Podcasts about citrix

Network Infraxploit Our undergraduate intern, Matthew Gorman, wrote up a walk through of CVE-2018-0171, an older Cisco vulnerability, that is still actively being exploited. For example, VOLT TYPHOON recently exploited this problem. https://isc.sans.edu/diary/Network+Infraxploit+Guest+Diary/31844 Windows Update Issues / Windows 10 Update Microsoft updated its "Release Health" notes with details regarding issues users experiences with Windows Hello, Citrix, and Roblox. Microsoft also released an emergency update for Office 2016 which has stability problems after applying the most recent update. https://support.microsoft.com/en-us/topic/april-8-2025-kb5055523-os-build-26100-3775-277a9d11-6ebf-410c-99f7-8c61957461eb https://learn.microsoft.com/en-us/windows/release-health/windows-message-center#3521 https://support.microsoft.com/en-us/topic/april-10-2025-update-for-office-2016-kb5002623-d60c1f31-bb7c-4426-b8f4-69186d7fc1e5 Dell Updates Dell releases critical updates for it's Powerscale One FS product. In particular, it fixes a default password problem. https://www.dell.com/support/kbdoc/en-us/000300860/dsa-2025-119-security-update-for-dell-powerscale-onefs-for-multiple-security-vulnerabilities Langflow Vulnerablity (possible exploit scans sighted) CVE-2025-3248 Langflow addressed a critical vulnerability end of March. This writeup by Horizon3 demonstrates how the issue is possibly exploited. We have so far seen one "hit" in our honeypot logs for the vulnerable API endpoint URL. https://www.horizon3.ai/attack-research/disclosures/unsafe-at-any-speed-abusing-python-exec-for-unauth-rce-in-langflow-ai/

In episode 176 of The Citrix Session, host Andy Whiteside, along with guest Geremy Meyers, dives into the transformative integration of Chrome Enterprise Premium into the Citrix platform. This episode explores how Citrix is enhancing browser management and security for enterprise environments, making it easier than ever for businesses to handle web and SaaS applications securely. Geremy, who oversees account technology specialists in the US, shares insights on the strategic partnership between Citrix and Google and the significant benefits it brings, such as improved malware detection, data loss prevention, and policy control within the Chrome browser. Tune in to learn how Citrix's latest move with Google can streamline operations and bolster security for companies leveraging Chrome Enterprise.

Michael F. Schein ghostwrites books that make business leaders, executives, and entrepreneurs famous in their fields. He is the founder of the marketing and consulting company MicroFame Media, and some of his clients have included Lockton, eBay, Magento, the University of Pennsylvania, the United Methodist Publishing House, LinkedIn, and Citrix, to name a few. His writing has appeared in Fortune, Forbes, Inc., Kitces, Business Insider, Psychology Today, and the Huffington Post, and he is a speaker for international audiences, spanning from the northeastern United States to the southeastern coast of China. His book, "The Hype Handbook: 12 Indispensable Success Secrets From the World's Greatest Propagandists, Self-Promoters, Cult Leaders, Mischief Makers, and Boundary Breakers," published by McGraw Hill, is available wherever books are sold.In today's episode of Smashing the Plateau, you will learn how to harness the power of strategic marketing and ghostwriting to become a recognized thought leader.Michael and I discuss:Michael's journey from copywriting to marketing consultancy [02:18]The concept of becoming a "micro celebrity" [06:10]The importance of having a book to establish expertise [07:00]Overcoming the fallacy of scale in business [08:12]The impact of community on professional success [16:34]How to balance intuition and external advice [18:00]Michael's insights on thinking like a scientist to find your niche [21:35]Learn more about Michael at https://microfamemedia.com and https://michaelfschein.com.Contact Michael directly at:- Email: mfs@microfamemedia.com- Phone: (917) 273-9885Thank you to our sponsor:The Smashing the Plateau CommunityGet exclusive access and strategic insights – subscribe now and take the first step towards mastering success!

What does bringing clarity and control to today's fragmented digital work environments take? In this episode, recorded live at IGEL Now & Next 2025, I sit down with Tommy Walker, Partner CTO at Omnissa, to explore the intersection of user experience, security, and operational simplicity in modern enterprise IT. With career-spanning roles at VMware, Citrix, and Cisco, Tommy offers a real-world perspective on navigating complexity while building meaningful solutions that work at scale. This is a conversation grounded in reality. We discuss how organizations can move beyond legacy infrastructure and simplify their digital workspace strategy without overwhelming users or IT teams. Tommy shares how Omnissa is helping enterprises shift from scattered tools and outdated workflows to unified, AI-informed platforms that boost both productivity and resilience. We also unpack the practical steps for tackling challenges like technical debt, the Windows 10 end-of-life transition, and rising pressure on IT to deliver more with fewer resources. Throughout the discussion, Tommy emphasizes the importance of partnerships—not just between vendors, but within the entire IT ecosystem—to deliver outcomes that matter. And yes, there's also room for a few lighter moments involving drones, endpoint telemetry, and the occasional geek-out over infrastructure design. But at the core of this conversation is a clear message: modern IT is about enabling users without compromising security and simplifying operations without losing flexibility. If you're rethinking your endpoint strategy, evaluating your hybrid work approach, or just trying to bring a little more order to the chaos, this episode will leave you with practical insights and maybe even a few new ideas for your roadmap.  Are you ready to build a digital workspace strategy that actually works? Let's get into it.

Welcome to Episode 398 of the Microsoft Cloud IT Pro Podcast. In this episode Ben meets up with Harm Veenstra at the annual Microsoft MVP Summit. They chat a bit about Harm experience as an MVP and his path to becoming an MVP. Then the move into a few technologies near and dear to Harm, PowerShell and Microsoft Intune. They start off talking about some of the ways Harm uses PowerShell and some of his favorite scripts. They talk about how he uses PowerShell with Intune, in particular using it with remediation scripts. Harm Veenstra Harm started working at 18, from a ServiceDesk employee to a workspace and system engineer at a large insurance firm in the Netherlands. 1996, those were the days! After working there for almost 11 years, Harm had different system engineer jobs and learned much about Citrix, Cisco, VMWare, storage, and Microsoft. Currently, He's employed at NEXXT (https://www.nexxt.one) as a Consultant, mainly in Endpoint Management, but He does anything Microsoft

Entrepreneurship is a thrilling but demanding journey—how do you stay mentally and physically healthy while building a company? In this episode of Healthy Mind, Healthy Life, host Avik Chakraborty sits down with Jason Vego, CEO and co-founder of BEVZ, a software platform for convenience stores that has expanded to over 1,000 locations across the U.S. and raised over $5 million in venture capital. Jason shares his honest experiences of managing mental well-being while leading a high-growth startup. From navigating personal challenges like divorce to recognizing signs of burnout, he offers practical strategies for maintaining balance through diet, exercise, meditation, and relationship management. Tune in to learn how small, sustainable habits can help you thrive in both business and life. About Jason Vego   Jason is a seasoned entrepreneur with a background in communications and storytelling. Before launching BEVZ, he led global employee communications at Citrix and even started a failed startup—an experience that fueled his growth. His journey highlights the importance of adaptability, prioritization, and emotional intelligence in leadership. Key Takeaways:   ✅ The warning signs of burnout and how to prevent it✅ How small wellness habits (like journaling and morning routines) create a big impact✅ The role of food, exercise, and sleep in staying mentally sharp as a founder✅ Maintaining relationships while running a startup—without guilt✅ Why "You are not your company" is the best advice for struggling entrepreneurs Connect with Jason Vego  

Health system technology leaders are increasingly confronting a stark reality: legacy on-premises data centers, long considered reliable pillars of IT infrastructure, are reaching the end of their lifecycle. As the costs of virtualization technologies such as VMware and Citrix climb, many CIOs and CTOs are weighing the benefits of transitioning core workloads to the cloud. […] Source: Myriad Factors Making On-Prem Less Sustainable; Cloud the Clear Path, but Execution Requires Preparation and Expertise on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

In this episode, I cover multiple recent service outages, a concern about a recent policy change by Mozilla, the sudden announcement that Skype will be shutdown within weeks plus more! Reference Links: https://www.rorymon.com/blog/skype-to-be-retired-soon-new-win11-upgrade-block-citrix-licensing-service-issue/

Join hosts Bill Sutton, Todd Smith, and Geremy Meyers for episode 175 of the Citrix Session Podcast as they dive into the critical aspects of upgrading to XenServer 8. In this episode, they discuss the impending end-of-life status of Citrix Hypervisor 8.2 cu1, scheduled for June 25th, 2025, highlighting the necessity for users to transition to the newer XenServer 8. The team outlines the enhanced features, including support for Windows 11 with VTPM, integrated PvS accelerator, added support for Nagios and SNMP, and the revolutionary Xen Conversion Manager which eases VM conversions. They also navigate through operational tips, such as leveraging a content delivery network for updates and the benefits of infrastructure as code with Terraform support. Whether you're planning a migration or looking to optimize your Citrix workloads, this episode offers invaluable insights into making the most of XenServer 8's capabilities.

In this episode of the Citrix Session, host Bill Sutton and a panel of experts, including Andy Whiteside, Geremy Meyers, and Todd Smith, delve into the latest enhancements Citrix has made to improve both security and operational efficiency. They discuss the new feature, Session Remote Start, which enables faster logons and boosts productivity by allowing physical security measures like badge scans to initiate and prepare Citrix sessions even before the user reaches their desk.The team explores how this integration not only speeds up the login process but also aligns with Citrix's commitment to enhancing the user experience and administrative visibility. They cover technical aspects, potential use cases, and the implications of API-driven session management for various industries, especially those with high-security needs like healthcare and public sectors.Tune in to learn how Citrix continues to innovate by merging physical security with digital access, aiming to transform how we approach workspace efficiency and user satisfaction.

Overview: In this episode of the SMB Community Podcast, hosts Amy Babinchik and James Kernan discuss winter weather conditions across the Midwest, then transition into tech news, including rumors of a potential acquisition involving Intel. The conversation shifts to insights on compliance for managed service providers (MSPs), particularly around the new CMMC regulations. They also talk about TikTok's current legal challenges and the latest Citrix acquisition. This week's 5 Minutes with a Smart Person features an interview with Brandi Bonds of Next Level Now, who shares her expertise on providing strategic CFO services to MSPs, emphasizing the importance of accurate financials and strategic planning. The show wraps up with discussions on upcoming classes and events aimed at helping IT professionals improve their business skills and stay ahead in the industry.    Chapter Markers: 00:00 Introduction and Podcast Overview 00:51 Weather Chat and Personal Updates 03:59 Tech News: Intel Acquisition Rumors 06:43 CMMC Compliance for MSPs 10:58 TikTok's Future and Acquisition Proposals 13:53 Citrix Acquires Unicorn 14:43 MSP Question of the Week: Answering Calls Live vs. Auto Attendant 19:10 Upcoming Classes and Events 24:05 5 Minutes with a Smart Person: Brandi Bonds with NextLevelNow.Net  41:16 Conclusion and Upcoming Events   New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI   Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.com

This week on Partnerships Unraveled, we welcome Luca Marinelli, a seasoned leader with over 30 years of experience across tech giants like Microsoft, Cisco, Citrix, and Check Point. Currently the COO of blinkoo, Luca joins us to share invaluable lessons from his career spanning vendors, distribution, and the SMB and enterprise channels.Luca reveals the unique insights he gained from working on both sides of the channel, highlighting the critical role of distribution in understanding the entire value chain and crafting effective go-to-market strategies. We also explore the nuances of building scalable SMB programs versus driving high-value, complex enterprise solutions.From enabling partners with simplified automation tools to tailoring strategies for specific verticals, Luca's approach emphasizes aligning with partner needs to deliver impactful outcomes. He also sheds light on the future of the channel, touching on opportunities in cybersecurity, IT optimization, and the evolving hybrid cloud landscape.Whether you're navigating SMB complexities or scaling enterprise partnerships, this episode is packed with actionable takeaways to elevate your channel strategy. Tune in for a masterclass in partnership excellence!Connect with Luca: https://www.linkedin.com/in/luca-marinelli-3911b22/_________________________Learn more about Channext

This podcast interview focuses on the entrepreneurial journey to make buying and selling in B2B remarkably easier.  My guest is Mark Fershteyn, Founder and CEO of Recapped. Mark is a tech entrepreneur on a mission. He has a passion for building things from scratch. He specifically prefers going from "zero to one" rather than maintaining existing systems, describing himself as someone who enjoys "bushwhacking through the jungle" and forging new trails. His entrepreneurial journey includes diverse experiences: He co-founded Tryhard Games LLC. Led sales at App Academy, a coding bootcamp, and has a remarkable history of taking on challenging situations. At Citrix, he volunteered to manage their worst-performing sales team - one where no one was making quota. Within 6-9 months, he transformed it into a top-three revenue-producing vertical. In Jun 2019, Mark founded Recapped, a customer collaboration platform that helps B2B sellers work more effectively with buyers.  Their mission: to solve the "messy middle" of sales and change the way how B2B sales teams collaborate with buyers and close deals.  And this inspired me, and hence I invited Mark to my podcast. We explore how he transformed Recapped from a side project into a game-changing deal collaboration platform, achieving a remarkable 44% win rate for customers - far above the industry standard of 15-18%. He reveals counterintuitive insights from his sales process optimization at Citrix and elaborates on his approach to building a remarkable software company. Last but not least, he shares his unusual incentive approach that helped him and his team to significantly grow a high-quality pipeline. Here's one of his quotes I fundamentally believe 90% of your Salesforce data should be client-facing and should be shared with the prospect... if you're not on the same page, get them out of your pipeline and go focus on deals that are actually going to move the needle. During this interview, you will learn four things: Why he would split the focus 50/50 between product and distribution if he would ever start again? How he's increased close rates by deliberately blending in more professional services How 10% of features but 10x the marketing can outperform having more features but less visibility How the science of selling is 80-90% of success, while art is only 10-20% - making the process repeatable matters more than individual talent For more information about the guest from this week: Mark Fershteyn Website: Recapped Subscribe to the Daily SaaS Reflection Get my free, 1 min daily reflection on shaping a B2B SaaS business no one can ignore. Subscribe here Yes, it's actually daily. And yes, people actually stay subscribed (Just see what peer B2B SaaS CEOs say) My promise: It's short. To the point. Inspiring. And valuable. Learn more about your ad choices. Visit megaphone.fm/adchoices

Satyam talks about the role of research in organizations, focusing on its connection to leadership and business goals. He explains how researchers can align their work with business needs, share findings effectively, and position research as a key part of decision-making.

