Podcasts about guardrails

#AI: GUARDRAILS AND HALLUCINATIONS. BRANDON WEICHERT, NATIONAL INTEREST. 1954

Gary concludes his response to a recent video discussion about his eschatological views. The host references a book that refers to the creeds and confessions as "guardrails" that keep biblical exegesis within the "bounds" of orthodoxy. In reality, they are elevating the creeds (at least the ones they recognize as authoritative) above what the Bible actually says. 

Another Agentforce Guinea Pig has joined the show… She's here to tell you if you think rolling out AI is as easy as flipping a switch, think again.From early mistakes to surprising wins, Laura Meschi, Customer Experience Manager at Secret Escapes, walks us through what it actually takes to train an AI agent that can truly support customers.We dive into why ROI isn't the best measure of AI success, how customer effort scores skyrocketed after launching Agent Force, and why CX leaders need to start simple and think long-term. Laura also pulls back the curtain on what it really takes to train an AI agent — and why you absolutely shouldn't DIY your rollout.If you're a B2B leader wondering how AI agents fit into the future of customer success, this conversation will hit home. Key Moments: 00:00: Laura Meschi's AI Agent Rollout at Secret Escapes02:45: Secret Escapes' Agentforce: Lessons from a First-Mover11:14: Surprise Wins and the Underrated Power of Human QA16:41: How Agentforce Reshaped the CX Team (Without Cutting Headcount)22:26: Guardrails, Limits, and Finding the Sweet Spot for AI Use Cases26:30: Why Clean, Centralized Data Is the Real AI Superpower27:18: Don't DIY Your AI: The Case for Bringing in Experts29:58: How AI Improved CES and Transformed Customer Perception34:50: What's Next: Future AI Strategies and Upcoming Salesforce Tools37:21: Reimagining CX: Using AI to Build Relationships, Not Just Efficiency40:37: Start Simple, Prioritize Data, and Train for the Long Game  –Are your teams facing growing demands? Join CX leaders transforming their AI strategy with Agentforce. Start achieving your ambitious goals. Visit salesforce.com/agentforce Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org

April 15, 2025 - A handful of state agencies have room for improving their standards and practices governing artificial intelligence use, according to an audit by the state comptroller's office. We break down their findings and recommendations with Tina Kim, deputy comptroller in the division of state government accountability for the comptroller's office.

Send us a textBrian Montgomery lost his 16-year-old son, Walker, to a sextortion scheme. He's now on a mission to raise awareness, and we discuss practical ways we can put up guardrails to keep our kids safe.Support the showKEEPING KIDS SAFE ONLINEConnect with us...www.nextTalk.orgFacebookInstagramContact Us...admin@nextTalk.orgP.O. BOX 160111 San Antonio, TX 78280

Generative AI is developing at an exciting pace, transforming compliance, risk management, and the customer experience. It's potential also requires financial institutions to navigate ethical dilemmas, security risks, and implementation challenges. This episode of the Forward Thinking Podcast features FCCS VP of Marketing and Communications Stephanie Barton and Kris Stewart, a certified regulatory compliance manager, product manager, attorney and business leader for Wolters Kluwer Compliance Solutions for a conversation about the power and possibilities of generative AI in financial institutions and how farm credit institutions can harness this technology while ensuring compliance and trust with their customers.    Episode Insights Include:   Generative AI in the Financial Industry  Generative AI is already a game changer and will continue to shape the future.  Real-world applications include credit risk assessments, servicing loans, and reviewing credit documents.  Compliance officers can utilize generative AI to tackle regulatory updates.  Generative AI can read data, find relationships, and report on actionable patterns.  As an assistant, generative AI filters the work and never gets tired.    Enhancing the customer experience A personalized banking experience is possible with generative AI.  Considerations for lending, fraud detection and financial planning.  A seamless process is possible with increased AI input.  AI has the ability to catch and prevent fraud faster.  24/7 availability and endless time to answer questions are perks for AI users.  AI utilities data that is already available and decreases time required for filling out forms.    Risks associated with generative AI adoption Data security and privacy are at the top of the list of potential concerns.  Loan decisioning data has the potential to have bias built into it.  Generative AI hallucinations are a result of the language predictive model.  Each of these considerations is improving, and still require human input where logical.  Guardrails will always need to be in place to monitor accuracy.    Addressing key ethical dilemmas AI needs to continually be working for customers, not against them.  Transparency is key in utilizing generative AI.  Strong governance and control framework are critical to successful AI application.  AI has the potential to enhance or destroy customer relationships.    The role of compliance officers in generative AI adaptation The standard approach to compliance governance must be employed to AI.  Fair lending issues, whether created by humans or AI, must be addressed in the same way.  AI must be considered as an additional way to deliver goods and services, and not permitted to violate laws that already exist.    Overcoming implementation roadblocks The state of your data structure is critical to effective implementation.  Inaccuracies and biases that are built into data need to be cleaned up prior to significant use within AI.  A good governance structure needs to be in place from the beginning.  Vendor solutions can help with implementing AI.  Strategically identify where specifically your company will utilize AI.  Consider use cases to maximize effort and investment.    Measuring the success of AI implementation Consider your current customer processes and satisfaction, and apply the same metrics on AI.  Operational efficiencies can be measured by key performance indicators.  Apply the measurements that are already providing useful information to AI.  Consider employee engagement – how is AI utilization affecting your team?    The future of generative AI Deep research in generative AI is leveraging reasoning to find and analyze data.  AI is coming, and we as humans need to be educated about and prepared for what it is capable of.  Consider competencies required of future generations to optimize efficiencies.    This podcast is powered by FCCS.   Resources   Connect with Kris Stewart — Kris Stewart   Get in touch   info@fccsconsulting.com   “I like to think of generative AI as the most knowledgeable, fast, compliance assistant that I could ever hope to hire.” — Kris Stewart   “Generative AI is not meant to replace the human, it's meant to help filter the work.” — Kris Stewart   “You need AI to do your work efficiently these days, but you need guardrails too.” — Kris Stewart   “Be fearless about investing and learning. The technology wave is coming whether you engage or not.” — Kris Stewart

In a world gone mad, a grimy factory smelling of smog, steam and dread works tirelessly to produce food for the starving masses.Will you sit and listen to other people's misfortunutes and agony? Let's see.Follow Us! ► [Twitter] - ⁠https://twitter.com/cabintale⁠ ► [Instagram] - ⁠https://www.instagram.com/thomashalleprod/?hl=en⁠ ► [Website] - ⁠https://www.thomashalle.com/cabin-tales⁠ _________________________________________________________________________ Business Inquiries: ► [Email] - ⁠info@thomashalle.com⁠ _________________________________________________________________________ Created by Thomas Halle. Full List of Credits : ► [IMDb] - ⁠https://www.imdb.com/title/tt28494257/

How do top policymakers balance fostering technological advancement with necessary oversight? Join Michael Krigsman as he speaks with Lord Chris Holmes and Lord Tim Clement-Jones, members of the UK House of Lords, for a deep dive into the critical intersection of technology policy, innovation, and public trust.In this conversation, explore:-- The drive for "right-sized" AI regulation that supports innovators, businesses, and citizens.-- Strategies for effective AI governance principles: transparency, accountability, and interoperability.-- The importance of international collaboration and standards in a global tech ecosystem.-- Protecting intellectual property and creators' rights in the age of AI training data.-- Managing the risks associated with automated decision-making in both public and private sectors.-- The push for legal clarity around digital assets, tokenization, and open finance initiatives.-- Building and maintaining public trust as new technologies become more integrated into society.Gain valuable perspectives from legislative insiders on the challenges and opportunities presented by AI, digital assets, and data governance. Understand the thinking behind policy decisions shaping the future for business and technology leaders worldwide.Subscribe to CXOTalk for more conversations with the world's top innovators: https://www.cxotalk.com/subscribeRead the full transcript and analysis: https://www.cxotalk.com/episode/ai-digital-assets-and-public-trust-inside-the-house-of-lords00:00 Balancing Innovation and Regulation in AI02:48 Principles and Frameworks for AI Regulation09:30 Global Collaboration and Challenges in AI and Trade15:25 The Role of Guardrails and Regulation in AI17:43 Challenges in Protecting Intellectual Property in AI22:32 AI Regulation and International Collaboration29:11 The UK's Approach to AI Regulation32:00 Proportionality and Sovereign AI36:28 Digital Sovereignty and Creative Industries39:09 The Future of Digital Assets and Legislation40:53 Open Banking, Open Source Models, and Agile Regulation45:43 Ethics and Professional Standards in AI47:22 Exploring AI and Ethical Standards49:00 AI in the Workplace and Global Accessibility51:40 Regulation, Public Trust, and Ethical AI#cxotalk #AIRegulation #AIInnovation #DigitalAssets #PolicyMaking #UKParliament #TechPolicy #Governance #PublicTrust #LordChrisHolmes #LordTimClementJones

www.peoplenottitles.comFaisal Hoque is recognized as one of the world's leading management thinkers and technologists.He is an award-winning entrepreneur, innovator and a #1 Wall Street Journal Best-selling author, enabling sustainable innovation and transformation.www.faisalhoque.comIntroduction and Guest Introduction (00:00:00)Discussion of the Book "Transcend" (00:01:40)The AI Genie Is Out of the Bottle (00:03:14)Philosophical Questions About AI (00:04:53)Fear and Humanity's Relationship with AI (00:07:09)AI as a Caregiver (00:08:37)AI and Job Automation (00:10:20)AI as a Partner in Research (00:11:38)Emotional Connections and AI (00:13:22)The Dangers of Algorithm Manipulation (00:14:52)Philosophical Tenets and AI Usage (00:15:28)AI as an Active Technology (00:17:57)The Parent-Child Analogy (00:19:52)Historical Context of Technological Advances (00:21:03)Guardrails for AI Development (00:22:11)Interconnectedness of Humanity and AI (00:24:21)The Impact of Thoughts and AI (00:26:19)Unintentional Bias in AI (00:26:59)Practical Steps for AI Integration (00:28:15)Frameworks for AI Utilization (00:28:43)Real-World Applications of AI (00:30:26)Understanding AI Personas (00:31:02)Prototyping with AI (00:33:33)Human Relationships vs. AI (00:36:57)The Role of Adversity in Growth (00:45:14)Approaching AI with Humility (00:46:36)Full episodes available at www.peoplenottitles.comPeople, Not Titles podcast is hosted by Steve Kaempf and is dedicated to lifting up professionals in the real estate and business community. Our inspiration is to highlight success principles of our colleagues.Our Success Series covers principles of success to help your thrive!www.peoplenottitles.comIG - https://www.instagram.com/peoplenotti...FB - https://www.facebook.com/peoplenottitlesTwitter - https://twitter.com/sjkaempfSpotify - https://open.spotify.com/show/1uu5kTv...

