Podcasts about VMware

Medusa's reach grows. Cl0p expands its victim list. The DOJ charges 17 alleged Iranian hackers. CISA sounds the alarm on four exploited vulnerabilities. TWINLOOT hides in plain sight inside Microsoft 365. Maria Varmazis shares the latest from the space-cyber realm as Ukraine strikes Russia's satellite nerve center. The FDA considers guardrails for AI medical devices. Expired credit cards get an unexpected second life. A disgruntled contractor heads to prison. Dave Bittner sits down with Brian Vecci, Field CTO at Varonis, at Black Hat USA to discuss how AI is calling your security bluff. Highway hijinks meet high-tech hardware. 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 At Black Hat USA, Dave Bittner sat down with Brian Vecci, Field CTO at Varonis, as they discussed how AI is calling your security bluff. If you enjoyed this conversation, be sure to check out the full interview here. Selected Reading CISA: Medusa ransomware hit over 500 critical infrastructure orgs (Bleeping Computer) US charges Iranians for sprawling hacking campaign on government agencies, universities (The Record) Cl0p Ransomware Group Names Over 40 Victims of PTC Windchill Campaign (SecurityWeek) CISA Urges Immediate Patching of Exploited Microsoft, VMware, Apple Vulnerabilities (SecurityWeek) New TWINLOOT Malware Steals Windows Passwords Via Fake Lock Screen (Hackread) Ukraine says it hit Russian rocket centre linked to Starlink-style network (CNBC) FDA Weighing Possible Regs for GenAI Medical Devices (GovInfo Security) Expired credit cards revived by researchers to make unauthorized payments (The Register) Prison for data analyst who tried to extort $2.5 million from his employer (Bitdefender) ‘The Worst I've Ever Seen': Cargo Thefts Have Turned Violent in Pursuit of AI Hardware (WIRED) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.   Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.

Andrew Pla sits down with TJ Turner at Microsoft's TechMentor conference @ Microsoft HQ in Redmond, Washington, for a conversation about PowerShell, career growth, and the parts of working in IT that don't show up in the documentation. TJ traces his path from infrastructure through K-12, finance, and retail to his current role as a Cloud Evangelist at TD SYNNEX, along with his early days using PowerShell v2 and v3, competing in the Scripting Games, and helping start the Philadelphia PowerShell User Group. They also dig into real-world automation wins, including a PowerShell workflow that helped validate thousands of systems before a holiday weekend, plus burnout, community, asking for help, and what years of broken demos and IT mistakes can teach you about staying prepared and learning to adapt. Key Takeaways: · What got you here won't get you there. TJ's career moved from hands-on infrastructure into distribution, cloud, and technical evangelism, and none of those moves were necessarily part of the original plan. Staying open to new roles, skills, and opportunities has been a big part of that growth. · PowerShell changes how you think, not just how you work. TJ shares examples of using PowerShell to validate thousands of systems, automate VMware update workflows, and collect detailed system state information. Over time, that automation mindset became part of how he approaches problems, even as his career moved beyond day-to-day infrastructure work. · Community and communication are technical skills too. Whether it's recognizing burnout, asking for help, meeting someone at a conference, or admitting you don't know an answer during a presentation, the ability to connect with other people can have just as much impact on your career as knowing the technology. Guest Bio: TJ Turner is a Cloud Evangelist at TD SYNNEX, one of Microsoft's largest distributors in the CSP and partner channel. His background is in infrastructure, with experience spanning K-12, financial services, retail, and other enterprise environments. TJ got started with PowerShell during the v2 and v3 era, competed in the Scripting Games, and helped found the Philadelphia PowerShell User Group. Today, his work includes Azure, Microsoft 365, security, GitHub, DevOps, and helping partners grow their businesses. Resource Links: · TD SYNNEX Microsoft Partner Programs: https://www.tdsynnex.com/na/us/Microsoft/ · PDQ Connect PowerShell Scanner: https://www.pdq.com/powershell-scanner/ · PDQ PowerShell Scanner Blog Post: https://www.pdq.com/blog/the-powershell-scanner-has-arrived-in-pdq-connect/ · PDQ Community PowerShell Scanners Repository: https://github.com/pdqcom/PowerShell-Scanners · TJ Turner on LinkedIn: https://www.linkedin.com/search/results/people/?keywords=TJ+Turner+TD+SYNNEX The PowerShell Podcast on YouTube: https://youtu.be/ce9vxdkzDbo  

