease 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. Stay Updated:Find 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.

What if a personal tragedy sparked you to change your life plan, and the world? Can someone build the next Tesla like company, but better. In this episode of Entrepreneurial Thinkers, Rob crosses the Atlantic, from Los Angeles to Lagos, Nigeria, to talk with Frederick Akpoghene, Founder and CEO of JéGO Technologies, to explore how his journey through tragic loss led him to tackle one of Africa's biggest challenges: reliable energy. Together, they unpack the rise of renewable power in Nigeria, the emerging electric-vehicle movement, Autonomous driving, and the innovative energy solutions JéGO is building to electrify enterprises and communities across the continent. Frederick also shares his hard-won lessons on resilience, resourcefulness, and what it really takes to build something world-changing.Feel free to follow and engage with FREDERICK here:LinkedIn: https://www.linkedin.com/in/frederick-a-kevbe/Instagram: https://www.instagram.com/abovav_mind/Business Instagram: https://www.instagram.com/jegotechnologiesBusiness LinkedIn: https://www.linkedin.com/company/jego-technologies-inc/Website: https://www.jegopods.com/We're so grateful to you, our growing audience of entrepreneurs, investors and community leaders interested in the human stories of the Entrepreneurial Thinkers behind entrepreneurial economies worldwide.As always we hope you enjoy each episode and Like, Follow, Subscribe or share with your friends. You can find our shows here, and our new Video Podcast, at “Entrepreneurial Thinkers” channel on YouTube. Plug in, relax and enjoy inspiring, educational and empowering conversations between Rob and our guests.¡Cheers y gracias!,Entrepreneurial Thinkers Team.Chapters00:00 Introduction to Entrepreneurial Thinkers04:31 The Vision Behind Jego Technologies10:14 Personal Journey and Purpose12:44 The Impact of Loss on Innovation16:34 Energy and Economic Empowerment22:35 Leapfrogging Technology in Africa31:58 Navigating Energy Challenges in Nigeria35:09 Modular Energy Solutions and Jego X Stations38:57 Building Infrastructure for Electric Vehicles43:58 Commercializing Energy Solutions49:01 The Future of Energy and EVs in Nigeria53:55 Investor Perspectives and Market Opportunities01:00:37 Entrepreneurship and Product Market Fit01:04:53 Building a Sustainable Energy Future01:08:47 The Role of China in Nigeria's EV Market01:19:08 Empowering the Next Generation of Innovators

In this episode of SpaceTime, we explore significant advancements in space exploration and innovative scientific projects.Perseverance Rover's New JourneyAfter nearly five years on Mars, NASA's Perseverance Rover is on the move again, heading to a new site on the rim of Jezero Crater named Lac du Charm. Having traversed over 40 kilometres and collected vital rock core samples, the rover is undergoing extensive evaluations to ensure its longevity, with engineers confident it can operate until at least 2031. We discuss the rover's advanced autonomous driving capabilities and its mission to uncover signs of past microbial life.Fashion Meets Science: Microbial FabricsA groundbreaking project is set to merge fashion and science by sending specially designed fabrics made from bacteria into space. These innovative materials will change colour in response to radiation exposure, potentially protecting astronauts from harmful levels of UV radiation and offering new applications for skin cancer prevention on Earth. Lead researcher Giles Ballet shares insights into how this technology could revolutionise both space exploration and everyday fashion.Expedition 73 Crew ReturnsThe Expedition 73 astronauts have safely returned to Earth after an eight-month mission aboard the International Space Station. Their journey has contributed to over 250 experiments, including advancements in bioprinting and remote robotic operations. We also discuss the implications of recent challenges faced by Russia's manned space program.www.spacetimewithstuartgary.com✍️ Episode ReferencesJournal of ScienceNASA ReportsNature CommunicationsBecome a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-your-guide-to-space-astronomy--2458531/support.(00:00:00) This is Space Time Series 28, Episode 151 for broadcast on 24 December 2025(00:00:47) NASA's Perseverance Rover begins a new journey on Mars(00:12:30) Innovative microbial fabrics set to be tested in space(00:19:15) Expedition 73 crew returns safely to Earth after eight months in orbit(00:24:05) New study suggests humans have been using fire for 400,000 years(00:27:30) Technology tips for buying the right printer for your needs

The "scripted bot" era is over. As we head into 2026, the industry is moving toward Agentic AI autonomous systems that don't just alert you to problems, but reason through solutions. This episode breaks down why AI Agents are the new essential teammates in DevSecOps. We explore how these intelligent entities manage the "Shift Left" and "Shift Right" movements, making context-aware decisions that human developers and security analysts simply don't have the bandwidth for.

Artificial Intelligence is advancing by leaps and bounds and its impact is being felt virtually everywhere. Autonomous vehicles will one day be the norm, which is requiring car insurance companies to rethink their market. Since about 90 percent of road accidents are said to be caused by human factor, autonomous vehicles will likely have far fewer accidents and insurance claims in the future. Yael Benenisti, the deputy CEO of Insurtech Israel, says it’s an opportunity for insurance companies to widen their service to turn vehicles into data sensors that could be marketed. (photo: courtesy)See omnystudio.com/listener for privacy information.

We're feeling very Christmassy this episode! We're featuring our #gifted trip to Silverstone's Lap of Lights, talking about some of our Christmas traditions (and how we're including our dogs and chickens this year), deciding on our favourite Christmas films, talking about books (as usual) and more..!

Peachtree Corners is changing fast—and a lot of the biggest conversations residents are having right now come down to the basics: traffic, infrastructure, and safety. In this episode of Peachtree Corners Life, host Rico Figliolini sits down with City Councilman Eric Christ—fresh off another term—to break down what's happening, why it's happening, and what it means for day-to-day life in the city.From the new “jug handle” traffic pattern at Holcomb Bridge Road and Spalding Drive to major planning around bridge replacement on East Jones Bridge, Eric pulls back the curtain on how decisions get made across city, county, and state responsibilities. The conversation expands into what's next for Technology Parkway, redevelopment at The Forum, the city's deer population report, and how Peachtree Corners is thinking about practical public safety improvements without turning it into a political shouting match.Resources:City of Peachtree Corners website: https://www.peachtreecornersga.govEric Christ contact page: https://www.peachtreecornersga.gov/directory.aspx?EID=32Eric Christ campaign site: https://www.votechrist.orgKey takeawaysHolcomb Bridge/Spalding changes are GDOT-driven (State Route 140) and designed to improve north-south throughput; left turns from Spalding are rerouted via Weatherburn Way and River Exchange.Expect a learning curve: signage improvements + GPS/map updates should reduce “habit” left turns over time.East Jones Bridge vehicle bridge replacement (early 2026 target): a 9–12 month project with an expected full road closure for ~4 months during the bridge swap, creating major detours.Pedestrian infrastructure gets folded in: the plan includes sidewalks on both sides; a newer pedestrian bridge may be relocated into the trail system; the new bridge is expected to sit higher for flood standards.Technology Parkway AV lanes are likely being rethought for a real-world test environment: AVs are faster now, and companies prefer mixed traffic; plan includes restriping, removing the “armadillos,” and adding shared-lane bike markings + a small trailhead parking area.The Forum redevelopment is a multi-year, phased evolution: Barnes & Noble moving (into the former Old Navy space), a parking deck shifting toward the Peachtree Parkway side, and residential/hotel components discussed as later phases (more like 2027–2028 timing).Deer population is a real scale issue: estimate shared in the conversation is 2,700+ deer (~193 per square mile vs ~25 in a natural setting); next step involves USDA Wildlife Services planning.Public safety discussion is framed as “service levels”: exploring options like a precinct presence, staffing visibility, and contract improvements—while acknowledging the long-term county policing framework.Timestamp:00:00 – Welcome and introduction of Eric Christ02:00 – Holcomb Bridge Road traffic changes explained12:00 – East Jones Bridge replacement plans23:00 – Autonomous vehicle lanes and Curiosity Lab updates34:00 – The Forum redevelopment and future timeline44:00 – Deer population study and wildlife management49:00 – Public safety, policing, and community concerns01:12:00 – Final thoughts and how to contact Eric Christ

This episode is about Autonomous Practice.See omnystudio.com/listener for privacy information.