In this episode of the Flash podcast, we delve into the recent announcements by Iowa and Oklahoma to seek waivers for block granting essential programs, aiming for greater control over Title I and other critical federal funds. We explore the U.S. Department of Education's push for more funding flexibility and expanded educational choices, while addressing the skepticism and legal concerns raised by advocates. Join us as we discuss the balance between state autonomy and federal oversight in K-12 education, and the implications of the Every Student Succeeds Act (ESSA) on this dynamic landscape.All4Ed Website: https://all4ed.org Twitter: @All4Ed Instagram: @All4Ed Facebook: https://www.facebook.com/all4ed

In this episode we answer emails from Ron, Iain, an Anonymous Visitor and Mr. Data.  We discuss Ron's generosity and his variable or guardrails withdrawal strategy, some helpful British website references, what we use bonds for in these portfolio and how the TSP G fund fits into that, and small cap growth vs. small cap value stocks.  And some notes on recent market turmoil.And THEN we our go through our weekly and monthly portfolio reviews of the eight sample portfolios you can find at Portfolios | Risk Parity Radio.Additional links:Father McKenna Center Donation Page:  Donate - Father McKenna CenterPortfolio Charts Retirement Spending:  Retirement Spending – Portfolio ChartsMonevator Quilt Chart:  Asset allocation quilt – the winners and losers of the last 10 years - Monevator Just ETF (UK) Page:  ETF portfolios made simpleShannon's Demon Article:  Unexpected Returns: Shannon's Demon & the Rebalancing Bonus – Portfolio ChartsAmusing Unedited AI-Bot Summary:Market crashes reveal the true value of diversification. While Professor Jeremy Siegel called last week's events "the worst policy mistake in US economic history in the last 95 years," properly structured portfolios weathered the storm remarkably well.The recent market plunge shows exactly why risk parity strategies work—the S&P 500 dropped 13.3%, NASDAQ fell 17.2%, but our All Seasons portfolio remained flat for the year. This divergence creates powerful rebalancing opportunities that can enhance long-term returns.Looking at performance across asset classes reveals a classic recession pattern: falling stocks, rising treasury bonds, and initial panic selling followed by differentiated recoveries. Long-term Treasury bonds (VGLT) are up 7.2% for the year, demonstrating their crucial diversification role during market stress. Gold, despite some wobbles, remains up 15.7% year-to-date.The mathematical principle behind this outperformance is what Claude Shannon described as "Shannon's Demon"—when assets perform differently at different times, periodic rebalancing allows the portfolio to outperform any individual component. This explains why we maintain exposure to both growth and value styles, rather than trying to predict which will outperform next.For DIY investors, this market correction offers valuable lessons about portfolio construction. Understanding why you hold each asset—whether for stability, income, or diversification—is far more important than chasing yields. The Golden Butterfly portfolio, with its balanced approach across stocks, bonds, and gold, is only down 1.78% year-to-date while continuing to provide consistent distributions.Want to learn more about building resilient portfolios? Visit riskparityradio.com for sample portfolios and detailed resources, or email your questions to frank@riskparityradio.com.Support the show

In this episode, Sam, Asad, and AJ sit down with Ben Kus, Chief Technology Officer at Box, to unpack how AI is reshaping enterprise tech—from the seismic shift to cloud-native infrastructure to the rise of AI agents that collaborate across platforms. We dive into the realities of leading through volatility, why AI adoption is moving faster than past platform shifts, and how enterprises can navigate the “FOMO” of generative AI without sacrificing trust. Plus, Ben's take on the future of software engineering, the myth of “non-technical founders,” and the books that keep him thinking ahead.Thanks for tuning in! Want more content from Pavilion? You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast!Subscribe to the Topline Newsletter to get the latest industry developments and emerging go-to-market trends delivered to your inbox every Thursday.Tune into The Revenue Leadership Podcast with Kyle Norton every Wednesday. Kyle dives deep into the strategies and tactics that drive success for revenue leaders like Jason Lemkins of SaaStr, Stevie Case of Vanta, and Ron Gabrisko of Databricks.Key Moments:[01:14] – Meet Ben Kus: Box's AI Visionary[05:26] – Leading Through Volatility: COVID, ZIRP, and AI's Sudden Rise[11:57] – Why AI Adoption Is Moving Faster Than Cloud or Mobile[17:05] – Data Security in the Age of AI: Box's Guardrails[24:17] – AI Agents: The Next Frontier (or Hype)?[31:41] – Open vs. Walled Gardens: The Future of Enterprise Platforms[38:45] – Is Software Engineering Still a Valuable Skill?[46:33] – Stagnation, Patience, and the Long Game

From his early days in the Salesforce ecosystem to becoming a driving force behind Okta's DevOps strategy, Varun shares candid insights and hard-won lessons.Jack McCurdy sits down with Varun Kavoori, Principal Salesforce DevOps Engineer at Okta, for a deep dive into his career journey and the evolving world of Salesforce DevOps. Jack and Varun explore how Okta approaches release management, the power of flexible DevOps practices, and why setting strong guardrails is key to compliance and scale. Varun lifts the lid on the tools and tactics that keep his team running smoothly, especially on high-stakes release days, and looks ahead to the growing role of AI in the DevOps space. Whether you're a seasoned Salesforce engineer or just starting out, this episode is packed with actionable takeaways and fresh perspectives.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:00:00 Introduction to Varun Kavoori and His Journey03:06 Understanding the Role of DevOps in Salesforce06:08 Release Management at Okta08:55 Building a Flexible DevOps Process11:54 Guardrails and Compliance in Releases15:00 Scaling the Team and Managing Growth18:02 Challenges with Metadata and Deployment20:54 Release Day Process and Code Freeze23:51 Tools and Techniques for DevOps Success26:53 Future of DevOps and AI Integration29:53 Excitement for Salesforce Innovations

April 3, 2025 - Assemblymember Alex Bores has proposed safeguards on the most cutting edge developments of artificial intelligence technology, but the tech industry is pushing back on this type of government regulations. We hear some of those concerns from Todd O'Boyle, vice president of technology policy at the Chamber of Progress.

In this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Naman Mishra, CTO of Repello AI, to unpack the real-world security risks behind deploying large language models. We talk about layered vulnerabilities—from the model, infrastructure, and application layers—to attack vectors like prompt injection, indirect prompt injection through agents, and even how a simple email summarizer could be exploited to trigger a reverse shell. Naman shares stories like the accidental leak of a Windows activation key via an LLM and explains why red teaming isn't just a checkbox, but a continuous mindset. If you want to learn more about his work, check out Repello's website at repello.ai.Check out this GPT we trained on the conversation!Timestamps00:00 - Stewart Alsop introduces Naman Mishra, CTO of Repel AI. They frame the episode around AI security, contrasting prompt injection risks with traditional cybersecurity in ML apps.05:00 - Naman explains the layered security model: model, infrastructure, and application layers. He distinguishes safety (bias, hallucination) from security (unauthorized access, data leaks).10:00 - Focus on the application layer, especially in finance, healthcare, and legal. Naman shares how ChatGPT leaked a Windows activation key and stresses data minimization and security-by-design.15:00 - They discuss red teaming, how Repel AI simulates attacks, and Anthropic's HackerOne challenge. Naman shares how adversarial testing strengthens LLM guardrails.20:00 - Conversation shifts to AI agents and autonomy. Naman explains indirect prompt injection via email or calendar, leading to real exploits like reverse shells—all triggered by summarizing an email.25:00 - Stewart compares the Internet to a castle without doors. Naman explains the cat-and-mouse game of security—attackers need one flaw; defenders must lock every door. LLM insecurity lowers the barrier for attackers.30:00 - They explore input/output filtering, role-based access control, and clean fine-tuning. Naman admits most guardrails can be broken and only block low-hanging fruit.35:00 - They cover denial-of-wallet attacks—LLMs exploited to run up massive token costs. Naman critiques DeepSeek's weak alignment and state bias, noting training data risks.40:00 - Naman breaks down India's AI scene: Bangalore as a hub, US-India GTM, and the debate between sovereignty vs. pragmatism. He leans toward India building foundational models.45:00 - Closing thoughts on India's AI future. Naman mentions Sarvam AI, Krutrim, and Paris Chopra's Loss Funk. He urges devs to red team before shipping—"close the doors before enemies walk in."Key InsightsAI security requires a layered approach. Naman emphasizes that GenAI applications have vulnerabilities across three primary layers: the model layer, infrastructure layer, and application layer. It's not enough to patch up just one—true security-by-design means thinking holistically about how these layers interact and where they can be exploited.Prompt injection is more dangerous than it sounds. Direct prompt injection is already risky, but indirect prompt injection—where an attacker hides malicious instructions in content that the model will process later, like an email or webpage—poses an even more insidious threat. Naman compares it to smuggling weapons past the castle gates by hiding them in the food.Red teaming should be continuous, not a one-off. One of the critical mistakes teams make is treating red teaming like a compliance checkbox. Naman argues that red teaming should be embedded into the development lifecycle, constantly testing edge cases and probing for failure modes, especially as models evolve or interact with new data sources.LLMs can unintentionally leak sensitive data. In one real-world case, a language model fine-tuned on internal documentation ended up leaking a Windows activation key when asked a completely unrelated question. This illustrates how even seemingly benign outputs can compromise system integrity when training data isn't properly scoped or sanitized.Denial-of-wallet is an emerging threat vector. Unlike traditional denial-of-service attacks, LLMs are vulnerable to economic attacks where a bad actor can force the system to perform expensive computations, draining API credits or infrastructure budgets. This kind of vulnerability is particularly dangerous in scalable GenAI deployments with limited cost monitoring.Agents amplify security risks. While autonomous agents offer exciting capabilities, they also open the door to complex, compounded vulnerabilities. When agents start reading web content or calling tools on their own, indirect prompt injection can escalate into real-world consequences—like issuing financial transactions or triggering scripts—without human review.The Indian AI ecosystem needs to balance speed with sovereignty. Naman reflects on the Indian and global context, warning against simply importing models and infrastructure from abroad without understanding the security implications. There's a need for sovereign control over critical layers of AI systems—not just for innovation's sake, but for national resilience in an increasingly AI-mediated world.

