Podcasts about autonomous

welcome to wall-e's tech briefing for tuesday, february 24th! delve into today's ai-focused updates: openai's enterprise expansion: collaborations with consulting giants like boston consulting group and mckinsey aim to integrate openai's technologies into corporate structures, boosting enterprise adoption. venture capital shifts: openai and anthropic shake up the vc sector with massive funding rounds, raising questions about investor loyalties in the competitive ai field. uber's autonomous push: introduction of uber autonomous solutions targets autonomous vehicle operations, collaborating with tech companies to strengthen their position in the autonomy industry. google cloud's ai innovation: advancements across ai models in intelligence, response time, and cost efficiency highlighted, reflecting ongoing enterprise deployment transformations. anthropic's security concerns: accusations against chinese ai labs for allegedly copying claude ai model stress the need for industry cooperation to mitigate potential security risks. tune in tomorrow for more tech updates!

Summary:In this conversation, Chris Hughes and Stanislav Fort discuss the transformative role of AI in cybersecurity, particularly in vulnerability management. Stanislav shares insights on how AI can discover zero-day vulnerabilities in widely used codebases, the challenges of balancing AI-driven discoveries with quality assurance, and the importance of proactive security measures. They also explore the economic sustainability of AI in cybersecurity, the burden on maintainers, and the ongoing arms race between defenders and attackers. The discussion emphasizes the potential for AI to significantly enhance software security and the aspiration towards achieving zero vulnerabilities in critical infrastructure.Takeaways:AI is revolutionizing vulnerability management in cybersecurity.The ability to find long-hidden vulnerabilities is unprecedented.AI can enhance both offensive and defensive security measures.Proactive security integration into development pipelines is essential.The quality of vulnerability reports is declining due to AI-generated noise.Maintainers face increasing burdens from rapid AI-driven discoveries.AI can help secure open source projects effectively.Sustainability in AI cybersecurity requires financial backing.The arms race between attackers and defenders is intensifying with AI.Achieving zero vulnerabilities is an aspirational yet achievable goal.Chapters00:00 Introduction to AI in Cybersecurity02:52 The Evolution of AI and Vulnerability Discovery05:45 AI's Impact on Software Development08:59 Discovering Zero-Day Vulnerabilities11:48 The Great Bifurcation in Security Research14:52 Balancing AI-Driven Discoveries and Quality17:59 Proactive Security Measures in Software Development20:53 The Role of AI in Securing Open Source Projects23:54 Sustainability of AI in Cybersecurity27:07 Addressing the Burden on Maintainers30:09 The Tension Between Autonomy and Security33:03 The Arms Race Between Defenders and Attackers36:12 Aiming for Zero Vulnerabilities38:58 Conclusion and Future Outlook

What does it take to turn the dream of an autonomous SOC into something organizations can actually deploy? Subo Guha, Senior Vice President of Product Management at Stellar Cyber, joins Sean Martin to share how the company's AI-driven security operations platform is making that vision a reality. Stellar Cyber serves SOC teams across more than 50 countries, with a primary focus on MSPs and MSSPs supporting the underserved mid-market, though marquee enterprise customers like Canon are also part of the portfolio.How can agentic AI change the way SOC teams handle alert overload? Guha describes what he calls a "digital army" of AI agents that work around the clock to automate alert triage and catch phishing attacks. The system filters 70 to 80 percent of incoming alerts, allowing analysts to focus on the 20 percent that matter most. With attackers using AI to launch faster and more frequent campaigns, Stellar Cyber takes a human-augmented approach, meaning the AI learns from analyst interactions and continuously guides the SOC team toward faster, more accurate remediation.Why does this matter for MSPs operating on thin margins? Guha explains that the autonomous SOC capability layered on top of Stellar Cyber's XDR platform allows MSSPs to serve more customers, reduce mean time to repair, and grow their tenant base without proportionally increasing staff. When MSSPs grow revenue, Stellar Cyber grows alongside them, creating a mutually beneficial model that ultimately means more organizations get protected.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTSubo Guha, Senior Vice President of Product Management, Stellar Cyber @LinkedInRESOURCESLearn more about Stellar Cyber: https://stellarcyber.aiAre you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKEYWORDSSubo Guha, Stellar Cyber, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, autonomous SOC, agentic AI, security operations, XDR, NDR, MSSP, MSP, alert triage, AI-driven security, Open XDR, Gartner Magic Quadrant, phishing detection, SOC automation Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hello everybody this is another of my tutorial type relaxation videos. :) In this video I will show you a few different ways of wearing scarfs. I decided to do my movements more natural rather then extra slow in this video so I hope you will still enjoy it :) Thank you for all the lovely messages and comments you guys! -^____^- You make me so happy! Directory: 1:30-Man's Tie Technique4:10-Caprise Technique6:23-Folding Technique8:36-Woman's Tie Technique10:10-Office Viler Technique13:05-Lacross Technique16:07-The Braid TechniqueAmazon 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.comPS: I uploaded this video in HD as it was requested by many :) ♥9/22/12

Introduction In this episode of the Insurtech Leadership Podcast, host Josh Hollander sits down with Gemma Ros, CTO at The Zebra, to unpack their 2026 State of Auto Insurance Report. They explore what's driving premium divergence across states, how affordability pressure is reshaping consumer behavior, and where regulation, loss costs, and distribution dynamics collide. Guest Bio Gemma Ros is CTO at The Zebra, one of the largest insurance comparison platforms in the United States. Born in Spain, Gemma built her career across engineering and data roles before joining The Zebra, where she leads the technology organization responsible for data infrastructure, product engineering, and AI capabilities. She brings a unique perspective as both a technologist and an insurance industry insider who sees real-time consumer shopping behavior at scale. Key Topics • State-by-state premium divergence — Auto insurance premiums are not stabilizing uniformly. Regulatory environments, loss cost trends, and competitive dynamics are creating vastly different realities depending on where you live. • Affordability pressure and coverage erosion — Consumers facing higher premiums are choosing higher deductibles, lower coverages, and state minimums — creating knock-on effects for uninsured/underinsured motorist exposure across the market. • Carrier growth signals in ad spending — When carriers increase advertising, it signals growth appetite and competitive pricing — a cue for consumers to reshop their policies. • Rate filing dynamics — New rates are being filed and going into effect daily, making the market a moving target for both consumers and distribution partners. • Telematics and ADAS impact on underwriting — Usage-based insurance and advanced driver assistance systems are beginning to reshape how risk is priced, though widespread impact is still unfolding. • Autonomous vehicles and insurance implications — The shift from driver liability to product/manufacturer liability as autonomy scales, and what that means for carriers. • Taking AI from fun to material impact — Gemma's 2026 engineering theme: moving AI adoption from experimental to scalable, repeatable, and operationalized across the entire engineering organization. Quotes • "It's never a bad idea to shop around. Educate yourself — you might be leaving money on the table." • "If you start seeing a lot more ads for insurance companies on TV or on podcasts, that's a good time to reshop — the carriers are signaling they want to grow." • "My main theme for 2026 is taking AI from fun to material impact." Resources • The Zebra's 2026 State of Auto Insurance Report: Available at thezebra.com • The Zebra: thezebra.com — insurance comparison platform Subscribe & Review If you enjoyed this episode, subscribe to the Insurtech Leadership Podcast on YouTube, Apple Podcasts, Spotify, or wherever you listen. Leave a review — it helps other insurance and technology professionals find the show.

The February 20 edition of the AgNet News Hour focused squarely on agricultural automation, return on investment, and whether California is ready to truly support innovation in the field. Hosts Nick Papagni and Josh McGill broadcast on a drying Friday morning following recent storms, but the real spotlight was on cutting-edge technology unveiled at the 2026 World Ag Expo. The featured guest was Paul Mikesell, founder and CEO of Carbon Robotics, the company behind the LaserWeeder and the newly announced Autonomous Tractor Kit (ATK). Mikesell shared how he built the first version of the laser weeding system in his backyard after years of working with artificial intelligence in Silicon Valley. His goal was simple: apply advanced AI to solve real-world farming problems — specifically herbicide resistance, rising labor costs, and environmental concerns. The LaserWeeder uses AI-powered cameras and high-precision lasers to identify and eliminate weeds without chemicals. According to Mikesell, growers are seeing up to 80 percent savings on weed control while improving crop health and market timing. The key, he emphasized, is ROI. Farmers want automation to pay for itself in one to three years — not five or ten. That financial reality has shaped Carbon Robotics' business model and rapid global expansion into 15 countries. Beyond weed control, the company introduced Carbon ATK, an autonomous tractor kit that can convert existing tractors into self-driving units. Unlike other autonomous systems that shut down when encountering unexpected obstacles, Carbon's system allows remote operators to take control instantly, ensuring full workdays in the field. The technology is designed to handle tillage, spraying, and other field operations with real-time AI oversight. But the conversation also highlighted regulatory challenges in California. While self-driving vehicles operate on public streets in San Francisco, autonomous tractors face gray areas under state labor and safety regulations. Mikesell called for clearer policies that allow farmers to adopt the best tools available without unnecessary roadblocks. Papagni and McGill underscored the broader takeaway: automation must make financial sense for growers. With labor costs high and margins tight, farmers cannot afford technology that doesn't deliver quick, measurable returns. As AI continues to evolve rapidly, adaptability and affordability will determine which companies succeed. The episode closed with a call for common-sense leadership and stronger support for agriculture in California. As automation advances, the question remains — will policy keep pace with innovation?