Resolve AI gains autonomous edge for $1B valuation and $4M ARR. It outperforms rivals in speed and accuracy of fixes. Splunk heritage shines in execution.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

THE AUTONOMOUS MIDDLE CLASS AS THE REPUBLIC'S FOUNDATION Colleague Victor Davis Hanson. Victor Davis Hanson argues that a stable republic relies on an autonomous middle class, which serves as a buffer between the wealthy and the dependent poor. Drawing on classical history, he warns that modern policies are "hollowing out" this class, creating a peasantry dependent on the state for survival, illustrated by government campaigns depicting adults in a state of perpetual adolescence and reliance. He contends that high taxes and regulations in places like California are driving this productive class away, leaving behind a stratified society of the very rich and the subsidized poor. NUMBER 1

I was very inspired to do just a sweet simple whisper/soft spoken video about how good the night is for falling asleep :)) I apologies for so much editing in this video (my neighbors were loud so I had to cut some parts out) And I promise you I am working on a new role play but its taking a bit too long :/ sorry. Thank you so much for watching, I hope you will enjoy it ♥ :) Amazon MP3https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ssGoogle Play MP3https://play.google.com/store/music/artist/Gentlewhispering?id=Apc4txglf3f2siowzgqccttky5i&hl=enSpotify MP3https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=openiTunes MP3https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316Disclaimer: *** This video is created for relaxation, entertainment and ASMR/tingles/chills inducing purposes only. For more information about ASMR phenomenon please click here: http://en.wikipedia.org/wiki/Autonomous_sensory_meridian_response This video cannot replace any medication or professional treatment. If you have sleep/anxiety/psychological troubles please consult your physician. Thank you :) ***PayPal (Donations): https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=RA5K2GG7687VJ Email: MariaGentlewhispering@gmail.com#asmr #gentlewhispering3/11/13

Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Emad Mostaque is the founder of Intelligent Internet ( https://www.ii.inc )  Read Emad's Book: https://thelasteconomy.com Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Grab dinner with MOONSHOT listeners: https://moonshots.dnnr.io/ _ Connect with Peter: X Instagram Connect with Emad:  Read Emad's Book  X  Learn about Intelligent Internet Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Listen to MOONSHOTS: Apple YouTube – *Recorded on December 18th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the Crazy Wisdom podcast, host Stewart Alsop talks with Umair Siddiqui about a wide range of interconnected topics spanning plasma physics, aerospace engineering, fusion research, and the philosophy of building complex systems, drawing on Umair's path from hands-on plasma experiments and nonlinear physics to founding and scaling RF plasma thrusters for small satellites at Phase Four; along the way they discuss how plasmas behave at material boundaries, why theory often breaks in real-world systems, how autonomous spacecraft propulsion actually works, what space radiation does to electronics and biology, the practical limits and promise of AI in scientific discovery, and why starting with simple, analog approaches before adding automation is critical in both research and manufacturing, grounding big ideas in concrete engineering experience. You can find Umair on Linkedin.Check out this GPT we trained on the conversationTimestamps00:00 Opening context and plasma rockets, early interests in space, cars, airplanes 05:00 Academic path into space plasmas, mechanical engineering, and hands-on experiments 10:00 Grad school focus on plasma physics, RF helicon sources, and nonlinear theory limits 15:00 Bridging fusion research and space propulsion, Department of Energy funding context 20:00 Spin-out to Phase Four, building CubeSat RF plasma thrusters and real hardware 25:00 Autonomous propulsion systems, embedded controllers, and spacecraft fault handling 30:00 Radiation in space, single-event upsets, redundancy vs rad-hard electronics 35:00 Analog-first philosophy, mechanical thinking, and resisting premature automation 40:00 AI in science, low vs high hanging fruit, automation of experiments and insight 45:00 Manufacturing philosophy, incremental scaling, lessons from Elon Musk and production 50:00 Science vs engineering, concentration of effort, power, and progress in discoveryKey InsightsOne of the central insights of the episode is that plasma physics sits at the intersection of many domains—fusion energy, space environments, and spacecraft propulsion—and progress often comes from working directly at those boundaries. Umair Siddiqui emphasizes that studying how plasmas interact with materials and magnetic fields revealed where theory breaks down, not because the math is sloppy, but because plasmas are deeply nonlinear systems where small changes can produce outsized effects.The conversation highlights how hands-on experimentation is essential to real understanding. Building RF plasma sources, diagnostics, and thrusters forced constant confrontation with reality, showing that models are only approximations. This experimental grounding allowed insights from fusion research to transfer unexpectedly into practical aerospace applications like CubeSat propulsion, bridging fields that rarely talk to each other.A key takeaway is the difference between science and engineering as intent, not method. Science aims to understand, while engineering aims to make something work, but in practice they blur. Developing space hardware required scientific discovery along the way, demonstrating that companies can and often must do real science to achieve ambitious engineering goals.Umair articulates a strong philosophy of analog-first thinking, arguing that keeping systems simple and mechanical for as long as possible preserves clarity. Premature digitization or automation can obscure understanding, consume mental bandwidth, and even lock in errors before the system is well understood.The episode offers a grounded view of automation and AI in science, framing it in terms of low- versus high-hanging fruit. AI excels at exploring large parameter spaces and finding optima, but humans are still needed to judge physical plausibility, interpret results, and set meaningful directions.Space engineering reveals harsh realities about radiation, cosmic rays, and electronics, where a single particle can flip a bit or destroy a transistor. This drives design trade-offs between radiation-hardened components and redundant systems, reinforcing how environment fundamentally shapes engineering decisions.Finally, the discussion suggests that scientific and technological progress accelerates with concentrated focus and resources. Whether through governments, institutions, or individuals, periods of rapid advancement tend to follow moments where attention, capital, and intent are sharply aligned rather than diffusely spread.

In this special episode, host Peter Bauman (Le Random's editor in chief) speaks with Paul Seidler and Paul Kolling from art collective terra0 about their project Autonomous Forest (2025)⁠. They cover the nearly decade-long journey from ⁠white paper (2016)⁠ as university students to the project's NFT launch in December 2025.The collective shares how the original idea in the white paper mutated with projects like Flowertokens, Premna Deamon and now Autonomous Forest. They also cover why working through German law and smart contracts creates better frameworks than pure speculation, how the project evolved from startup pitches to nonprofit governance, and what it means to build living systems that exist outside economic (and human) exploitation.Monday's Le Random Editorial on "Standout Artwork of 2025"Thursday's Le Random Editorial: "Zero 10 Part 1: Beeple Casts a Spell" by Kevin BuistChapters:

Guest:Dan O'Toole, Founder, Chairman, and Chief Executive Officer of Arrive AI Inc.Company: Arrive AI - The Future of Autonomous DeliveryWebsite:https://www.arriveai.comTicker: NASDAQ: ARAIAbout Arrive AI:Arrive AI (NASDAQ: ARAI) is a technology company that transforms last-mile logistics with its AI-powered Autonomous Last Mile (ALM) platform, designed to make deliveries smarter, safer, and more efficient. Founded in 2020 and headquartered in Fishers, Indiana, the company's patented Arrive Points™ smart mailboxes securely interact with drones, ground robots, couriers, and people, enabling seamless handoffs and secure chain-of custody controls. The platform also provides real-time tracking and logistics alerts, helping shippers and delivery networks achieve greater speed and reliability. Backed by nearly $12 million in crowdfunding and $40 million in institutional investment, Arrive AI advanced to the public markets with a Nasdaq direct listing in 2025.Dan's BioDan O'Toole is a visionary leader bringing more than 37 years of entrepreneurial experience in building and scaling innovative businesses. He began his career as a national sales manager in specialty distribution before founding and exiting three companies, including Facility Maintenance USA, which provided nationwide services to Fortune 500 clients. Renowned for anticipating market shifts, O'Toole has repeatedly turned innovation into sustainable growth and long-term shareholder value. His track record spans securing patents, leading successful exits, and nurturing high-performance teams. At Arrive AI, he guides the company's overall strategy, governance, and global expansion as a publicly traded enterprise.Dan O'Toole is one of the first in the U.S. to secure patents for a smart mailbox capable of accepting packages via drones and other autonomous systems. His invention has since evolved into a Mailbox-as-a-Service platform powered by AI. A serial entrepreneur, he brings extensive leadership experience across startups, enterprise sales organizations, and commercial real estate. A graduate of Ball State University, he lives with his family in Carmel, IN, and is an avid car collector.