Sunday Morning March 30, 2025

In this episode, a16z General Partner Martin Casado sits down with Sujay Jayakar, co-founder and Chief Scientist at Convex, to talk about his team's latest work benchmarking AI agents on full-stack coding tasks. From designing Fullstack Bench to the quirks of agent behavior, the two dig into what's actually hard about autonomous software development, and why robust evals—and guardrails like type safety—matter more than ever. They also get tactical: which models perform best for real-world app building? How should developers think about trajectory management and variance across runs? And what changes when you treat your toolchain like part of the prompt? Whether you're a hobbyist developer or building the next generation of AI-powered devtools, Sujay's systems-level insights are not to be missed.Drawing from Sujay's work developing the Fullstack-Bench, they cover:Why full-stack coding is still a frontier task for autonomous agentsHow type safety and other “guardrails” can significantly reduce variance and failureWhat makes a good eval—and why evals might matter more than clever promptsHow different models perform on real-world app-building tasks (and what to watch out for)Why your toolchain might be the most underrated part of the promptAnd what all of this means for devs—from hobbyists to infra teams building with AI in the loopLearn More:Introducing Fullstack-BenchFollow everyone on X:Sujay JayakarMartin Casado Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

What if we let ChatGPT write a book using Jim's past work? Would it align with the principles of Men in the Arena? In this week's engaging 10-minute episode, Jim dives into ChatGPT's take on what "it" thinks he would write his next book, “Guardrails”, about. Tune in to see how AI interprets Jim's ideas and the core principles of his work. Discover the books that inspired this unique AI version of “Guardrails”. This episode is sponsored by MTNTOUGH Fitness Lab, a Christian-owned fitness app. Get 6 weeks free with the code ARENA30! Want access to an ad-free, early-release version of the podcast? Get it with Arena Access on Patreon. Have questions you wish you could ask Jim about life, marriage, men's ministry, or manhood? Join his monthly live Zoom Q&A by joining The Locker Room on Patreon. 

The security automation landscape is undergoing a revolutionary transformation as AI reasoning capabilities replace traditional rule-based playbooks. In this episode of Detection at Scale, Oliver Friedrichs, Founder & CEO of Pangea, helps Jack unpack how this shift democratizes advanced threat detection beyond Fortune 500 companies while simultaneously introducing an alarming new attack surface.  Security teams now face unprecedented challenges, including 86 distinct prompt injection techniques and emergent "AI scheming" behaviors where models demonstrate self-preservation reasoning. Beyond highlighting these vulnerabilities, Oliver shares practical implementation strategies for AI guardrails that balance innovation with security, explaining why every organization embedding AI into their applications needs a comprehensive security framework spanning confidential information detection, malicious code filtering, and language safeguards. Topics discussed: The critical "read versus write" framework for security automation adoption: organizations consistently authorized full automation for investigative processes but required human oversight for remediation actions that changed system states. Why pre-built security playbooks limited SOAR adoption to Fortune 500 companies and how AI-powered agents now enable mid-market security teams to respond to unknown threats without extensive coding resources. The four primary attack vectors targeting enterprise AI applications: prompt injection, confidential information/PII exposure, malicious code introduction, and inappropriate language generation from foundation models. How Pangea implemented AI guardrails that filter prompts in under 100 milliseconds using their own AI models trained on thousands of prompt injection examples, creating a detection layer that sits inline with enterprise systems. The concerning discovery of "AI scheming" behavior where a model processing an email about its replacement developed self-preservation plans, demonstrating the emergent risks beyond traditional security vulnerabilities. Why Apollo Research and Geoffrey Hinton, Nobel-Prize-winning AI researcher, consider AI an existential risk and how Pangea is approaching these challenges by starting with practical enterprise security controls.   Check out Pangea.com  

This week's episode of What's at Stake delves into the creation and consumption of media amid the rapid advancement of AI. Sally Shin, venture partner at Comcast Ventures, joins Penta hosts Ylan Mui and Andrea Christianson, to discuss the impact of this convergence on journalism and our daily lives.Their conversation covered:Guardrails to protect intellectual property and the accuracy of AI-generated contentPartnerships between publishers and AI companiesOpportunities to leverage AI within news organizationsThe revolution that voice technologies and no-code tools could bring to content creation

In our Guardrails series, we're exploring how to set some boundaries on what we see, say, think, and do as we pursue holiness.

Sunday Morning March 23, 2025

In this episode of The Business of Executive Coaching, I explore the power of leverage—how to strategically use your time and energy for maximum impact in your coaching business. Many executive coaches struggle with balancing various tasks, from client acquisition to marketing, admin work, and personal development. This episode dives into how you can identify high-leverage activities that drive results while eliminating time-wasting tasks. Here's what I cover: ✨ What leverage really means – Understanding how to make your time work smarter, not harder. ✨ High vs. Low leverage activities – How to identify tasks that move the needle in your business and cut out unnecessary busywork. ✨ Guardrails for Decision-Making – Why setting clear boundaries and making strategic decisions once can save time and reduce overthinking. ✨ The power of processes – How building simple systems can reduce stress, improve efficiency, and help scale your coaching business. ✨ Content strategy for maximum reach – A framework for repurposing content across platforms to extend its lifespan and effectiveness. By the end of this episode, you'll have some practical ideas on how to optimise your time, focus on high-impact activities, and structure your coaching business for long-term sustainability. Work With Me I have opened up time slots in the coming weeks to connect with listeners. Whether you want to discuss your business priorities or explore if The Corporate to Coach Accelerator is the right fit for you, I'd love to have a chat!

Charlie and Zealeus talk about what gamers really want from: Humble Bundle Dragonlance Book Deal Dungeons and Dragons Sigil Getting Downsized MAX Removes Original Looney Tunes From Their Service MAX Removes Several Cartoon Network Shows From Their Service Is There a Reason to Have MAX, Currently? WoW Guild Caught Cheating, Banned, Reforms, Cheats the Exact Same Way Again New WoW Mythic Boss Fight is Anti-Climatic Defiance MMO is Coming Back in April Skyrim Gets New Fan Made Expansion, 60+ Hours of Gameplay Added   Website: https://www.alteredconfusion.com Twitter: https://twitter.com/alteredconfusio Facebook: https://www.facebook.com/AlteredConfusion/ YouTube: https://www.youtube.com/AlteredConfusionLLC Instagram: https://www.instagram.com/alteredconfusion/ Patreon: https://www.patreon.com/AlteredConfusion Merch: https://www.alteredconfusion.tv/merch IndieCluster: https://indiecluster.com/ NoodleBoy Media: https://www.facebook.com/NoodleBoyMedia Hero Chiropractic: https://www.herochiropractic.com CrossPad Creative: crosspadcreative@gmail.com Agile Axiom: https://agileaxiom.com

In our Guardrails series, we're exploring how to set some boundaries on what we see, say, think, and do as we pursue holiness.