This episode features a large news slate: OpenAI closing in on massive $100B-plus funding round, Fed minutes temper expectations on additional cuts, Uber earmarks $100M toward autonomous charging hub. QOFTW: Rapid Firehttps://www.instagram.com/delano.saporu/?hl=en. Connect with me here also: https://newstreetadvisorsgroup.com/social/. Want to support the show? Feel free to do so here! https://anchor.fm/delano-saporu4/support. Thank you for listening.

In this episode of The Great Indoors, Shelly Palmer, tech strategist and CEO of The Palmer Group returns for his third appearance to explain why the digital world has become unrecognizable in just two years since his last appearance. Listeners will gain an inside look at the brutal reality of the media business, where traditional purchase funnels have collapsed in favor of short-form video and zero-click AI search results. The conversation provides a roadmap for the transition from simple automation to agentic AI. Autonomous systems that can now plan and initiate tasks independently and explores the rise of vibe coding, where English becomes the new programming language. So if you're fascinated by media, machine learning, and the conversations shaping what comes next, this is an episode you won't want to miss.

19th Feb

Manoj Saxena, Founder and CEO of Trustwise, explains why agentic AI represents a major shift inside organizations: from AI as a tool to AI as an active participant. He addresses the operational challenges that organizations face today, including AI-to-AI interactions, opaque decision-making, regulatory pressure, and the growing need for continuous oversight as AI systems gain autonomy. Key Takeaways: The ways AI agents are already taking on roles once owned by humans How leaders should prepare for AI systems that negotiate, decide, and act independently The emerging risks of AI acting without visibility, guardrails, or accountability Why trust, safety, and governance must operate in real time, not retroactively The organizational and cultural implications of humans managing AI agents Guest Bio: Manoj Saxena is the Founder, CEO, and Chairman of Trustwise—an award-winning AI safety company focused on securing and governing agentic AI systems—and the Founder and Chairman of the Responsible AI Institute. Widely regarded as the "father of IBM Watson," Manoj is a pioneer of Trusted Artificial Intelligence (TAI) and a leading voice for ethical and responsible AI. He previously served as General Manager of IBM Watson and as Chairman of the Board at the Federal Reserve Bank of Dallas. A serial entrepreneur with over $1.8B in exit value across multiple startups, Manoj is also a lecturer at the University of Texas at Austin and a fellow contributor at University of Cambridge, where he teaches and advises on ethical AI and responsible 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  

This week Shawn Tierney meets up with Soroush Karimzadeh of Novarc to discuss their AI-Powered Autonomous Welding Robotics in this episode of #TheAutomationPodcast. For any links related to this episode, check out the “Show Notes” located below the video. Watch The Automation Podcast from The Automation Blog: Listen to The Automation Podcast from The Automation Blog: The Automation Podcast, Episode 262 Show Notes: Special thanks goes out to Soroush Karimzadeh for coming on the show, and to Novarc for sponsoring this episode. To learn more about their AI-Powered Autonomous Robotic Welding solution, see the below links: Soroush Karimzadeh, LinkedIn, CEO & CoFounder, Novarc Technologies Inc.: https://www.linkedin.com/in/soroushkarimzadeh Novarc Technologies, LinkedIn: https://www.linkedin.com/company/novarc-technologies-inc- Novarc Technologies Website: https://www.novarctech.com/ NovAI™ – Adaptive Welding: The full power of AI and machine vision in welding automation: https://www.novarctech.com/products/novai/ Spool Welding Robot (SWR™): https://www.novarctech.com/products/spool-welding-robot/ Until next time, Peace ✌️ If you enjoyed this content, please give it a Like, and consider Sharing a link to it as that is the best way for us to grow our audience, which in turn allows us to produce more content

What if robots could handle tedious retraction, precise bone milling, or even autonomous suturing, freeing surgeons to focus on complex decision-making and more patients?In this episode of the Succeed In Medicine Podcast, Dr. Bradley Block speaks with Dr. Michael Yip, as he explains that today's robots primarily serve as extensions of human surgeons via teleoperation (e.g., da Vinci for precision in hard-to-reach areas), enhancing dexterity, visualization, and accuracy rather than replacing them. He highlights existing autonomous applications in "hard tissue" procedures like the Mako or Stryker robots for precise bone milling in joint replacements, and non-contact examples like CyberKnife for focused radiation therapy.For soft tissue surgery, the more challenging domain due to tissue deformation and variability, autonomy is emerging in simpler, repetitive tasks such as retraction, suctioning, or basic suturing, with demonstrations dating back 15 years but real-world deployment lagging due to engineering, data, and economic hurdles. Dr. Yip discusses why demos in controlled settings don't easily translate to ORs, the shift to data-driven AI (with risks of out-of-distribution failures), and regulatory challenges like FDA expertise gaps and defining probabilistic safety. He predicts stepwise adoption: starting with assistant-level tasks (replacing med student/intern roles in retraction/suction), then progressing to free surgeons for higher-value work, especially in underserved rural areas via telesurgery. Full "skin-to-skin" autonomy (e.g., simple lipoma excision or appendectomy) remains years away, limited by hardware combining strength, dexterity, and precision in one system, though teams of specialized robots could accelerate progress. Ultimately, robotics will alleviate surgeon burnout from growing demand, not eliminate jobs soon.Three Actionable TakeawaysEmbrace Robotics Early in Training: Surgeons and trainees should gain hands-on experience with diverse robotic technologies now, treating them as essential tools that augment precision and dexterity rather than threats to obsolescence.Focus on Repetitive Tasks for Autonomy Gains: Prioritize robotic assistance in tedious, physically demanding steps like retraction, suctioning, or basic closure to free up time, reduce fatigue, and improve efficiency in high-volume or resource-limited settings.Stay Informed on Regulatory and Economic Shifts: Monitor evolving FDA guidelines for AI/surgical autonomy, economic incentives (e.g., cost savings in joint replacements or anastomosis), and liability frameworks to prepare for integration that enhances patient access and outcomes.About the Show:Succeed In Medicine covers patient interactions, burnout, career growth, personal finance, and more. If you're tired of dull medical lectures, tune in for real-world lessons we should have learned in med school!About the Guest:Dr. Michael Yip is an Associate Professor of Electrical and Computer Engineering at UC San Diego and Director of the Advanced Robotics and Controls Laboratory (ARCLab). His research focuses on surgical robots, biomimetic design, robot learning, autonomous robotic surgery, and deformable tissue manipulation. He has received the NSF CAREER Award, NIH Trailblazer Award, IEEE RAS Distinguished Lecturer recognition, and was named Faculty Innovator of the Year at UCSD in 2024 and elected to the National Academy of Inventors. Previously a Disney researcher at Amazon Robotics, he holds a BSc in Mechatronics Engineering from the University of Waterloo, MS in Electrical Engineering from the University of British Columbia, and PhD in Bioengineering from Stanford University.Website: yip.eng.ucsd.edu and ucsdarclab.comAbout the Host:Dr. Bradley Block – Dr. Bradley Block is a board-certified otolaryngologist at ENT and Allergy Associates in Garden City, NY. He specializes in adult and pediatric ENT, with interests in sinusitis and obstructive sleep apnea. Dr. Block also hosts Succeed In Medicine podcast, focusing on personal and professional development for physiciansWant to be a guest?Email Brad at brad@physiciansguidetodoctoring.com  or visit www.physiciansguidetodoctoring.com to learn more!Socials:@physiciansguidetodoctoring on Facebook@physicianguidetodoctoring on YouTube@physiciansguide on Instagram and Twitter   This medical podcast is your physician mentor to fill the gaps in your medical education. We cover physician soft skills, charting, interpersonal skills, doctor finance, doctor mental health, medical decisions, physician parenting, physician executive skills, navigating your doctor career, and medical professional development. This is critical CME for physicians, but without the credits (yet). A proud founding member of the Doctor Podcast Network!Visit www.physiciansguidetodoctoring.com to connect, dive deeper, and keep the conversation going. Let's grow! Disclaimer:This podcast is for informational purposes only and is not a substitute for professional medical, financial, or legal advice. Always consult a qualified professional for personalized guidance. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Host Jeremy C. Park interviews Ethan Pretsch, Founder and President of WatchDog Robotics, which offers autonomous fire suppression systems using industry leading sensors and monitoring software combined with robotic nozzles to detect fires early and rapidly extinguish them. Ethan shares his some of his background and where the idea for the business started after searching for fire suppression systems that could be used in large tent structures that were up for long periods of time. He explains the limitations of traditional sprinkler systems, which have remained unchanged since 1874, and describes their autonomous alternative that uses sensors to detect and extinguish fires within 12 seconds using robotic water cannons. The system can detect fires up to 400 feet away and deliver water to a range of about 200 feet, making it suitable for large industrial spaces, warehouses, and manufacturing facilities. Ethan notes that while the technology is evolving, traditional systems still pose risks of extensive water damage and toxic cleanup, and the autonomous solution offers a more efficient and cost-effective alternative.Jeremy and Ethan discuss the global adoption of advanced fire protection technologies, noting that while Europe and Asia have embraced these innovations, the US market is catching up. Ethan highlights the positive reception from fire engineers and code enforcement officials, suggesting that written codes will soon reflect the potential of robotic autonomous firefighting.Ethan highlights the potential markets in Tennessee, including manufacturing, distribution, and forestry products, and mentions his ties to Memphis, where he has an employee and access to a robust industrial base with skilled professionals. He emphasizes the importance of building relationships to leverage shared knowledge and support, which is crucial for driving opportunities.Ethan expresses interest in applying his technology to wildfire defense and improving plant uptime and safety. He shares advice on taking the first step towards achieving goals, emphasizing the importance of action and learning through available resources like CAD design and programming. He highlights the transformative impact of AI and current low barriers to entry, encouraging natural curiosity and willingness to learn. Ethan also provides details on how to connect with WatchDog Robotics, including their website, social media presence, and options for site visits, demonstrations, and risk assessments.Visit https://www.watchdogrobotics.com to learn more about WatchDog Robotics.