Summary In this episode of Future Fuzz, host Justin Campbell sits down with Charlotte Graham-Cumming, CEO of Ice Blue Sky, to challenge traditional B2B marketing practices. Charlotte critiques Marketing Qualified Leads (MQLs) as outdated vanity metrics and champions Marketing Qualified Accounts (MQAs) as a better way to measure engagement. She highlights the power of data-driven strategies, including how AI can reduce churn and accelerate sales cycles, and discusses the impact of account-based marketing (ABM). Charlotte also shares her journey as a female leader in tech, reflecting on overcoming challenges and fostering confidence in leadership. Guest Bio Charlotte is the founder and CEO of Ice Blue Sky, a leading B2B marketing agency specializing in strategic and account-based marketing (ABM) solutions for global technology brands. With over 16 years of experience, she has helped clients such as Cisco, Citrix, IBM, and Brother achieve their growth and success goals through innovative, impactful campaigns. Charlotte is an active member of a network of entrepreneurs, where she collaborates with peers to exchange best practices and drive mutual success. She is passionate about crafting effective marketing strategies, enabling sales teams, and building strong partner channels. As a contributor to a bestselling business book and a recipient of multiple awards, Charlotte's work has been widely recognized for its impact. She enjoys working with individuals who share her vision and values and is always eager to embrace new opportunities to learn and contribute. Chapters 00:00 Introduction to Charlotte Graham-Cumming and Ice Blue Sky 02:21 Why MQLs Are Failing Marketing and Sales 06:01 The Shift to Marketing Qualified Accounts (MQAs) 09:21 Using Psychology to Align Marketing and Sales 14:01 Leveraging AI to Analyze and Improve Data 18:51 Personalization and the Power of ABM 21:16 Founding Ice Blue Sky: Simplifying Complexity 23:43 Breaking Barriers: Female Leadership in Tech Marketing 26:04 Social Conditioning and Building Confidence as a Leader LinkedIn Follow Charlotte on LinkedIn here Follow Justin on LinkedIn here Instagram Follow Charlotte on Instagram here

In this episode of The Citrix Session, Bill Sutton and guests delve into Citrix's recent strategic acquisitions of Device Trust and Strong Network, examining how these integrate with Citrix's security framework and enhance hybrid work environments. Join Andy Whiteside, Aaron Banner, Todd Smith, and Geremy Meyers as they explore the implications of these new capabilities on zero-trust architecture and secure private access. Discover how Citrix is not just improving security measures but also facilitating app development within its platform to adapt to the evolving needs of modern enterprises. Whether you're a security professional or involved in enterprise IT, this discussion will provide deep insights into how Citrix's latest enhancements can streamline operations and fortify security protocols in your organization.

Join us in episode 173 of the Citrix Session where host Bill Sutton, Director of Modern Workspace at XenTegra, and guest Geremy Meyers, ATS Director at Citrix, delve into Citrix's latest strategic move—the acquisition of Unicon. In this episode, they explore how this acquisition integrates with Citrix's current offerings, particularly focusing on Unicon's thin client operating system and cloud-based management stack. Discover the implications for enhanced security and management in VDI environments and how this aligns with Citrix's goal to simplify access to both cloud and SAS-based apps. Whether you're a tech enthusiast or a professional navigating the Citrix ecosystem, this discussion will provide you with valuable insights into the future of workspace technology.

In this episode, we explore the efficient storage of honeypot logs in databases, issues with Citrix's Session Recording Agent and Windows Update. Ivanti is having another interesting security event and our SANS.edu graduate student Rich Green talks about his research on Passkeys. Extracting Practical Observations from Impractical Datasets: A SANS Internet Storm Center diary entry discusses strategies for analyzing complex datasets to derive actionable insights. https://isc.sans.edu/diary/Extracting%20Practical%20Observations%20from%20Impractical%20Datasets/31582 Citrix Session Recording Agent Update Issue: Citrix reports that Microsoft's January security update fails or reverts on machines with the 2411 Session Recording Agent installed, providing guidance on addressing this issue. https://support.citrix.com/s/article/CTX692505-microsofts-january-security-update-failsreverts-on-a-machine-with-2411-session-recording-agent?language=en_US Ivanti Endpoint Manager Security Advisory: Ivanti releases a security advisory for Endpoint Manager versions 2024 and 2022 SU6, detailing vulnerabilities and recommended actions. https://forums.ivanti.com/s/article/Security-Advisory-EPM-January-2025-for-EPM-2024-and-EPM-2022-SU6?language=en_US Revolutionizing Enterprise Security: The Exciting Future of Passkeys Beyond Passwords: A SANS.edu research paper explores the shift from traditional passwords to passkeys, highlighting the benefits and challenges of adopting passwordless authentication methods. https://www.sans.edu/cyber-research/revolutionizing-enterprise-security-exciting-future-passkeys-beyond-passwords/

Join Rob on the Karma Stories Podcast as he delves into six jaw-dropping tech support stories from Reddit's Tales from Tech Support subreddit. From a CFO learning the hard way about the importance of MFA to a one-man IT show dealing with a nightmare user, these stories reveal the often unseen challenges faced by tech support heroes. Plus, hear about the bizarre case of a Spider-Man game saving a computer and the hilarious mishaps in cable pulling. Tune in for an unforgettable episode that highlights the highs and lows of the tech world.Submit your own stories to KarmaStoriesPod@gmail.com.Check out our NEW PODCAST! Karma Crime!https://kccyt.com/KarmaCrimeApplePodcastshttps://kccyt.com/KarmaCrimeSpotifyhttps://kccyt.com/KarmaCrimeAmazonMusichttps://kccyt.com/KarmaCrimeDeezerKarma Stories is available on all major Podcasting Platforms and on YouTube under the @KarmaStoriesPodcast handle. We cover stories from popular Reddit Subreddits like Entitled Parents, Tales From Tech Support, Pro Revenge and Malicious Compliance. You can find new uploads here every single day of the week!Rob's 3D Printing Site: https://Dangly3D.comUSE CODE "NEWYEAR25" FOR 25% OFF YOUR ENTIRE ORDER!Become a supporter of this podcast: https://www.spreaker.com/podcast/karma-stories--5098578/support.

Fred Koopmans is Chief Product Officer at BigPanda, an AIOps company. He is someone who has managed to ride the tech waves being at the right place at the right time - mobile video optimization on wireless networks, cloud, data platforms, open source, and now AI. Prior to BigPanda, Fred was SVP of Product Management at Cloudera, and Sr. Director Product Management at Citrix, and in engineering roles at Bytemobile. In this episode, Fred shares his approach of writing a reverse job description that tells recruiters exactly what he is looking for. Here are some key highlights and the topics we cover: * What is the flavor of conversations with customers around AI, especially with IT people * How writing can help one become a high-intention person * What is a reverse job description and how to write one * Why it is paramount to have an answer to the question - "Where do you see yourself in five years?" * How does a PM do an effective job in "engineering-led" or "sales-led" companies * What do engineers wish product managers know and what do product managers wish engineers know * How to build deep relationships with customers * How to steer a product org away from doing only what customers want * How to have good skip level 1:1s Connect with Fred on LinkedIn: https://www.linkedin.com/in/fred-koopmans/ Connect with Rahul Abhyankar, host of Product Leader's Journey: https://www.linkedin.com/in/rahulabhyankar https://www.productleadersjourney.com

Welcome to Episode 391 of the Microsoft Cloud IT Pro Podcast. In this episode, Scott sits down with Kamal Srinivasan from Parallels to talk how you can think about delivering applications and desktops to your users in post-Citrix world. As the traditional “Citrix” model faces disruption, we explore how remote work, hybrid scenarios, and cloud-based computing are redefining how organizations deliver applications and desktops to end users. Key topics include: The shift away from static, on-prem desktops to dynamic, cloud-based compute. How to optimize app delivery by building on top of Microsoft's Azure Virtual Desktop (AVD) platform. Bridging the gap between legacy systems and cloud-based solutions, enabling businesses to roll out remote desktop solutions like AVD and Parallels RAS gradually while scaling down on-prem infrastructure. The changing role of IT admins in supporting a workforce that operates anywhere, anytime. Listen in and learn how your organization can streamline operations and empower your workforce with flexible, efficient application and desktop delivery. Like what you hear and want to support the show? Check out our membership options. Show Notes Parallels Parallels RAS Parallels RAS Resources Parallels Secure Workspace Enhance your Azure Virtual Desktop experience with Parallels RAS Windows 365 Link Episode 390: Microsoft Ignite 2024: Windows 365 Link About the sponsors Would you like to become the irreplaceable Microsoft 365 resource for your organization? Let us know!

Ontario-based Zameer Rizvi is the Founder & CEO of Odesso and has a great entrepreneurial story. Zameer has two decades of institutional and professional experience with notable companies such as Amazon, VMware, Amgen, Citrix, and Blackberry. Patient care has been deeply neglected as healthcare systems are overburdened and underfunded. Zameer recognized this in and realized he had to do something and so he launched Odesso in 2017. Odesso helps healthcare providers shift focus back to the patient by alleviating operational challenges. The company powers some of the most notable players in North America's healthcare industry today. Odesso helps healthcare providers shift focus back to the patient by alleviating operational challenges. The company powers some of the most notable players in North America's healthcare industry today. He'd love to share his journey, why he started the company, where it's at and how it's helping solve one of North America's biggest health challenges today. Join Our Community of Canadian Entrepreneurs! Entrepreneurs are the driving force behind Canada's economy, and we're here to support them every step of the way. For exclusive insights, tips, and success stories from Canada's top business leaders, subscribe to our YouTube channel and follow us on Facebook, Instagram, LinkedIn, and Twitter. Want to stay ahead with the latest #entrepreneur podcasts, business strategies, and news? Don't miss out—subscribe to our bi-weekly newsletter for updates delivered straight to your inbox! Join thousands of Canadian entrepreneurs who rely on us for the resources they need to succeed.

We are super excited to bring you an extra special Get Amplified festive present!​​Mark Templeton rejoins us to share his wisdom and learnings in this episode, Foundations of Leadership.​We catch up with Mark, who continues to give back through board service and CEO mentoring. ​As former CEO of Citrix, Mark offers invaluable insights into personal growth, emphasising the importance of gratitude and self-reflection as essential components for enhancing one's role in fast-paced industries.Mark enlightens us on the concept of strategic renewal, stressing the importance of self-disruption to stay ahead in rapidly changing industries. By sharing stories of Apple's reinvention and Intel's struggles, Mark highlights the challenges of maintaining relevance and navigating innovation.  Mark cites "The Innovator's Dilemma" revealing the crucial balance between stability and innovation.Referring to Patrick Lencioni's Five Dysfunctions of a Team, Mark tell us, "It's probably the one reading that changed the course of my career more than any other single thing"​The books Mark covers are:The Innovators Dilemma by Clayton ChristensenLeaders Make the Future by Bob JohansenThe Five Dysfunctions of a Team by Patrick LencioniThe Growth Mindset by Dr Carol DweckThe Velveteen Rabbit by Margery WilliamsFinally, with inspiration from "The Velveteen Rabbit," we celebrate authenticity as a path to personal freedom and success, advocating for vulnerability and self-awareness as keys to growth.We would love you to follow us on LinkedIn! https://www.linkedin.com/company/amplified-group/

In this episode, I cover the fallout from the recent Windows Updates, updates from Google on their GenAI initiatives, worrying reports of brute force attacks on Citrix Netscalers and more! Reference Links: https://www.rorymon.com/blog/podcast-milestone-citrix-netscalers-under-attack-browser-usage-metrics/

This week I cover major tech acquisition from Citrix and TeamViewer, I give a rundown of this month's Patch Tuesday news, a lot of AI news and more! Reference Links: https://www.rorymon.com/blog/major-acquisitions-announced-final-patch-tuesday-of-2024-broadcom-backtracks/

Guest: Dan Streetman, CEO of TaniumA graduate of West Point who served in Iraq combat operations, Tanium CEO Dan Streetman can't help but compare his business career to his military experience. Understanding huge structures and processes is a crucial skill at both Tanium and in the Army, he says, as are the skills for aligning people around a shared mission.“Before you go on an operation, you write a thing called an operations order ... [and] one of the most important things at the operations order is this paragraph called the commander's intent,” he explains, “which describes how you believe the mission is going to be accomplished and why it's important.”“You may end up doing something completely different. But as long as you understand the mission and the commander's intent, the organization can do amazing things.”Chapters:(01:05) - Election Day (02:44) - Ranger School (06:42) - Parenting and business school (09:59) - Military structures (12:27) - Serving in Iraq (15:59) - Back to normal life (21:37) - Working out (24:14) - Quality sleep (26:37) - Non-founder CEOs (31:35) - Getting the job (35:56) - Earning respect (38:49) - TIBCO (43:40) - Redline (46:37) - Going public (53:54) - Time horizons (58:35) - Free AI (01:03:11) - Whar “grit” mans to Dan (01:03:40) - Who Tanium is hiring Mentioned in this episode: Ronald Reagan, Terri Streetman, Ironman Triathlons, Jeff Bezos and Amazon, Stanley McChrystal, Jon Abizaid, Charles Jacoby, Thomas Siebel and C3, Salesforce, Bill McDermott, Carl Eschenbach, Marc Benioff, Garmin, Mark McLaughlin, Thinking in Bets by Annie Duke, World Series of Poker, Amdocs, David and Orion Hindawi, Citrix, Harvard University, Pets.com, Ben Horowitz, Vista Equity Partners, Vivek Ranadivé, Robert Smith, Operation Warp Speed, BreakLine, Bipul Sinha and Rubrik, Mikhail Gorbachev, F. Scott Fitzgerald, OpenAI and ChatGPT, and Google.Links:Connect with DanLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