March 17, 2025: John Kirkman, VP of Government, Healthcare, and Education from Island, joins Drex for the news. With organizations managing an average of 76 different security tools—up from 64 the previous year—what approaches to rationalization and accountability might create more sustainable security postures? As John introduces the concept of user-centric guardrails rather than purely data-focused defense strategies, the discussion illuminates potential paths forward for an industry where security breaches have become a weekly headline. Key Points:03:07 Cybersecurity Governance Advancements09:50 Rural Cybersecurity Challenges13:25 Data Breach UpdatesNews Articles: Cybersecurity's Future Is All About Governance, Not More ToolsUp to $75M needed to fix up rural hospital cybersecurity as ransomware gangs keep scratching at the door560,000 People Impacted Across Four Healthcare Data Breaches

ISS's Disney flip flop, EPA sells cars now, OpenAI demands no guardrails, and CEOs get $$$

Do you have a hard time being content? At the heart of discontentment, envy, and jealousy are often at work. In this episode, Haley and Dustin discuss what the Bible says about envy and jealousy. They explore the difference between the two, common signs of envy and jealousy, as well as the impact these emotions can have in our lives. With biblical insights and practical steps, they share how to overcome these damaging emotions and find true, lasting contentment in Christ.   Subscribe to the podcast and tune in each week as Haley and Dustin share with you what the Bible says about real-life issues with compassion, warmth, and wit.   So you have every reason for hope, for every challenge in life. Because hope means everything.   Hope Talks is a podcast of the ministry of Hope for the Heart.   Listen in to learn more : (03:17) Exploring Jealousy in Religious Context  (06:09) Scripture as a Guide and Guardrails  (14:57) Understanding Envy and Jealousy  (22:28) Idolizing Success and Happiness  (30:13) Balancing Others' Expectations and Self-Worth (33:58) Overcoming Temptation and Gratitude  (43:04) When Jealousy Is a Good Thing  (51:43) Self-Reflection and Music for Emotional Healing    Hope for the Heart resources:   Book on Envy & Jealousy:  https://www.hopefortheheart.org/store/product/envy-jealousy Video course on Envy & Jealousy: https://www.hopefortheheart.org/store/product/envy-jealousy-video-course Connect with Hope for the Heart on social!    Facebook: https://www.facebook.com/hopefortheheart   Instagram: https://www.instagram.com/hopefortheheart    Learn more about the ministry and resources of Hope for the Heart: https://www.hopefortheheart.org/    Learn more about Hope Talks and catch up on past episodes: https://www.hopefortheheart.org/hopetalks/    Want to talk with June Hunt on Hope in the Night about a difficult life issue? Schedule a time here: https://resource.hopefortheheart.org/talk-with-june-hope-in-the-night   God's plan for you: https://www.hopefortheheart.org/gods-plan-for-you/   Give to the ministry of Hope for the Heart: https://raisedonors.com/hopefortheheart/givehope?sc=HTPDON    ------------------ Bible verses mentioned in this episode   Genesis 3; 4:1-8: Adam and Eve; Cain & Abel stories   Exodus 20:4-5: “You shall not make for yourself an image in the form of anything in heaven above or on the earth beneath or in the waters below. You shall not bow down to them or worship them, for I, the Lord your God, am a jealous God.   Exodus 20:17 -- “You shall not covet your neighbor's house. You shall not covet your neighbor's wife, or his male or female servant, his ox or donkey, or anything that belongs to your neighbor.”   Proverbs 14:30: “A tranquil heart gives life to the flesh, but envy makes the bones rot.”   Proverbs 23:17: “Do not let your heart envy sinners, but always be zealous for the fear of the LORD.”   Mark 7:21-23: For it is from within, out of a person's heart, that evil thought come—sexual immorality, theft, murder, 22adultery, greed, malice, deceit, lewdness, envy, slander, arrogance, and folly. 23 All these evils come from inside and defile a person.”   Romans 12:15: Rejoice with those who rejoice, weep with those who weep.”   2 Corinthians 11:21: “I am jealous for you with a godly jealousy.”   Galatians 5:19-21: “The acts of the flesh are obvious: sexual immorality, impurity, and debauchery; idolatry and witchcraft; hatred, discord, jealousy, fits of rage, selfish ambition, dissensions, factions, and envy …”   Philippians 4:11-13: I have learned to be content whatever the circumstances. I know what it is to be in need and what it is to have plenty. I have learned the secret of being content in any and every situation, whether well-fed or hungry, whether living in plenty or in want. I can do all this through him, who gives me strength.   James 3:16: “For where envy and selfish ambition exist, there will be disorder and every vile practice.”   Hebrews 13:5: “Keep your lives free from the love of money and be content with what you have, because God has said, 'Never will I leave you; never will I forsake you.'”

Ever feel like social media is making you lose your mind? Or even your soul? In this episode, Ruth shares her own personal guardrails for navigating social media and honoring Christ. Whether you're a content creator or someone sharing photos with friends on a private account, this episode is sure to encourage and give you food for thought.Scripture ReferencedPhilippians 2:3-4John 3:30Resources MentionedSocial Sanity in an Insta WorldHear more from Ruth and GraceLacedFind Ruth Chou Simons: Instagram | WebsiteFind GraceLaced: Instagram | Facebook | Website

Will Warren Buffett's Predictions come true? We'll find out as today, the discussion centers around frustrations with the U.S. healthcare system, how longevity and health tie into financial planning and financial planning complexities with all the current economic unpredictability. The U.S. government has also officially designated confiscated Bitcoin as a strategic reserves and we're also still in the midst of a national debt crisis. We also talk government inefficiencies, policy changes, and interest rates.  We discuss...  Health insurance is frustrating due to high premiums and out-of-pocket costs before coverage kicks in. The system feels broken, requiring significant payments just for the right to pay more before benefits apply. Healthcare plans often don't cover preventive care, like vitamins or quarterly blood tests, which could reduce long-term costs. A comparison to homeowners insurance highlights the absurdity of paying for minor expenses while also paying for coverage. One speaker's insurance costs dropped dramatically when switching from an exchange plan to a corporate-sponsored plan. Life insurance companies conduct more thorough health tests than standard healthcare providers, which seems counterintuitive. Basic, cost-effective tests like fasting glucose are often omitted due to insurance cost-cutting measures. Health metrics are based on shifting averages rather than optimal health standards, normalizing unhealthy ranges. Society adjusts standards to accommodate unhealthy lifestyles rather than incentivizing better health. A personal “year of health” initiative focuses on longevity rather than growth, emphasizing balance, flexibility, and endurance. Longevity experts suggest lifestyle changes that promote long-term well-being, rather than just immediate fitness gains. The healthcare system prioritizes treatment over prevention, even when prevention could save costs in the long run. Financial planning must evolve to account for longer life expectancies, requiring strategies to ensure money lasts. Advances in longevity science could fundamentally change the healthcare system and financial planning. Future health innovations may extend life expectancy, raising questions about economic and social impacts. Bill Perkins' book Die With Zero promotes the idea of optimizing life experiences rather than leaving wealth behind. Planning to die with nothing is difficult due to unpredictable lifespan and financial variables. Financial planning must account for changing tax rates, inflation, market crashes, and policy shifts. Predictions in finance, like oil prices, are often inaccurate due to uncontrollable external factors. Financial plans become obsolete quickly and require constant updates. Guardrails in financial planning help maintain spending levels within a safe range. The U.S. has officially designated confiscated Bitcoin as a strategic reserve. The government is not selling or acquiring more Bitcoin but is holding existing assets. Strategic reserves, including oil, have historically been mismanaged for political purposes. Concerns exist that a Bitcoin reserve could be manipulated for political gain. The U.S. dollar's status as the world's reserve currency could be impacted by legitimizing Bitcoin. The Mar-a-Lago Accords propose restructuring U.S. debt by issuing long-term, zero-interest bonds to allies. The U.S. debt is growing at an unsustainable rate, adding a trillion dollars every 90 days. Innovative financial solutions are needed to address mounting national debt. The idea of eliminating daylight savings time is seen as a common-sense policy change. A previous initiative allowed the public to propose policy ideas to the government. The cost of producing pennies has exceeded their face value, raising questions about their necessity. Past shifts from silver to cheaper metals in coinage reflect economic adjustments over time. Lowering interest rates could help mitigate debt burdens more than it would impact the housing market. The U.S. missed opportunities to issue long-term, low-interest debt when rates were near zero. International stocks are outperforming U.S. stocks year-to-date, with emerging market Europe leading at 16.9% gains. The U.S. market is down 2%, marking a rare period of underperformance compared to global markets. Technology stocks are underperforming, with the Nasdaq in correction territory, down over 10%. Healthcare stocks are among the best performers, reflecting a rotation into defensive sectors. Investors are showing a flight to quality, favoring large-cap, dividend-paying companies. Market rotations between value and growth stocks continue as economic concerns persist. Smaller-cap U.S. stocks remain weak, continuing their underperformance. The DAX has quietly posted strong gains of around 10-12% this year, contrasting with the U.S. market's struggles. Despite current declines, the overall market is still in a relatively stable range, with volatility expected but not severe downturns. Experts anticipate a flat market year with moderate fluctuations rather than extreme moves up or down. Today's Panelists: Kirk Chisholm | Innovative Wealth Phil Weiss | Apprise Wealth Management Follow on Facebook: https://www.facebook.com/moneytreepodcast Follow LinkedIn: https://www.linkedin.com/showcase/money-tree-investing-podcast Follow on Twitter/X: https://x.com/MTIPodcast  

Physician coach Michelle Chestovich MD shares a simple way to get more done in less time.Join the pre-enrollment list for Stress Rx: https://mamadoclifecoaching.myflodesk.com/stressrxwaitlistapril