Join Nipun Sharma, Co-Founder and CEO of Appetronix, for an exploration into the next frontier of hospitality: the fully autonomous restaurant. With over 17 years of leadership across global restaurant brands and a background in Wall Street investment banking, Nipun is uniquely positioned to bridge the gap between traditional food service and high-tech automation. In this episode, we discuss how Appetronix is using robotics and data science to deliver made-to-order meals without on-site staff, solving the industry's most persistent labor and consistency challenges.

If you've ever wondered how Oracle Database really works inside AWS, this episode will finally turn the lights on.   Join Senior Principal OCI Instructor Susan Jang as she explains the two database services available (Exadata Database Service and Autonomous Database), how Oracle and AWS share responsibilities behind the scenes, and which essential tasks still land on your plate after deployment.   You'll discover how automation, scaling, and security actually work, and which model best fits your needs, whether you want hands-off simplicity or deeper control.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   ------------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26   Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services with Oracle University.  Nikita: Hi everyone! In our last episode, we began the discussion on Oracle Database@AWS. Today, we're diving deeper into the database services that are available in this environment. Susan Jang, our Senior Principal OCI Instructor, joins us once again.  00:56 Lois: Hi Susan! Thanks for being here today. In our last conversation, we compared Oracle Autonomous Database and Exadata Database Service. Can you elaborate on the fundamental differences between these two services?     Susan: Now, the primary difference is between the service is really the management model. The Autonomous is fully-managed by Oracle, while the Exadata provides flexibility for you to have the ability to customize your database environment while still having the infrastructure be managed by Oracle.   01:30 Nikita: When it comes to running Oracle Database@AWS, how do Oracle and AWS each chip in? Could you break down what each provider is responsible for in this setup?  Susan: Oracle Database@AWS is a collaboration between Oracle, as well as AWS. It allows the customer to deploy and run Oracle Database services, including the Oracle Autonomous Database and the Oracle Exadata Database Service directly in AWS data centers.   Oracle provides the ability of having the Oracle Exadata Database Service on a dedicated infrastructure. This service delivers full capabilities of Oracle Exadata Database on the Oracle Exadata hardware. It offers high performance and high security for demanding workloads. It has cloud automation, resource scaling, and performance optimization to simplify the management of the service.  Oracle Autonomous Database on the dedicated Exadata infrastructure provides a fully Autonomous Database on this dedicated infrastructure within AWS. It automates the database management tasks, including patching, backups, as well as tuning, and have built-in AI capabilities for developing AI-powered applications and interacting with data using natural language. The Oracle Database@AWS integrates those core database services with various AWS services for a comprehensive unified experience.  AWS provides the ability of having a cloud-based object storage, and that would be the Amazon S3. You also have the ability to have other services, such as the Amazon CloudWatch. It monitors the database metrics, as well as performance. You also have Amazon Bedrock. It provides a development environment for a generative AI application.   And last but not the least, amongst the many other services, you also have the SageMaker. This is a cloud-based platform for development of machine learning models, a wonderful integration with our AI application development needs.  03:54 Lois: How has the work involved in setting up and managing databases changed over time?  Susan: When we take a look at the evolution of how things have changed through the years in our systems, we realize that transfer responsibility has now been migrated more from customer or human interaction to services. As the database technology evolves from the traditional on-premise system to the Exadata engineered system, and finally to the Autonomous Database, certain services previously requiring significant manual intervention has become increasingly automated, as well as optimized.  04:34 Lois: How so?  Susan: When we take a look at the more traditional database environment, it requires manual configuration of hardware, operating system, as well as the software of the database, along with initial database creation. As we evolve into the Exadata environment, the Exadata Database, specifically the Exadata cloud service, simplifies provisioning through web-based wizard, making it faster and easier to deploy the Oracle Database in an optimized hardware.     But when we move it to an Autonomous environment, it automates the entire provisioning process, allowing users to rapidly deploy mission-critical databases without manual intervention, or DBA involvement. So as customers move toward Autonomous Database through Exadata, we have fewer components that the customer needs to manage in the database stack, which gives them more time to focus more on important parts of the business.  With the Exadata Database, it provides a co-management of backup, restore, patches and upgrade, monitoring, and tuning. And it allows the administrator the ability to customize the configuration to meet their very specific business needs. With Autonomous Database, it's now fully automated and it's a greater responsibility is shift toward the service. With Autonomous Database on dedicated infrastructure, it provides that fine-grained tuning more for Oracle to help you perform that task.  06:15 Nikita: If we narrow it down just to Oracle and AWS for a moment, which parts of the infrastructure or day-to-day ops are handled by each company behind the scenes?  Susan: When we take a look at Oracle Database@AWS, it operates under a shared responsibility model, dividing the service responsibilities between AWS, as well as Oracle, as well as you, the customer.   The AWS has the data center. Remember, this is where everything is running. The Oracle Database@AWS, the Oracle Database infrastructure may be managed by Oracle and run in OCI, but is physically located within the AWS regions, as well as the availability zones and the AWS data centers.  The AWS infrastructure, in this case, is AWS's responsibility to secure the environment, including the physical security of the data center, the network infrastructure, and the foundational services like the compute, the storage, and the networking, all within AWS.  The next thing of who's responsible for the shared responsibility, it's Oracle. And that would be the hardware. We provide the hardware. While the hardware may physically reside in the AWS data center, Oracle's Cloud Infrastructure operational team will be the one managing this infrastructure, including software patching, infrastructure update, and other operations through a connection to OCI. This means Oracle handles the provisioning, as well as the maintenance of any of the underlying Exadata infrastructure hardware.  When we take a look at the next thing that it manages, it is also responsible besides the infrastructure of the Exadata. It is also the ability to manage the hardware, the environment of that hardware through the database control plane. So Oracle manages the administration and the operational for the Oracle Database@AWS service, which resides in OCI. So this includes the capabilities for management, upgrade, and operational features.  08:37 Nikita: And what are the key things that still remain on the customer's plate?   Susan: If you are in an Exadata environment or in an Autonomous environment, it is you, the customer, who is responsible for most of the database administration operation, as well as managing the users and the privileges of the user to access the database. No one knows the database and who should be accessing the data better than you.  You will be responsible for securing the applications, the data of the database, which now allows you to define who has access to it, control the data encryption, and securing the application that interacts with the Oracle Database@AWS.  09:29 Lois: Susan, we've talked about both Autonomous Database and Exadata Database Service being available on Oracle Database@AWS, but what's different about how each works in this environment, and why might someone pick one over the other?  Susan: Both databases, even though they run on the same Exadata Cloud Infrastructure, both can be deployed on both public cloud, as well as the customer data center, which is Oracle Cloud@Customer.  The Autonomous Database is a fully managed, completely automated environment. And this provides a capability of having a fully Autonomous Database Service running on a dedicated Oracle Exadata Infrastructure within your AWS data center.  The Exadata is a service that is provided and managed by Oracle and is physically running in the AWS data center, but is designed for mission critical workload and includes RAC environment, Real Application Cluster, offering a high performance availability and full feature capability that is similar to other Exadata environment, such as those running in our customers' data center.  The primary difference is really between the two services. When you take a look at the Exadata, the customer only pays for the compute resources that is used. Autoscaling can be used for a variety or variable resources, the workload, to automatically scale to the compute resources up or down when required.  The Autonomous Database also has automatic optimization for data warehousing, transaction processing, as well as JSON workload. The Exadata service, the customer again, also pays for the compute resources that they allocate. But that's the key thing. The customer can initiate the scaling because it's very specific to the workload that is needed.  So when you take a look at the two database services, one gives the ability to let Oracle fully manage it, including the scaling capability. The other, the Exadata, provides you the capability of having the environment that it's running on the infrastructure be managed by Oracle that adds a database administrator. You may wish to have a little bit more granular control of how you want the database to not only be scaling, but how you wish to customize how the database will be running.  12:10 Nikita: Focusing on Autonomous Database for a moment, what should teams know about how it actually runs within AWS?   Susan: The Autonomous Database on the Oracle Database@AWS brings the power of the Oracle's self-managing, self-securing, and self-repairing database into your AWS environment.  It provides the capability of the database automatically, automates many of the traditional, complex, and time-consuming database management tasks, such as the provisioning of the database, the patching, the backing up, and the scaling, and the performance tuning, reducing the need for any manual intervention by the database administrator.  