Biomanufacturing has always dealt with the challenge of turning vast, complex datasets and intricate production steps into life-changing therapies. But when batch records multiply and process deviations loom, how do biotech teams make sense of it all? In this episode, we move beyond theory to the nuts and bolts of how AI - when thoughtfully deployed - can turn bioprocessing chaos into actionable intelligence, paving the way for the factory of the future.Our guest, Ilya Burkov, Global Head of Healthcare and Life Sciences Growth at Nebius AI, doesn't just talk about data wrangling and algorithms—he's spent years building tools and strategies to help scientists organize, contextualize, and leverage real-world datasets. Having worked across tech innovation and pharmaceuticals, Ilya Burkov bridges cutting-edge computation with the practical realities of CMC development and manufacturing, making him a trusted voice on how bioprocessing is rapidly changing.Highlights from the episode:Advice for biotech scientists on learning from innovations in other industries (00:02:21)Tackling the complexities of organizing huge and often unstructured datasets in bioprocessing (03:08)Techniques and tools to structure, label, and prepare data for AI—including Nebius's in-house tool, Tracto AI (06:24)Strategies for startups and small teams—how to begin implementing AI and what areas of bioprocessing to focus on first (10:12)The vision for the “factory of the future”: AI-driven, interconnected, and self-learning manufacturing environments (08:11)Navigating the decision between on-premise and cloud computing for scalable, cost-effective AI workloads (12:32)The importance of partnership between scientists and AI, emphasizing collaboration and data-driven decisions (00:15:47)Wondering how to kick off your own AI-enabled bioprocessing project, or what to insource versus outsource as you scale? This episode gives you a grounded starting point—minus the buzzwords and empty promises.Connect with Ilya Burkov:LinkedIn: www.linkedin.com/in/ilyaburkovContact email: ilya.burkov@nebius.comNebius: www.nebius.comIf this topic grabbed you, you'll love these related episodes focusing on advanced modeling, continuous manufacturing, and Digital TwinsEpisodes 213 - 214: From Developability to Formulation: How In Silico Methods Predict Stability Issues Before the Lab with Giuseppe LicariEpisodes 85 - 86: Bioprocess 4.0: Integrated Continuous Biomanufacturing with Massimo MorbidelliEpisodes 05 - 06: Hybrid Modeling: The Key to Smarter Bioprocessing with Michael SokolovEpisode 153 - 154: The Future of Bioprocessing: Industry 4.0, Digital Twins, and Continuous Manufacturing Strategies with Tiago MatosEpisodes 173 - 174: Mastering Hybrid Model Digital Twins: From Lab Scale to Commercial Bioprocessing with Krist GernaeyNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

OpenAI reporter Sri Muppidi talks with TITV Host Akash Pasricha about OpenAI's potential $750 billion valuation and the internal organizational tensions slowing down ChatGPT. We also talk with Robinhood's Steve Quirk about the firm's new AI research tools and the surge in prediction markets interest, and The Information's Anissa Gardizy about the financing hurdles facing Oracle's newest data center. We also get into Lyft's financial turnaround with CFO Erin Brewer and discuss the future of the media landscape with Axios CEO Jim VandeHei and The Information's CEO Jessica Lessin. Lastly, the Tubi CEO Anjali Sud joins to announce its first-ever TikTok Awards.Articles discussed on this episode: https://www.theinformation.com/articles/openais-organizational-problems-hurt-chatgpthttps://www.theinformation.com/articles/openai-discussed-raising-tens-billions-valuation-around-750-billionhttps://www.theinformation.com/articles/openais-chatgpt-problemhttps://www.theinformation.com/briefings/youtube-will-broadcast-oscars-starting-2029TITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Are we sleepwalking into the biggest technological revolution in human history? In this explosive episode of Mayim Bialik's Breakdown, Mustafa Suleyman — CEO of Microsoft AI & author of The Coming Wave — breaks down what it really means to live in a world undergoing a massive reckoning with Artificial Intelligence. Whether you love it, hate it, or don't even realize you're already using it, AI is quietly reshaping everything we know about medicine, government, finance, energy, and even human relationships. Mustafa pulls back the curtain on the true risks of AI, the benefits that may outweigh them, and the unsettling truth about how fast this technology is evolving...much faster than anyone predicted. He reveals the single most significant global use-case of AI today (and why it's a direct challenge to human evolution), the surprising reason AI therapy and companionship are exploding worldwide, and what we're unintentionally outsourcing to machines that may isolate us from real human connection. We dive into: - The waves of AI evolution and what comes next - The coming disruption to the economy and the job market - How to prepare (and parent) in a world powered by AI - Why AI's similarity to the human brain's neural networks is both fascinating and terrifying - The urgent need for guardrails and safeguards before bad actors use AI to manipulate individuals and entire societies - Mind-blowing breakthroughs AI could unlock in human potential - Why Mustafa believes AI will never develop its own awareness or agenda - And the controversial question: Will it take a catastrophic AI event to force governments and agencies to finally work together? This is not just a conversation about technology, it's a conversation about humanity's future, the choices we're making right now, and the consequences of ignoring the wave that's already here. If you want to understand where AI is taking us, and how to survive and thrive in the next decade, watch this episode of MBB until the very end! Try Notion, now with Notion Agent, at https://notion.com/break Mustafa Suleyman's Book, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma: https://mustafa-suleyman.ai/#book Subscribe on Substack for Ad-Free Episodes & Bonus Content: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bialikbreakdown.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BialikBreakdown.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube.com/mayimbialik⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Rideshare Rodeo Podcast (episode 528) December 16th, 2025 Waymo is putting human lives in jeopardy AND the company knows it. Topics covered in this episode: Waymo sues California DMV to keep driverless crash data under wraps What happens when a Waymo is at fault in a crash? Court rejects San Francisco's Waymo challenge Waymo, Alphabet Sued for Bias After AI Allegedly Mislabels SF Doctor as Terrorist Waymo recalls more than 3,000 vehicles over faulty software following school bus violations Woman discovers man hiding in trunk of driverless Waymo taxi when ordering ride Rideshare Rodeo Brand & Podcast: https://linktr.ee/RideshareRodeo 