We have announced our first speaker, friend of the show Dylan Patel, and topic slates for Latent Space LIVE! at NeurIPS. Sign up for IRL/Livestream and to debate!We are still taking questions for our next big recap episode! Submit questions and messages on Speakpipe here for a chance to appear on the show!The vibe shift we observed in July - in favor of Claude 3.5 Sonnet, first introduced in June — has been remarkably long lived and persistent, surviving multiple subsequent updates of 4o, o1 and Gemini versions, for Anthropic's Claude to end 2024 as the preferred model for AI Engineers and even being the exclusive choice for new code agents like bolt.new (our next guest on the pod!), which unlocked so much performance from Claude Sonnet that it went from $0 to $4m ARR in 4 weeks when it launched last month.Anthropic has now raised an additional $4b from Amazon and made an incredibly well received update of Claude 3.5 Sonnet (and Haiku), making significant improvements in performance over its predecessors:Solving SWE-BenchAs part of the October Sonnet release, Anthropic teased a blink-and-you'll miss it result:The updated Claude 3.5 Sonnet shows wide-ranging improvements on industry benchmarks, with particularly strong gains in agentic coding and tool use tasks. On coding, it improves performance on SWE-bench Verified from 33.4% to 49.0%, scoring higher than all publicly available models—including reasoning models like OpenAI o1-preview and specialized systems designed for agentic coding. It also improves performance on TAU-bench, an agentic tool use task, from 62.6% to 69.2% in the retail domain, and from 36.0% to 46.0% in the more challenging airline domain. The new Claude 3.5 Sonnet offers these advancements at the same price and speed as its predecessor.This was followed up by a blogpost a week later from today's guest, Erik Schluntz, the engineer who implemented and scored this SOTA result using a simple, non-overengineered version of the SWE-Agent framework (you can see the submissions here). We have previously covered the SWE-Bench story extensively:* Speaking with SWEBench/SWEAgent authors at ICLR* Speaking with Cosine Genie, the previous SOTA (43.8%) on SWEBench Verified (with brief update at DevDay 2024)* Speaking with Shunyu Yao on SWEBench and the ReAct paradigm driving SWE-AgentOne of the notable inclusions in this blogpost are the tools that Erik decided to give Claude, e.g. the “Edit Tool”:The tools teased in the SWEBench submission/blogpost were then polished up and released with Computer Use…And you can also see even more computer use tools given in the new Model Context Protocol servers:Claude Computer UseBecause it is one of the best received AI releases of the year, we recommend watching the 2 minute Computer Use intro (and related demos) in its entirety:Eric also worked on Claude's function calling, tool use, and computer use APIs, so we discuss that in the episode.Erik [00:53:39]: With computer use, just give the thing a browser that's logged into what you want to integrate with, and it's going to work immediately. And I see that reduction in friction as being incredibly exciting. Imagine a customer support team where, okay, hey, you got this customer support bot, but you need to go integrate it with all these things. And you don't have any engineers on your customer support team. But if you can just give the thing a browser that's logged into your systems that you need it to have access to, now, suddenly, in one day, you could be up and rolling with a fully integrated customer service bot that could go do all the actions you care about. So I think that's the most exciting thing for me about computer use, is reducing that friction of integrations to almost zero.As you'll see, this is very top of mind for Erik as a former Robotics founder who's company basically used robots to interface with human physical systems like elevators.Full Video episodePlease like and subscribe!Show Notes* Eric Schluntz* “Raising the bar on SWE-Bench Verified”* Cobalt Robotics* SWE-Bench* SWE-Bench Verified* Human Eval & other benchmarks* Anthropic Workbench* Aider* Cursor* Fireworks AI* E2B* Amanda Askell* Toyota Research* Physical Intelligence (Pi)* Chelsea Finn* Josh Albrecht* Eric Jang* 1X* Dust* Cosine Episode* Bolt* Adept Episode* TauBench* LMSys EpisodeTimestamps* [00:00:00] Introductions* [00:03:39] What is SWE-Bench?* [00:12:22] SWE-Bench vs HumanEval vs others* [00:15:21] SWE-Agent architecture and runtime* [00:21:18] Do you need code indexing?* [00:24:50] Giving the agent tools* [00:27:47] Sandboxing for coding agents* [00:29:16] Why not write tests?* [00:30:31] Redesigning engineering tools for LLMs* [00:35:53] Multi-agent systems* [00:37:52] Why XML so good?* [00:42:57] Thoughts on agent frameworks* [00:45:12] How many turns can an agent do?* [00:47:12] Using multiple model types* [00:51:40] Computer use and agent use cases* [00:59:04] State of AI robotics* [01:04:24] Robotics in manufacturing* [01:05:01] Hardware challenges in robotics* [01:09:21] Is self-driving a good business?TranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners. And today we're in the new studio with my usual co-host, Shawn from Smol AI.Swyx [00:00:14]: Hey, and today we're very blessed to have Erik Schluntz from Anthropic with us. Welcome.Erik [00:00:19]: Hi, thanks very much. I'm Erik Schluntz. I'm a member of technical staff at Anthropic, working on tool use, computer use, and Swebench.Swyx [00:00:27]: Yeah. Well, how did you get into just the whole AI journey? I think you spent some time at SpaceX as well? Yeah. And robotics. Yeah. There's a lot of overlap between like the robotics people and the AI people, and maybe like there's some interlap or interest between language models for robots right now. Maybe just a little bit of background on how you got to where you are. Yeah, sure.Erik [00:00:50]: I was at SpaceX a long time ago, but before joining Anthropic, I was the CTO and co-founder of Cobalt Robotics. We built security and inspection robots. These are sort of five foot tall robots that would patrol through an office building or a warehouse looking for anything out of the ordinary. Very friendly, no tasers or anything. We would just sort of call a remote operator if we saw anything. We have about 100 of those out in the world, and had a team of about 100. We actually got acquired about six months ago, but I had left Cobalt about a year ago now, because I was starting to get a lot more excited about AI. I had been writing a lot of my code with things like Copilot, and I was like, wow, this is actually really cool. If you had told me 10 years ago that AI would be writing a lot of my code, I would say, hey, I think that's AGI. And so I kind of realized that we had passed this level, like, wow, this is actually really useful for engineering work. That got me a lot more excited about AI and learning about large language models. So I ended up taking a sabbatical and then doing a lot of reading and research myself and decided, hey, I want to go be at the core of this and joined Anthropic.Alessio [00:01:53]: And why Anthropic? Did you consider other labs? Did you consider maybe some of the robotics companies?Erik [00:02:00]: So I think at the time I was a little burnt out of robotics, and so also for the rest of this, any sort of negative things I say about robotics or hardware is coming from a place of burnout, and I reserve my right to change my opinion in a few years. Yeah, I looked around, but ultimately I knew a lot of people that I really trusted and I thought were incredibly smart at Anthropic, and I think that was the big deciding factor to come there. I was like, hey, this team's amazing. They're not just brilliant, but sort of like the most nice and kind people that I know, and so I just felt like I could be a really good culture fit. And ultimately, I do care a lot about AI safety and making sure that I don't want to build something that's used for bad purposes, and I felt like the best chance of that was joining Anthropic.Alessio [00:02:39]: And from the outside, these labs kind of look like huge organizations that have these obscureSwyx [00:02:44]: ways to organize.Alessio [00:02:45]: How did you get, you joined Anthropic, did you already know you were going to work on of the stuff you publish or you kind of join and then you figure out where you land? I think people are always curious to learn more.Erik [00:02:57]: Yeah, I've been very happy that Anthropic is very bottoms up and sort of very sort of receptive to whatever your interests are. And so I joined sort of being very transparent of like, hey, I'm most excited about code generation and AI that can actually go out and sort of touch the world or sort of help people build things. And, you know, those weren't my initial initial projects. I also came in and said, hey, I want to do the most valuable possible thing for this company and help Anthropic succeed. And, you know, like, let me find the balance of those. So I was working on lots of things at the beginning, you know, function calling, tool use. And then sort of as it became more and more relevant, I was like, oh, hey, like, let's it's time to go work on encoding agents and sort of started looking at SWE-Bench as sort of a really good benchmark for that.Swyx [00:03:39]: So let's get right into SWE-Bench. That's one of the many claims to fame. I feel like there's just been a series of releases related with Cloud 3.5 Sonnet around about two or three months ago, 3.5 Sonnet came out and it was it was a step ahead in terms of a lot of people immediately fell in love with it for coding. And then last month you released a new updated version of Cloud Sonnet. We're not going to talk about the training for that because that's still confidential. But I think Anthropic's done a really good job, like applying the model to different things. So you took the lead on SWE-Bench, but then also we're going to talk a little bit about computer use later on. So maybe just give us a context about why you looked at SWE-Bench Verified and you actually came up with a whole system for building agents that would maximally use the model well. Yeah.Erik [00:04:28]: So I'm on a sub team called Product Research. And basically the idea of product research is to really understand what end customers care about and want in the models and then work to try to make that happen. So we're not focused on sort of these more abstract general benchmarks like math problems or MMLU, but we really care about finding the things that are really valuable and making sure the models are great at those. And so because I've been interested in coding agents, I knew that this would be a really valuable thing. And I knew there were a lot of startups and our customers trying to build coding agents with our models. And so I said, hey, this is going to be a really good benchmark to be able to measure that and do well on it. And I wasn't the first person at Anthropic to find SWE-Bench, and there are lots of people that already knew about it and had done some internal efforts on it. It fell to me to sort of both implement the benchmark, which is very tricky, and then also to sort of make sure we had an agent and basically like a reference agent, maybe I'd call it, that could do very well on it. Ultimately, we want to provide how we implemented that reference agent so that people can build their own agents on top of our system and get sort of the most out of it as possible. So with this blog post we released on SWE-Bench, we released the exact tools and the prompt that we gave the model to be able to do well.Swyx [00:05:46]: For people who don't know, who maybe haven't dived into SWE-Bench, I think the general perception is they're like tasks that a software engineer could do. I feel like that's an inaccurate description because it is basically, one, it's a subset of like 12 repos. It's everything they could find that every issue with like a matching commit that could be tested. So that's not every commit. And then SWE-Bench verified is further manually filtered by OpenAI. Is that an accurate description and anything you'd change about that? Yes.Erik [00:06:14]: SWE-Bench is, it certainly is a subset of all tasks. It's first of all, it's only Python repos, so already fairly limited there. And it's just 12 of these popular open source repos. And yes, it's only ones where there were tests that passed at the beginning and also new tests that were introduced that test the new feature that's added. So it is, I think, a very limited subset of real engineering tasks. But I think it's also very valuable because even though it's a subset, it is true engineering tasks. And I think a lot of other benchmarks are really kind of these much more artificial setups of even if they're related to coding, they're more like coding interview style questions or puzzles that I think are very different from day-to-day what you end up doing. I don't know how frequently you all get to use recursion in your day-to-day job, but whenever I do, it's like a treat. And I think it's almost comical, and a lot of people joke about this in the industry, is how different interview questions are.Swyx [00:07:13]: Dynamic programming. Yeah, exactly.Erik [00:07:15]: Like, you code. From the day-to-day job. But I think one of the most interesting things about SWE-Bench is that all these other benchmarks are usually just isolated puzzles, and you're starting from scratch. Whereas SWE-Bench, you're starting in the context of an entire repository. And so it adds this entirely new dimension to the problem of finding the relevant files. And this is a huge part of real engineering, is it's actually pretty rare that you're starting something totally greenfield. You need to go and figure out where in a codebase you're going to make a change and understand how your work is going to interact with the rest of the systems. And I think SWE-Bench does a really good job of presenting that problem.Alessio [00:07:51]: Why do we still use human eval? It's like 92%, I think. I don't even know if you can actually get to 100% because some of the data is not actuallySwyx [00:07:59]: solvable.Alessio [00:08:00]: Do you see benchmarks like that, they should just get sunsetted? Because when you look at the model releases, it's like, oh, it's like 92% instead of like 89%, 90% on human eval versus, you know, SWE-Bench verified is you have 49%, right? Which is like, before 45% was state of the art, but maybe like six months ago it was like 30%, something like that. So is that a benchmark that you think is going to replace human eval, or do you think they're just going to run in parallel?Erik [00:08:27]: I think there's still need for sort of many different varied evals. Like sometimes you do really care about just sort of greenfield code generation. And so I don't think that everything needs to go to sort of an agentic setup.Swyx [00:08:39]: It would be very expensive to implement.Erik [00:08:41]: The other thing I was going to say is that SWE-Bench is certainly hard to implement and expensive to run because each task, you have to parse, you know, a lot of the repo to understand where to put your code. And a lot of times you take many tries of writing code, running it, editing it. It can use a lot of tokens compared to something like human eval. So I think there's definitely a space for these more traditional coding evals that are sort of easy to implement, quick to run, and do get you some signal. Maybe hopefully there's just sort of harder versions of human eval that get created.Alessio [00:09:14]: How do we get SWE-Bench verified to 92%? Do you think that's something where it's like line of sight to it, or it's like, you know, we need a whole lot of things to go right? Yeah, yeah.Erik [00:09:23]: And actually, maybe I'll start with SWE-Bench versus SWE-Bench verified, which is I think something I missed earlier. So SWE-Bench is, as we described, this big set of tasks that were scraped.Swyx [00:09:33]: Like 12,000 or something?Erik [00:09:34]: Yeah, I think it's 2,000 in the final set. But a lot of those, even though a human did them, they're actually impossible given the information that comes with the task. The most classic example of this is the test looks for a very specific error string. You know, like assert message equals error, something, something, something. And unless you know that's exactly what you're looking for, there's no way the model is going to write that exact same error message, and so the tests are going to fail. So SWE-Bench verified was actually made in partnership with OpenAI, and they hired humans to go review all these tasks and pick out a subset to try to remove any obstacle like this that would make the tasks impossible. So in theory, all of these tasks should be fully doable by the model. And they also had humans grade how difficult they thought the problems would be. Between less than 15 minutes, I think 15 minutes to an hour, an hour to four hours, and greater than four hours. So that's kind of this interesting sort of how big the problem is as well. To get to SWE-Bench verified to 90%, actually, maybe I'll also start off with some of the remaining failures that I see when running our model on SWE-Bench. I'd say the biggest cases are the model sort of operates at the wrong level of abstraction. And what I mean by that is the model puts in maybe a smaller band-aid when really the task is asking for a bigger refactor. And some of those, you know, is the model's fault, but a lot of times if you're just sort of seeing the GitHub issue, it's not exactly clear which way you should do. So even though these tasks are possible, there's still some ambiguity in how the tasks are described. That being said, I think in general, language models frequently will produce a smaller diff when possible, rather than trying to do a big refactor. I think another area, at least the agent we created, didn't have any multimodal abilities, even though our models are very good at vision. So I think that's just a missed opportunity. And if I read through some of the traces, there's some funny things where, especially the tasks on matplotlib, which is a graphing library, the test script will save an image and the model will just say, okay, it looks great, you know, without looking at it. So there's certainly extra juice to squeeze there of just making sure the model really understands all the sides of the input that it's given, including multimodal. But yeah, I think like getting to 92%. So this is something that I have not looked at, but I'm very curious about. I want someone to look at, like, what is the union of all of the different tasks that have been solved by at least one attempt at SWE-Bench Verified. There's a ton of submissions to the benchmark, and so I'd be really curious to see how many of those 500 tasks at least someone has solved. And I think, you know, there's probably a bunch that none of the attempts have ever solved. And I think it'd be interesting to look at those and say, hey, is there some problem with these? Like, are these impossible? Or are they just really hard and only a human could do them?Swyx [00:12:22]: Yeah, like specifically, is there a category of problems that are still unreachable by any LLM agent? Yeah, yeah. And I think there definitely are.Erik [00:12:28]: The question is, are those fairly inaccessible or are they just impossible because of the descriptions? But I think certainly some of the tasks, especially the ones that the human graders reviewed as like taking longer than four hours are extremely difficult. I think we got a few of them right, but not very many at all in the benchmark.Swyx [00:12:49]: And did those take less than four hours?Erik [00:12:51]: They certainly did less than, yeah, than four hours.Swyx [00:12:54]: Is there a correlation of length of time with like human estimated time? You know what I mean? Or do we have sort of more of X paradox type situations where it's something super easy for a model, but hard for a human?Erik [00:13:06]: I actually haven't done the stats on that, but I think that'd be really interesting to see of like how many tokens does it take and how is that correlated with difficulty? What is the likelihood of success with difficulty? I think actually a really interesting thing that I saw, one of my coworkers who was also working on this named Simon, he was focusing just specifically on the very hard problems, the ones that are said to take longer than four hours. And he ended up sort of creating a much more detailed prompt than I used. And he got a higher score on the most difficult subset of problems, but a lower score overall on the whole benchmark. And the prompt that I made, which is sort of much more simple and bare bones, got a higher score on the overall benchmark, but lower score on the really hard problems. And I think some of that is the really detailed prompt made the model sort of overcomplicate a lot of the easy problems, because honestly, a lot of the suite bench problems, they really do just ask for a bandaid where it's like, hey, this crashes if this is none, and really all you need to do is put a check if none. And so sometimes trying to make the model think really deeply, it'll think in circles and overcomplicate something, which certainly human engineers are capable of as well. But I think there's some interesting thing of the best prompt for hard problems might not be the best prompt for easy problems.Alessio [00:14:19]: How do we fix that? Are you supposed to fix it at the model level? How do I know what prompt I'm supposed to use?Swyx [00:14:25]: Yeah.Erik [00:14:26]: And I'll say this was a very small effect