Running the Autonomous Database in your AWS region enables low latency access for your AWS applications and services that is deployed within AWS, thus improving performance and response time. With the Autonomous Database, it automates many of the traditional things that is now automatically done by Oracle. It also supports integration with various AWS services, such as the ability of the not in addition to AIM, but the cloud formation, the CloudWatch for monitoring and the S3 for the storage.  You can easily migrate existing Exadata workload, including those running on Oracle RAC to AWS with minimum or no change to any of your databases or applications. In addition, there's a really powerful capability and feature of the database is called zero ETL, and that's zero extract, transformation, and load.  It's an integration capability with services like your Amazon Redshift, enabling near real time analytics and machine learning on your transactional database that is stored within the Autonomous Database on in your AWS environment. So with the Autonomous Database, it checks off many of the boxes for automatic capability, securing, tuning, as well as scaling the database.  With the Autonomous Database in the Dedicated Exadata Infrastructure, the Exadata Cloud Infrastructure resource represents the physical system, which can be expanded with storage, as well as compute services, the compute host. This now provides the ability to have an isolated zone for the highest protection from other tenants. The data is stored on a dedicated server only for one customer. That would be you.  14:56 Lois: Could you explain the role of Autonomous VM? What are its primary benefits?  Susan: The virtual machine or as we refer to them as the cluster, includes the grid infrastructure and provides a private network isolation. This provides you the capability of having custom memory, core, and storage allocation.  The Oracle Grid Infrastructure includes the Oracle Clusterware, which manages the cluster, as well as the servers, and ensure that the database can failover to another server in case of any failure.  15:34 Be a part of something big by joining the Oracle University Learning Community! Connect with over 3 million members, including Oracle experts and fellow learners. Engage in topical forums, share your knowledge, and celebrate your achievements together. Discover the community today at mylearn.oracle.com.  15:55 Nikita: Welcome back! Susan, what is the Autonomous Container Database?  Susan: With the Autonomous Container Database, and you need that if you're going to create an Autonomous Database, you need to provision that within your Autonomous Exadata VM Cluster. It serves as a container to hold or to house one or more Autonomous Databases.  This allows multiple Autonomous Databases to coexist in the same infrastructure while still being logically separated. And this allows for the separation of databases based on their intended use. Think of a database for production. Think of a database for development. Think of a database for testing. You may have different database versions within the same infrastructure.  This isolation makes it easier for you to be able to meet your SLA, your Service Level Agreement, any long-term backups you may have, very specific encryption key needs to prevent issues from one database impacting another. So, the ability to have everything be isolated and secure is still grouping it in a manner that will meet your business needs.  17:08 Lois: Looking at Exadata Database Service specifically, what are some standout advantages for customers who deploy it on Oracle Database@AWS? Is there anything in particular they should get excited about in terms of performance or integration with AWS?  Susan: The Exadata Database Service is running on a dedicated Exadata Infrastructure that's deployed within your AWS data center. It delivers the same Exadata service experience in cloud control planes as the Oracle Cloud Infrastructure, allowing you to leverage existing skills and processing across your multi-cloud environment.  It addresses the data resiliency, or residency rather. And that's the scenario where many of our customers has the need. You have a need because of your security compliance to have the data local to you. By having the Exadata Database in your Oracle Database@AWS, it is running in your data center. So, this addresses that very important need, data residency, to have it close to you.  It also allows for seamless integration with other AWS services and applications. So now you have a capability of a hybrid cloud architecture leveraging the benefit of both Oracle Exadata and your AWS system. It has built-in high availability, the RAC application cluster, as well as Data Guard, a capability of addressing disaster recovery capability.  This also provides the ability for you to scale your compute, as well as your storage and your I/O resources independently. So as mentioned with Exadata, you have flexibility of how you want your database to be running individually. So just like the Autonomous, the Exadata Database checks off many of the boxes for running a mission-critical with high availability, highly redundant hardware and software features, along with extreme performance, scalability, and reliability.  This now allows you to run your AI environment, your online transaction processing, your analytic workload on any scale on the Exadata Infrastructure running in the Oracle Cloud. And in this case, running in your data center.  19:45 Nikita: If a business suddenly needs more capacity, how does scaling work with Exadata Database Service versus Autonomous Database on Oracle Database@AWS?   Susan: So with the Exadata scaling, you now can scale to meet expected demands so you know at certain point I will need more. I will then ask it to scale at that point when I will assign it-- and I'm using an example, I will assign it three computer cores all the time. But there may be demands. Think of your end of the quarter, end of the year processing that you may need more. So, you are enabling the compute cores to scale at the time you need it.  And what's cool is it will then, when it's no longer needed, it will then scale back down to the original three cores that you assign. So, you only pay for the enabled cores. But what's very cool about the Autonomous is that it is real-time scaling. So, with Autonomous, now you have the capability using Autonomous Database since it is self-tuning, self-monitoring, the Autonomous Database actually monitors the workload requirement and scales to match the workload demand.  Once the minimum level of the compute is defined and enabled, the automatic scaling is set. Autonomous Database will adjust to the consumption when it's needed, and it will scale back down when it's not. So though the Exadata is pretty cool, it will scale up and down on the workload demand.  This is with the Autonomous is even more powerful. It is real-time scaling based on that usage at that moment. Built-in automatic increase to meet the workload demands when it spikes and it automatically scales back when it's not needed.  A very powerful capability with all of our Oracle databases, the ability, even with traditional, to allow you to define what you may need with Exadata scaling for peak demands, as well as Autonomous scaling for real-time consumption and scaling when needed.  When you look at all of our options, one of the key things to bear in mind is a phrase that we use: performance scale as more servers are added. And what this is really saying is Oracle's automated scaling ability for the database, it basically has the ability to maintain or improve its performance under increased workload by automatically adding computational resources when needed.  This process is also known as horizontal scaling. It involves adding more servers, compute instances, to a cluster to share the processing load. And it has that capability automatically.  22:53 Nikita: There's so much more we can discuss about Oracle Database@AWS, but let's pause here for today! Thank you so much Susan for joining us.  Lois: Yeah, it's been really great to have you, Susan. If you want to dive deeper into the topics we covered today, go to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Until next time, this is Lois Houston…  Nikita: And Nikita Abraham, signing off!  23:23 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Aaron shares an update about his recent visit out west for the vlog and other various company happenings. Questions or feedback? Email us at dirttalk@buildwitt.com! To learn more about attending the 2026 Ariat Dirt World Summit, visit www.dirtworld.com! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual.  We began with a little Perform nostalgia, from Dave Anderson's unforgettable "Full Stack Baby" moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data. Too much time spent stitching tools together. Too many dashboards. Too many alerts. The real opportunity, he argued, is turning telemetry into trusted, automated action. And that means blending deterministic AI with agentic systems in a way enterprises can actually trust. We unpacked what that looks like in practice. From United Airlines using a digital cockpit to improve operational performance, to TELUS and Vodafone demonstrating measurable ROI on stage, the emphasis at Perform was firmly on production outcomes rather than pilot projects. As Steve put it, the industry has spent long enough in "pilot purgatory." The next phase demands real-world deployment and real return. A big part of that confidence comes from the foundations Dynatrace has laid with Grail and Smartscape. By combining unified telemetry in its data lakehouse with real-time topology mapping and causal AI, Dynatrace is positioning itself as the engine behind explainable, trustworthy automation. When hyperscaler agents from AWS, Azure, or Google Cloud call Dynatrace Intelligence, they are expected to receive answers grounded in causal context rather than probabilistic guesswork. We also explored what this means for developers, who often carry the burden of alert fatigue and fragmented tooling. New integrations into VS Code, Slack, Atlassian, and ServiceNow aim to bring observability directly into the developer workflow. The goal is simple in theory and complex in execution: keep engineers in their flow, reduce toil, and amplify human decision-making rather than replace it. Of course, autonomy raises questions about risk. Steve acknowledged that for now, humans remain firmly in the loop, with most agentic interactions still requiring checkpoints. But as trust grows, so will the willingness to let systems self-optimize, self-heal, and remediate issues automatically. We closed by zooming out. In a market saturated with AI claims, Steve encouraged listeners to bet on change rather than cling to the status quo. There will be hype. There will be agent washing. But there is also real value emerging for those prepared to experiment, learn, and scale responsibly. If you want to understand where AI observability is heading, and how deterministic and agentic intelligence can coexist inside enterprise operations, this episode offers a grounded, practical perspective straight from the Perform show floor.