Most enterprises have roadmaps stretching 3-5 years out. What if you could compress that to 1-2 years? Brian Elliot is the Co-Founder and CEO of Blitzy, an enterprise-focused autonomous software development platform tackling one of technology's toughest problems: how do you modernize 20-100 million lines of legacy code when the developers who wrote it retired 15 years ago?In this episode, Brian explores:Why orchestrated AI agents can handle 80% of transformation work autonomously (and why humans still matter for the other 20%)The realities of enterprise buying cycles and why embedded on-site teams accelerate change managementWhy documentation and test coverage are the unsexy first steps that make everything else possibleAbout the Guest: Brian Elliott is CEO and Co-founder of Blitzy. A serial entrepreneur, former Infantry Officer with the 1st Ranger Battalion, and West Point graduate in Systems Engineering with a Harvard MBA, Brian brings a unique blend of military precision, engineering expertise, and entrepreneurial vision to transforming enterprise software development.As CEO, Brian leads Blitzy's mission to empower systematic AI adoption across enterprises, transforming traditional development lifecycles into AI-native workflows. Under his leadership, Blitzy has developed an agentic platform where thousands of specialized AI Agents cooperate at inference to autonomously deliver enterprise-scale code that is tested, validated, and compiled.Focused on operational deployment at scale, Brian architected the company's proven Agentic SDLC Accelerator—a structured methodology that systematically guides engineering organizations from technical validation to full-scale enterprise adoption. This framework unlocks autonomous capabilities across the complete software development lifecycle.Timestamps:01:25 – Understanding Blitzy's AI Capabilities03:25 – Challenges and Solutions in Enterprise Software06:00 – The Genesis of Blitzy07:30 – Insights from Nvidia and AI Development11:00 – Implementing AI in Enterprise Systems18:00 – Change Management and Customer Collaboration20:30 – Understanding Enterprise Security Needs25:10 – Improving Code Quality and Test Coverage28:15 – Blitzy's Mission and Market Direction30:10 – Challenges and Opportunities in Enterprise SoftwareGuest Highlight:"Code is beautiful in that it's verifiable. We're following enterprise best practices—everything goes to a dev branch where a human can look at it, review it, go through a typical QA process. The first thing we're gonna do is document their code so they know what's going on, then add test cases, then develop software at scale that's highly verifiable."Get Connected:Brian Elliot on LinkedInYousuf Kahn on LinkedInIan Faison on LinkedInHungry for more tech talk? Check out past episodes at ciopod.com: Ep 62 - Running IT Like a Growth EngineEp 61 - What Manufacturing Can Teach You About Scaling Enterprise AIEp 60 - Why the Smartest CIOs Are Becoming Business StrategistsLearn more about Caspian Studios: caspianstudios.comOur Sponsor: This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with Infinite Code Context. Blitzy uses thousands of specialized AI agents that think for hours to understand enterprise scale codebases with millions of lines of code.Enterprise Engineering leaders start every development sprint with the Blitzy platform, bringing in their development requirements. The Blitzy platform provides a plan, then generates and pre-compiles code for each task. Blitzy delivers 80%+ of the development work autonomously, while providing a guide for the final 20% of human development work required to complete the sprint.Public companies are achieving a 5x engineering velocity increase when incorporating Blitzy as their Pre-IDE development tool, pairing it with their coding co-pilot of choice to bring an AI-Native SDLC into their org.Visit Blitzy.com and press book demo to learn how Blitzy transforms your SDLC from AI Assisted to AI Native. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Across biotech labs, researchers swim in oceans of process data: sensor streams, run records, engineering logs, and still, crucial decisions get stuck in spreadsheets or scribbled into fading notebooks. The challenge isn't having enough information, it's knowing which actions actually move the needle in cell culture productivity, process stability, and faster timelines.This episode, David Brühlmann brings on Ilya Burkov, Global Head of Healthcare and Life Sciences Growth at Nebius AI. With a career spanning NHS medicine, regenerative research, and cloud infrastructure, Ilya Burkov has lived the leap from microscope to server room. He's seen firsthand how digital twins, autonomous experimentation, and cloud-first strategies are shifting the way biologics are developed and scaled.Topics discussed:Shifting from experimental-based to computational bioprocess development, and the evolving role of human expertise vs. AI (02:48)Ilya Burkov's journey from medicine and orthopedics to AI and cloud infrastructure (04:15)Solving data silos and making real-time decisions with digital twins and automated analytics (06:36)The impact of AI-driven lab automation and robotics on drug discovery timelines (08:51)Using AI to accelerate cell line selection, cloning, and protein sequence optimization (10:12)Why wet lab experimentation is still essential, and how predictive modelling can reduce failure rates (11:15)Reducing costs and accelerating development by leveraging AI in process screening and optimization (12:32)Strategies for smaller companies to effectively store and manage bioprocess data, including practical advice on cloud adoption and security (14:30)Application of AI and digital twins in scale-up processes, and connecting diverse data types like CFD simulations and process data (17:18)The ongoing need for human expertise in interpreting and qualifying data, even as machine learning advances (19:09)Wondering how to stop your own data from gathering dust? This episode unpacks practical strategies for storing and leveraging your experimental records - whether you're in a major pharma or a small startup with limited tech resources.Connect with Ilya Burkov:LinkedIn: www.linkedin.com/in/ilyaburkovContact email: ilya.burkov@nebius.comNebius: www.nebius.comIf this topic grabbed you, you'll love these related episodes focusing on advanced modeling, continuous manufacturing, and Digital TwinsEpisodes 213 - 214: From Developability to Formulation: How In Silico Methods Predict Stability Issues Before the Lab with Giuseppe LicariEpisodes 85 - 86: Bioprocess 4.0: Integrated Continuous Biomanufacturing with Massimo MorbidelliEpisodes 05 - 06: Hybrid Modeling: The Key to Smarter Bioprocessing with Michael SokolovEpisode 153 - 154: The Future of Bioprocessing: Industry 4.0, Digital Twins, and Continuous Manufacturing Strategies with Tiago MatosEpisodes 173 - 174: Mastering Hybrid Model Digital Twins: From Lab Scale to Commercial Bioprocessing with Krist GernaeyNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

Starfish Space has successfully completed an autonomous rendezvous and proximity operations (RPO) mission in low Earth orbit with Impulse Space. Rocket Lab has marked a milestone with the successful deployment of its first dedicated launch for JAXA. Mission Space has announced its intention to launch its second on-orbit payload with Rogue Space Systems, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Our guest today is Patrick O'Neill, Public Affairs and Outreach Lead at the International Space Station US National Laboratory. You can connect with Patrick on LinkedIn, and learn more about the ISS National Lab on their website. Selected Reading Starfish Space Completes Autonomous Rendezvous and Proximity Mission in LEO with Impulse Space Mission Success: Rocket Lab Deploys First Dedicated Launch for Japan Aerospace Exploration Agency (JAXA) Mission Space and Rogue Space Announce Launch of Mission Space's Second In-Orbit Payload Virgin Galactic Partners with Lawrence Livermore National Laboratory to Advance High-Altitude Image-Capture Technology Space Force will not partner with NRO for next-generation surveillance satellites 'Fiddler on the Moon' documentary explores how Judaism might adapt as humanity reaches out into space Share your feedback. What do you think about T-Minus Space Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Uber Technologies (UBER) continues to gain momentum in consumer interest, according to LikeFolio's data. Landon Swan makes the case for autonomous driving serving as the double-edged sword going forward. He believes Tesla's (TSLA) push for the technology makes it "very tough" for Uber to compete. Alphabet's (GOOGL) Waymo also saw significant acceleration in 2025.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe 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

In a post capitalist society with equal opportunity and no need to work for all citizens, where does inherent human nature drive people? Do they rise to greater heights or become lazy and goalless? Are people still in control of their own fate when AI teach the children, AI provide a police force, and AI look after the mentally ill? Maji grows up when this type of society is brand new and she becomes lost, not knowing what she wants to become. Just because equality has been achieved does not mean the new society has no pitfalls.Featured tech:A.R. glasses - Augmented reality glasses for digital overlays.V.R. rig - Virtual reality rig for immersive gaming experiences.Explorers of Paris Underground - VR game set in a simulated underground Paris.Assist - AI assistant for messaging, navigation, and voice commands.Old tablet - Handheld device used for drawing and creative work.Emulated teachers - AI teacher personalities that individually guide each student.Double-decker train system - 24/7 underground train with upper and lower levels running opposite directions.Constructor bots - Robots that carve rock and build structures with neighborhood appeal.Arboretum - Botanical garden facility within the underground colony.Farm animal petting zoo - Interactive animal facility for residents.Memorial plaza - Public commemorative space built by robots.Computer with emulated A.I. personalities - System hosting 20 million AI engineers and scientists for factory planning.Automated manufacturing factories - Self-operating production facilities capable of making anything.Recycle systems - Technology converting all garbage into reusable resources.Food and water utilities - Next-generation systems providing surplus fresh food and water.Household trash robots - Daily robots that collect, sort, and process household waste.Geothermal power plant - Energy source powering the entire underground colony.D. sub-surface hologram portraits - Holographic displays of historical figures.A.R. Ms Weever - Augmented reality teacher avatar for personalized instruction.Virtual book - Digital project idea book for graduation assignments.E.P.s (Emulated Personalities) - AI brainstorming assistants like Franklin that students can consult.Communication from moon - Interplanetary messaging system between Earth and lunar colonies.A.R. workspace - Augmented reality interface for work and multitasking.AR hologram avatar - AI representation (Butler) with simplified human features.EEG TMS caps - Brain stimulation caps treating space-related medical conditions.Total immersion V.R. - Advanced virtual reality without needing physical rigs.Fusion reactor - Power generation technology offered by the Butler AI.Autonomous hospitals - Self-operating medical facilities that cure cancers and deadly diseases.Smart toilets - Sanitation fixtures that analyze waste for health monitoring.Smart sheets and blankets - Bedding that scans for cancer hot spots.Embedded RF sensors - Body implants detecting diseases at the cellular level.Food tech - Technology making healthy food taste appealing and nutritious.Health-monitoring AI - Artificial intelligence improving yearly at disease detection.Autono-flat - Autonomous flat vehicle for transporting groups of people.Screen ceiling - Display showing simulated sky with moving clouds and birds.Climbing robots - Automated vine-trimming robots for building maintenance.A.R. element - Shared augmented reality content viewable by multiple users.Link-ink pen - Digital pen for schoolwork and digital interaction.Autono-camera - Autonomous camera on wheeled tripod for recording events.Two-seater - Two-person autonomous vehicle for individual transport.E.P. guardians - AI guardians monitoring people with mental health conditions.Bot bays - Automated food preparation stations offering free specialized meals.Industrial fans - Large-scale ventilation fans moving air through tunnels.Hanging bots - Robots riding cable lines mounted on tunnel ceilings.Coveralls with total hoods and heat pump backpacks - Protective smart clothing for hazardous environments.A.R. tutor - Augmented reality teaching assistant for student guidance.Enclosed turbine platform - Testing apparatus for wind turbine prototypes in storm conditions.Live feed embedded cam - Camera providing real-time video streaming from remote locations.Cool suits - Protective suits with environmental control and heat management.Open-top autono-cart - Autonomous open-air vehicle for traveling tube streets.Lutin bot - Humanoid robot that can be ridden or assist with transport.A.R. dot - Augmented reality location marker for navigation.Follow carts - Autonomous carts that follow users carrying belongings.Oppressive soundproof walls - Flat acoustic dampening technology in older apartments.Mini free food and drink kiosk - Automated food and beverage dispenser.Theater-length wall screen - Large display screen for entertainment and presentations.Lending library AI - AI system tracking borrowed items and managing micro-payment penalties.Police bot - Security and surveillance robots throughout the colony.Spotlight police bots - Security robots equipped with illumination for monitoring.Portable meal maker - Compact food preparation device running on electricity.Scuba gear - Underwater breathing apparatus for flood emergencies.Air-sealed service rooms - Sealed chambers above tubes providing flood protection.BritLights - Flickering emergency lighting fixtures in abandoned areas.A.R. night vision - Augmented reality low-light enhancement for dark environments.Paper clothes - Disposable garments popular in space colonies.Neural stimulation pod - Chamber for VR experiences with headset and wire connectivity.Remote robot control - Capability allowing AI to operate robots from a distance.Many of the characters in this project appear in future episodes.Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass.Copyright © Cy Porter 2025. All rights reserved.

Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/silk (#rulapod) Try MasterClass (up … Continue reading Whisperpedia | The Mushing Miracle: Sled Dogs & Diphtheria (A157) | Whispered Bedtime Sleep Stories

Hey guys :)) In this video you will be my test objects hehe :P, no worries though you are in good hands :*D I am sorry for some imperfections, I hope you will still enjoy it. And that weird glitch around 5:50? I cant seem to be able to delete it, I tried 3 times, somthg is wrong with YT :/ Thank you for the love and support! ♥ ^_^ -Airlight channel (Russian whisper): http://www.youtube.com/user/AirLightASMR-Nicolasmrelaxation channel (French whisper): http://www.youtube.com/user/NicolasmrelaxationAsmrtists mentioned: QueenOfSerene: http://www.youtube.com/user/QueenOfSereneTheWaterWhispers: http://www.youtube.com/user/TheWaterwhispersEphemeral Rift: http://www.youtube.com/user/EphemeralRiftAmazon MP3https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ssGoogle Play MP3https://play.google.com/store/music/artist/Gentlewhispering?id=Apc4txglf3f2siowzgqccttky5i&hl=enSpotify MP3https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=openiTunes MP3https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316Disclaimer: *** This video is created for relaxation, entertainment and ASMR/tingles/chills inducing purposes only. For more information about ASMR phenomenon please click here: http://en.wikipedia.org/wiki/Autonomous_sensory_meridian_response This video cannot replace any medication or professional treatment. If you have sleep/anxiety/psychological troubles please consult your physician. Thank you :) ***PayPal (Donations): https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=RA5K2GG7687VJ Email: MariaGentlewhispering@gmail.com#asmr #gentlewhispering3/26/13

Explore how autonomous medical coding and AI are reshaping healthcare. Learn strategies to boost efficiency, accuracy, and address coder shortages.

When Abingdon sat at a 99s Christmas dinner in 2006, she thought she was just celebrating her new private pilot certificate. Instead, she discovered a gap no watch company was willing to fill: pilot watches built for women. Within hours she set herself an 11-month deadline to design, fund, and deliver a watch that didn't exist yet. That deadline became the seed of The Abingdon Co., now an 18-year-old brand serving women across aviation and STEM. In this conversation, Shaesta and Abingdon walk through the full arc: from a 14-year-old chasing free pizza at a high school career talk, to getting a pilot certificate in 34 days, to preselling $400 watches off CGI renderings before a single unit existed. Abingdon explains why you can't wait for “perfect,” why she swears by “trip your way forward,” and how saying yes to an imperfect start changed her entire path in aviation. They also dig into the reality behind the highlight reel of entrepreneurship—caregiving, near-shutdown moments, investors, and what it looks like to keep a promise to customers when life blows up. Abingdon talks candidly about stepping away to become her father's full-time caregiver, the pressure to close the company, and why she refused to quit while thousands of women were still wearing her watches. From there, the conversation zooms out: Gen Z as the most entrepreneurial generation yet, where product ideas really come from, and why aviation desperately needs people who can see a problem and build anything better—whether it's a watch, a system, or an entire mindset around mental health and aeromedical reform. Abingdon also shares her view of aviation in 2035, from autonomous air vehicles and drone logistics to why analog watches are growing in a world of smart devices. If you're a young innovator wondering where you fit in aviation—or someone sitting on an idea you don't feel “ready” to launch—this episode is a playbook on starting before you're comfortable, serving a niche the industry ignores, and staying human in a career that loves to put people on pedestals. CHAPTERS (00:00) A missing watch at Christmas dinner (03:00) Trip your way forward, not perfectly (06:00) From free pizza to pilot in 34 days (11:00) Starting the first women's pilot watch (18:00) How one product opened aviation doors (24:00) Gen Z, gaps, and building in aviation (30:00) Caregiving, near shutdown, and investors (36:00) Mental health, identity, and aeromed (44:00) Autonomous flight and 2035 aviation (50:00) Why analog watches still matter SPONSORS ⁠Atlantic Aviation | atlanticaviation.com WORK WITH SHAESTA For bookings and inquiries, visit: https://shaestawaiz.com/book MORE ABOUT ABINGDON MULLIN Website: abingdonco.com LinkedIn: Abingdon Chelsea Mullin  IG: @theabingdonco MORE ABOUT SHAESTA WAIZ  Website: shaestawaiz.com  Instagram: @shaesta.waiz LinkedIn: Shaesta Waiz YouTube: www.youtube.com/@aviateplatform TikTok: @shaestawaiz Threads: @shaesta.waiz Production, Distribution, and Marketing By Massif & Kroo Website:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MassifKroo.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For inquiries/sponsoring: email hello@MassifKroo.com Learn more about your ad choices. Visit megaphone.fm/adchoices

We're joined by Zipline cofounder / CTO, Keenan Wyrobek. Zipline is on a mission to build the world's first logistics system that serves all people equally via their fleet of autonomous drones that started in Africa delivering medical supplies and can now deliver packages (up to 8 lbs) directly to your door. They've solved a lot of gnarly technical and regulatory challenges along the way. We go deep with Keenan. We hope you'll find this one fascinating.

We're joined by Zipline cofounder / CTO, Keenan Wyrobek. Zipline is on a mission to build the world's first logistics system that serves all people equally via their fleet of autonomous drones that started in Africa delivering medical supplies and can now deliver packages (up to 8 lbs) directly to your door. They've solved a lot of gnarly technical and regulatory challenges along the way. We go deep with Keenan. We hope you'll find this one fascinating.

China's logistics revolution is turning science fiction into reality, using unmanned technology like drones to deliver fresh produce to remote villages and reshape rural economies. Yet significant obstacles stand in the way. Can it clear these final barriers? We explore the promise and the challenges ahead. On the show: Steve, Fei Fei & Yushun

Google has rolled out AI that constantly checks for harmful behavior online. It responds without waiting for user action. This keeps Chrome users better protected.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Guest: Heather Adkins, VP of Security Engineering, Google Topic: The term "AI Hacking Singularity" sounds like pure sci-fi, yet you and some other very credible folks are using it to describe an imminent threat. How much of this is hyperbole to shock the complacent, and how much is based on actual, observed capabilities today?  Can autonomous AI agents really achieve that "exploit - at - machine - velocity" without human intervention for the zero-day discovery phase? On the other hand, why may it actually not happen? When we talk about autonomous AI attack platforms, are we talking about highly resourced nation-states and top-tier criminal groups, or will this capability truly be accessible to the average threat actor within the next 6-12 months? What's the "Metasploit" equivalent for AI-powered exploitation that will be ubiquitous?  Can you paint a realistic picture of the worst-case scenario that autonomous AI hacking enables? Is it a complete breakdown of patch cycles, a global infrastructure collapse, or something worse? If attackers are operating at "machine speed," the human defender is fundamentally outmatched. Is there a genuine "AI-to-AI" counter-tactic that doesn't just devolve into an infinite arms race? Or can we counter without AI at all? Given that AI can expedite vulnerability discovery, how does this amplified threat vector impact the software supply chain? If a dependency is compromised within minutes of a new vulnerability being created, does this force the industry to completely abandon the open-source model, or does it demand a radical, real-time security scanning and patching system that only a handful of tech giants can afford? Are current proposed regulations, like those focusing on model safety or disclosure, even targeting the right problem?  If the real danger is the combinatorial speed of autonomous attack agents, what simple, impactful policy change should world governments prioritize right now? Resources: "Autonomous AI hacking and the future of cybersecurity" article EP20 Security Operations, Reliability, and Securing Google with Heather Adkins Introducing CodeMender: an AI agent for code security EP251 Beyond Fancy Scripts: Can AI Red Teaming Find Truly Novel Attacks? Daniel Miessler site and podcast "How SAIF can accelerate secure AI experiments" blog "Staying on top of AI Developments" blog