size, and so I think this isn't worth obsessing over. I would say that as people are building systems around agents, I think the more you can separate out the different kinds of work the agent needs to do, the better you can tailor a prompt for that task. And I think that also creates a lot of like, for instance, if you were trying to make an agent that could both solve hard programming tasks, and it could just write quick test files for something that someone else had already made, the best way to do those two tasks might be very different prompts. I see a lot of people build systems where they first sort of have a classification, and then route the problem to two different prompts. And that's sort of a very effective thing, because one, it makes the two different prompts much simpler and smaller, and it means you can have someone work on one of the prompts without any risk of affecting the other tasks. So it creates like a nice separation of concerns. Yeah.Alessio [00:15:21]: And the other model behavior thing you mentioned, they prefer to generate like shorter diffs. Why is that? Like, is there a way? I think that's maybe like the lazy model question that people have is like, why are you not just generating the whole code instead of telling me to implement it?Swyx [00:15:36]: Are you saving tokens? Yeah, exactly. It's like conspiracy theory. Yeah. Yeah.Erik [00:15:41]: Yeah. So there's two different things there. One is like the, I'd say maybe like doing the easier solution rather than the hard solution. And I'd say the second one, I think what you're talking about is like the lazy model is like when the model says like dot, dot, dot, code remains the same.Swyx [00:15:52]: Code goes here. Yeah. I'm like, thanks, dude.Erik [00:15:55]: But honestly, like that just comes as like people on the internet will do stuff like that. And like, dude, if you're talking to a friend and you ask them like to give you some example code, they would definitely do that. They're not going to reroll the whole thing. And so I think that's just a matter of like, you know, sometimes you actually do just, just want like the relevant changes. And so I think it's, this is something where a lot of times like, you know, the models aren't good at mind reading of like which one you want. So I think that like the more explicit you can be in prompting to say, Hey, you know, give me the entire thing, no, no elisions versus just give me the relevant changes. And that's something, you know, we want to make the models always better at following those kinds of instructions.Swyx [00:16:32]: I'll drop a couple of references here. We're recording this like a day after Dario, Lex Friedman just dropped his five hour pod with Dario and Amanda and the rest of the crew. And Dario actually made this interesting observation that like, we actually don't want, we complain about models being too chatty in text and then not chatty enough in code. And so like getting that right is kind of a awkward bar because, you know, you, you don't want it to yap in its responses, but then you also want it to be complete in, in code. And then sometimes it's not complete. Sometimes you just want it to diff, which is something that Enthopic has also released with a, you know, like the, the fast edit stuff that you guys did. And then the other thing I wanted to also double back on is the prompting stuff. You said, you said it was a small effect, but it was a noticeable effect in terms of like picking a prompt. I think we'll go into suite agent in a little bit, but I kind of reject the fact that, you know, you need to choose one prompt and like have your whole performance be predicated on that one prompt. I think something that Enthopic has done really well is meta prompting, prompting for a prompt. And so why can't you just develop a meta prompt for, for all the other prompts? And you know, if it's a simple task, make a simple prompt, if it's a hard task, make a hard prompt. Obviously I'm probably hand-waving a little bit, but I will definitely ask people to try the Enthopic Workbench meta prompting system if they haven't tried it yet. I went to the Build Day recently at Enthopic HQ, and it's the closest I've felt to an AGI, like learning how to operate itself that, yeah, it's, it's, it's really magical.Erik [00:17:57]: Yeah, no, Claude is great at writing prompts for Claude.Swyx [00:18:00]: Right, so meta prompting. Yeah, yeah.Erik [00:18:02]: The way I think about this is that humans, even like very smart humans still use sort of checklists and use sort of scaffolding for themselves. Surgeons will still have checklists, even though they're incredible experts. And certainly, you know, a very senior engineer needs less structure than a junior engineer, but there still is some of that structure that you want to keep. And so I always try to anthropomorphize the models and try to think about for a human sort of what is the equivalent. And that's sort of, you know, how I think about these things is how much instruction would you give a human with the same task? And do you, would you need to give them a lot of instruction or a little bit of instruction?Alessio [00:18:36]: Let's talk about the agent architecture maybe. So first, runtime, you let it run until it thinks it's done or it reaches 200k context window.Swyx [00:18:45]: How did you come up? What's up with that?Erik [00:18:47]: Yeah.Swyx [00:18:48]: Yeah.Erik [00:18:49]: I mean, this, so I'd say that a lot of previous agent work built sort of these very hard coded and rigid workflows where the model is sort of pushed through certain flows of steps. And I think to some extent, you know, that's needed with smaller models and models that are less smart. But one of the things that we really wanted to explore was like, let's really give Claude the reins here and not force Claude to do anything, but let Claude decide, you know, how it should approach the problem, what steps it should do. And so really, you know, what we did is like the most extreme version of this is just give it some tools that it can call and it's able to keep calling the tools, keep thinking, and then yeah, keep doing that until it thinks it's done. And that's sort of the most, the most minimal agent framework that we came up with. And I think that works very well. I think especially the new Sonnet 3.5 is very, very good at self-correction, has a lot of like grit. Claude will try things that fail and then try, you know, come back and sort of try different approaches. And I think that's something that you didn't see in a lot of previous models. Some of the existing agent frameworks that I looked at, they had whole systems built to try to detect loops and see, oh, is the model doing the same thing, you know, more than three times, then we have to pull it out. And I think like the smarter the models are, the less you need that kind of extra scaffolding. So yeah, just giving the model tools and letting it keep sample and call tools until it thinks it's done was the most minimal framework that we could think of. And so that's what we did.Alessio [00:20:18]: So you're not pruning like bad paths from the context. If it tries to do something, it fails. You just burn all these tokens.Swyx [00:20:25]: Yes.Erik [00:20:26]: I would say the downside of this is that this is sort of a very token expensive way to doSwyx [00:20:29]: this. But still, it's very common to prune bad paths because models get stuck. Yeah.Erik [00:20:35]: But I'd say that, yeah, 3.5 is not getting stuck as much as previous models. And so, yeah, we wanted to at least just try the most minimal thing. Now, I would say that, you know, this is definitely an area of future research, especially if we talk about these problems that are going to take a human more than four hours. Those might be things where we're going to need to go prune bad paths to let the model be able to accomplish this task within 200k tokens. So certainly I think there's like future research to be done in that area, but it's not necessary to do well on these benchmarks.Swyx [00:21:06]: Another thing I always have questions about on context window things, there's a mini cottage industry of code indexers that have sprung up for large code bases, like the ones in SweetBench. You didn't need them? We didn't.Erik [00:21:18]: And I think I'd say there's like two reasons for this. One is like SweetBench specific and the other is a more general thing. The more general thing is that I think Sonnet is very good at what we call agentic search. And what this basically means is letting the model decide how to search for something. It gets the results and then it can decide, should it keep searching or is it done? Does it have everything it needs? So if you read through a lot of the traces of the SweetBench, the model is calling tools to view directories, list out things, view files. And it will do a few of those until it feels like it's found the file where the bug is. And then it will start working on that file. And I think like, again, this is all, everything we did was about just giving Claude the full reins. So there's no hard-coded system. There's no search system that you're relying on getting the correct files into context. This just totally lets Claude do it.Swyx [00:22:11]: Or embedding things into a vector database. Exactly. Oops. No, no.Erik [00:22:17]: This is very, very token expensive. And so certainly, and it also takes many, many turns. And so certainly if you want to do something in a single turn, you need to do RAG and just push stuff into the first prompt.Alessio [00:22:28]: And just to make it clear, it's using the Bash tool, basically doing LS, looking at files and then doing CAD for the following context. It can do that.Erik [00:22:35]: But it's file editing tool also has a command in it called view that can view a directory. It's very similar to LS, but it just sort of has some nice sort of quality of life improvements. So I think it'll only do an LS sort of two directories deep so that the model doesn't get overwhelmed if it does this on a huge file. I would say actually we did more engineering of the tools than the overall prompt. But the one other thing I want to say about this agentic search is that for SWE-Bench specifically, a lot of the tasks are bug reports, which means they have a stack trace in them. And that means right in that first prompt, it tells you where to go. And so I think this is a very easy case for the model to find the right files versus if you're using this as a general coding assistant where there isn't a stack trace or you're asking it to insert a new feature, I think there it's much harder to know which files to look at. And that might be an area where you would need to do more of this exhaustive search where an agentic search would take way too long.Swyx [00:23:33]: As someone who spent the last few years in the JS world, it'd be interesting to see SWE-Bench JS because these stack traces are useless because of so much virtualization that we do. So they're very, very disconnected with where the code problems are actually appearing.Erik [00:23:50]: That makes me feel better about my limited front-end experience, as I've always struggled with that problem.Swyx [00:23:55]: It's not your fault. We've gotten ourselves into a very, very complicated situation. And I'm not sure it's entirely needed. But if you talk to our friends at Vercel, they will say it is.Erik [00:24:04]: I will say SWE-Bench just released SWE-Bench Multimodal, which I believe is either entirely JavaScript or largely JavaScript. And it's entirely things that have visual components of them.Swyx [00:24:15]: Are you going to tackle that? We will see.Erik [00:24:17]: I think it's on the list and there's interest, but no guarantees yet.Swyx [00:24:20]: Just as a side note, it occurs to me that every model lab, including Enthopic, but the others as well, you should have your own SWE-Bench, whatever your bug tracker tool. This is a general methodology that you can use to track progress, I guess.Erik [00:24:34]: Yeah, sort of running on our own internal code base.Swyx [00:24:36]: Yeah, that's a fun idea.Alessio [00:24:37]: Since you spend so much time on the tool design, so you have this edit tool that can make changes and whatnot. Any learnings from that that you wish the AI IDEs would take in? Is there some special way to look at files, feed them in?Erik [00:24:50]: I would say the core of that tool is string replace. And so we did a few different experiments with different ways to specify how to edit a file. And string replace, basically, the model has to write out the existing version of the string and then a new version, and that just gets swapped in. We found that to be the most reliable way to do these edits. Other things that we tried were having the model directly write a diff, having the model fully regenerate files. That one is actually the most accurate, but it takes so many tokens, and if you're in a very big file, it's cost prohibitive. There's basically a lot of different ways to represent the same task. And they actually have pretty big differences in terms of model accuracy. I think Eider, they have a really good blog where they explore some of these different methods for editing files, and they post results about them, which I think is interesting. But I think this is a really good example of the broader idea that you need to iterate on tools rather than just a prompt. And I think a lot of people, when they make tools for an LLM, they kind of treat it like they're just writing an API for a computer, and it's sort of very minimal. It's sort of just the bare bones of what you'd need, and honestly, it's so hard for the models to use those. Again, I come back to anthropomorphizing these models. Imagine you're a developer, and you just read this for the very first time, and you're trying to use it. You can do so much better than just sort of the bare API spec of what you'd often see. Include examples in the description. Include really detailed explanations of how things work. And I think that, again, also think about what is the easiest way for the model to represent the change that it wants to make. For file editing, as an example, writing a diff is actually... Let's take the most extreme example. You want the model to literally write a patch file. I think patch files have at the very beginning numbers of how many total lines change. That means before the model has actually written the edit, it needs to decide how many numbers or how many lines are going to change.Swyx [00:26:52]: Don't quote me on that.Erik [00:26:54]: I think it's something like that, but I don't know if that's exactly the diff format. But you can certainly have formats that are much easier to express without messing up than others. And I like to think about how much human effort goes into designing human interfaces for things. It's incredible. This is entirely what FrontEnd is about, is creating better interfaces to kind of do the same things. And I think that same amount of attention and effort needs to go into creating agent computer interfaces.Swyx [00:27:19]: It's a topic we've discussed, ACI or whatever that looks like. I would also shout out that I think you released some of these toolings as part of computer use as well. And people really liked it. It's all open source if people want to check it out. I'm curious if there's an environment element that complements the tools. So how do you... Do you have a sandbox? Is it just Docker? Because that can be slow or resource intensive. Do you have anything else that you would recommend?Erik [00:27:47]: I don't think I can talk about sort of public details or about private details about how we implement our sandboxing. But obviously, we need to have sort of safe, secure, and fast sandboxes for training for the models to be able to practice writing code and working in an environment.Swyx [00:28:03]: I'm aware of a few startups working on agent sandboxing. E2B is a close friend of ours that Alessio has led around in, but also I think there's others where they're focusing on snapshotting memory so that it can do time travel for debugging. Computer use where you can control the mouse or keyboard or something like that. Whereas here, I think that the kinds of tools that we offer are very, very limited to coding agent work cases like bash, edit, you know, stuff like that. Yeah.Erik [00:28:30]: I think the computer use demo that we released is an extension of that. It has the same bash and edit tools, but it also has the computer tool that lets it get screenshots and move the mouse and keyboard. Yeah. So I definitely think there's sort of more general tools there. And again, the tools we released as part of SweetBench were, I'd say they're very specific for like editing files and doing bash, but at the same time, that's actually very general if you think about it. Like anything that you would do on a command line or like editing files, you can do with those tools. And so we do want those tools to feel like any sort of computer terminal work could be done with those same tools rather than making tools that were like very specific for SweetBench like run tests as its own tool, for instance. Yeah.Swyx [00:29:15]: You had a question about tests.Alessio [00:29:16]: Yeah, exactly. I saw there's no test writer tool. Is it because it generates the code and then you're running it against SweetBench anyway, so it doesn't really need to write the test or?Swyx [00:29:26]: Yeah.Erik [00:29:27]: So this is one of the interesting things about SweetBench is that the tests that the model's output is graded on are hidden from it. That's basically so that the model can't cheat by looking at the tests and writing the exact solution. And I'd say typically the model, the first thing it does is it usually writes a little script to reproduce the error. And again, most SweetBench tasks are like, hey, here's a bug that I found. I run this and I get this error. So the first thing the model does is try to reproduce that. So it's kind of been rerunning that script as a mini test. But yeah, sometimes the model will like accidentally introduce a bug that breaks some other tests and it doesn't know about that.Alessio [00:30:05]: And should we be redesigning any tools? We kind of talked about this and like having more examples, but I'm thinking even things of like Q as a query parameter in many APIs, it's like easier for the model to like re-query than read the Q. I'm sure it learned the Q by this point, but like, is there anything you've seen like building this where it's like, hey, if I were to redesign some CLI tools, some API tool, I would like change the way structure to make it better for LLMs?Erik [00:30:31]: I don't think I've thought enough about that off the top of my head, but certainly like just making everything more human friendly, like having like more detailed documentation and examples. I think examples are really good in things like descriptions, like so many, like just using the Linux command line, like how many times I do like dash dash help or look at the man page or something. It's like, just give me one example of like how I actually use this. Like I don't want to go read through a hundred flags. Just give me the most common example. But again, so you know, things that would be useful for a human, I think are also very useful for a model.Swyx [00:31:03]: Yeah. I mean, there's one thing that you cannot give to code agents that is useful for human is this access to the internet. I wonder how to design that in, because one of the issues that I also had with just the idea of a suite bench is that you can't do follow up questions. You can't like look around for similar implementations. These are all things that I do when I try to fix code and we don't do that. It's not, it wouldn't be fair, like it'd be too easy to cheat, but then also it's kind of not being fair to these agents because they're not operating in a real world situation. Like if I had a real world agent, of course I'm giving it access to the internet because I'm not trying to pass a benchmark. I don't have a question in there more, more just like, I feel like the most obvious tool access to the internet is not being used.Erik [00:31:47]: I think that that's really important for humans, but honestly the models have so much general knowledge from pre-training that it's, it's like less important for them. I feel like versioning, you know, if you're working on a newer thing that was like, they came after the knowledge cutoff, then yes, I think that's very important. I think actually this, this is like a broader problem that there is a divergence between Sweebench and like what customers will actually care about who are working on a coding agent for real use. And I think one of those there is like internet access and being able to like, how do you pull in outside information? I think another one is like, if you have a real coding agent, you don't want to have it start on a task and like spin its wheels for hours because you gave it a bad prompt. You want it to come back immediately and ask follow up questions and like really make sure it has a very detailed understanding of what to do, then go off for a few hours and do work. So I think that like real tasks are going to be much more interactive with the agent rather than this kind of like one shot system. And right now there's no benchmark that, that measures that. And maybe I think it'd be interesting to have some benchmark that is more interactive. I don't know if you're familiar with TauBench, but it's a, it's a customer service benchmark where there's basically one LLM that's playing the user or the