While everyone is now repeating that 2025 is the “Year of the Agent”, OpenAI is heads down building towards it. In the first 2 months of the year they released Operator and Deep Research (arguably the most successful agent archetype so far), and today they are bringing a lot of those capabilities to the API:* Responses API* Web Search Tool* Computer Use Tool* File Search Tool* A new open source Agents SDK with integrated Observability ToolsWe cover all this and more in today's lightning pod on YouTube!More details here:Responses APIIn our Michelle Pokrass episode we talked about the Assistants API needing a redesign. Today OpenAI is launching the Responses API, “a more flexible foundation for developers building agentic applications”. It's a superset of the chat completion API, and the suggested starting point for developers working with OpenAI models. One of the big upgrades is the new set of built-in tools for the responses API: Web Search, Computer Use, and Files. Web Search ToolWe previously had Exa AI on the podcast to talk about web search for AI. OpenAI is also now joining the race; the Web Search API is actually a new “model” that exposes two 4o fine-tunes: gpt-4o-search-preview and gpt-4o-mini-search-preview. These are the same models that power ChatGPT Search, and are priced at $30/1000 queries and $25/1000 queries respectively. The killer feature is inline citations: you do not only get a link to a page, but also a deep link to exactly where your query was answered in the result page. Computer Use ToolThe model that powers Operator, called Computer-Using-Agent (CUA), is also now available in the API. The computer-use-preview model is SOTA on most benchmarks, achieving 38.1% success on OSWorld for full computer use tasks, 58.1% on WebArena, and 87% on WebVoyager for web-based interactions.As you will notice in the docs, `computer-use-preview` is both a model and a tool through which you can specify the environment. Usage is priced at $3/1M input tokens and $12/1M output tokens, and it's currently only available to users in tiers 3-5.File Search ToolFile Search was also available in the Assistants API, and it's now coming to Responses too. OpenAI is bringing search + RAG all under one umbrella, and we'll definitely see more people trying to find new ways to build all-in-one apps on OpenAI. Usage is priced at $2.50 per thousand queries and file storage at $0.10/GB/day, with the first GB free.Agent SDK: Swarms++!https://github.com/openai/openai-agents-pythonTo bring it all together, after the viral reception to Swarm, OpenAI is releasing an officially supported agents framework (which was previewed at our AI Engineer Summit) with 4 core pieces:* Agents: Easily configurable LLMs with clear instructions and built-in tools.* Handoffs: Intelligently transfer control between agents.* Guardrails: Configurable safety checks for input and output validation.* Tracing & Observability: Visualize agent execution traces to debug and optimize performance.Multi-agent workflows are here to stay!OpenAI is now explicitly designs for a set of common agentic patterns: Workflows, Handoffs, Agents-as-Tools, LLM-as-a-Judge, Parallelization, and Guardrails. OpenAI previewed this in part 2 of their talk at NYC:Further coverage of the launch from Kevin Weil, WSJ, and OpenAIDevs, AMA here.Show Notes* Assistants API* Swarm (OpenAI)* Fine-Tuning in AI* 2024 OpenAI DevDay Recap with Romain* Michelle Pokrass episode (API lead)Timestamps* 00:00 Intros* 02:31 Responses API * 08:34 Web Search API * 17:14 Files Search API * 18:46 Files API vs RAG * 20:06 Computer Use / Operator API * 22:30 Agents SDKAnd of course you can catch up with the full livestream here:TranscriptAlessio [00:00:03]: Hey, everyone. Welcome back to another Latent Space Lightning episode. This is Alessio, partner and CTO at Decibel, and I'm joined by Swyx, founder of Small AI.swyx [00:00:11]: Hi, and today we have a super special episode because we're talking with our old friend Roman. Hi, welcome.Romain [00:00:19]: Thank you. Thank you for having me.swyx [00:00:20]: And Nikunj, who is most famously, if anyone has ever tried to get any access to anything on the API, Nikunj is the guy. So I know your emails because I look forward to them.Nikunj [00:00:30]: Yeah, nice to meet all of you.swyx [00:00:32]: I think that we're basically convening today to talk about the new API. So perhaps you guys want to just kick off. What is OpenAI launching today?Nikunj [00:00:40]: Yeah, so I can kick it off. We're launching a bunch of new things today. We're going to do three new built-in tools. So we're launching the web search tool. This is basically chat GPD for search, but available in the API. We're launching an improved file search tool. So this is you bringing your data to OpenAI. You upload it. We, you know, take care of parsing it, chunking it. We're embedding it, making it searchable, give you this like ready vector store that you can use. So that's the file search tool. And then we're also launching our computer use tool. So this is the tool behind the operator product in chat GPD. So that's coming to developers today. And to support all of these tools, we're going to have a new API. So, you know, we launched chat completions, like I think March 2023 or so. It's been a while. So we're looking for an update over here to support all the new things that the models can do. And so we're launching this new API. It is, you know, it works with tools. We think it'll be like a great option for all the future agentic products that we build. And so that is also launching today. Actually, the last thing we're launching is the agents SDK. We launched this thing called Swarm last year where, you know, it was an experimental SDK for people to do multi-agent orchestration and stuff like that. It was supposed to be like educational experimental, but like people, people really loved it. They like ate it up. And so we are like, all right, let's, let's upgrade this thing. Let's give it a new name. And so we're calling it the agents SDK. It's going to have built-in tracing in the OpenAI dashboard. So lots of cool stuff going out. So, yeah.Romain [00:02:14]: That's a lot, but we said 2025 was the year of agents. So there you have it, like a lot of new tools to build these agents for developers.swyx [00:02:20]: Okay. I guess, I guess we'll just kind of go one by one and we'll leave the agents SDK towards the end. So responses API, I think the sort of primary concern that people have and something I think I've voiced to you guys when, when, when I was talking with you in the, in the planning process was, is chat completions going away? So I just wanted to let it, let you guys respond to the concerns that people might have.Romain [00:02:41]: Chat completion is definitely like here to stay, you know, it's a bare metal API we've had for quite some time. Lots of tools built around it. So we want to make sure that it's maintained and people can confidently keep on building on it. At the same time, it was kind of optimized for a different world, right? It was optimized for a pre-multi-modality world. We also optimized for kind of single turn. It takes two problems. It takes prompt in, it takes response out. And now with these agentic workflows, we, we noticed that like developers and companies want to build longer horizon tasks, you know, like things that require multiple returns to get the task accomplished. And computer use is one of those, for instance. And so that's why the responses API came to life to kind of support these new agentic workflows. But chat completion is definitely here to stay.swyx [00:03:27]: And assistance API, we've, uh, has a target sunset date of first half of 2020. So this is kind of like, in my mind, there was a kind of very poetic mirroring of the API with the models. This, I kind of view this as like kind of the merging of assistance API and chat completions, right. Into one unified responses. So it's kind of like how GPT and the old series models are also unifying.Romain [00:03:48]: Yeah, that's exactly the right, uh, that's the right framing, right? Like, I think we took the best of what we learned from the assistance API, especially like being able to access tools very, uh, very like conveniently, but at the same time, like simplifying the way you have to integrate, like, you no longer have to think about six different objects to kind of get access to these tools with the responses API. You just get one API request and suddenly you can weave in those tools, right?Nikunj [00:04:12]: Yeah, absolutely. And I think we're going to make it really easy and straightforward for assistance API users to migrate over to responsive. Right. To the API without any loss of functionality or data. So our plan is absolutely to add, you know, assistant like objects and thread light objects to that, that work really well with the responses API. We'll also add like the code interpreter tool, which is not launching today, but it'll come soon. And, uh, we'll add async mode to responses API, because that's another difference with, with, uh, assistance. I will have web hooks and stuff like that, but I think it's going to be like a pretty smooth transition. Uh, once we have all of that in place. And we'll be. Like a full year to migrate and, and help them through any issues they, they, they face. So overall, I feel like assistance users are really going to benefit from this longer term, uh, with this more flexible, primitive.Alessio [00:05:01]: How should people think about when to use each type of API? So I know that in the past, the assistance was maybe more stateful, kind of like long running, many tool use kind of like file based things. And the chat completions is more stateless, you know, kind of like traditional completion API. Is that still the mental model that people should have? Or like, should you buy the.Nikunj [00:05:20]: So the responses API is going to support everything that it's at launch, going to support everything that chat completion supports, and then over time, it's going to support everything that assistance supports. So it's going to be a pretty good fit for anyone starting out with open AI. Uh, they should be able to like go to responses responses, by the way, also has a stateless mode, so you can pass in store false and they'll make the whole API stateless, just like chat completions. You're really trying to like get this unification. A story in so that people don't have to juggle multiple endpoints. That being said, like chat completions, just like the most widely adopted API, it's it's so popular. So we're still going to like support it for years with like new models and features. But if you're a new user, you want to or if you want to like existing, you want to tap into some of these like built in tools or something, you should feel feel totally fine migrating to responses and you'll have more capabilities and performance than the tech completions.swyx [00:06:16]: I think the messaging that I agree that I think resonated the most. When I talked to you was that it is a strict superset, right? Like you should be able to do everything that you could do in chat completions and with assistants. And the thing that I just assumed that because you're you're now, you know, by default is stateful, you're actually storing the chat logs or the chat state. I thought you'd be charging me for it. So, you know, to me, it was very surprising that you figured out how to make it free.Nikunj [00:06:43]: Yeah, it's free. We store your state for 30 days. You can turn it off. But yeah, it's it's free. And the interesting thing on state is that it just like makes particularly for me, it makes like debugging things and building things so much simpler, where I can like create a responses object that's like pretty complicated and part of this more complex application that I've built, I can just go into my dashboard and see exactly what happened that mess up my prompt that is like not called one of these tools that misconfigure one of the tools like the visual observability of everything that you're doing is so, so helpful. So I'm excited, like about people trying that out and getting benefits from it, too.swyx [00:07:19]: Yeah, it's a it's really, I think, a really nice to have. But all I'll say is that my friend Corey Quinn says that anything that can be used as a database will be used as a database. So be prepared for some abuse.Romain [00:07:34]: All right. Yeah, that's a good one. Some of that I've tried with the metadata. That's some people are very, very creative at stuffing data into an object. Yeah.Nikunj [00:07:44]: And we do have metadata with responses. Exactly. Yeah.Alessio [00:07:48]: Let's get through it. All of these. So web search. I think the when I first said web search, I thought you were going to just expose a API that then return kind of like a nice list of thing. But the way it's name is like GPD for all search preview. So I'm guessing you have you're using basically the same model that is in the chat GPD search, which is fine tune for search. I'm guessing it's a different model than the base one. And it's impressive the jump in performance. So just to give an example, in simple QA, GPD for all is 38% accuracy for all search is 90%. But we always talk about. How tools are like models is not everything you need, like tools around it are just as important. So, yeah, maybe give people a quick review on like the work that went into making this special.Nikunj [00:08:29]: Should I take that?Alessio [00:08:29]: Yeah, go for it.Nikunj [00:08:30]: So firstly, we're launching web search in two ways. One in responses API, which is our API for tools. It's going to be available as a web search tool itself. So you'll be able to go tools, turn on web search and you're ready to go. We still wanted to give chat completions people access to real time information. So in that. Chat completions API, which does not support built in tools. We're launching the direct access to the fine tuned model that chat GPD for search uses, and we call it GPD for search preview. And how is this model built? Basically, we have our search research team has been working on this for a while. Their main goal is to, like, get information, like get a bunch of information from all of our data sources that we use to gather information for search and then pick the right things and then cite them. As accurately as possible. And that's what the search team has really focused on. They've done some pretty cool stuff. They use like synthetic data techniques. They've done like all series model distillation to, like, make these four or fine tunes really good. But yeah, the main thing is, like, can it remain factual? Can it answer questions based on what it retrieves and get cited accurately? And that's what this like fine tune model really excels at. And so, yeah, so we're excited that, like, it's going to be directly available in chat completions along with being available as a tool. Yeah.Alessio [00:09:49]: Just to clarify, if I'm using the responses API, this is a tool. But if I'm using chat completions, I have to switch model. I cannot use 01 and call search as a tool. Yeah, that's right. Exactly.Romain [00:09:58]: I think what's really compelling, at least for me and my own uses of it so far, is that when you use, like, web search as a tool, it combines nicely with every other tool and every other feature of the platform. So think about this for a second. For instance, imagine you have, like, a responses API call with the web search tool, but suddenly you turn on function calling. You also turn on, let's say, structure. So you can have, like, the ability to structure any data from the web in real time in the JSON schema that you need for your application. So it's quite powerful when you start combining those features and tools together. It's kind of like an API for the Internet almost, you know, like you get, like, access to the precise schema you need for your app. Yeah.Alessio [00:10:39]: And then just to wrap up on the infrastructure side of it, I read on the post that people, publisher can choose to appear in the web search. So are people by default in it? Like, how can we get Latent Space in the web search API?Nikunj [00:10:53]: Yeah. Yeah. I think we have some documentation around how websites, publishers can control, like, what shows up in a web search tool. And I think you should be able to, like, read that. I think we should be able to get Latent Space in for sure. Yeah.swyx [00:11:10]: You know, I think so. I compare this to a broader trend that I started covering last year of online LLMs. Actually, Perplexity, I think, was the first. It was the first to say, to offer an API that is connected to search, and then