What separates an exceptional executive from an outlier founder? For Sequoia Capital partner Bogomil Balkansky, learning the difference required recalibrating his own definition of talent. In this episode of Technoventure, Peter High speaks with Balkansky about how Sequoia evaluates founders when there is little data to rely on, why intuition matters in early-stage investing, and what his experiences at VMware and Bebop taught him about building enduring companies. They also explore the evolution of Wiz, AI's impact on cybersecurity, and why the companies that define a technology era may not be the ones that first blaze the trail. You'll hear: What makes a founder an “outlier” Why great employees do not always become great founders How Balkansky approaches high-stakes, one-way-door decisions Why startups should earn the right to become platforms How AI could create a new generation of cybersecurity champions Listen to the full conversation for an investor-operator perspective on founders, markets, risk, and building through disruption.

Referências do EpisódioActive exploitation of CVE-2026–59310: 361 victim IPs across 47 countriesVMSA-2026-0006.1: VMware ESX, vCenter, Workstation, and Fusion updates address multiple vulnerabilities (CVE-2026-59309, CVE-2026-59310, CVE-2026-47876, CVE-2026-41703, CVE-2026-41709)Attackers Exploit VMware vCenter Vulnerability to Gain Persistent Remote AccessAdobe Patches Three CVSS 10.0 ColdFusion and Campaign Classic FlawsAbuse of alternative runtime environments Deno-tes defender headachesKimwolf v7: An Evolution of the Kimwolf BotnetCATAnA: On the Dangers of SIM-Originating AT CommandsArmored Likho expands its cyber-espionage toolkitRoteiro e apresentação: Carlos CabralEdição de áudio: Paulo Arruzzo Narração de encerramento: Bianca Garcia

In this episode, we welcome Ernie China, who recently joined Everpure after a decade at VMware and Broadcom. Ernie brings deep expertise in the virtualization ecosystem and offers a unique perspective on the industry landscape during this pivotal time. Our conversation serves as a warm introduction to Ernie and sets the stage for a broader discussion on the challenges and opportunities facing IT teams today. The core of our discussion explores the current state of virtualization, particularly how enterprises are reacting to the recent changes following the Broadcom acquisition. Ernie explains why customers are feeling significant turmoil as they navigate shifts from perpetual licenses to subscription models. They discuss the common struggle many organizations face, describing a transitional phase where leaders are weighing whether to stay the course with their existing VMware investment or explore alternative hypervisors and container based strategies. Finally, we highlight Everpure's commitment to supporting customers throughout this transition. Everpure remains fully invested in the VMware ecosystem while providing a robust foundation for those looking to modernize their infrastructure through containers or other hypervisors. We make a compelling case for why IT leaders must elevate data management as a strategic priority, ensuring that decisions about performance, security, and efficiency are made long before infrastructure choices are finalized. To learn more, visit: https://www.everpuredata.com/solutions/virtualization.html Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Coming Up 00:29 Intro to our Guest 04:32 Inside the Broadcom Transition 09:11 Stats of the Episode on Virtualization Trends 15:10 Alternative Hypervisors and Options 19:50 Dual Strategies 24:50 Data Management is Imperative 27:44 Hot Takes Segment