customer that's getting support and another LLM that's playing the support agent and they interact and try to resolve the issue.Swyx [00:33:08]: Yeah. We talked to the LMSIS guys. Awesome. And they also did MTBench for people listening along. So maybe we need MTSWE-Bench. Sure. Yeah.Erik [00:33:16]: So maybe, you know, you could have something where like before the SWE-Bench task starts, you have like a few back and forths with kind of like the, the author who can answer follow up questions about what they want the task to do. And of course you'd need to do that where it doesn't cheat and like just get the exact, the exact thing out of the human or out of the sort of user. But I think that would be a really interesting thing to see. If you look at sort of existing agent work, like a Repl.it's coding agent, I think one of the really great UX things they do is like first having the agent create a plan and then having the human approve that plan or give feedback. I think for agents in general, like having a planning step at the beginning, one, just having that plan will improve performance on the downstream task just because it's kind of like a bigger chain of thought, but also it's just such a better UX. It's way easier for a human to iterate on a plan with a model rather than iterating on the full task that sort of has a much slower time through each loop. If the human has approved this implementation plan, I think it makes the end result a lot more sort of auditable and trustable. So I think there's a lot of things sort of outside of SweetBench that will be very important for real agent usage in the world. Yeah.Swyx [00:34:27]: I will say also, there's a couple of comments on names that you dropped. Copilot also does the plan stage before it writes code. I feel like those approaches have generally been less Twitter successful because it's not prompt to code, it's prompt plan code. You know, so there's a little bit of friction in there, but it's not much. Like it's, it actually, it's, it, you get a lot for what it's worth. I also like the way that Devin does it, where you can sort of edit the plan as it goes along. And then the other thing with Repl.it, we had a, we hosted a sort of dev day pregame with Repl.it and they also commented about multi-agents. So like having two agents kind of bounce off of each other. I think it's a similar approach to what you're talking about with kind of the few shot example, just as in the prompts of clarifying what the agent wants. But typically I think this would be implemented as a tool calling another agent, like a sub-agent I don't know if you explored that, do you like that idea?Erik [00:35:20]: I haven't explored this enough, but I've definitely heard of people having good success with this. Of almost like basically having a few different sort of personas of agents, even if they're all the same LLM. I think this is one thing with multi-agent that a lot of people will kind of get confused by is they think it has to be different models behind each thing. But really it's sort of usually the same, the same model with different prompts. And yet having one, having them have different personas to kind of bring different sort of thoughts and priorities to the table. I've seen that work very well and sort of create a much more thorough and thought outSwyx [00:35:53]: response.Erik [00:35:53]: I think the downside is just that it adds a lot of complexity and it adds a lot of extra tokens. So I think it depends what you care about. If you want a plan that's very thorough and detailed, I think it's great. If you want a really quick, just like write this function, you know, you probably don't want to do that and have like a bunch of different calls before it does this.Alessio [00:36:11]: And just talking about the prompt, why are XML tags so good in Cloud? I think initially people were like, oh, maybe you're just getting lucky with XML. But I saw obviously you use them in your own agent prompts, so they must work. And why is it so model specific to your family?Erik [00:36:26]: Yeah, I think that there's, again, I'm not sure how much I can say, but I think there's historical reasons that internally we've preferred XML. I think also the one broader thing I'll say is that if you look at certain kinds of outputs, there is overhead to outputting in JSON. If you're trying to output code in JSON, there's a lot of extra escaping that needs to be done, and that actually hurts model performance across the board. Versus if you're in just a single XML tag, there's none of that sort of escaping thatSwyx [00:36:58]: needs to happen.Erik [00:36:58]: That being said, I haven't tried having it write HTML and XML, which maybe then you start running into weird escaping things there. I'm not sure. But yeah, I'd say that's some historical reasons, and there's less overhead of escaping.Swyx [00:37:12]: I use XML in other models as well, and it's just a really nice way to make sure that the thing that ends is tied to the thing that starts. That's the only way to do code fences where you're pretty sure example one start, example one end, that is one cohesive unit.Alessio [00:37:30]: Because the braces are nondescriptive. Yeah, exactly.Swyx [00:37:33]: That would be my simple reason. XML is good for everyone, not just Cloud. Cloud was just the first one to popularize it, I think.Erik [00:37:39]: I do definitely prefer to read XML than read JSON.Alessio [00:37:43]: Any other details that are maybe underappreciated? I know, for example, you had the absolute paths versus relative. Any other fun nuggets?Erik [00:37:52]: I think that's a good sort of anecdote to mention about iterating on tools. Like I said, spend time prompt engineering your tools, and don't just write the prompt, but write the tool, and then actually give it to the model and read a bunch of transcripts about how the model tries to use the tool. I think by doing that, you will find areas where the model misunderstands a tool or makes mistakes, and then basically change the tool to make it foolproof. There's this Japanese term, pokayoke, about making tools mistake-proof. You know, the classic idea is you can have a plug that can fit either way, and that's dangerous, or you can make it asymmetric so that it can't fit this way, it has to go like this, and that's a better tool because you can't use it the wrong way. So for this example of absolute paths, one of the things that we saw while testing these tools is, oh, if the model has done CD and moved to a different directory, it would often get confused when trying to use the tool because it's now in a different directory, and so the paths aren't lining up. So we said, oh, well, let's just force the tool to always require an absolute path, and then that's easy for the model to understand. It knows sort of where it is. It knows where the files are. And then once we have it always giving absolute paths, it never messes up even, like, no matter where it is because it just, if you're using an absolute path, it doesn't matter whereSwyx [00:39:13]: you are.Erik [00:39:13]: So iterations like that, you know, let us make the tool foolproof for the model. I'd say there's other categories of things where we see, oh, if the model, you know, opens vim, like, you know, it's never going to return. And so the tool is stuck.Swyx [00:39:28]: Did it get stuck? Yeah. Get out of vim. What?Erik [00:39:31]: Well, because the tool is, like, it just text in, text out. It's not interactive. So it's not like the model doesn't know how to get out of vim. It's that the way that the tool is, like, hooked up to the computer is not interactive. Yes, I mean, there is the meme of no one knows how to get out of vim. You know, basically, we just added instructions in the tool of, like, hey, don't launch commands that don't return.Swyx [00:39:54]: Yeah, like, don't launch vim.Erik [00:39:55]: Don't launch whatever. If you do need to do something, you know, put an ampersand after it to launch it in the background. And so, like, just, you know, putting kind of instructions like that just right in the description for the tool really helps the model. And I think, like, that's an underutilized space of prompt engineering, where, like, people might try to do that in the overall prompt, but just put that in the tool itself so the model knows that it's, like, for this tool, this is what's relevant.Swyx [00:40:20]: You said you worked on the function calling and tool use before you actually started this vBench work, right? Was there any surprises? Because you basically went from creator of that API to user of that API. Any surprises or changes you would make now that you have extensively dog-fooded in a state-of-the-art agent?Erik [00:40:39]: I want us to make, like, maybe, like, a little bit less verbose SDK. I think some way, like, right now, it just takes, I think we sort of force people to do the best practices of writing out sort of these full JSON schemas, but it would be really nice if you could just pass in a Python function as a tool. I think that could be something nice.Swyx [00:40:58]: I think that there's a lot of, like, Python- There's helper libraries. ... structure, you know. I don't know if there's anyone else that is specializing for Anthropic. Maybe Jeremy Howard's and Simon Willis's stuff. They all have Cloud-specific stuff that they are working on. Cloudette. Cloudette, exactly. I also wanted to spend a little bit of time with SuiteAgent. It seems like a very general framework. Like, is there a reason you picked it apart from it's the same authors as vBench, or?Erik [00:41:21]: The main thing we wanted to go with was the same authors as vBench, so it just felt sort of like the safest, most neutral option. And it was, you know, very high quality. It was very easy to modify, to work with. I would say it also actually, their underlying framework is sort of this, it's like, youSwyx [00:41:39]: know, think, act, observe.Erik [00:41:40]: That they kind of go through this loop, which is like a little bit more hard-coded than what we wanted to do, but it's still very close. That's still very general. So it felt like a good match as sort of the starting point for our agent. And we had already sort of worked with and talked with the SWE-Bench people directly, so it felt nice to just have, you know, we already know the authors. This will be easy to work with.Swyx [00:42:00]: I'll share a little bit of like, this all seems disconnected, but once you figure out the people and where they go to school, it all makes sense. So it's all Princeton. Yeah, the SWE-Bench and SuiteAgent.Erik [00:42:11]: It's a group out of Princeton.Swyx [00:42:12]: Yeah, and we had Shun Yu on the pod, and he came up with the React paradigm, and that's think, act, observe. That's all React. So they're all friends. Yep, yeah, exactly.Erik [00:42:22]: And you know, if you actually read our traces of our submission, you can actually see like think, act, observe in our logs. And we just didn't even change the printing code. So it's like doing still function calls under the hood, and the model can do sort of multiple function calls in a row without thinking in between if it wants to. But yeah, so a lot of similarities and a lot of things we inherited from SuiteAgent just as a starting point for the framework.Alessio [00:42:47]: Any thoughts about other agent frameworks? I think there's, you know, the whole gamut from very simple to like very complex.Swyx [00:42:53]: Autogen, CooEI, LandGraph. Yeah, yeah.Erik [00:42:56]: I think I haven't explored a lot of them in detail. I would say with agent frameworks in general, they can certainly save you some like boilerplate. But I think there's actually this like downside of making agents too easy, where you end up very quickly like building a much more complex system than you need. And suddenly, you know, instead of having one prompt, you have five agents that are talking to each other and doing a dialogue. And it's like, because the framework made that 10 lines to do, you end up building something that's way too complex. So I think I would actually caution people to like try to start without these frameworks if you can, because you'll be closer to the raw prompts and be able to sort of directly understand what's going on. I think a lot of times these frameworks also, by trying to make everything feel really magical, you end up sort of really hiding what the actual prompt and output of the model is, and that can make it much harder to debug. So certainly these things have a place, and I think they do really help at getting rid of boilerplate, but they come with this cost of obfuscating what's really happening and making it too easy to very quickly add a lot of complexity. So yeah, I would recommend people to like try it from scratch, and it's like not that bad.Alessio [00:44:08]: Would you rather have like a framework of tools? Do you almost see like, hey, it's maybe easier to get tools that are already well curated, like the ones that you build, if I had an easy way to get the best tool from you, andSwyx [00:44:21]: like you maintain the definition?Alessio [00:44:22]: Or yeah, any thoughts on how you want to formalize tool sharing?Erik [00:44:26]: Yeah, I think that's something that we're certainly interested in exploring, and I think there is space for sort of these general tools that will be very broadly applicable. But at the same time, most people that are building on these, they do have much more specific things that they're trying to do. You know, I think that might be useful for hobbyists and demos, but the ultimate end applications are going to be bespoke. And so we just want to make sure that the model's great at any tool that it uses. But certainly something we're exploring.Alessio [00:44:52]: So everything bespoke, no frameworks, no anything.Swyx [00:44:55]: Just for now, for now.Erik [00:44:56]: Yeah, I would say that like the best thing I've seen is people building up from like, build some good util functions, and then you can use those as building blocks. Yeah, yeah.Alessio [00:45:05]: I have a utils folder, or like all these scripts. My framework is like def, call, and tropic. And then I just put all the defaults.Swyx [00:45:12]: Yeah, exactly. There's a startup hidden in every utils folder, you know? No, totally not. Like, if you use it enough, like it's a startup, you know? At some point. I'm kind of curious, is there a maximum length of turns that it took? Like, what was the longest run? I actually don't.Erik [00:45:27]: I mean, it had basically infinite turns until it ran into a 200k context. I should have looked this up. I don't know. And so for some of those failed cases where it eventually ran out of context, I mean, it was over 100 turns. I'm trying to remember like the longest successful run, but I think it was definitely over 100 turns that some of the times.Swyx [00:45:48]: Which is not that much. It's a coffee break. Yeah.Erik [00:45:52]: But certainly, you know, these things can be a lot of turns. And I think that's because some of these things are really hard, where it's going to take, you know, many tries to do it. And if you think about like, think about a task that takes a human four hours to do. Think about how many different files you read, and like times you edit a file in four hours. That's a lot more than 100.Alessio [00:46:10]: How many times you open Twitter because you get distracted. But if you had a lot more compute, what's kind of like the return on the extra compute now? So like, you know, if you had thousands of turns or like whatever, like how much better would it get?Erik [00:46:23]: Yeah, this I don't know. And I think this is, I think sort of one of the open areas of research in general with agents is memory and sort of how do you have something that can do work beyond its context length where you're just purely appending. So you mentioned earlier things like pruning bad paths. I think there's a lot of interesting work around there. Can you just roll back but summarize, hey, don't go down this path? There be dragons. Yeah, I think that's very interesting that you could have something that that uses way more tokens without ever using at a time more than 200k. So I think that's very interesting. I think the biggest thing is like, can you make the model sort of losslessly summarize what it's learned from trying different approaches and bring things back? I think that's sort of the big challenge.Swyx [00:47:11]: What about different models?Alessio [00:47:12]: So you have Haiku, which is like, you know, cheaper. So you're like, well, what if I have a Haiku to do a lot of these smaller things and then put it back up?Erik [00:47:20]: I think Cursor might have said that they actually have a separate model for file editing.Swyx [00:47:25]: I'm trying to remember.Erik [00:47:25]: I think they were on maybe the Lex Fridman podcast where they said they have a bigger model, like write what the code should be and then a different model, like apply it. So I think there's a lot of interesting room for stuff like that. Yeah, fast supply.Swyx [00:47:37]: We actually did a pod with Fireworks that they worked with on. It's speculative decoding.Erik [00:47:41]: But I think there's also really interesting things about like, you know, paring down input tokens as well, especially sometimes the models trying to read like a 10,000 line file. That's a lot of tokens. And most of it is actually not going to be relevant. I think it'd be really interesting to like delegate that to Haiku. Haiku read this file and just pull out the most relevant functions. And then, you know, Sonnet reads just those and you save 90% on tokens. I think there's a lot of really interesting room for things like that. And again, we were just trying to do sort of the simplest, most minimal thing and show that it works. I'm really hoping that people, sort of the agent community builds things like that on top of our models. That's, again, why we released these tools. We're not going to go and do lots more submissions to SWE-Bench and try to prompt engineer this and build a bigger system. We want people to like the ecosystem to do that on top of our models. But yeah, so I think that's a really interesting one.Swyx [00:48:32]: It turns out, I think you did do 3.5 Haiku with your tools and it scored a 40.6. Yes.Erik [00:48:38]: So it did very well. It itself is actually very smart, which is great. But we haven't done any experiments with this combination of the two models. But yeah, I think that's one of the exciting things is that how well Haiku 3.5 did on SWE-Bench shows that sort of even our smallest, fastest model is very good at sort of thinking agentically and working on hard problems. Like it's not just sort of for writing simple text anymore.Alessio [00:49:02]: And I know you're not going to talk about it, but like Sonnet is not even supposed to be the best model, you know? Like Opus, it's kind of like we left it at three back in the corner intro. At some point, I'm sure the new Opus will come out. And if you had Opus Plus on it, that sounds very, very good.Swyx [00:49:19]: There's a run with SuiteAgent plus Opus, but that's the official SWE-Bench guys doing it.Erik [00:49:24]: That was the older, you know, 3.0.Swyx [00:49:25]: You didn't do yours. Yeah. Okay. Did you want to? I mean, you could just change the model name.Erik [00:49:31]: I think we didn't submit it, but I think we included it in our model card.Swyx [00:49:35]: Okay.Erik [00:49:35]: We included the score as a comparison. Yeah.Swyx [00:49:38]: Yeah.Erik [00:49:38]: And Sonnet and Haiku, actually, I think the new ones, they both outperformed the original Opus. Yeah. I did see that.Swyx [00:49:44]: Yeah. It's a little bit hard to find. Yeah.Erik [00:49:47]: It's not an exciting score, so we didn't feel like they need to submit it to the benchmark.Swyx [00:49:52]: We can cut over to computer use if we're okay with moving on to topics on this, if anything else. I think we're good.Erik [00:49:58]: I'm trying to think if there's anything else SWE-Bench related.Swyx [00:50:02]: It doesn't have to be also just specifically SWE-Bench, but just your thoughts on building agents, because you are one of the few people that have reached this leaderboard on building a coding agent. This is the state of the art. It's surprisingly not that hard to reach with some good principles. Right. There's obviously a ton of low-hanging fruit that we covered. Your thoughts on if you were to build a coding agent startup, what next?Erik [00:50:24]: I think the really interesting question for me, for all the startups out there, is this kind of divergence between the benchmarks and what real customers will want. So I'm curious, maybe the next time you have a coding agent startup on the podcast, you should ask them that. What are the differences that they're starting to make? Tomorrow.Swyx [00:50:40]: Oh, perfect, perfect. Yeah.Erik [00:50:41]: I'm actually very curious what they will see, because I also have seen, I feel like it's slowed down a little bit if I don't see the startups submitting to SWE-Bench that much anymore.Swyx [00:50:52]: Because of the traces, the trace. So we had Cosign on, they had a 50-something on full, on SWE-Bench full, which is the hardest one, and they were rejected because they didn't want to submit their traces. Yep. IP, you know? Yeah, that makes sense, that makes sense. Actually, tomorrow we're talking to Bolt, which is a cloud customer. You guys actually published a case study with them. I assume you weren't involved with that, but they were very happy with Cloud. Cool. One of the biggest launches of the year. Yeah, totally. We actually happened to b