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

This time round Eden's giving the lowdown on her recent mocks, Asher's talking about finishing his PSHE course and shares some big news about his next steps. Mirabelle's talking about some recent books she's finished. Plus we're talking about seeing the Hunger Games show, Eden and Asher are talking about their time in the production team for an event, we're enthusing about a trip to our local games cafe, and we've got some book and game recommendations to share!

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

St Clair Newbern is the CEO of Live Energy Inc., a Colleyville, Texas-based energy broker that helps large commercial clients procure and manage their electricity and natural gas needs. Under his leadership, Live Energy has served businesses across the country for over 20 years, leveraging industry expertise and technology to optimize energy strategies for clients — he also boasts an extensive entrepreneurial background. In addition to his energy industry work, St Clair has recently launched an AI consultancy, diving deep into practical applications of autonomous AI agents and building innovative solutions for knowledge work. In this episode… In a world where automation is becoming increasingly crucial, how far can we push AI to truly enhance business operations? Imagine an AI agent that doesn't just assist with tasks but takes full ownership, running seamlessly 24/7. Could this be the future of work? According to St Clair Newbern, a seasoned entrepreneur with deep roots in AI and energy, the future lies in giving AI true autonomy. Drawing from his experience building autonomous systems, St Clair explains how an open-source AI agent, capable of managing complex projects, sending emails, and even performing research while you sleep, could revolutionize productivity. The real magic, he argues, lies in the model's ability to self-manage, persistently learn, and maintain continuity across tasks — an unprecedented level of automation that empowers businesses to scale without increasing headcount. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews St Clair Newbern, the CEO of Live Energy Inc., to discuss building and harnessing an autonomous open-source AI agent for business. St Clair shares insights on creating AI that acts like a high-performing employee, the architecture behind persistent memory in AI, and how businesses can leverage AI agents to streamline operations.

From new cancer drugs to batteries and robotics – China's top-tier growth companies are forging paths of their own rather than following in the west's footsteps. Investment manager Sophie Earnshaw names companies that have caught her eye and explains why being a long-term stock picker differs in China from elsewhere. Background:Sophie Earnshaw is a decision-maker on our China Equities Strategy and joint manager of the Baillie Gifford China Growth Trust. In this conversation, she tells Short Briefings… host Leo Kelion about a select group of Chinese companies breaking new ground, supported by the state's efforts to become self-sufficient in more of today's critical technologies and a leader in some of those of the future. Earnshaw also details how the “phenomenal rate” at which companies are born, scale and die in the country makes stock-picking a challenging task – making the access we have to company leaders, academics and other local expertise core to our mission of finding the best firms to invest in on behalf of our clients. Portfolio companies discussed include:- CATL – the battery maker whose products power electric vehicles worldwide and increasingly support the renewable energy sector- BeOne and Innovent Biologics – pharmaceutical firms developing the next generation of cancer drugs - AMEC and NAURA – semiconductor equipment makers enabling China to develop increased self-reliance in computer chips - Alibaba, ByteDance and Tencent – China's ‘big tech' companies, whose artificial intelligence tools are becoming embedded into people's daily lives- MiniMax – the AI startup rolling out video and agentic tools at a fraction of the cost of western counterparts- Horizon Robotics – the automated driving tech provider with its eye on an even bigger opportunity. Resources:Baillie Gifford podcastsChina: a tale of two storiesChina investment strategy hub (institutional clients only)House of HuaweiPrivate investor forum 2025: investing in great growth companiesTrip notes: on the road with Baillie Gifford China Growth Trust  Companies mentioned include:AlibabaAMECASMLBeOneByteDanceCATLHorizon RoboticsInnovent BiologicsJiangsu HengruiHuaweiMiniMaxSamsungNAURATencentTSMCXiaohongshu Timecodes:00:00  Introduction01:55   Joining the China Equities Strategy02:40  Intense competition04:00  The government's influence06:10   CATL, the electrification champion08:45  Investing with a 5-year time horizon10:25   Shanghai office, local expertise11:45   Regulations and geopolitics14:30   China's next Five-year Plan16:15   Innovent Biologics' new cancer drugs18:10   Lower-cost clinical trials19:45   Being selective in semiconductors21:25   Investing in chip equipment makers23:00  China's ‘big tech and AI'25:10   MiniMax making AI like ‘tap water'27:45  The road to robotics29:35  A market you can't ignore30:30  Book choice Glossary of terms (in order of mention): Third plenum: a major policy meeting of China's ruling Communist Party, often used to set big economic/political direction.Sovereign bond issuance: The government raising money by selling bonds (IOUs) to investors.Opportunity set: the range of investable companies available to choose from.Capex: capital expenditure – money spent on long-term assets like factories, equipment, or data centres.Fiscal deficit target: how much more the government plans to spend than it collects in revenue (taxes plus other income), expressed as a share of the economy.GDP: gross domestic product – the total value of goods and services a country produces in a year.Market capitalisation: the total value of a company's shares (share price × number of shares).ESG: environmental, social and governance – how a company manages environmental impact, people issues, and corporate oversight.Large-form batteries: big battery packs used in things like electric vehicles and grid storage.Energy storage systems: large batteries that store electricity for later use (helping balance the grid).Generic drugs: copies of medicines whose patents have expired; usually cheaper, same active ingredient.Bi-specific (bispecific) drugs: drugs designed to bind to two targets at once (often to direct immune cells to cancer).ADC drugs: antibody–drug conjugates – antibodies that deliver a toxic payload to cancer cells.Out-licensing: selling rights to your drug/technology to another company (often for upfront + milestone payments).EUV machines: extreme ultraviolet lithography equipment used to make the most advanced chips.Foundry: a factory business that manufactures chips for other companies.Etch and deposition: steps in chipmaking – etch removes material to form patterns, deposition adds thin layers.Picks and shovels: a metaphor for companies that sell essential tools to an industry (rather than end products).Digitalisation: moving processes and services from offline to software and data-driven systems.Compute: the processing power (chips and servers) used to train/run AI.Large language model (LLM): an AI trained on lots of text to generate and understand language.Margins: how much profit a company makes per pound/dollar of revenue (after costs).Cloud business: selling computing power/storage/software over the internet instead of on a local machine.Algorithm layer: the method or software logic that makes the AI work (as distinct from the hardware).Gross margin: revenue minus direct costs (before overheads), a rough measure of product profitability.Assisted driving: features that help a driver (lane-keeping, adaptive cruise control, etc) but don't fully replace them.Autonomous driving: a car driving itself with minimal or no human input.Software attachment rate: the percentage of customers who add paid software features and/or subscriptions.

What do halal and kosher really mean? It's a practice focused on specific ethnicities and religious practices. Pam Jahnke sits down with Abdullah Hussaini, a commodity broker with Equity Cooperative and a lamb producer. He says as the ethnic makeup of the U.S. changes, these niche markets are exploding with opportunity for lamb if you know the calendar and how to grow it.The Love Shack might be the ice shanty for some folks this weekend - expect slush on the top of the ice with the warm, sunny temperatures, according to today's Compeer Financial Ag Weather Update with Stu Muck. Remember, no ice is 100% safe!The Archies say it best -- Oh, honey, honey! We take a peek inside the Old Farmer's Almanac and find out that honey can be a big help during cold and flu season. A hot toddy is the way to go!She thinks your tractor's sexy, but what if it drives itself? Ben Jarboe sits down with Brian Luck, an associate professor of Biological Systems Engineering at UW-Madison. Luck says he expects to see autonomous tractors in the fields in the next 5 years, and explains why the idea of more farmers using them is becoming more real.Is chicken, pork, or beef on the Valentine's dinner menu? Extension specialist and Professor Brenda Boetel says as beef and pork supplies tighten and prices climb, chicken is swooping in to fill the gap, thanks to its ability to scale production much faster than red meat. She also tells Kiley Allan that producers should keep a sharp eye on marketing strategies. In this volatile market, a positive margin is never a reason to fly on autopilot.All eyes are on the Winter Olympics... dairy will have its own version March 3-5. Wisconsin Cheese Makers Association Executive Director John Umhoefer previews the World Championship Cheese Contest with Stephanie Hoff!See omnystudio.com/listener for privacy information.