Earlier this week we ran a workshop for our Thirdspace coaching graduates on ‘supervision' - the practice of supporting one another in being of service to others. Our source this week comes from one of the participants in that day, and asks what it is to ‘become a place'… in which we stand stable without dissolving, in which we hold a field of possibility and relationship without being claimed by it, in which we can be both ‘flame' and ‘vessel'. We know what good ‘places' can be in human life. At their best and most resonant they are affordances for us to find our courage, love, presence, realness, generosity. When a place is made with care and attention it can awaken in us awe, wonder, a sense of home, belonging. They can turn us towards one another in genuine reciprocity. And so, we ask in this conversation, what is it to cultivate our capacity to ‘be a place'? And what might that make possible? This week's Turning Towards Life is a conversation about how 'inclusivity' starts with us and between us, hosted as always by Lizzie Winn and Justin Wise of Thirdspace. This is Turning Towards Life, a weekly live 30 minute conversation hosted by Thirdspace in which Justin Wise and Lizzie Winn dive deep into big questions of human living. Find us on FaceBook to watch live and join in the lively conversation on this episode. You can find videos of every episode, and more about the project on the Turning Towards Life website, and you can also watch and listen on Instagram, YouTube, and as a podcast on Apple, Google and Spotify. Here's our source for this week: I bring my small universe with me, the part that simmers, the part that stews, the part that grows roots in uncertainty, and still feels everything. And yet, I remain my own. Autonomous. Upright. Or lying down Always a quiet spine of presence in the storm-light of relation This is the work: to stand stable without hardening to share without dissolving to hold the field without being claimed by it to become a place I remember myself as both flame and vessel. Ella Dessington Photo by Robert Lukeman on Unsplash --- Join Us Live in 2026 Foundations of Coaching, Feb 9-10 2026, Online Our two day introduction to the deep and wonderful way of working with people that we call 'Integral Development Coaching'. www.wearethirdspace.org/foundations-of-coaching Turning Towards Life Live Season 2, from March 2026 Our Turning Towards Life live programme of community, learning and reflection runs in six month seasons, in person on Zoom once a month. We're very excited about it. A chance to expand beyond the bounds of a podcast into forming a community of learning and practice. You can find out more and join us here: www.turningtowards.life/live ---- About Turning Towards Life Turning Towards Life, a week-by-week conversation inviting us deeply into our lives, is a live 30 minute conversation hosted by Justin Wise and Lizzie Winn of Thirdspace.  Find us on FaceBook to join in the lively conversation on this episode. You can find videos of every episode, and more about the project on the Turning Towards Life website, and you can also watch and listen on Instagram, YouTube, and as a podcast on Apple, Amazon Music and Spotify. Join Our Weekly Mailing: www.turningtowards.life/subscribe Support Us: www.buymeacoffee.com/turningtowardslife

In this episode of This Week in NoCode + AI, I sit down with Michelle, the co-founder and CEO of Flint, to talk about one of the wildest ideas we've seen in web tech lately: an autonomous website that optimizes itself in real time.Michelle shares her journey from software engineer at Warp to leading growth and marketing, and eventually co-founding Flint. We get into how she validated the idea within days, how she approached finding the right co-founder, and what it actually takes to build AI native products today.If you're a builder, founder, or AI-curious maker, this episode is full of lessons on moving fast, talking to users early, and understanding how AI can reshape how we build for the web.What you'll learn:• How autonomous websites work (and why they matter)• Flint's early validation process and customer feedback• Michelle's path from engineering → growth → founder• How to find a co-founder you trust• Real examples of Flint adapting and improving sites in real time• What the future of AI-driven web experiences could look likeTry Flint: https://www.tryflint.com/Follow Michelle: https://x.com/michlimlim