In the opening episode of Season 4, I am joined by Thomas Berger to explore how Citrix's integration with Microsoft Windows 365 enhances the experience. We dive into Windows 365 features, licensing, performance optimizations, security features, and future integration enhancements coming from Citrix. 

Exploit attempts for unpatched Citrix vulnerability CVE-2024-8068/CVE-2024-8069 https://isc.sans.edu/diary/Exploit+attempts+for+unpatched+Citrix+vulnerability/31446 https://support.citrix.com/s/article/CTX691941-citrix-session-recording-security-bulletin-for-cve20248068-and-cve20248069?language=en_US Microsoft Power Pages: Data Exposure Reviewed https://appomni.com/ao-labs/microsoft-power-pages-data-exposure-reviewed/ Zohocorp ManageEngine ADAudit Plus Vulnerable To SQL Injection Attacks CVE-2024-49574 https://www.manageengine.com/products/active-directory-audit/cve-2024-49574.html

Episode 358 of The VentureFizz Podcast features Simon Taylor, Founder & CEO of HYCU. One of the things that I love about this podcast is hearing the stories of entrepreneurs and the ambitious moves they make to build their companies. For example, last week's interview with Brian Liu was a great example where he and his Co-Founder cold called and got the most recognizable lawyer on the planet - that being Robert Shapiro - involved with LegalZoom in the early days of the company. Simon's story is also legendary. At the point of having an MVP, they wanted to partner with a fast growing company called Nutanix. He flew out to the company's offices in California and unannounced, he asked to speak to the CEO. After pitching his company and convincing team members during that initial unannounced call, the CEO did finally sit with him and after building a backup solution for Nutanix, a partnership was established and they were off and running. HYCU is a leader in the multi-cloud and SaaS data protection as a service industry. The company has raised $140M in VC funding to date. In this podcast, we cover: * A discussion around leveraging a partnership model for a company's GTM strategy and how to build it with the right mindset and approach. * Simon's background story, including receiving a signed book from legendary computer entrepreneur An Wang, the founder of Wang Laboratories, when his family moved to the U.S. * Starting his career in cubicle jobs and how he learned the importance of rigor like his experience as a 401K rep answering phones and how it helped shape him as an entrepreneur. * Building his first company in Prague, an IT outsourcing company which was acquired by Comtrade and then his next company, a monitoring tools company that was acquired by Citrix. * The full lifecycle story of HYCU and all the details about their platform. * The benefits of raising capital from corporate VCs. * And so much more. Episode Sponsor: As a longtime champion of the local startup ecosystem, Silicon Valley Bank supports innovative companies with the solutions and financing they need through every stage of growth. With more than 1,500 bankers and relationship advisors, and $42B in loans as of Q2 2024 – SVB delivers the right people, service and resources to support your entire financial journey. Learn more at SVB.com.

Episode 234 FACULTY: Matt Kidd, CPA CLASS: #Shoperations In this throwback to Sons of CPAs, Scotty chats it up with Matt about his two CPA brothers, diving into how they each built successful practices, inspired by their CPA father. They talk about managing and transitioning CPA firms, incorporating wealth management, modernizing traditional practices, tax season, and client relationships. Tune in for a comprehensive view on growing a client-centric, million-dollar CPA practice, with insights on practical strategies and overcoming challenges in the accounting profession.

Send us a textTheoretically, having a full view of a patient's medical records could lead to more personalized treatment, stronger data security, and new research breakthroughs.But in practice? That's a tall order.Could AI be the solution?In this episode of HealthBiz Briefs, Bo Holland, Founder and CEO of All Clear ID, talks about the risks patients face with medical record security and the critical task of helping patients easily navigate and control their health data.This episode is brought to you by BetterHelp. Give online therapy a try at https://betterhelp.com/caretalk and get on your way to being your best self.As a BetterHelp affiliate, we may receive compensation from BetterHelp if you purchase products or services through the links provided.