Motorcycling is an exhilarating experience, offering a sense of freedom and adventure that few other activities can match. However, it also comes with inherent risks, as motorcycle riders are significantly more vulnerable to accidents and injuries than those in enclosed vehicles. In recent years, advancements in technology have led to innovative safety solutions aimed at reducing the risks associated with motorcycle riding. One such groundbreaking development is the autonomous airbag system from Alpinestars, specifically designed to enhance rider safety by providing protection before an impact occurs.Autonomous Airbag for Motorcycle SafetyAt the forefront of this technology is the Tech Air 5 Plasma, developed by Alpinestars, a company renowned for its commitment to motorcycle safety. This wearable airbag system is designed to be worn under any outer garment, offering a level of protection that traditional safety gear often lacks. What sets the Tech Air apart is its fully autonomous functionality; it utilizes a sophisticated network of tri-axial sensors integrated into a back protector to monitor the rider's movements in real-time. This continuous analysis allows the system to differentiate between normal riding conditions and the critical moments leading up to a crash.The algorithm powering the Tech Air system has been in development for over two decades, accumulating invaluable data from millions of hours of riding and thousands of recorded crashes. This extensive research has enabled the system to accurately predict when a rider is about to experience an impact, allowing the airbag to deploy just before the rider hits the ground. This preemptive deployment is a game-changer, as it provides an additional layer of protection that can significantly reduce the severity of injuries sustained during accidents.The versatility of the Tech Air system is evident in its various modes tailored to different riding conditions, including street, off-road, and race modes. This adaptability ensures that riders can benefit from the airbag's protection regardless of their riding style or environment. For instance, a casual commuter can utilize the street mode for everyday riding, while a professional racer can take advantage of the race mode, which is optimized for high-speed and high-lean scenarios. This level of customization enhances the airbag's effectiveness, making it a valuable tool for riders of all skill levels.A Revolutionary Step in Rider ProtectionOne of the most compelling aspects of the Alpinestars Tech Air system is its real-world application and proven efficacy. High-profile motorcycle racers, such as MotoGP champion Marc Marquez, have incorporated the airbag into their gear, demonstrating its reliability in extreme conditions. The visible deployment of the airbag during races showcases its ability to protect riders in critical moments, underscoring the technology's potential to save lives and reduce injuries.Despite its advanced technology, the Tech Air system is designed to be user-friendly. Riders are encouraged to wear the airbag under garments that allow for sufficient room for expansion upon deployment, ensuring that the airbag can function effectively. This consideration for rider comfort and practicality is essential, as it encourages more riders to adopt this innovative safety gear.The availability of the Tech Air system to the general public marks a significant milestone in motorcycle safety. Casual riders, who may not participate in racing or off-road competitions, can now access this cutting-edge technology, further democratizing safety in the motorcycling community. As awareness of the benefits of autonomous airbags grows, it is likely that more riders will consider incorporating these systems into their safety gear, ultimately contributing to a reduction in motorcycle-related injuries and fatalities.ConclusionIn conclusion, the autonomous airbag system from Alpinestars represents a transformative advancement in motorcycle safety. By combining sophisticated sensor technology with a deep understanding of riding dynamics, the Tech Air 5 Plasma offers riders a proactive means of protection against the dangers of motorcycling. As more riders embrace this innovative safety solution, the future of motorcycle riding looks increasingly secure, allowing enthusiasts to enjoy their passion with greater peace of mind.Interview by Marlo Anderson of The Tech Ranch.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

Motorcycling is an exhilarating experience, offering a sense of freedom and adventure that few other activities can match. However, it also comes with inherent risks, as motorcycle riders are significantly more vulnerable to accidents and injuries than those in enclosed vehicles. In recent years, advancements in technology have led to innovative safety solutions aimed at reducing the risks associated with motorcycle riding. One such groundbreaking development is the autonomous airbag system from Alpinestars, specifically designed to enhance rider safety by providing protection before an impact occurs.Autonomous Airbag for Motorcycle SafetyAt the forefront of this technology is the Tech Air 5 Plasma, developed by Alpinestars, a company renowned for its commitment to motorcycle safety. This wearable airbag system is designed to be worn under any outer garment, offering a level of protection that traditional safety gear often lacks. What sets the Tech Air apart is its fully autonomous functionality; it utilizes a sophisticated network of tri-axial sensors integrated into a back protector to monitor the rider's movements in real-time. This continuous analysis allows the system to differentiate between normal riding conditions and the critical moments leading up to a crash.The algorithm powering the Tech Air system has been in development for over two decades, accumulating invaluable data from millions of hours of riding and thousands of recorded crashes. This extensive research has enabled the system to accurately predict when a rider is about to experience an impact, allowing the airbag to deploy just before the rider hits the ground. This preemptive deployment is a game-changer, as it provides an additional layer of protection that can significantly reduce the severity of injuries sustained during accidents.The versatility of the Tech Air system is evident in its various modes tailored to different riding conditions, including street, off-road, and race modes. This adaptability ensures that riders can benefit from the airbag's protection regardless of their riding style or environment. For instance, a casual commuter can utilize the street mode for everyday riding, while a professional racer can take advantage of the race mode, which is optimized for high-speed and high-lean scenarios. This level of customization enhances the airbag's effectiveness, making it a valuable tool for riders of all skill levels.A Revolutionary Step in Rider ProtectionOne of the most compelling aspects of the Alpinestars Tech Air system is its real-world application and proven efficacy. High-profile motorcycle racers, such as MotoGP champion Marc Marquez, have incorporated the airbag into their gear, demonstrating its reliability in extreme conditions. The visible deployment of the airbag during races showcases its ability to protect riders in critical moments, underscoring the technology's potential to save lives and reduce injuries.Despite its advanced technology, the Tech Air system is designed to be user-friendly. Riders are encouraged to wear the airbag under garments that allow for sufficient room for expansion upon deployment, ensuring that the airbag can function effectively. This consideration for rider comfort and practicality is essential, as it encourages more riders to adopt this innovative safety gear.The availability of the Tech Air system to the general public marks a significant milestone in motorcycle safety. Casual riders, who may not participate in racing or off-road competitions, can now access this cutting-edge technology, further democratizing safety in the motorcycling community. As awareness of the benefits of autonomous airbags grows, it is likely that more riders will consider incorporating these systems into their safety gear, ultimately contributing to a reduction in motorcycle-related injuries and fatalities.ConclusionIn conclusion, the autonomous airbag system from Alpinestars represents a transformative advancement in motorcycle safety. By combining sophisticated sensor technology with a deep understanding of riding dynamics, the Tech Air 5 Plasma offers riders a proactive means of protection against the dangers of motorcycling. As more riders embrace this innovative safety solution, the future of motorcycle riding looks increasingly secure, allowing enthusiasts to enjoy their passion with greater peace of mind.Interview by Marlo Anderson of The Tech Ranch.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

Autonomous vehicle technology has moved past human-coded rules and into an era of neural networks and custom computer chips. And to solve the most difficult driving scenarios, electric vehicle company Rivian abandoned its original technology platform to build a vertically integrated data stack. Sarah Guo sits down with Rivian Founder and CEO RJ Scaringe to explore the seismic shift in the automotive industry toward AI-driven, software-defined vehicles . RJ discusses the move away from function or domain-based architecture for vehicle electronic systems to software-defined architecture, which allows for dynamic, monthly updates to features in Rivian's vehicles. RJ also talks about the upcoming launch of Rivian's R2 model, which aims to be a distinct, affordable, mass-market alternative to the Tesla Model Y. Plus, RJ shares his vision for a future where vehicles don't just drive us, but inspire personal freedom and exploration. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @RJScaringe | @Rivian  Chapters: 00:00 – Cold Open00:35 – RJ Scaringe Introduction0:58 – Rivian's Autonomy Evolution05:19 – Why Rivian's Tech is Vertically Integrated10:06 – Levels of Autonomous Driving Technologies14:00 – Importance of a Software-Defined Architecture19:28 – Differentiating Autonomous Vehicle Models23:20 – R2: The First Mass Market Autonomous Vehicle25:02 – Do Americans Want EVs?29:05 – How Our Relationship to Vehicles is Evolving30:45 – Conclusion

Peter & Dave sit down with Brett Adcock to discuss the future of Figure and Humanoid Robots.  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Brett Adcock is the founder of Figure, an AI robotics company developing general-purpose humanoid robots. Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Dave Blundin is the founder & GP of Link Ventures – My companies: Apply to mine and Dave's new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   _ Connect with Brett: X Website: https://www.brettadcock.com/ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Listen to MOONSHOTS: Apple YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta, TikTok, Snap agree to be evaluated under new teen safety rating system, TikTok rolls out “Local Feed” in the U.S., Samsung announces iGalaxy Unpacked event on February 25th. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. IfContinue reading "Uber, Baidu To Launch Fully Autonomous Ride-Hailing in Dubai – DTH"

In this episode of Liftoff, Keith sits down with Amos Bar-Joseph, Co-Founder and CEO of Swan AI, to explore a radical shift in how modern companies scale.Amos shares why the traditional belief that growth equals headcount is breaking down—and how AI is enabling a new model: the autonomous business. At Swan, scale is no longer about adding people—it's about increasing ARR per employee by embedding intelligence directly into workflows.They unpack:Why the old “cog culture” model is collapsing What collaborative autonomy really meansHow Swan's AI GTM Engineer turns ideas into live go-to-market workflowsWhy execution—not creativity—is what AI should automateAnd why go-to-market innovation is now more important than product innovationThis is a must-listen for founders, operators, and GTM leaders navigating the AI-native era.Connect with Amos Bar-Joseph: Website: https://getswan.com/ LinkedIn: https://www.linkedin.com/in/amos-bar-joseph/ Subscribe for more founder insights and hit the bell for notifications! Follow us on our channels for exclusive startup content and behind-the-scenes insights from interviews like this one. - Spotify: https://open.spotify.com/show/3cFpLXfYvcUsxvsT9MwyAD?si=f5a14e779777487dApple Podcasts: https://podcasts.apple.com/ca/podcast/liftoff-with-keith-newman/id1560219589Substack: https://keithnewman.substack.com/Newman Media Studios: https://newmanmediastudios.com/ LinkedIn: https://www.linkedin.com/company/liftoffwithkeithTikTok: https://www.tiktok.com/@keithnewman74 For sponsorship inquiries, please contact: sponsorships@wherewithstudio.com#AutonomousBusiness #AIinBusiness #CollaborativeAutonomy #FutureOfWork #GTMInnovation #SaaSFounders #StartupScaling #AIWorkflows #AgenticAI