When mid-air Wi-Fi scares meet massive enterprise AI investments, IT teams are forced to rethink both security and cloud strategy. On this episode of the Tech Field Day News Rundown, hosts Tom Hollingsworth and Alastair Cooke break down a fake Wi-Fi network detected on a Delta flight post-DEF CON that temporarily shut down inflight internet. They also explore NetApp acquiring JetStream Software to ease VMware cloud disaster recovery, along with NVIDIA releasing open-source tools like Nemotron 3.5 Lightning and NeMo Switchyard to cut enterprise AI costs. IBM and Together AI are building a $240 million AI cluster on IBM Cloud, Sectigo launched its Orchestration Gateway to automate certificate renewals before TLS lifespans drop to 47 days, Blumira introduced the Hearth AI security command center, and the FBI teamed up with Huntress to patch thousands of compromised Microsoft Exchange servers using an attacker backdoor.This and more on the Tech Field Day News Rundown with Tom Hollingsworth and Alastair Cooke. Tech Field Day is part of The Futurum Group. Time Stamps: 0:00 - Cold Open1:18 - Welcome to the Tech Field Day News Rundown2:17 - NetApp Buys JetStream to Expand VMware Disaster Recovery5:07 - Delta Flight Wi-Fi Targeted by Hackers After DEF CON8:11 - NVIDIA Pushes Open AI With New Models and Routing Tools11:00 - Sectigo Automates Certificate Management as Renewal Windows Shrink14:33 - IBM and Together AI Strike $240M NVIDIA Infrastructure Deal16:55 - Blumira Launches AI Command Center for Cybersecurity19:55 - FBI and Huntress Used Hacker Backdoors to Disrupt Silk Typhoon26:07 - ⁠The Weeks Ahead: Upcoming Tech Field Day Events29:13 - Thanks for Watching the Tech Field Day News RundownThis and more ⁠on the Tech Field Day News Rundown⁠ with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠. Follow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Derek Ross from TrueMark joins Ingram Micro's AWS Partner Spotlight to explain why being an AWS-only implementation partner lets his team go deeper than generalist competitors — from smarter VMware modernization and landing zone governance to cost optimization and secure enterprise AI on Amazon Bedrock. Derek shares how TrueMark helps lean IT teams in education and government scale confidently without sacrificing compliance or control over their data.Key Takeaways

Derek Ross from TrueMark joins Ingram Micro's AWS Partner Spotlight to explain why being an AWS-only implementation partner lets his team go deeper than generalist competitors — from smarter VMware modernization and landing zone governance to cost optimization and secure enterprise AI on Amazon Bedrock. Derek shares how TrueMark helps lean IT teams in education and government scale confidently without sacrificing compliance or control over their data.Key Takeaways

VMware Podcastfestival 5/5: Release cycles, support og opgraderinger I det femte og sidste afsnit af VMware Podcastfestival runder vi serien af med et af de vigtigste emner for alle, der arbejder med VMware Cloud Foundation: Planlægning af opgraderinger, release cycles og den fremtidige supportmodel. Mads Storm Andersen fra Arrow har inviteret Thomas Hagedorn fra Broadcom og Henrik Witek fra Arrow i studiet til en snak om, hvordan du bedst planlægger overgangen til VMware Cloud Foundation, og hvorfor det kan betale sig at starte rejsen allerede nu. Du kan blandt andet høre om: ✅ Greenfield eller brownfield – hvad giver bedst mening? ✅ VCF Upgrade Planner og planlægning af migreringen. ✅ Den nye supportmodel og release-strategi. ✅ Lifecycle Management og løbende opgraderinger. ✅ Praktiske råd til at komme godt i gang med VMware Cloud Foundation.

Apple Patch Summary / Postscript https://isc.sans.edu/diary/Apple%20Patches%20Everything%20%28July%202026%29/33196 IPMI Admin Password Hash Leak https://lavahq.io/research/bmc-exposure-alert Patches for VMWare https://support.broadcom.com/web/ecx/support-content-notification/-/external/content/SecurityAdvisories/0/38017 OpenWRT Patch, odhcpd vulnerability CVE-2026-53921 https://github.com/openwrt/odhcpd/security/advisories/GHSA-7fwx-hhrg-3496 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

Mads Storm Andersen fra Arrow har inviteret Thomas Hagedorn fra Broadcom og Henrik Witek fra Arrow i studiet til en snak om, hvordan vSAN ESA udvikler sig, og hvilke muligheder de nye funktioner giver i praksis. Du kan blandt andet høre om: ✅ Global deduplikering og komprimering. ✅ S3-kompatibel storage til moderne workloads. ✅ Storage Only Clusters og fleksibel skalering. ✅ Auto Policy og intelligent håndtering af redundans. ✅ Hvordan vSAN ESA kan reducere både kompleksitet og omkostninger.