This episode was recorded live at Security Field Day (XFD) 12 in October, 2024. As delegates at the event, JJ and Drew heard presentations from DigiCert, Dell Technologies, SonicWall, and Citrix. These presentations covered topics including digital certificate management, post-quantum cryptography, supply chain security, recovering from ransomware, Zero Trust Network Access (ZTNA), and Secure Service... Read more »

This episode was recorded live at Security Field Day (XFD) 12 in October, 2024. As delegates at the event, JJ and Drew heard presentations from DigiCert, Dell Technologies, SonicWall, and Citrix. These presentations covered topics including digital certificate management, post-quantum cryptography, supply chain security, recovering from ransomware, Zero Trust Network Access (ZTNA), and Secure Service... Read more »

Send us a textReady to elevate your cybersecurity acumen and conquer the CISSP exam? Tune in to our latest episode, where we unravel the intricacies of a significant ransomware attack that exploited a supply chain vulnerability, impacting 60 US credit unions via the Citrix bleed vulnerability. This real-world scenario stresses the necessity of securing third-party relationships and maintaining a robust security posture. We shift gears to dissect Domain 7.5 of the CISSP, offering insights into effective resource management and safeguarding a variety of media within an organization. From defining stringent policies for handling CDs, DVDs, USBs, and mobile phones to deploying physical security measures, we cover it all to ensure data integrity.Our journey continues into the world of tape backup security and management, often considered a last-resort data storage solution. We spotlight the importance of implementing check-in/check-out policies and using climate-controlled environments, such as salt mines, to preserve these backups. Secure transport is another key focus, with encryption and regular inspections recommended to safeguard your data. As we navigate the lifecycle of different media types, from acquisition to disposal, you'll learn about tailored security measures for each stage. We wrap up this segment by stressing compliant disposal methods, where professional shredding services take center stage to guarantee data destruction.Finally, we pivot to exploring the critical aspects of data disposal and hardware reliability. Discover why shredding is preferred over degaussing, particularly for SSDs, and the importance of comprehensive staff training to avert data leaks during site closures. We delve into the metrics of Mean Time to Failure (MTTF) and Mean Time Between Failures (MTBF), essential for planning hardware reliability and lifecycle management. These metrics are not just numbers; they play a pivotal role in risk management and business continuity planning. As we prepare you for success, stay tuned for our upcoming episode, where CISSP exam questions take the spotlight, and hear a success story that illustrates the power of commitment and the right resources.Gain access to 60 FREE CISSP Practice Questions each and every month for the next 6 months by going to FreeCISSPQuestions.com and sign-up to join the team for Free. That is 360 FREE questions to help you study and pass the CISSP Certification. Join Today!

In this insightful episode of Gratitude Through Hard Times, host Chris Schembra welcomes Mitch Warner, Managing Partner at The Arbinger Institute and co-author of Leadership and Self-Deception. Mitch guides us through the core principles of Arbinger's groundbreaking work, exploring the central idea of self-deception—a psychological barrier that prevents individuals from seeing others clearly and, ultimately, impedes personal and organizational growth.Mitch introduces the concept of self-deception as the tendency to see ourselves inaccurately, often with a biased or distorted lens, which leads us to misjudge others as obstacles or tools rather than as people with legitimate needs and perspectives. This inward mindset results from what Arbinger terms self-betrayal, a failure to act on our internal sense of how we should treat others. Mitch emphasizes that self-deception is not just a personal issue but a core problem in organizations, affecting everything from team collaboration to leadership effectiveness. He explains how leaders unwittingly create and sustain the very conflicts they seek to resolve by failing to see their own role in the challenges they face.The discussion shifts to Arbinger's proposed solution: shifting from an inward mindset to an outward mindset. Mitch explains that an inward mindset centers on self-justification, blame, and defensiveness, where others are seen merely as obstacles or means to achieve personal goals. By contrast, an outward mindset recognizes others as individuals with needs, goals, and aspirations as real as our own. Mitch discusses how adopting an outward mindset can transform workplaces, leading to stronger relationships, better communication, higher accountability, and improved results.One of the most powerful concepts discussed is the idea of collusion—a cycle of conflict where two or more people reinforce each other's negative behaviors. Mitch describes how this dynamic is fueled by self-deception, as individuals are more focused on defending their own views than understanding others' perspectives. Collusion often manifests as blame, resentment, and resistance, creating silos and perpetuating dysfunction in teams. Mitch explains that breaking the cycle of collusion requires leaders to first recognize their own part in the conflict, shifting their focus from changing others to changing themselves.Mitch also offers insights into the updated 4th edition of Leadership and Self-Deception, which features modernized examples, diverse characters, and new scenarios that address contemporary workplace challenges. The new edition incorporates practical tools and study guides to help readers apply Arbinger's principles in both personal and professional contexts. Mitch outlines some of these tools, such as identifying moments of self-betrayal, practicing active curiosity about others, and implementing feedback loops that promote transparency and accountability.The episode concludes with a discussion of why these concepts are particularly relevant today. Mitch emphasizes that in a world marked by uncertainty, division, and rapid change, the ability to see others clearly and adopt an outward mindset is more urgent than ever. He explains how leaders who embrace these principles can create workplaces that are more inclusive, resilient, and adaptable. By fostering cultures where people are genuinely seen and valued, organizations can enhance performance, improve retention, and unlock greater potential at every level.Why You Should Listen:If you're a leader, manager, or someone interested in personal development, this episode offers a practical framework for understanding how mindset shapes behavior, relationships, and organizational outcomes. Mitch Warner presents Arbinger's concepts with clarity, making complex psychological principles accessible and actionable. Whether you're facing communication breakdowns, conflict, or disengagement within your team, the concepts of self-deception, collusion, and outward mindset will provide you with new ways to diagnose and address root problems. By applying these principles, you can transform not only your leadership but also your everyday interactions, creating deeper connections and achieving sustainable results. Key Discussion Points:Self-Deception as a Barrier to Leadership.The Inward vs. Outward Mindset.Collusion: A Cycle of Blame and Justification.Self-Betrayal as the Root of Dysfunction.Practical Tools for Mindset Shift. Notable Quotes:“Self-deception isn't about the other person—it's about us and the stories we create to justify our behavior.” — Mitch Warner“To change others, leaders must first change themselves. It starts by seeing our own contributions to the problems we face.” — Mitch Warner“When leaders have the courage to recognize how they contribute to problems, they open the door to transformational change—not just for themselves, but for their entire organizations.” — Mitch Warner“Imagine a workplace where no one has an image to protect—where people are fully open to feedback and focused solely on the mission.” — Mitch Warner“We often create the very conflicts we seek to resolve by failing to see others clearly and acting from a place of self-deception.” — Mitch Warner“Gratitude is one of the tools that can shift us from an inward to an outward mindset, helping us to acknowledge the humanity and value of others.” — Chris Schembra Action Items:Subscribe: If this conversation resonated with you, don't forget to subscribe for more heart-centered discussions on leadership, empathy, and gratitude.Share: Send this episode to someone who could use inspiration and a reminder to practice gratitude.Reflect: Who in your life deserves a thank you? Take a moment today to reach out and express your gratitude. ABOUT OUR GUEST:Mitch Warner is a bestselling author and Arbinger managing partner with a background in healthcare and organizational turnaround. Mitch is the co-author of Arbinger's latest bestseller, The Outward Mindset. He writes frequently on the practical effects of mindset at the individual and organizational levels as well as the role of leadership in transforming organizational culture and results. He is an expert on mindset and culture change, leadership, strategy, performance management, organizational turnaround, and conflict resolution. Mitch is a sought-after speaker to organizations across a range of industries, bringing his practical experience to bear for leaders of corporations, governments, and organizations across the globe. Specific clients include NASA, Citrix, Aflac, the U.S. Army and Air Force, the Treasury Executive Institute, and Intermountain Healthcare. Mitch carries his first-hand perspective as a proven leader into his speeches and facilitation, dynamically bringing Arbinger's concepts and tools to life through his powerful stories and hands-on experience. His audiences leave inspired to improve and equipped with a practical roadmap to effect immediate change. In his role as managing partner, Mitch directs the development of Arbinger's intellectual property, training and consulting programs, and highly customized largescale organizational change initiatives. He has been instrumental in Arbinger's rapid growth, including its expanding international presence in nearly 30 countries. Mitch received his B.A. in philosophy and is a licensed nursing administrator. Trained in fine art at the Art Students League and the National Academy, he spends much of his free time painting. His work hangs in organizations nationwide. FOLLOW MITCH:Leadership and Self-Deception (4th Edition):Amazon LinkThe Arbinger Institute:WebsiteFollow Mitch Warner on LinkedIn:LinkedIn ProfileFollow the Arbinger Institute on Twitter:@ArbingerInst ABOUT OUR HOST:Chris Schembra is the Wall Street Journal bestselling author of Gratitude Through Hard Times and Gratitude and Pasta. USA Today calls him their "Gratitude Guru", he's a Founding Member of Rolling Stone Magazine's Culture Council, and he sits on the Executive Board at Fast Company Magazine.He is the Founder and Chief Question Asker of the 7:47 Gratitude Experience™ — an evidence-based framework used to strengthen client and team relationships in profound ways. He's used the principles of gratitude to spark thousands of relationships within the workplace. FOLLOW CHRIS:**WEBSITE |INSTAGRAM |LINKEDIN |BOOKS**

Welcome to an interview with Mitch Warner, a bestselling author and Arbinger managing partner.    In this episode, we dive deep into the critical topic of self-deception and its profound impact on leadership and personal effectiveness. Mitch shares powerful insights on how self-deception can undermine our relationships and professional success, often without us even realizing it. He explains the concept of self-betrayal and how it leads to a distorted view of ourselves and others, creating unnecessary conflicts and reducing our influence as leaders. Mitch shares a valuable advice on how to rebuild trust in relationships damaged by self-deception and how to not let it happen again.   Mitch is the co-author of Arbinger's latest bestseller, The Outward Mindset. He writes frequently on the practical effects of mindset at the individual and organizational levels as well as the role of leadership in transforming organizational culture and results. He is an expert on mindset and culture change, leadership, strategy, performance management, organizational turnaround, and conflict resolution.    Mitch is a sought-after speaker to organizations across a range of industries, bringing his practical experience to bear for leaders of corporations, governments, and organizations across the globe. Specific clients include NASA, Citrix, Aflac, the U.S. Army and Air Force, the Treasury Executive Institute, and Intermountain Healthcare. Mitch carries his first-hand perspective as a proven leader into his speeches and facilitation, dynamically bringing Arbinger's concepts and tools to life through his powerful stories and hands-on experience. His audiences leave inspired to improve and equipped with a practical roadmap to effect immediate change.    In his role as managing partner, Mitch directs the development of Arbinger's intellectual property, training and consulting programs, and highly customized large-scale organizational change initiatives. He has been instrumental in Arbinger's rapid growth, including its expanding international presence in nearly 30 countries.    Mitch received his B.A. in philosophy and is a licensed nursing administrator. Trained in fine art at the Art Students League and the National Academy, he spends much of his free time painting. His work hangs in organizations nationwide.   Visit Arbinger Institute here: https://arbinger.com/   Here are some free gifts for you: Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach   McKinsey & BCG winning resume free download: www.firmsconsulting.com/resumepdf   Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

Mitch Warner reveals how we end up sabotaging ourselves and how you can overcome these obstacles to strengthen relationships and your leadership as a whole. — YOU'LL LEARN — 1) How “the box” limits your perspective and opportunities 2) The tell-tale signs self-deception 3) How to make people feel safe to share their perspectives Subscribe or visit AwesomeAtYourJob.com/ep1001 for clickable versions of the links below. — ABOUT MITCH — Mitch Warner is a bestselling author and Arbinger managing partner with a background in healthcare and organizational turnaround. Mitch is the co-author of Arbinger's latest bestseller, The Outward Mindset. He writes frequently on the practical effects of mindset at the individual and organizational levels as well as the role of leadership in transforming organizational culture and results. He is an expert on mindset and culture change, leadership, strategy, performance management, organizational turnaround, and conflict resolution.Mitch is a sought-after speaker to organizations across a range of industries, bringing his practical experience to bear for leaders of corporations, governments, and organizations across the globe. Specific clients include NASA, Citrix, Aflac, the U.S. Army and Air Force, the Treasury Executive Institute, and Intermountain Healthcare. Mitch carries his first-hand perspective as a proven leader into his speeches and facilitation, dynamically bringing Arbinger's concepts and tools to life through his powerful stories and hands-on experience. His audiences leave inspired to improve and equipped with a practical roadmap to effect immediate change.• Book: Leadership and Self-Deception, Fourth Edition: The Secret to Transforming Relationships and Unleashing Results by The Arbinger Institute • Website: Arbinger.com — RESOURCES MENTIONED IN THE SHOW — • Book: Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration by Ed Catmull and Amy Wallace • Book: Insanely Simple: The Obsession That Drives Apple's Success by Ken Segall — THANK YOU SPONSORS! — • Jenni Kayne. Use the code AWESOME15 to get 15% off your order!• LinkedIn Jobs. Post your job for free at LinkedIn.com/BeAwesomeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of The Citrix Session (Episode 170), host Bill Sutton is joined by Andy Whiteside, CEO of XenTegra, Citrix experts Jeremy Myers and Todd Smith, to discuss the exciting new capabilities of Citrix Virtual Delivery Agent (VDA) for macOS. Dive into how this game-changing feature enables Mac environments to be remotely accessed with the same efficiency as other platforms, perfect for developers, video professionals, and education institutions.Tune in to learn:How Citrix VDA for macOS brings Macs into the fold of remote desktop solutionsKey use cases, including developer environments, multimedia professionals, and educationIntegration with platforms like MacStadium and Amazon EC2 Mac instancesLicensing models and platform compatibilityHow this innovation highlights Citrix's continued investment in cutting-edge technologyExplore how Citrix is meeting customer demands while setting the standard for the future of remote access!