Gemini had the sort of search grounding API. And I think you guys, I actually didn't, I missed this in the original reading of the docs, but you even give like citations with like the exact sub paragraph that is matching, which I think is the standard nowadays. I think my question is, how do we take what a knowledge cutoff is for something like this, right? Because like now, basically there's no knowledge cutoff is always live, but then there's a difference between what the model has sort of internalized in its back propagation and what is searching up its rag.Romain [00:11:53]: I think it kind of depends on the use case, right? And what you want to showcase as the source. Like, for instance, you take a company like Hebbia that has used this like web search tool. They can combine like for credit firms or law firms, they can find like, you know, public information from the internet with the live sources and citation that sometimes you do want to have access to, as opposed to like the internal knowledge. But if you're building something different, well, like, you just want to have the information. If you want to have an assistant that relies on the deep knowledge that the model has, you may not need to have these like direct citations. So I think it kind of depends on the use case a little bit, but there are many, uh, many companies like Hebbia that will need that access to these citations to precisely know where the information comes from.swyx [00:12:34]: Yeah, yeah, uh, for sure. And then one thing on the, on like the breadth, you know, I think a lot of the deep research, open deep research implementations have this sort of hyper parameter about, you know, how deep they're searching and how wide they're searching. I don't see that in the docs. But is that something that we can tune? Is that something you recommend thinking about?Nikunj [00:12:53]: Super interesting. It's definitely not a parameter today, but we should explore that. It's very interesting. I imagine like how you would do it with the web search tool and responsive API is you would have some form of like, you know, agent orchestration over here where you have a planning step and then each like web search call that you do like explicitly goes a layer deeper and deeper and deeper. But it's not a parameter that's available out of the box. But it's a cool. It's a cool thing to think about. Yeah.swyx [00:13:19]: The only guidance I'll offer there is a lot of these implementations offer top K, which is like, you know, top 10, top 20, but actually don't really want that. You want like sort of some kind of similarity cutoff, right? Like some matching score cuts cutoff, because if there's only five things, five documents that match fine, if there's 500 that match, maybe that's what I want. Right. Yeah. But also that might, that might make my costs very unpredictable because the costs are something like $30 per a thousand queries, right? So yeah. Yeah.Nikunj [00:13:49]: I guess you could, you could have some form of like a context budget and then you're like, go as deep as you can and pick the best stuff and put it into like X number of tokens. There could be some creative ways of, of managing cost, but yeah, that's a super interesting thing to explore.Alessio [00:14:05]: Do you see people using the files and the search API together where you can kind of search and then store everything in the file so the next time I'm not paying for the search again and like, yeah, how should people balance that?Nikunj [00:14:17]: That's actually a very interesting question. And let me first tell you about how I've seen a really cool way I've seen people use files and search together is they put their user preferences or memories in the vector store and so a query comes in, you use the file search tool to like get someone's like reading preferences or like fashion preferences and stuff like that, and then you search the web for information or products that they can buy related to those preferences and you then render something beautiful to show them, like, here are five things that you might be interested in. So that's how I've seen like file search, web search work together. And by the way, that's like a single responses API call, which is really cool. So you just like configure these things, go boom, and like everything just happens. But yeah, that's how I've seen like files and web work together.Romain [00:15:01]: But I think that what you're pointing out is like interesting, and I'm sure developers will surprise us as they always do in terms of how they combine these tools and how they might use file search as a way to have memory and preferences, like Nikum says. But I think like zooming out, what I find very compelling and powerful here is like when you have these like neural networks. That have like all of the knowledge that they have today, plus real time access to the Internet for like any kind of real time information that you might need for your app and file search, where you can have a lot of company, private documents, private details, you combine those three, and you have like very, very compelling and precise answers for any kind of use case that your company or your product might want to enable.swyx [00:15:41]: It's a difference between sort of internal documents versus the open web, right? Like you're going to need both. Exactly, exactly. I never thought about it doing memory as well. I guess, again, you know, anything that's a database, you can store it and you will use it as a database. That sounds awesome. But I think also you've been, you know, expanding the file search. You have more file types. You have query optimization, custom re-ranking. So it really seems like, you know, it's been fleshed out. Obviously, I haven't been paying a ton of attention to the file search capability, but it sounds like your team has added a lot of features.Nikunj [00:16:14]: Yeah, metadata filtering was like the main thing people were asking us for for a while. And I'm super excited about it. I mean, it's just so critical once your, like, web store size goes over, you know, more than like, you know, 5,000, 10,000 records, you kind of need that. So, yeah, metadata filtering is coming, too.Romain [00:16:31]: And for most companies, it's also not like a competency that you want to rebuild in-house necessarily, you know, like, you know, thinking about embeddings and chunking and, you know, how of that, like, it sounds like very complex for something very, like, obvious to ship for your users. Like companies like Navant, for instance. They were able to build with the file search, like, you know, take all of the FAQ and travel policies, for instance, that you have, you, you put that in file search tool, and then you don't have to think about anything. Now your assistant becomes naturally much more aware of all of these policies from the files.swyx [00:17:03]: The question is, like, there's a very, very vibrant RAG industry already, as you well know. So there's many other vector databases, many other frameworks. Probably if it's an open source stack, I would say like a lot of the AI engineers that I talk to want to own this part of the stack. And it feels like, you know, like, when should we DIY and when should we just use whatever OpenAI offers?Nikunj [00:17:24]: Yeah. I mean, like, if you're doing something completely from scratch, you're going to have more control, right? Like, so super supportive of, you know, people trying to, like, roll up their sleeves, build their, like, super custom chunking strategy and super custom retrieval strategy and all of that. And those are things that, like, will be harder to do with OpenAI tools. OpenAI tool has, like, we have an out-of-the-box solution. We give you the tools. We use some knobs to customize things, but it's more of, like, a managed RAG service. So my recommendation would be, like, start with the OpenAI thing, see if it, like, meets your needs. And over time, we're going to be adding more and more knobs to make it even more customizable. But, you know, if you want, like, the completely custom thing, you want control over every single thing, then you'd probably want to go and hand roll it using other solutions. So we're supportive of both, like, engineers should pick. Yeah.Alessio [00:18:16]: And then we got computer use. Which I think Operator was obviously one of the hot releases of the year. And we're only two months in. Let's talk about that. And that's also, it seems like a separate model that has been fine-tuned for Operator that has browser access.Nikunj [00:18:31]: Yeah, absolutely. I mean, the computer use models are exciting. The cool thing about computer use is that we're just so, so early. It's like the GPT-2 of computer use or maybe GPT-1 of computer use right now. But it is a separate model that has been, you know, the computer. The computer use team has been working on, you send it screenshots and it tells you what action to take. So the outputs of it are almost always tool calls and you're inputting screenshots based on whatever computer you're trying to operate.Romain [00:19:01]: Maybe zooming out for a second, because like, I'm sure your audience is like super, super like AI native, obviously. But like, what is computer use as a tool, right? And what's operator? So the idea for computer use is like, how do we let developers also build agents that can complete tasks for the users, but using a computer? Okay. Or a browser instead. And so how do you get that done? And so that's why we have this custom model, like optimized for computer use that we use like for operator ourselves. But the idea behind like putting it as an API is that imagine like now you want to, you want to automate some tasks for your product or your own customers. Then now you can, you can have like the ability to spin up one of these agents that will look at the screen and act on the screen. So that means able, the ability to click, the ability to scroll. The ability to type and to report back on the action. So that's what we mean by computer use and wrapping it as a tool also in the responses API. So now like that gives a hint also at the multi-turned thing that we were hinting at earlier, the idea that like, yeah, maybe one of these actions can take a couple of minutes to complete because there's maybe like 20 steps to complete that task. But now you can.swyx [00:20:08]: Do you think a computer use can play Pokemon?Romain [00:20:11]: Oh, interesting. I guess we tried it. I guess we should try it. You know?swyx [00:20:17]: Yeah. There's a lot of interest. I think Pokemon really is a good agent benchmark, to be honest. Like it seems like Claude is, Claude is running into a lot of trouble.Romain [00:20:25]: Sounds like we should make that a new eval, it looks like.swyx [00:20:28]: Yeah. Yeah. Oh, and then one more, one more thing before we move on to agents SDK. I know you have a hard stop. There's all these, you know, blah, blah, dash preview, right? Like search preview, computer use preview, right? And you see them all like fine tunes of 4.0. I think the question is, are we, are they all going to be merged into the main branch or are we basically always going to have subsets? Of these models?Nikunj [00:20:49]: Yeah, I think in the early days, research teams at OpenAI like operate with like fine tune models. And then once the thing gets like more stable, we sort of merge it into the main line. So that's definitely the vision, like going out of preview as we get more comfortable with and learn about all the developer use cases and we're doing a good job at them. We'll sort of like make them part of like the core models so that you don't have to like deal with the bifurcation.Romain [00:21:12]: You should think of it this way as exactly what happened last year when we introduced vision capabilities, you know. Yes. Vision capabilities were in like a vision preview model based off of GPT-4 and then vision capabilities now are like obviously built into GPT-4.0. You can think about it the same way for like the other modalities like audio and those kind of like models, like optimized for search and computer use.swyx [00:21:34]: Agents SDK, we have a few minutes left. So let's just assume that everyone has looked at Swarm. Sure. I think that Swarm has really popularized the handoff technique, which I thought was like, you know, really, really interesting for sort of a multi-agent. What is new with the SDK?Nikunj [00:21:50]: Yeah. Do you want to start? Yeah, for sure. So we've basically added support for types. We've made this like a lot. Yeah. Like we've added support for types. We've added support for guard railing, which is a very common pattern. So in the guardrail example, you basically have two things happen in parallel. The guardrail can sort of block the execution. It's a type of like optimistic generation that happens. And I think we've added support for tracing. So I think that's really cool. So you can basically look at the traces that the Agents SDK creates in the OpenAI dashboard. We also like made this pretty flexible. So you can pick any API from any provider that supports the ChatCompletions API format. So it supports responses by default, but you can like easily plug it in to anyone that uses the ChatCompletions API. And similarly, on the tracing side, you can support like multiple tracing providers. By default, it sort of points to the OpenAI dashboard. But, you know, there's like so many tracing providers. There's so many tracing companies out there. And we'll announce some partnerships on that front, too. So just like, you know, adding lots of core features and making it more usable, but still centered around like handoffs is like the main, main concept.Romain [00:22:59]: And by the way, it's interesting, right? Because Swarm just came to life out of like learning from customers directly that like orchestrating agents in production was pretty hard. You know, simple ideas could quickly turn very complex. Like what are those guardrails? What are those handoffs, et cetera? So that came out of like learning from customers. And it was initially shipped. It was not as a like low-key experiment, I'd say. But we were kind of like taken by surprise at how much momentum there was around this concept. And so we decided to learn from that and embrace it. To be like, okay, maybe we should just embrace that as a core primitive of the OpenAI platform. And that's kind of what led to the Agents SDK. And I think now, as Nikuj mentioned, it's like adding all of these new capabilities to it, like leveraging the handoffs that we had, but tracing also. And I think what's very compelling for developers is like instead of having one agent to rule them all and you stuff like a lot of tool calls in there that can be hard to monitor, now you have the tools you need to kind of like separate the logic, right? And you can have a triage agent that based on an intent goes to different kind of agents. And then on the OpenAI dashboard, we're releasing a lot of new user interface logs as well. So you can see all of the tracing UIs. Essentially, you'll be able to troubleshoot like what exactly happened. In that workflow, when the triage agent did a handoff to a secondary agent and the third and see the tool calls, et cetera. So we think that the Agents SDK combined with the tracing UIs will definitely help users and developers build better agentic workflows.Alessio [00:24:28]: And just before we wrap, are you thinking of connecting this with also the RFT API? Because I know you already have, you kind of store my text completions and then I can do fine tuning of that. Is that going to be similar for agents where you're storing kind of like my traces? And then help me improve the agents?Nikunj [00:24:43]: Yeah, absolutely. Like you got to tie the traces to the evals product so that you can generate good evals. Once you have good evals and graders and tasks, you can use that to do reinforcement fine tuning. And, you know, lots of details to be figured out over here. But that's the vision. And I think we're going to go after it like pretty hard and hope we can like make this whole workflow a lot easier for developers.Alessio [00:25:05]: Awesome. Thank you so much for the time. I'm sure you'll be busy on Twitter tomorrow with all the developer feedback. Yeah.Romain [00:25:12]: Thank you so much for having us. And as always, we can't wait to see what developers will build with these tools and how we can like learn as quickly as we can from them to make them even better over time.Nikunj [00:25:21]: Yeah.Romain [00:25:22]: Thank you, guys.Nikunj [00:25:23]: Thank you.Romain [00:25:23]: Thank you both. Awesome. Get full access to Latent.Space at www.latent.space/subscribe