Live from the Morgan Stanley Global Consumer & Retail Conference, our analysts discuss how AI is reshaping the future of shopping in the U.S.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. We're coming to you live from Morgan Stanley's Global Consumer and Retail Conference in New York City, where we have more than 120 leading companies in attendance. Today's episode is the second part of our live discussion of the U.S. consumer and how AI is changing consumer companies. With me on stage, we have Arunima Sinha from the Global and U.S. Economics team, Simeon Guttman, our U.S. Hardlines, Broad Lines, and Food Retail Analyst, and Megan Clap, U.S. Food Producers and Leisure Analyst. It's Friday, December 5th at 10am in New York. So, Simeon, I want to start with you. You recently put out a piece assessing the AI race. Can you take us through how you're assessing current AI implementation? And can you give us some real-world examples of what it looks like when a company significantly integrates AI into their business? Simeon Gutman: Sure. So, the Consumer Discretionary and Staples teams went to each of their covered companies, and we started searching for what those companies have disclosed and communicated regarding their AI. In some cases, we used AI to do this search. But we created a search and created this universe of factors and different ways AI is being implemented. We didn't have a framework until we had the entire universe of all of these AI use cases. Once we did, then we were able to compartmentalize them. And the different groups; we came up with six groups that we were able to cluster. First, personalization and refined search; second, customer acquisition; third product innovation; fourth, labor productivity; fifth, supply chain and logistics. And lastly, inventory management. And using that framework, we were able to rank companies on a 1 to 10 scale. Across – that was the implementation part – across three different dimensions: breadth, how widely the AI is deployed across those categories; the depth, the quality, which we did our best to be able to interpret. And then the last one was proprietary initiatives. So, that's partnerships, could be with leading AI firms. So that helped us differentiate the leaders with others, not necessarily laggards, but those who were ahead of in the race. In some cases, companies that have communicated more would naturally scream more, so there is some potential bias in that. But otherwise, the fact pattern was objective. Walmart has full scale AI deployment. They're integrated across their business. They've introduced GenAI tools. That's like their Sparky shopping assistant. As well as integrated to in-store features. They talked about it. It's been driving a 25 percent increase in average shopper spend. They've recently partnered with OpenAI to enable ChatGPT powered Search and Checkout, positioning where the company, where the customer is shopping. They're also layering on augmented reality for holiday shopping, computer vision for shelf monitoring. LLMs for inventory replenishment. Autonomous lifts, the list goes on and on. But it covers all the functional categories in our framework. Michelle Weaver: And how about a couple examples of the ways companies are using these? Any interesting real world use cases you've seen so far? Simeon Gutman: So, one of them was in marketing personalization, as well as in product cataloging. That was one of the more sided themes at this conference. So, it was good timing. So, the idea is when product is staged on a company's website; I don't think we all appreciate how much time and many hours and people and resources it takes to get the correct information, to get the right pictures and to show all the assortment – those type of functions AI is helping enable. And it sounds like we're on the cusp of a step change in personalization. It sounds like AI, machine learning or algorithm driven suggestions to consumers. We didn't get practical use cases, but a lot of companies talked about the deployment of this into 2026, which sounds like it's something to look forward to. Michelle Weaver: And Megan, how would you describe AI adoption in your space in terms of innings and what kind of criteria are you using to assess the future for AI opportunity and potential? Megan Clapp: Yeah, I would say; I'd characterize adoption in the Food and broader Staples space today is still relatively early innings. I think most companies are still standing up the data infrastructure, experimenting with various tools. We're seeing companies pilot early use cases and start to talk about them, and that was evident in the work we did with the note that Simeon just talked about. And so, the opportunity, I think, going ahead, lies in kind of what we see in terms of scaling those pilots to become more impactful. And for Staples broadly, and Food, you know, ties into this. I think, these companies start with an advantage and that they sit on a tremendous amount of high frequency consumption data. So, the data availability is quite large. The question now is, you know, can these large organizations move with speed and translate that data into action? And that's something that we're focused on when we think about feasibility. I think we think about the opportunity for Food and Staples broadly as we'd put it into kind of two areas. One is what can they do on the top line? Marketing, innovation, R&D, kind of the lifeblood of CPG companies, and that's where we're seeing a lot of the early use cases. I think ultimately that will be the most important driver – driving top line, you know, tends to be the most important thing in most consumer companies. But then on the other side, there are a lot of cost efforts, supply chain savings, labor productivity. Those are honestly a bit easier to quantify. And we're seeing real tangible things come out of that. But overall I think the way we think about it is the large companies with scale and the ability to go after the opportunity because they have the scale and the balance sheet to do so – will be winners here, as well as the smaller, more nimble companies that, you know, can move a little bit faster. And so that's how we're thinking about the opportunity. Michelle Weaver: Can you give us also just a couple examples of AI adoption that's been successful that you've seen so far? Megan Clapp: Yeah, so on the top line side, like I said, kind of marketing innovation, R&D. One quick example on the Food side. Hershey, for example, they're using algorithms to reallocate advertising spend by zip code, based on the real time sell through. So, they can just be much more targeted and more efficient, honestly, with that advertising spend. I think from an innovation perspective too, these companies are able to identify on trend things faster and incorporate that and take the idea to shelf time down significantly. And then on the cost side, you know, General Mills is a company is actually relatively, far ahead, I'd say, in the AI adoption curve in Staples broadly. And what they've done is deployed what they call digital twins across their network, and it has improved forecast accuracy. They've taken their historical productivity savings from 4 percent annually to 5 percent. That's something that's structural. So, seeing real tangible benefits that are showing up in the PNL. And so, I think broadly the theme is these companies are using AI to make faster, and more precise decisions. And then I thought, I'd just mention on the leisure side, something that I felt was interesting that we learned from Shark Ninja yesterday at the conference is – when asked about the role of Agentic AI in future commerce, thinks it'll be huge was how he described; the CEO described it. And what they're doing actively right now is optimizing their D2C website for LLMs like ChatGPT and Gemini. And his point was that what drives conversion on D2C today may not ultimately be what ranks on AI driven search. But he said the expectation is that by Christmas of next year, commerce via these AI platforms will be meaningful; mentioned that OpenAI is already experimenting with curated product transactions. So, they're really focused on optimizing their portfolio. He thinks brands will win; but you have got to get ahead of it as well. Michelle Weaver: And that's great that you just brought up Agentic commerce. We've heard about it quite a bit over the past couple of days, Simeon. And I know you recently put out a big piece on this theme. Agentic commerce introduces a lot of possibility for incremental sales, but it also introduces the possibility for cannibalization. Where do you see this shaking out in your space? Are you really concerned about that cannibalization possibility? Simeon Gutman: Yeah, so the larger debate is a little bit of sales cannibalization and a potential bit of retail media cannibalization. So, your first point is Agentic theoretically opens up a bigger e-commerce penetration and just more commerce. And once you go to more e-commerce, that could be beneficial for some of these companies. We can also put the counter argument of when e-commerce came, direct-to-consumer type of selling could disintermediate the captive retailer sales again. Maybe, maybe not. Part of this answer is we created a framework to think about what retailers can protect themselves most from this. Two of them; two of the five I's are infrastructure and inventory. So, the more that your inventory is forward position, the more infrastructure you have; the AI and the agent will still prioritize that retailer within that network. That business will likely not go elsewhere. And that's our premise. Now, retail media is a different can of worms. We don't know what models are going to look like. How this interaction will take place? We don't know who controls the data. The transactions part of this conference is we were hearing, ‘Well, the retailers are going to control some of the data and the transaction.' Will consumers feel comfortable giving personal information, credit card to agents? I'm sure at some point we'll feel comfortable, but there are these inertia points and these are models that are getting worked out today. There's incentives for the hyperscalers to be part of this. There's incentive for the retailers to be part of it. But we ultimately don't know. What we do know is though forward position inventory is still going to win that agent's business if you need to get merchandise quickly, efficiently. And if it's a lot of merchandise at once. Think about the largest platforms that have been investing in long tail of product and speed to getting it to that consumer. Michelle Weaver: And Arunima, I want to bring this back to the macro as well. As AI adoption starts to ramp the labor market then starts to get called into question. Is this going to be automation or is it going to be augmentation as you see a ramp in AI adoption? So how are your expectations for AI being factored into your forecast and what are you expecting there? Arunima Sinha: There are two ways that we think about just sort of AI spending mattering for our growth forecasts. One part is literally the spend, the investment in the data centers and the chips and so on. And then the other is just the rise in productivity. So, does the labor or does the human capital become more productive? And if we sum both of those things together, we think that over 2026 – [20]27, they add anywhere between 40-45 basis points to growth. And just to put things in perspective, our GDP growth estimate for the end of this year in 2026 is 1.8 percent. For 2027, it's 2.0 percent. So, it's an important part of that process. In terms of the labor market itself, the work that you have led, as well as the work that we've been doing – which is this question about adoption at the macro level, that's still fairly low. We look at the census data that tracks larger companies or mid-size companies on a monthly basis to say, ‘How much did you use AI tools in the last couple of weeks.' And that's been slowly increasing, but it's still sort of in the mid-teens in terms of how many companies have been using as a percentage. And so, we think that adoption should continue to increase. And as that does, for now, we think it is going to be a compliment to labor. Although there are some cohorts within sort of demographic cohorts in terms of ages that are probably going to be disproportionately impacted, but we don't think that that's a sort of near term 2026 story. Michelle Weaver:  Well, thank you all for joining us and please follow Thoughts on the Market wherever you listen to podcasts. Thank you to our panel participants for this engaging discussion and to our live and podcast audiences. Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

Hello.. First.. Sorry for a smudgy lipstick, I should know better :/... well I just wanted to do a cute silly little video ^_^ without any preps or rehearsals. I hope you will like it! :))) Love you! Happy upcoming Easter ! ♥Amazon MP3https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ssGoogle Play MP3https://play.google.com/store/music/artist/Gentlewhispering?id=Apc4txglf3f2siowzgqccttky5i&hl=enSpotify MP3https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=openiTunes MP3https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316Disclaimer: *** This video is created for relaxation, entertainment and ASMR/tingles/chills inducing purposes only. For more information about ASMR phenomenon please click here: http://en.wikipedia.org/wiki/Autonomous_sensory_meridian_response This video cannot replace any medication or professional treatment. If you have sleep/anxiety/psychological troubles please consult your physician. Thank you :) ***PayPal (Donations): https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=RA5K2GG7687VJ Email: MariaGentlewhispering@gmail.com#asmr #gentlewhispering3/28/13

Will it be possible to have fully autonomous networks in the near future? Anil Varanasi, CEO and Co-Founder of Meter, joins Scott Robohn in this sponsored episode to discuss the ongoing evolution from automated to autonomous networks. Anil breaks down how Meter differentiates from other networking vendors, discusses how Meter’s network products are vertically integrated... Read more »

Will it be possible to have fully autonomous networks in the near future? Anil Varanasi, CEO and Co-Founder of Meter, joins Scott Robohn in this sponsored episode to discuss the ongoing evolution from automated to autonomous networks. Anil breaks down how Meter differentiates from other networking vendors, discusses how Meter’s network products are vertically integrated... Read more »

Bloq.it CRO João Lopes on finding locations for parcel lockers, maximising parcel locker usage, e-commerce returns, drop-boxes, secondhand marketplaces, and more. Priorities for setting up a parcel locker network, in particular proximity Analysing customer behaviour to determine locker locations Understanding why some parcel locker locations won't work Autonomous parcel lockers, including batteries and solar power Maximising parcel locker usage, including e-commerce returns Drop box solution and dealing with non-standard return parcels Monitoring and clearing drop boxes Drop boxes in parcel shops (PUDO points) Busting queues and improving customer experience Second hand marketplaces and parcel lockers Bringing hardware and software expertise to parcel and postal operators  