From AI breakthroughs to space exploration, the next decade promises to be the most transformative yet. In this episode, I explore 10 metatrends that will reshape our lives, health, and work. These trends are already taking shape, so understanding them is key to staying ahead.We explore the abundance of food, energy, and education, driven by solar-powered systems and AI-powered learning. We also discuss how AI and quantum technologies will revolutionize medicine and scientific discovery.Plus, we talk about how the future of transportation, finance, and local manufacturing is being redefined by autonomous vehicles, digital finance, and on-demand production.“The question is not whether these changes will happen, it's whether you will be positioned to benefit from them.” ~ Vikram RayaIn This Episode:- #1: Abundance of food, energy, and education- #2: AI and quantum intelligence- #3: The robot revolution- #4: Programmable biology- #5: Demonetization of everything- #6: Autonomous transport- #7: Local and automated manufacturing- #8: Digital and borderless finance- #9: The metaverse and immersive learning- #10: Becoming a space-faring civilizationResources:➡️ Free community of high-performing physicians: the Physician Wealth Accelerator - https://limitless-md.mn.co/➡️ Check out my programs - https://vikramraya.com/coaching/➡️ Apply to become a Limitless MD - https://www.i8mastermind.com/➡️Claim Your Free 30-minute discovery call and $500 off your engagement with Hall CPA: https://go.therealestatecpa.com/limitless Connect with Vikram:Website: https://vikramraya.com/Instagram: https://www.instagram.com/vikramraya/Facebook: https://www.facebook.com/VikramrayamdLinkedIn:https://www.linkedin.com/in/vikramraya/YouTube: https://www.youtube.com/channel/UCdq9M-kD0L2hy1UlfOK-hwQSpecial Thank You to Music Provided by Music Library: https://soundcloud.com/music-library-non-copyrighted-sounds/300-violin-orchestra-jorge-quintero-copyright-and-royalty-free

Nathan Wood, author of "Bombs, Bots, and the Principle of Distinction: The Law of Armed Conflict and Contemporary Warfare," speaks on the principle of distinction in an age of autonomous warfare. He argues that while some concerns about these technologies are valid, we must move beyond general debates to address the specific legal and operational realities of concrete systems. Our conversation explores how the US military can utilize these advancements while maintaining a fundamental, felt sense of human responsibility. Hosts: Sheena Chestnut Greitens and Ryan Vest Producer: Jordan Morning

After Ouster (OUST) announced its acquisition of StereoLabs, the stock jumped 10% on Monday's session. The company's CEO and co-founder, Angus Pacala, explains how the acquisition allows Ouster to build a "unified" platform combining AI compute, cameras, and LiDAR in its autonomous tech. StereoLabs CEO Cecile Schmollgruber talks about how her company built the camera technology by studying human vision. ======== 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

The Defense Department is backing a new study to see whether an autonomous oxygen system can help medics deliver safer, more precise care in the field. The University of Colorado Anschutz team will test the O2matic technology in real prehospital settings to see if it can lighten medics' workload, conserve oxygen, and improve survival in both military and civilian emergencies.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Malicious code is making its way into VS Code extensions this week, as two Chinese-based AI coding assistants are identified as capturing every file on a user's computer and sending it to servers in China without their knowledge or consent. Please just be cautious about what you're installing on your machines, folks.In related news, the Deno team has introduced Deno sandboxes to create and deploy secure, isolated VMs in the cloud. Strict permissions, network policies, directories, and isolated secrets—make these sandboxes great for AI agents, or any other dynamic workload where speed and security are paramount.And the software going viral this week is OpenClaw (aka Clawdbot aka Moltbot), which is an open source, autonomous AI agent that runs locally on a user's machine. OpenClaw can connect to LLMs and perform tasks like managing emails, scheduling, reorganizing local files or other daily tasks, and is designed to be proactive rather than just reacting to prompts. It's truly the Wild West giving an AI agent access to read all the files on a machine or respond to emails on its own, so be careful out there, folks.Timestamps:1:07 - VS Code AI plugins are stealing data10:47 - Deno sandboxes16:09 - OpenClaw43:41 - More Gemini features are coming to Chrome45:33 - Apple containers46:44 - What's making us happyNews:Paige - VS Code AI plugins are stealing all the data of users computers (silently)Jack - Deno sandboxesTJ - OpenClaw (aka Clawdbot aka Moltbot) and our lack of trust for AI agentsLightning News: More Gemini features are coming to ChromeApple ContainersWhat Makes Us Happy this Week:Paige - Claude CodeJack - Sneakers movieTJ - Firefox browserThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

The McKinsey Technology Trends Outlook 2025 highlights 13 transformative technology trends impacting global business. Artificial intelligence serves as a foundational amplifier for other technologies, enhancing robotics, bioengineering, and energy systems. Agentic AI is emerging, creating virtual coworkers that autonomously plan and execute workflows. Semiconductor innovations are responding to increased AI demands, leading to new products and ecosystems. Quantum technologies offer potential in cryptography and material science. Autonomous systems and human-machine collaboration are advancing, emphasizing the need for responsible innovation. Investment in frontier technologies has stabilized and rebounded, with cloud computing and bioengineering seeing increased equity investment.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

AI and robotics professor Noel Sharkey reveals how a deep dive into U.S. military roadmaps shattered his faith in “benevolent” robotics, exposing a global rush toward fully autonomous killer machines with zero accountability. He details DARPA's push for armed humanoid robots, autonomous drone jets, and ground-based weapons platforms—sold to the public as rescue tools while quietly designed for assassination and domestic control.Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

The drone revolution is here — and it's transforming retail, logistics, and the future of mobility. In this episode, Aaron Starks, President & CEO of 47G, breaks down how autonomous delivery, air taxis, and advanced aerospace technology are reshaping the way products move and consumers shop. You'll learn: • How autonomous drones will change last‑mile delivery and retail logistics • Why Utah is becoming a national hub for aerospace, defense, and air mobility • What retailers must prepare for as air taxis and drone delivery scale nationwide A deep, forward‑looking conversation for anyone building, investing in, or operating the future of commerce.  

Charles Acknin is Co-Founder and CEO of Skyways.  Skyways is building unmanned aircraft systems designed to revolutionize autonomous cargo transportation. Unlike many competitors still in development, Skyways' aircraft are operational today — carrying meaningful payloads over significant distances for both military and commercial customers. Based in Austin, Skyways is now shifting toward mass production of its autonomous aircraft, building confidence through real-world cargo missions that could ultimately enable future passenger applications. At Skyways, Charles leads the company's strategic vision and oversees operations, product development, and growth initiatives in autonomous aviation. Prior to Skyways, Charles co-founded and served as CEO of Elixir Labs. Before that, he was a Senior Software Engineer at Google, where he worked on the company's search engine for nearly five years and spent a year advancing Google's mission of universal accessibility. Earlier in his career, Charles held engineering roles at Oracle, Cosworld-Asia in Shanghai, and Amadeus. He also participated in Google Summer of Code, contributing to the open-source version control system Subversion. Charles holds a Master of Science in Software Engineering from Oxford Brookes University and a Master of Science in Computer Science from SUPINFO. In this episode of the Drone Radio Show, Charles shares how Skyways is turning autonomous cargo drones from experimental technology into dependable, scalable logistics systems.