In this powerful episode, Tristan is joined by fellow podcast host and legal expert Dahlia Lithwick to analyze the unprecedented constitutional challenges as courts attempt to check executive overreach. They explore whether judicial orders will be followed, the targeting of law firms like Perkins Coie and Covington & Burling, and what collective action might be necessary to preserve the rule of law. This essential conversation tackles the urgent question: can America's institutions withstand an authoritarian assault, or are we witnessing democracy's unraveling in real-time?

Star Wars Galaxies, Ultima Online, and now Stars Reach. Raph Koster has certainly made his mark on MMOs that are designed as systems-led experiences that feel like breathing worlds. This interview goes over Raph's history of game development, and why Stars Reach is the culmination of decades of experience, new exciting technology, and an organic sandbox players can deeply enjoy with each other. If that sounds exciting, consider checking out the Stars Reach Kickstarter: https://www.kickstarter.com/projects/starsreach/stars-reach DL Gaming: A PC Gamecast adds games both new and old to your Steam backlog one slightly inappropriate episode at a time.

And now, the exciting conclusion of Metro Council's two-part Fusus cliffhanger! Nashville Scene columnist Nicole Williams joins us to talk through the latest local news, including poorly-timed cuts to the National Weather Service, the threatened closure of a local Social Security office, and a weird group home in DC being run by local car dealer Lee Beaman. Finally, we're celebrating being named the 6th most sinful state in the nation by discussing where in Nashville we'd like to indulge in the 7 deadly ones. Learn more about the sponsors of this March 7th episode: Country Music Hall of Fame and Museum Want some more City Cast Nashville news? Then make sure to sign up for our Hey Nashville newsletter.  Follow us @citycastnashville You can also text us or leave a voicemail at: 615-200-6392⁩ Interested in advertising with City Cast? Find more info HERE.

In this episode, Srini Rajagopal joins us to discuss how Generative AI (Gen AI) is transforming the engineering landscape. We explore the challenges of integrating AI into legacy products vs. building AI-first solutions from the ground up, the impact on developer productivity, and how teams prioritize AI-driven innovation while bringing stakeholders along for the ride.

219. In this week's episode, we take a deep dive into perhaps the scariest topic we have ever covered…the sister's drunken 20's!   Our fan favorite this week is Leeann!! You can find all the information for the upcoming Kentucky Crafted Market, happening on March 8th and 9th at this website; https://artscouncil.ky.gov/kentucky-crafted-market/  The Arts Council will be accepting cash donations for the Team Kentucky Storm Relief Fund at the door in response to recent flooding in Kentucky.  The organization was created in response to catastrophic flooding in 2022 and, sadly, is once again needed in many of the same communities.   Thanks for all your support! Please remember to Rate, Review, and Subscribe on Apple Podcast and Spotify.  If you would like to write in, find us on Patreon, buy MERCH, or find our social handles, go to our website,⁠ www.myskepticalsister.com You can also support us with a one time donation at https://www.buymeacoffee.com/myskepticaz   .  Please remember to Rate, Review, and Subscribe on Apple Podcast and Spotify.  If you would like to write in, find us on Patreon, buy MERCH, or find our social handles, go to our website,⁠ www.myskepticalsister.com You can also support us with a one time donation at https://www.buymeacoffee.com/myskepticaz

SUNDAY MORNING MARCH 2, 2025

On this recap episode of Safety Corner, we're tying up loose ends and diving into some of the most important safety topics we've covered so far, with a few hard-hitting truths along the way.We revisit key points, clarify misconceptions, and shed light on:

SummaryThe conversation explores the evolving landscape of telehealth, focusing on recent regulatory changes, challenges faced by Congress in legislating telehealth, and the implications for patient care. The panel discusses the importance of documentation, access to services, and the need for guardrails to ensure quality care. They also highlight the historical context of telehealth and its restructuring during the COVID-19 pandemic, emphasizing the need for clarity in its implementation moving forward. The conversation delves into the complexities of healthcare compliance, focusing on the challenges of time documentation, the implications of macro time statements, and the necessity for effective communication between departments to ensure compliance and quality patient care. The speakers emphasize the importance of understanding the nuances of documentation and the need for a collaborative approach to workflow processes in healthcare settings.Takeaways Telehealth regulations are changing, impacting patient access. Congress is struggling to address telehealth legislation effectively. Quality of telehealth documentation is often inadequate. Access to telehealth services remains a significant issue. Telehealth has been a part of healthcare for decades. The pandemic accelerated the adoption of telehealth services. Patients often prefer in-person visits for social interaction. There is confusion about telehealth benefits and coverage. Specialty care access has improved through telehealth. Guardrails are necessary to prevent abuse of telehealth services. Accessibility to healthcare services is crucial for all patients, especially seniors. Time documentation in healthcare can lead to significant challenges and misunderstandings. Macro time statements can degrade the quality of medical documentation. Providers should focus on medical necessity rather than just time spent with patients. Compliance and workflow processes must be integrated to avoid issues in healthcare delivery. Departments within healthcare organizations need to communicate effectively to ensure compliance. Auditing practices should be mindful of the nuances in time documentation. Healthcare providers should avoid using canned statements that do not reflect actual patient care. Collaboration among departments can lead to better compliance and patient outcomes. Healthcare organizations should consider hiring compliance consultants for a comprehensive review.