The Senate confirms Jay Clayton to lead ODNI. A new CISA framework highlights critical infrastructure isolation capabilities. OpenAI's rogue agent breached more than just Hugging Face. The average cost of a data breach continues to rise. Indirect prompt injection proves irresistible to cyber criminals. Broadcom patches multiple VMware products. ShinyHunters claims responsibility for Ernst & Young's recent breach. Our guest is Sean Zadig, CISO at Yahoo, discussing the impact of AI on the defense side. These aren't the droids you're looking for. 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 are joined by Sean Zadig, CISO at Yahoo, discussing the impact of AI on the defense side without all the hype in either direction, what is a CISO actually doing about it. Selected Reading Senate Confirms Jay Clayton to Lead U.S. Intelligence Community (The New York Times) China and Iran Are Already Inside US Grids: CISA Demands Tested Isolation Plans (Tech Times) OpenAI's rogue agent compromised a customer at a second tech firm, executive says (Reuters) Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident (Hugging Face) The Average Cost of a Data Breach Rises to $5 Million (Infosecurity Magazine) USSPACECOM Issues Space Warfighting Environment 2040 for Joint Force Space Operations (ExecutiveGov) THE SPACE WARFIGHTING ENVIRONMENT 2040 Framing the Future for the Joint Warfighter (U.S. Space Command)  Notes from Underground: Adversarial Prompt Injection (Proofpoint) Critical VM Escape Vulnerability Patched in VMware ESXi (SecurityWeek) ShinyHunters Claims Ernst & Young Hack (SecurityWeek) America bans imported robots due to supply chain and security risks (The Register) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc.

This week, Microsoft is betting big on AI-driven cybersecurity, there's another sophisticated attack targeting Microsoft 365 users, VMware has lost yet another large customer, and we'll cover all of the latest enterprise IT news you need to know from the past week. Reference Links: https://www.rorymon.com/blog/microsofts-ai-security-push-hotel-wi-fi-attacks-tpm-comes-to-kms/

The episode reveals infrastructure dependence and vendor consolidation risks in the IT channel, illustrated by Broadcom's abrupt closure of the VMware Cloud Service Provider (VCSP) program. This move eliminated license access for numerous MSPs, disrupting established practices reliant on VMware platforms and forcing providers into accelerated, unplanned migrations. The event highlights the vulnerability of service provider business models when built on external vendor programs without autonomy or long-term contractual assurance. The most consequential development discussed is the forced transition experienced by Valor C3 Data Centers after Broadcom shut down the VCSP program on October 31, 2025. According to Justin Fox, this action imposed a non-negotiable deadline and provided no grandfathering, causing hundreds of MSPs to lose access to essential licenses. Valor allocated several hundred hours to research and migration planning, citing costs between $200,000 and $300,000 per site for new landing zone infrastructure, not including increased hardware prices driven by AI market demand. Decisions centered on reducing repeat vendor risk, balancing reuse of existing hardware, and evaluating alternatives such as full open source OpenStack via Platform9. Supporting developments point to broader changes in the virtualization market post-Broadcom. Justin Fox noted that, while Proxmox and Hyper-V are common destinations for displaced VMware users (especially in small, single-tenant environments), larger service providers prioritize native multi-tenancy, platform flexibility, and hardware independence—criteria that led Valor to OpenStack. The importance of ecosystem compatibility, operational simplicity, and readiness to pivot away from vendor-managed solutions was elevated against the background of supply chain disruptions and rising hardware costs. For MSPs and IT leaders, these circumstances clarify the need for robust vendor risk assessment and contingency infrastructure strategies. Reliance on proprietary vendor programs presents exposure to sudden policy changes, price escalations, and contract terminations. Transitioning to open platforms can reduce repeat risks, but does not eliminate dependency—especially when managed open source solutions have their own governance and continuity considerations. Clear communication with customers, careful management of migration costs, and ongoing evaluation of vendor relationships are required to avoid operational shocks and revenue disruption in an increasingly consolidated channel environment. Supported by: Pax8 ScalePad