Apple @ Work is exclusively brought to you by Mosyle, the only Apple Unified Platform. Mosyle is the only solution that integrates in a single professional-grade platform all the solutions necessary to seamlessly and automatically deploy, manage & protect Apple devices at work. Over 45,000 organizations trust Mosyle to make millions of Apple devices work-ready with no effort and at an affordable cost. Request your EXTENDED TRIAL today and understand why Mosyle is everything you need to work with Apple. In this episode of Apple @ Work, I talk with Chris Chapman from MacStadium about their recent announcements around Citrix and free macOS virtualization. Show Notes MacStadium Enhances Citrix Virtual Delivery Agent for macOS Support MacStadium Unveils Orka Desktop 3.0: Free, Enterprise-grade macOS Virtualization Tool for macOS Technologists Connect with Bradley Twitter LinkedIn Listen and subscribe Apple Podcasts Overcast Spotify Pocket Casts Castro RSS Listen to Past Episodes

Welcome to Strategy Skills episode 489, featuring an interview with Mitch Warner, a bestselling author and Arbinger managing partner.    In this episode, we dive deep into the critical topic of self-deception and its profound impact on leadership and personal effectiveness. Mitch shares powerful insights on how self-deception can undermine our relationships and professional success, often without us even realizing it. He explains the concept of self-betrayal and how it leads to a distorted view of ourselves and others, creating unnecessary conflicts and reducing our influence as leaders. Mitch shares a valuable advice on how to rebuild trust in relationships damaged by self-deception and how to not let it happen again.   Mitch is the co-author of Arbinger's latest bestseller, The Outward Mindset. He writes frequently on the practical effects of mindset at the individual and organizational levels as well as the role of leadership in transforming organizational culture and results. He is an expert on mindset and culture change, leadership, strategy, performance management, organizational turnaround, and conflict resolution.    Mitch is a sought-after speaker to organizations across a range of industries, bringing his practical experience to bear for leaders of corporations, governments, and organizations across the globe. Specific clients include NASA, Citrix, Aflac, the U.S. Army and Air Force, the Treasury Executive Institute, and Intermountain Healthcare. Mitch carries his first-hand perspective as a proven leader into his speeches and facilitation, dynamically bringing Arbinger's concepts and tools to life through his powerful stories and hands-on experience. His audiences leave inspired to improve and equipped with a practical roadmap to effect immediate change.    In his role as managing partner, Mitch directs the development of Arbinger's intellectual property, training and consulting programs, and highly customized large-scale organizational change initiatives. He has been instrumental in Arbinger's rapid growth, including its expanding international presence in nearly 30 countries.    Mitch received his B.A. in philosophy and is a licensed nursing administrator. Trained in fine art at the Art Students League and the National Academy, he spends much of his free time painting. His work hangs in organizations nationwide.   Visit Arbinger Institute here: https://arbinger.com/   Here are some free gifts for you: Overall Approach Used in Well-Managed Strategy Studies free download: www.firmsconsulting.com/OverallApproach   McKinsey & BCG winning resume free download: www.firmsconsulting.com/resumepdf   Enjoying this episode? Get access to sample advanced training episodes here: www.firmsconsulting.com/promo

In this episode of The Citrix Session, Bill Sutton, Andy Whiteside, and the team delve into the exciting integration between Citrix DaaS and Amazon Workspaces Core. Discover how this powerful combination simplifies virtual desktop delivery, enables the use of Microsoft 365 applications, and leverages Citrix's HDX protocol for optimized user experiences. From cost-effective deployment options to automation via Terraform, the team discusses how Citrix and AWS are better together in revolutionizing cloud-based VDI solutions. Tune in to explore the latest in virtual desktop innovation!

Episode 227 FACULTY: Mike Meilinger, CPA CLASS: #Shoperations In this episode, join us as we dive into an inspiring conversation with Mike Meilinger, a seasoned CPA and business coach who has transformed not only his accounting firm but also his health. Mike shares his incredible physical transformation and adopting extreme fitness regimes like 75 Hard. Gain valuable insights on balancing business success with personal health, the importance of emotional well-being, and why investing in discomfort can lead to growth in all aspects of life.

Guest: Lisa Dennis        Guest Bio:  Lisa Dennis is a global marketing and sales strategist and consultant. She brings over thirty years of marketing and sales experience to her work with business-to-business clients. She founded the consulting firm, Knowledgence Associates, in 1997 with a core focus of helping sales and marketing teams “see the world through their customers' eyes™." In 2021, Lisa launched a monthly online show, The Messaging Workshop LIVE on The Sales Expert Channel hosted by BrightTALK.   She has worked with companies across a broad range of industries (specialty in high technology, healthcare, insurance, manufacturing, and professional services) including Akamai, Citrix, CSC (now DXC Technology), Dell, FedEx, HP, Hitachi, IBM, Microsoft, Mutual of Omaha, Tufts Health Plan, Verizon, Wipro, and many others.     Guest Links: Value Propositions That Sell   Key Points: Lisa's Books "Value Propositions That Sell: Turning Your Message Into A Magnet That Attracts Buyers" Upcoming: "Do You Speak Buyer? An Integrated Messaging Playbook for Marketing and Sales" (2025)   Career Journey Initial interest in value propositions stemmed from her experience as a product manager for an unpopular product. Influenced by Jill Conrath, who encouraged her to focus on value propositions.   Understanding Value Propositions Common Definition: A statement about what a product/service offers and how it differs from competitors. Lisa's Definition: A buyer-focused statement that demonstrates understanding of the buyer's goals, challenges, and how the solution meets those needs.   Process for Creating Value Propositions 1.     Research and Segmentation: Understand different target audiences; avoid a one-size-fits-all approach. 2.     Two-Page Template: ·       First Page: Value proposition statement outlining customer pains, target audience, and offer. ·       Second Page: Detailed value drivers and proof points to support the messaging.   Emphasizing Buyer-Centric Messaging Use buyer language rather than jargon Focus on emotional context: what challenges buyers face and their aspirations. Conduct interviews with customers to capture their language and sentiments.   Common Mistakes Inwardly-focused value propositions that prioritize company over buyer needs. Using technical jargon that may alienate prospects. Failing to differentiate messages for varied target audiences.   Effective Messaging Techniques Start with the buyer's perspective, using language and issues they relate to. Develop messaging frameworks that allow for customization without starting from scratch.       About Salesology®: Conversations with Sales Leaders Download your free gift, The Salesology® Vault. The vault is packed full of free gifts from sales leaders, sales experts, marketing gurus and revenue generation experts.  Download your free gift, 81 Tools to Grow Your Sales & Your Business Faster, More Easily & More Profitably. Save hours of work tracking down the right prospecting and sales resources and/or digital tools that every business owner and salesperson needs. If you are a business owner or sales manager with an underperforming sales team, let's talk. Click here to schedule a time. Please, subscribe to Salesology®: Conversations with Sales Leaders so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! To learn more about our previous guests, listen to past episodes, and get to know your host, go to https://podcast.gosalesology.com/ and connect on LinkedIn and follow us on Facebook and Twitter and check out our website at  http://www.gosalesology.

Fortinet reveals a data breach. The feds sanction a Cambodian senator for forced labor scams. UK police arrest a teen linked to the Transport for London cyberattack. New Linux malware targets Oracle WebLogic. Citrix patches critical Workspace app flaws. Microsoft unveils updates to prevent outages like the CrowdStrike incident. U.S. Space Systems invests in secure communications. Illegal gun-conversion sites get taken down. Tim Starks of CyberScoop tracks Russian hackers mimicking spyware vendors. Cybersecurity hiring gaps persist. Hackers use eye-tracking to steal passwords. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today, we welcome back Tim Starks, senior reporter from CyberScoop, to discuss “Google: apparent Russian hackers play copycat to commercial spyware vendors.” You can read the article Tim refers to here.  Selected Reading Fortinet Data Breach: What We Know So Far (SOCRadar) Cambodian senator sanctioned by US over cyber-scams (The Register) UK NCA arrested a teenager linked to the attack on Transport for London (Security Affairs) New 'Hadooken' Linux Malware Targets WebLogic Servers (SecurityWeek) Citrix Workspace App Vulnerabilities Allow Privilege Escalation Attacks (Cyber Security News) Microsoft Vows to Prevent Future CrowdStrike-Like Outages (Infosecurity Magazine) Space Systems Command Awards $188M Contract for meshONE-T Follow-on (Space Systems Command) Domains seized for allegedly importing Chinese gun switches (The Register) Why Breaking into Cybersecurity Isn't as Easy as You Think (Security Boulevard) Apple Vision Pro's Eye Tracking Exposed What People Type (WIRED) Share your feedback. We want to ensure that you are getting the most out of the podcast. Please take a few minutes to share your thoughts with us by completing our brief listener survey as we continually work to improve the show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of The Citrix Session, episode 168, host Bill Sutton from XenTegra is joined by Citrix experts Geremy Myers and Todd Smith for an engaging discussion on the latest updates and insights into Citrix solutions. Andy Whiteside also joins in, sharing his humorous take on recent Citrix topics and providing a lighthearted but informative atmosphere.Key highlights of the episode include:The latest Citrix updates that IT professionals need to know.Deep dives into provisioning services and their real-world applications.Expert tips on optimizing Citrix environments for better performance.Whether you're a seasoned Citrix user or new to the platform, this episode offers valuable perspectives and actionable takeaways to enhance your Citrix experience.Don't miss out on the practical insights shared by these industry leaders!

Ransomware may not be on your machines due to your negligence or mistakes. It could be there because of third-party software you are utilizing. Do you know what to do if this happens to you?  Today's guest is Amitabh Sinha. Amitabh has a PhD in Computer Science and more than 20 years of experience in enterprise software, end-user computing, mobile, and database software. He co-founded Workspot in 2012. He was the General Manager of Enterprise Desktop and Applications at Citrix Systems. In his five years at Citrix, he was the VP of Product Management for XenDesktop and VP of Engineering for the Advanced Solutions Group. Show Notes: [1:03] - Amitabh shares his background and current role and contributions at Workspot. [4:35] - The first sign of ransomware in an organization is widespread blue screens and Microsoft machines shutting down. [5:40] - How does ransomware find its way to a device? [6:59] - Ransomware in your organization is not necessarily your fault. [10:37] - Amitabh describes how he has helped client organizations back up and running after having been infected with ransomware. [13:11] - Typically, it is not recommended to pay the ransomware, but it may be a viable option for some organizations. [15:59] - Most small companies are not prepared to prevent or handle ransomware. [17:34] - In most large companies, not all PCs are up to date on security patches. [20:41] - Cloud storage is much safer and can be accessed on other physical machines in the event that ransomware shuts down an organization. [24:41] - For those who work from home, sometimes multiple machines makes things even more complicated. [27:35] - What are you willing to pay to not have something happen? That's how ransomware takes advantage of people. [31:20] - For small companies, there is typically an architectural solution, but that isn't always viable for large organizations. [33:14] - Consider the critical functions of your organizations and what a plan could be if computers were not accessible. [34:37] - These types of attacks are more and more frequent. [36:44] - Amitabh is confident that AI will make preventing ransomware even more challenging. [40:38] - Most people have accepted that a lot, if not all, their information has already been leaked on the internet. But businesses are particularly vulnerable. [42:30] - A whole organization can be drastically impacted by just one machine being hit by ransomware. Thanks for joining us on Easy Prey. Be sure to subscribe to our podcast on iTunes and leave a nice review.  Links and Resources: Podcast Web Page Facebook Page whatismyipaddress.com Easy Prey on Instagram Easy Prey on Twitter Easy Prey on LinkedIn Easy Prey on YouTube Easy Prey on Pinterest Amitabh Sinha on LinkedIn Workspot.com

In this episode of The Click-Down, Jason Samuel, Citrix Group Product Manager, joins me to discuss Citrix DaaS for AWS Workspaces Core. We discuss the main differences between AWS WorkSpaces Core and deploying Citrix DaaS on AWS EC2, the benefits of fixed pricing and predictable costs, the integration with Citrix DaaS, and using existing Citrix tools and functionalities. We also touch on authentication methods and the importance of automation in cloud projects.

Plus, Vista Equity Partners is raising $5 billion to extend its investment in the parent company of enterprise-software makers Citrix and Tibco. And U.S. lawmakers want to restrict a trade provision used by Chinese e-commerce giants. Danny Lewis hosts.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Is tech giving you a headche? Are you tired of passwords, worrying that you may get hacked?In this episode of The Business Ownership Podcast I interviewed Denis O'Shea. Denis O'Shea is the founder and chairman of Mobile Mentor, a global leader in the endpoint ecosystem. He began the company in New Zealand in 2004 with a simple mission – to empower people to achieve more with their devices. Since then, the company has helped millions of people unlock the full potential of their technology. In 2017, O'Shea moved to Nashville to launch the company's US office, with a focus on helping businesses secure their mobile workforce. An early pioneer in the mobile endpoint ecosystem, O'Shea established long-term partnerships with industry leaders such as Nokia, Citrix, Vodafone, MobileIron, and most recently with Microsoft resulting in earning the Global Partner of the Year Award for Endpoint Management.Prior to founding Mobile Mentor, O'Shea spent 15 years as a global executive with Nokia including stints in Finland and Switzerland. He also has extensive experience doing business in China, Brazil, and Australia. He attended the University of Limerick, Helsinki Technical University, and IMD Business School. Learn how to modernize your business IT. Check this out!Show Links: Denis O'Shea LinkedIn: https://www.linkedin.com/in/denisosheamobilementor/Mobile Mentor Website: https://www.mobile-mentor.com/Book a call with Michelle: https://go.appointmentcore.com/book/IcFD4cGJoin our Facebook group for business owners to get help or help other business owners!The Business Ownership Group - Secrets to Scaling: https://www.facebook.com/groups/businessownershipsecretstoscalingLooking to scale your business? Get free gifts here to help you on your way: https://www.awarenessstrategies.com/