How can you effectively prepare your SaaS for an exit? And what should you know about the valuation drivers, buyer types, and metrics that matter most? In a live episode of the Grow Your B2B SaaS podcast recorded at SaaS Summit Benelux, host Joran sat down with René de Jong to unpack what it takes for SaaS companies to scale and prepare for a successful exit in 2026. René helps entrepreneurs—specifically SaaS founders—design effective exit strategies and navigate the full process of selling their businesses to third parties. Across the conversation, he offered clear and pragmatic insights on what separates the SaaS businesses that grow and sell well from those that struggle, how buyers evaluate companies in the current market, and why topics like the rule of 40, net revenue retention, AI-driven scalability, and deal structure matter now more than ever. From early-stage focus at 0 to 10K MRR to strategies for moving toward 10 million ARR, René shared guidance grounded in what he sees every day in the market.This episode turns the full discussion into a clear, actionable narrative that stays true to the original conversation and is easier to follow and revisit.Key Timestamps(0:00) - SaaS Summit Benelux intro, B2B SaaS scaling 2026, Rule of 40, NRR, ARR multiples, Earnouts, Strategic buyers, 0-10K MRR, 10M ARR(0:50) - Guest intro, SaaS M&A advisor, SaaS exit strategy, SaaS acquisition process(1:14) - Scaling your SaaS for 2026(1:20) - What separates SaaS winners in 2026(1:26) - Rule of 40, Efficient growth, ARR multiple valuation(2:18) - Go-to-market strategy, New business team, Net Revenue Retention (NRR), Expense efficiency(3:05) - NRR benchmarks, Churn, Customer concentration, Market standards(4:01) - Efficient growth vs spend, AI scalability, Revenue per employee(5:06) - AI native SaaS costs, VC vs mature SaaS valuation, EBITDA vs ARR(6:38) - VC backing for AI native startups(6:48) - Freemium model 2026, Valuation cycles, EBITDA focus, AI hype, ARR multiples(8:05) - Sponsor: B2B SaaS affiliate marketing, Reditus(8:49) - SaaS valuation benchmarks, ARR multiples range(9:01) - 3.5x ARR cash at close, Earnout, Reinvest, Deal structure(10:34) - Venture capital vs Private equity(10:43) - Strategic buyers, One plus one equals three, Synergy valuation(11:22) - Build list of strategic acquirers, Exit planning(11:29) - Headline valuations vs reality, Purchase price, Earnouts, Deal terms(11:51) - Earnout as bonus, Cash at closing, Burnout risk(13:05) - 2026 growth loop, AI in land and expand, Product-led growth, AI agents(14:10) - 0–10K MRR advice, Founder mindset, Learn fast, Mentors, SaaS community(15:35) - Smart capital, Operator investors, Non-dilutive help(16:06) - 10K MRR to 10M ARR, Focus, Buy-and-build strategy, Autonomous growth, 3–5 year plan(17:43) - Contact info, LinkedIn, anno9082.nl(18:03) - Outro, Subscribe, Sponsor the show, Reditus call-to-action

In this episode of TechMagic, hosts Cathy Hackl and Lee Kebler explore how the future of AI is being shaped through hardware innovation happening around the world. They break down breakthroughs in autonomous vehicles, humanoid robots, and spatial computing, highlighting why hardware ownership now determines who controls data, training models, and long-term AI power. Cathy shares insights from her travels across Saudi Arabia and Qatar, while the hosts examine China's accelerating hardware ecosystem, Gen Alpha's rejection of “AI slop,” and the shift toward vision-action models. It's a fast, global look at where AI is really advancing, and why it matters.Come for the tech and stay for the magic!Key Discussion Topics: [00:00] Intro[00:23] Saudi Arabia and Qatar are booming in tech and entertainment.[00:04:00] Formula One tech highlights the Abu Dhabi Championship showdown.[00:07:13] Autonomous racing vs. human drivers shows motorsports' future.[00:10:23] NVIDIA's AlphaMoor offers open-source vision-language models.[00:14:23] Women often prefer autonomous vehicles to human drivers.[00:20:44] Owning hardware means owning data: the AI supremacy principle.[00:22:19] Global hardware innovations from Alibaba, Huawei, and ByteDance are under the radar.[00:26:51] "Human-authored" labels reveal widespread AI fatigue.[00:30:05] Gen Alpha rejects AI content, demanding authentic creations.[00:33:55] Copyright issues arise when sampling AI-generated music.[00:37:03] Cathy's Middle East speaking tour and CES 2025 lineup updates.[00:39:33] Holiday spending is shifting to experiences over products.[00:42:14] Book picks: the future of storytelling and understanding people.[00:44:49] Gaming culture highlights: Dungeon Crawler Carl, FNAF 2, and Stranger Things.[00:46:34] Key takeaways: physical AI, hardware ownership, and authentic human connection. Hosted on Acast. See acast.com/privacy for more information.

AI agents aren't just reacting anymore, they're thinking, learning, and sometimes deleting your entire production database without asking. The real question isn't if your AI agent will be hacked, it's when, and whether you'll have the right hooks in place to stop it before it happens. In this episode, Ron breaks down the ChatGPT Atlas vulnerability that shocked researchers, revealing how malicious prompts can turn AI assistants against their own users by bypassing safeguards and accessing file systems. He presents his new talk "Hooking Before Hacking," introducing a framework for applying EDR principles, prevention, detection, and response, to AI agents before they execute unauthorized commands. From pre-tool use hooks that catch malicious intent to one-time passwords that put humans back in the loop, this episode shares practical security controls you can implement today to prevent your AI agents from going rogue.   Impactful Moments: 00:00 - Introduction 02:00 - ChatGPT Atlas vulnerability exposed 04:00 - AI technology outpacing security guardrails 05:00 - Guardrail jailbreaks and prompt injection 06:00 - AI agents deleting production databases 07:00 - EDR principles for AI agents 09:00 - Pre-tool use hooks catch intention 11:00 - User prompt sanitization prevents leaks 14:00 - One-time passwords for agent workflows 16:00 - Automation mistakes across 10 years   Links: Connect with Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/ Check out the entire article here: https://www.yahoo.com/news/articles/cybersecurity-experts-warn-openai-chatgpt-101658986.html  GitHub Repository: https://hackervalley.com/hooking-before-hacking  See Ron's "Hooking Before Hacking" presentation slides here: http://hackervalley.com/hooking-before-hacking-presentation Check out our website: https://hackervalley.com/ Upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/ Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio    

Ram Ramanathan, Vice President of Product at Ribbon Communications, joined Doug Green, Publisher of Technology Reseller News, to discuss Acumen, Ribbon's new AI-powered platform designed to accelerate autonomous networking for service providers and enterprises. Ramanathan explains that rapid shifts—5G adoption, cloud-native architectures, heightened security demands, and a retiring telecom workforce—have created urgent pressure for automation. “We focus on practical, pragmatic AI that delivers real ROI—not hype,” he noted. Practical Automation Across the Service Lifecycle Acumen provides end-to-end observability and automation using real-time data and ML. It is vendor-agnostic, spans OSI layers 0–7, and includes a low-code/no-code Builder that allows Ribbon to tailor automation workflows and chatbots to each customer's environment. Real Deployments Already Underway Ribbon is working with several tier-one operators, including a major mobile provider moving from 4G to 5G across a multi-vendor network. Acumen is helping automate fault management, speed root-cause analysis, and proactively inform customer-facing teams. “It's not just fixing issues faster—it's keeping everyone, including the customer, informed,” Ramanathan said. Looking Ahead Ramanathan cautions organizations to avoid AI hype by setting realistic expectations and focusing on high-ROI outcomes first. “Break it into stages and show progress along the way,” he advised. Learn more at ribboncommunications.com.

Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/silk (#rulapod) Try MasterClass (up … Continue reading Trivia Time | 30 More Curious Questions & Answers (A196) | Whispered Bedtime Sleep Stories

Impact investor Tom Chi challenges a dangerous assumption: that economic growth and ecological health are opposing forces. He reveals how advances in AI and robotics are enabling a radical shift towards innovation as a force for restoration. Imagine mines that extract less, farms that regenerate soil and fleets of robots that can plant 100,000 mangroves in a single day. What if the same technologies that power our economy could actively repair the planet at the same time? Hosted on Acast. See acast.com/privacy for more information.

Thanksgiving food costs…  American Troops dodge bullets in Haiti…  Barbecue warns people, stay indoors…  Autonomous vehicle wars are here…  Key Bridge rebuild costs / what caused ship to hit bridge?…Email: Chewingthefat@theblaze.com  www.blazetv.com/jeffy   $20 off annual plan right now ( limited time )   Top Apple podcasts…  Vine coming back / diVine…  Who Died Today: The Kessler twins, Ann and Ellen 89 / Alice Glick 34?...  Joke of The Day… Learn more about your ad choices. Visit megaphone.fm/adchoices