This week, we discuss Bun's move to Rust, OpenAI hunting for revenue, and Stripe's bid for PayPal. Plus, Coté's Dad wisdom. Watch the YouTube Live Recording of Episode 582 Runner-up Titles Turn off my dog Dad Wisdom Amazon subscription and let it fly Dad box Talking about modernization Skin in the game The ivory tower of “Things Actually Work in the Real World” Business fortnight No SegwaysBanking works everywhere else in the world, not America Rundown Rewriting Bun in Rust OpenAI OpenAI's No. 2 Executive to Step Down in Latest Leadership Shake-up OpenAI's Chief Futurist Is Leaving the Company AI Devices Are Coming. Will Your Favorite Apps Be Along for the Ride? OpenAI Executive Kevin Weil Is Leaving the Company OpenAI power consolidates under co-founder Greg Brockman ahead of prospective IPO Barret Zoph is out at OpenAI again after just five months Apple sues OpenAI, accuses ex-employees of stealing trade secrets OpenAI Appears to Be Missing Its Sales Goals by a Vast Margin Stripe, Advent make $53 billion takeover offer for PayPal, sending stock soaring Relevant to your Interests SpaceX, AI Bubble Fears, and The Age of the Trillion-Dollar, Zero-Profit Company Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence Building a CLI for all of Cloudflare California founder fired for ignoring his company's own return-to-office mandate Samsung chip division's single-year profits beat its past 40 years of profits, combined Did a lottery winner become "the company of the future"? Power company hikes data center bills by 30%, cuts residential electricity costs by 1.3% Where AI Works: Slack is the Conversational Interface for Headless AI Salesforce MCP Servers: AI, Data & Analytics for Tableau & Data 360 in Slack IBM and Red Hat launch Lightwell to defend open-source code from AI attacks Infoblox acquires Kentik, adding network observability to its DNS and DDI platform Apple 'Hide My Email' Vulnerability Reveals Peoples' Real Email Addresses House passes bill to make daylight saving time permanent United Airlines' new upsell: Keeping other travelers out of the middle seat Linux creator Linus Torvalds puts foot down on anti-AI comments 1Password now lets Claude sign in to websites without seeing your passwords 1Password and Anthropic Bring Secure Credential Access to Claude forum, an accountable orchestrator for AI agents Google continues its renaming streak by turning NotebookLM to Gemini Notebook 'Pretty revolting': LG's TV are getting huge backlash from users due to installing software What is a micro-retirement? Inside the latest Gen Z trend You paid me, a long-time Linux user, to use Windows 11 exclusively for a month China delivers a one-two punch to America's AI dominance Can Lenovo's World Cup AI Moment Cement Its Enterprise PC Dominance? AI Coding Tools Deliver Speed but Not Business Value Unless Wrapped in Process: China's Moonshot in Talks on Pre-IPO Funds at $50 Billion Value OpenAI and Hugging Face partner to address security incident during model evaluation AI won't fix your broken culture, but you can fix your broken culture Oracle Is Now Down 28% in a Month. Will the 52-Week Low of $132 Hold or Fold? IBM stock craters 23% after issuing second-quarter earnings warning Sheetz is quitting VMware, migrating 11,000 virtual machines Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal AWS cloud lead Dave Brown heads to Meta - report - DCD Amazon senior cloud executive departs after 18 years Meta Caps Internal AI Token Spending After Costs Approach Billions in 2026 Meta Compute Launch Sends AI Compute Stocks Tumbling Globally Agentic ransomware for automated database extortion Dark-Moon: Autonomous AI pentesting engine Sponsors Signadot: making sure AI-written code actually works. Nonsense Messi Beats Ronaldo in 2026 World Cup Password Breach Data Rankings United Airlines' new upsell: Keeping other travelers out of the middle seat Yes, you can now order DoorDash from the command line House passes bill to make daylight saving time permanent Listener Feedback Biogen hiring Associate Director, Enterprise Architecture in Triangle, NC Tim releases a font for developers whose close-up vision isn't what it used to be The Java Story | Official Trailer | Full Film Coming July 17th Conferences DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 25 Free Tickets DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: entogo — Type a keyword. Go anywhere. 28 Years Later, The Bone Temple Matt: Vacation, not micro-retirement Coté: Wolf Hall books.

In this episode of Future Finance, host Paul Barnhurst and co-host Glenn Hopper are joined by guest Alex Brower, co-founder and CEO of QFlow.ai, to explore why forecasting problems often begin with the data layer. They discuss data plumbing, semantic alignment, Model Context Protocols (MCPs), vibe coding, and how finance and go-to-market teams can work from shared definitions to improve forecast quality and analysis.Alex Brower is the co-founder and CEO of QFlow.ai, helping finance and go-to-market teams connect data, improve forecast accuracy, and boost analyst productivity by up to five times. He previously led finance and marketing at high-growth tech firms like AppTelligent (acquired by VMware) and Cloud Academy (acquired by QA).In this episode, you will discover:How data hygiene and shared definitions improve forecastingWhy unified data alone does not solve business alignment issuesMCP vs semantic layers for reliable analysisThe risks of untested AI-generated analysisWhy AI cost and governance matterAlex explains how QFlow helps companies prepare data, run planning workflows, and turn analysis into board-ready stories.Follow Alex:Website: https://qflow.ai/LinkedIn: https://www.linkedin.com/in/alexbrower/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.ai:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] – Introduction[02:15] – Data & Forecasting Challenges[06:43] – MCP vs Semantic Layers[09:55] – AI Coding Risks[15:52] – QFlow Data Preparation[18:10] – Planning & Business Insights[20:51] – Closing Thoughts