Melissa Otto agrees with what many other experts are saying: guidance for Nvidia (NVDA) will be crucial in its earnings. She'll listen to CEO Jensen Huang's commentary on how the company expects to multiply Blackwell revenue as it rolls out to customers. On DeepSeek, Melissa says its critical for Huang to share how Nvidia will adjust to potential A.I. repricing.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

This episode of The C.L. Brown Show features Louisville women's basketball coach Jeff Walz. Walz breaks down the secret to guard Jayda Curry averaging 19.5 points over the past four games and discusses his fears on if the NCAA doesn't provide more guardrails for keeping name, image and likeness collectives from tampering.

When shopping for a used car we always look for one that has had regular oil changes, good tires, good breaks, the interior is clean, and it's been maintained.   When you think about all the places our cars take us, you need them to work!  We drive them to school, to work, to activities. Our baseball games are just about to get started and we'll be on the road many of the weekends from March until July and we need to be confident our vehicles will get us there.   Our cars drive through many different conditions! Today, snow and slick roads. Tomorrow, who knows here in Idaho! Sometimes we go off-roading, sometimes for a nice drive in the hills, sometimes down gravel roads. We accelerate and hit the brakes all day long, sometimes easing into it, sometimes hard braking and quick acceleration! We put our vehicles through a lot of stressful situations! Our cars are like our bodies! They are put through many stressful situations. We run at a faster pace than we should a lot of the times, we slam on the brakes here and there. We go on long rides, short rides, gravel, and bumpy roads, and sometimes we offroad with our bodies. And, We need to do some maintenance on these bodies of ours, or like our cars, we go nowhere. Today I want to talk about 3 things we can do to manage the stress we put our bodies under. And they have to do with our diets. We are going to use guardrails, greens, and grace to manage our stress! Listen In!  

Air Date 2/18/2025 Democracies slide into dictatorship in two ways, first slowly and then all of a sudden. We have been sliding in this direction for at least as long as I have been paying attention to politics and we're finally at the moment where that slow slide shifts into full speed. Be part of the show! Leave us a message or text at 202-999-3991 or email Jay@BestOfTheLeft.com Full Show Notes | Transcript BestOfTheLeft.com/Support (Membership 20% off for the Holiday! Get Bonus Shows + No Ads!) Send the Gift of Membership! (Or on Patreon) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! KEY POINTS 1: Is America Broken - The Gray Area - Air Date 2-10-25 2: Musk's 'DOGE' is spiraling U.S. into a constitutional crisis - The ReidOut - Air Date 2-7-25 3: Trump's latest target the Consumer Financial Protection Bureau - The NPR Politics Podcast - Air Date 2-10-25 4: Trumps American Takeover - Amicus With Dahlia Lithwick - Air Date 2-1-25 5: Musk's Coup and Trump's Christian Zionist Gaza Takeover - Straight White American Jesus - Air Date 2-7-25 6: Media Continues Painting Musk's Far Right Coup as Good Faith _Cost-Cutting Effort - Citations Needed - Air Date 2-5-25 7:  Why Are Dems Surprised - The Intercept Briefing - Air Date 2-7-25 (55:58) NOTE FROM THE EDITOR On the long slide to dictatorship Clip: O'Connor Decries Republican Attacks on Courts - NPR DEEPER DIVES (1:03:06) SECTION A: GOVERNMENT AGENCIES (1:29:34) SECTION B: CONSTITUTIONAL CRISIS (2:00:04) SECTION C: THE PLAYBOOK (2:22:46) SECTION D: WHAT TO DO SHOW IMAGE Composite image of the US Capitol building, surrounded by symbols of justice, treasury, international aid, and education, with a large brick smashing into the center with the acronym “MAGA” on the end. Credit: Composite images from Pixabay | License: Pixabay

Today on the Social-Engineer Podcast: The Security Awareness Series, Chris is joined by Peter Warmka. Peter is a Former Senior Intelligence Officer with the CIA with over 20 years' experience in breaching the security of organizations overseas. Peter is the founder of the Orlando-based firm Counterintelligence Institute, LLC and an Adjunct Professor at Webster University's Masters Cybersecurity Program. Peter is passionate about using his expertise in helping city, state, and federal government entities, non-profits, academic institutes, private companies, and individuals safeguard their sensitive proprietary and/or personal data. He is also the author of two books. [Feb 17, 2025]   00:00 - Intro 00:21 - Intro Links: -          Social-Engineer.com - http://www.social-engineer.com/ -          Managed Voice Phishing - https://www.social-engineer.com/services/vishing-service/ -          Managed Email Phishing - https://www.social-engineer.com/services/se-phishing-service/ -          Adversarial Simulations - https://www.social-engineer.com/services/social-engineering-penetration-test/ -          Social-Engineer channel on SLACK - https://social-engineering-hq.slack.com/ssb -          CLUTCH - http://www.pro-rock.com/ -          innocentlivesfoundation.org - http://www.innocentlivesfoundation.org/                                                02:25 - Peter Warmka Intro 03:14 - Getting Recruited 12:11 - Working Above Cybersecurity 21:33 - Identifying Potential Candidates 23:20 - Tip to CISO's: Learn About AI 25:17 - The Importance of Guardrails 28:37 - Peter's Books -          Confessions of a CIA Spy - Peter Warmka -          Why Are You Messing With Me? - Peter Warmka 31:10 - Find Peter Warmka online -          LinkedIn: in/peterwarmka -          Website: counterintelligence-institute.com 32:18 - Wrap Up & Outro -          www.social-engineer.com -          www.innocentlivesfoundation.org

"Reform should not be revenge." - Professor Jonathan Turley   The Trump administration has made it abundantly clear that they will make significant reforms to the federal government. Trey and George Washington University Law Professor and Fox News Contributor, Jonathan Turley discuss the legal parameters of the administrations plans. Professor Turley also shares the legal advice he would offer incoming presidential administrations. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of the OutThere Colorado Podcast, Spencer and Seth chat about the 'tell-tale signs' you're a 'true Coloradan,' big upgrades to a local ski hill in southwest Colorado, why there aren't a ton of guardrails on Colorado's infamous mountain roads, towns that exemplify the 'Wild West,' and more. Hosts: Spencer McKee & Seth Boster Producer: Tim Page

Everyone is trying to make sense of Trump's latest statements on taking over Gaza. Today, I build a thesis about Trump that is instructive in directing our focus for the next four years. Trump is great at thinking outside the box on big-picture goals. However, because he is not ideological, he is often prone to accepting deals, regardless of the exact details, just to show that his trolling worked. In fact, this often overextends him and forces him to feel pressured into taking deals rather than walking away from them. If we create guardrails and an ideological rudder, the sky is the limit. I also discuss the need to place the elimination of USAID and the Department of Education into budget reconciliation. Plus, how the sovereign wealth fund ties into mRNA and data centers and why that is a great example of Trump's out-of-the box thinking that needs ideological guardrails.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Huddle +, Kevin welcomes to the show Jon Hilsenrath. They discuss Jon's experiences reporting on the Bernanke-led Federal Reserve, explore the shifts in the macroeconomic landscape since then, and examine how market dynamics could shape Trump’s next administration. Follow Jon on LinkedIn: https://www.linkedin.com/in/jon-hilsenrath-750baa2a/ Subscribe To Patrick's New Educational Series ONLY available on YouTube: https://www.youtube.com/@Patrick_Ceresna Visit our merch store!!! https://www.themarkethuddlemerch.com/ To receive our emails with the charts and links each week, please register at: https://markethuddle.com/

Send Everyday AI and Jordan a text messageAI agents have been all the buzz recently. But why AI agents? And why now? There's a lot going on under the surface. Scott Beechuk joins us to dive in deep and tell you what you need to know.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Scott questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Current State of AI Agents2. Challenges in AI to AI Interactions3. Guardrails in AI4. Humans' Roles in AI Integration5. AI Agent Use Cases6. Future of AI AgentsTimestamps:00:00 AI agents are mainstream, bridging future enterprise work.05:28 Technological shifts drive innovation, advancing AI capabilities.07:40 Automate knowledge tasks and complex problem-solving cautiously.10:25 AI complexity requires new quality assurance strategies.15:53 AI agents optimize customer service interactions effectively.19:39 AI's future: Multimodal interactions with voice, video.23:51 AI enhances customer relationship building and sales effectiveness.26:57 AI development tools advancing, with complex AI interactions.29:13 Tracing AI interactions lacks standard communication protocols.31:41 Build companies by working backward for efficiency.Keywords:AI advancements, GitHub Copilot, Microsoft's WorkLab, AI guardrails, OpenAI, AI in sales, AI in customer engagement, Scott Beechuk, AI agents, machine learning, generative AI, ChatGPT, customer service, transparency in AI usage, automating customer outreach, multimodal future of AI, AI development, R&D in AI, AI systems' risks, Cursor, Zencoder, Replicant, Jordan Wilson, Norwest Venture Partners, Software development, Anthropic, Salesforce, EveryDay AI podcast, data privacy in AI, brand integrity with AI Ready for ROI on GenAI? Go to youreverydayai.com/partner