Since inception, ARK has researched and published thoughts on the cryptocurrency ecosystem within Big Ideas and through articles, whitepapers, monthly Bitcoin reports and podcasts. Now, in coordination with Bitcoin Park, ARK is pleased to introduce a monthly conversation with leaders in the Bitcoin space, to discuss everything happening in the rapidly-changing and still nascent Bitcoin ecosystem. Published through the For Your innovation podcast channels, this monthly series aims to be informative and enlightening, including experts with diverse viewpoints. In this episode, Cathie Wood and guests reflect on ARK's decade-long Bitcoin journey—from early research to its prominent role in Big Ideas 2026—and debate Bitcoin's evolving thesis amid shifting macro conditions. The conversation distinguishes Bitcoin as “freedom technology” versus stablecoins as more “humanitarian” but censorable tools, while exploring institutional adoption, emerging-market use cases, and gold's relationship to Bitcoin as a hedge. The group then pivots to the convergence of Bitcoin, AI, and decentralized social (Noster), highlighting “vibe coding,” open-source acceleration, and the rise of autonomous agents—ending with a forward-looking vision of 2030 shaped by autonomous mobility, healthcare breakthroughs, and expanding digital/space frontiers.Guests on this month's Bitcoin Brainstorm include: Lorenzo Valente: Director of Digital Assets, ARK InvestAlex Gladstein: Chief Strategy Officer (CSO), Human Rights Foundation (HRF) Tuur Demeester: Founder, Adamant CapitalAlex Gleason: Open-source developer / Soapbox developer; formerly Head of Engineering at Truth Social.Rapha Zagury: Chief Investment Officer, SwanCathie Wood: Founder, CEO and CIO at ARK Invest  Rod Roudi: Founder, Bitcoin Park  Key Points From This Episode:(0:00) Intro disclaimer(1:04) Flashback: ARK's 2016 Bitcoin white paper(2:33) Bitcoin in Big Ideas — a 10-year evolution(7:49) Bitcoin vs. stablecoins: freedom tech vs. humanitarian tech(12:23) Personal stories: Brazil, inflation, and Bitcoin's role(17:14) Tuur on Bitcoin cycles, gold correlation, and price thesis(26:37) Convergence: Bitcoin, AI, and decentralized social(31:41) New renaissance: vibe coding, AI agents, and entrepreneurship(34:24) Open source, Claude bots, and encrypted personal AI(46:44) Autonomous agents exchanging Bitcoin(48:19) Dreaming of 2030: freedom tech and decentralization(52:17) Bitcoin mining, energy, and infrastructure(56:11) Cathie: AI's biggest opportunities — mobility and healthcare Learn more about Bitcoin Park: bitcoinpark.com 

Autonomous taxis are already part of everyday life in some cities. What will it be like when self-driving car tech gets up to full speed ? And we find out how scientists are using quantum sensing technology to peer inside soldiers' brains on the firing range.Presenter: Chris Vallance Producer: Tom Quinn(Image: A Zoox robotaxi containing passengers is stationary on a road. The skyscrapers of San Francisco are in the background. Credit: Zoox, Inc.)

On this episode of Live From The Compound, Josh Brown sits down with Mark Mulhern (aka Manu Invests), creator of the bestselling Substack Fundamentally Sound, to break down the long-term bull case for Uber. They dive into the rise of autonomous taxis, Wall Street's estimates for the robotaxi market, and what Tesla, Uber, and Waymo are saying about the size of the opportunity. The conversation also explores Uber's stock performance around major AV announcements and why partnerships not owning the tech may be Uber's biggest advantage. Plus: Uber's expanding autonomous network, the Lucid + Nvidia deal, and why Bill Ackman took notice of Manu's Uber thesis. If you're interested in autonomous vehicles, Uber stock, and the future of transportation, this episode is for you. Fundamentally Sound Substack: https://manuinvests.substack.com/ This episode is sponsored by Teucrium. Find out more at https://teucrium.com/agricultural-commodity-etfs Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Compound Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and never miss out! Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://instagram.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/the-compound-media/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Josh Brown are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

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 the podcast, Sleep With Me: https://www.sleepwithmepodcast.com/subscribe/ Become a Silk+ Member (FREE for a limited time!) and enjoy over 600 total episodes from these podcasts: Sleep Whispers (430+ episodes) Calm … Continue reading Trivia Time | 30 More Curious Questions & Answers (A202) | Whispered Bedtime Sleep Stories

In this episode, Kasey Evans breaks down the future of mobility—from electric vehicles to autonomous tech—and how strategic investing is reshaping entire industries. A fast, insightful look at where innovation is really headed. You'll learn: • Why EVs, batteries, and autonomous systems are redefining global transportation • How strategic investors pick winners in high‑growth, high‑risk markets • The real challenges behind building and scaling next‑gen mobility companies  

Are autonomous tractors and farm automation actually cost-effective? In this episode of the Purdue Commercial AgCast, Chad Fiechter and Josh Strine discuss new research on the economics of large-scale autonomous farm machinery and what it means for machinery investment and labor strategy on commercial corn and soybean farms. The results show that under today's performance and cost levels, most farms aren't yet in the economic “ballpark” for autonomy — helping producers understand when it could make sense and when it likely doesn't. The conversation covers machinery efficiency, hardware and software costs, labor wages, and equipment operating hours, along with how these factors affect profitability in whole-farm systems. It also explores where autonomous equipment might work first — including labor-constrained farms, expansion situations, and specific field operations — and how future improvements in technology could shift the outlook.  

Stu Landesberg is Co-founder and CEO of Seneca, a company developing autonomous aerial systems to detect and suppress wildfires before they grow out of control. Designed for rapid initial response, Seneca's technology deploys robotic aircraft that launch within minutes, helping protect homes, infrastructure, and communities in fire-prone regions.In this episode of Inevitable, Landesberg shares why he left Grove—his first company focused on sustainable consumer goods—to tackle what he sees as a civilization-level challenge: early wildfire intervention. The conversation explores how climate conditions, outdated fire cycles, and insurance market failures have converged to threaten life in the American West. Landesberg walks through Seneca's approach to changing that trajectory: distributed strike teams of large autonomous suppression copters, built in the U.S., designed to reach fires faster than any existing response method. He also unpacks the product's potential for mop-up operations, prescribed burns, and utility asset protection.In this episode, we cover:(2:40) Wildfire as a threat to housing and the economy(10:07) The urgent need for faster fire response(15:12) Why helicopters aren't a scalable solution(20:03) New use cases beyond initial attack(28:25) What autonomy looks like in practice(33:11) Why Seneca isn't just another drone company(38:21) Wildfire as a climate and national security risk(46:18) Seneca's first deployments and what's nextLinks:Stuart Landesberg on LinkedIn: https://www.linkedin.com/in/stuartlandesbergSeneca: https://seneca.com/ Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

2. Minneapolis Situation & ICE Confrontations A. Escalating Conflict Recent fatal confrontations between civilians and ICE agents in Minneapolis. Two individuals (not known to be violent criminals) have been killed during encounters. Host urges toning down rhetoric from both political sides to prevent further escalation. B. Comparison Between Texas and Minnesota Texas sees far more ICE arrests but fewer violent confrontations. Reasons suggested: Texas law enforcement cooperates with ICE. Minnesota politicians (governor/mayor) allegedly encourage public confrontation with ICE. C. Violent Protest Structure Minneapolis protests are organized, funded, and oper­ated similarly to military groups. Reports mentioned: Surveillance operations against law enforcement Protesters allegedly sabotaging vehicles and physically attacking officers Autonomous‑zone style barricades forming in some areas 3. Responsibility & Advice Regarding Police Encounters Do not escalate encounters with law enforcement. Entering a protest with a firearm greatly increases danger for everyone involved. Legal principles discussed: Lethal force is justified if officers reasonably believe there is a threat. Officers cannot shoot fleeing suspects unless they pose serious immediate danger. 4. Media Narratives & Political Messaging A. Suburban Women as Target Audience Democrats viewed as shaping narratives (e.g., “ICE shoots mother of three,” “ICE detains 5‑year‑old”) to emotionally influence suburban voters. Hosts argue some widely publicized stories were misleading or false. B. Claims of Political Motives Democrats are using these incidents to distract from: A major Minnesota fraud scandal involving billions of dollars. Each new confrontation diverts media attention from that scandal. 5. Anticipated Government Shutdown A. Democrat Position Multiple Democratic leaders publicly oppose funding DHS/ICE at current levels. Statements from Senators (Schumer, Warren, Murphy) emphasize refusal to pass DHS funding bill without ICE restrictions. B. Hosts’ Conclusion They expect a government shutdown, driven by attempts to: Defund or weaken ICE Appeal to progressive voters Control political narrative ahead of elections Shutdown would affect agencies not yet funded (e.g., Defense, Labor, Education, HHS, HUD, DHS). Please Hit Subscribe to this podcast Right Now. Also Please Subscribe to the 47 Morning Update with Ben Ferguson and The Ben Ferguson Show Podcast Wherever You get You're Podcasts. And don't forget to follow the show on Social Media so you never miss a moment! Thanks for Listening YouTube: https://www.youtube.com/@VerdictwithTedCruz/ Facebook: https://www.facebook.com/verdictwithtedcruz X: https://x.com/tedcruz X: https://x.com/benfergusonshowYouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.

Oh, and Apple has new Air Tags. But SMALL ROBOT!Starring Tom Merritt and Robb Dunewood.Show notes can be found here. Hosted on Acast. See acast.com/privacy for more information.

Hello everybody :) I made this video on Mar 24, 2012 as a Thank YOU for 20.000 subs omg.. Im in shock :O Thank YOU SOOOO MUCH!! and to replace my old "Nurse" video that seemed to create alot of controversy over the time.I will make it unlisted and post below as a link so you still have access to it. :) In this video I will gather some of info while typing on the computer, do a followup check up with lots of close ups and give you a nice shoulder massage and some neck stretching :) Enjoy. ♥Link to the Nurse video: http://www.youtube.com/watch?v=7Prk3pxAE10Nailpolish: SallyHansen nailgrowth miracle number 220 Honor ;)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 #Gentlewhispering1/6/13