Join us as Faye Ellis breaks down what responsible AI actually looks like in practice on Amazon Bedrock - live demos included, straight from her prep for the AWS Generative AI Developer Professional certification. Faye walks through the NIST AI risk framework's core characteristics of trustworthy systems, then demos two hands-on builds: a RAG pipeline using S3 Vectors as a low-cost knowledge base, and Bedrock Guardrails blocking financial advice, prompt injection attacks, and sensitive information in real time. You'll learn the difference between prompt engineering and guardrails, how contextual grounding checks catch hallucinations before they reach a user, why data cleaning and deduplication matter as much for cost and sustainability as for bias, and what Faye wishes she'd known going into one of AWS's hardest professional-level exams. Timestamps 0:00 Welcome & Introduction 9:28 What Makes an AI System Trustworthy - The NIST Framework 15:19 Famous AI Failures - From ChatGPT Code Leaks to Biased Systems 22:56 Building RAG with Bedrock Knowledge Bases and S3 Vectors 26:29 Live Demo - Setting Up RAG with S3 Vectors 31:19 Prompt Engineering and Bedrock Prompt Management 34:46 What Are Bedrock Guardrails and How They Work 41:22 Live Demo - Blocking Financial Advice, Jailbreaks, and PII 53:00 Preparing for the AWS Generative AI Developer Professional Exam 59:04 Resources and Wrapping Up How to find Faye: https://www.linkedin.com/in/fayeellis/ https://app.pluralsight.com/profile/author/faye-ellis Links from the show: https://aws.amazon.com/bedrock/ https://skillbuilder.aws/ https://aws.amazon.com/certification/

Join us this week for a Tech Leaders Podcast Special, where Gareth sits down with Barry Pilling, Principal ITAM Consultant and VMware Specialist at bedigital to discuss the latest developments in the ongoing Tesco VS Broadcom court case. On this episode, Gareth and Barry discuss updates to the case, Broadcom's wider business strategy, and the possible impact on future customer-vendor relationships across the industry. Timestamps: Trial date set, and Tesco's amended claim (1:32) Is Broadcom market dominant? (5:10) Trial timetable and legal strategies (9:31) The Broadcom business model (13:41) The broader impact on customer/vendor relationships (16:08) Broadcom's 1 year offer, and Computacenter's involvement (21:04) Key takeaways (25:37) https://www.bedigitaluk.com/

La France dépend encore massivement des géants américains pour ses logiciels, son cloud et son intelligence artificielle. C'est le constat sévère dressé par la commission d'enquête sur les vulnérabilités numériques, dans un rapport publié mercredi 15 juillet. Près de 80 % des achats réalisés auprès des cinquante principaux fournisseurs de logiciels de l'Ugap, la centrale d'achat public, bénéficient à des entreprises américaines comme Microsoft, VMware ou Oracle. Les administrations dépenseraient au moins 1,5 milliard d'euros par an dans des solutions extra-européennes. Selon les députés, un milliard pourrait pourtant être réorienté dès maintenant vers des logiciels libres.Le constat est similaire pour l'hébergement des données. Des ministères, la CNAF, France Travail, mais aussi EDF, Enedis ou SNCF Réseau utilisent encore largement AWS, Google Cloud ou Microsoft Azure. Or, les lois américaines peuvent permettre aux autorités d'accéder à certaines informations hébergées par ces groupes. Les élus alertent également sur un possible « kill switch » : la capacité de Washington à couper l'accès à des services numériques par de simples restrictions à l'exportation.L'intelligence artificielle accentue cette dépendance. ChatGPT serait utilisé par 79 % des Français ayant recours à l'IA, contre seulement 14 % pour le service de Mistral. À cela s'ajoute une régulation jugée trop lente ou insuffisamment appliquée. Sur 3,5 milliards d'euros d'amendes prononcées en Irlande entre 2020 et 2024 au titre du RGPD, seulement 0,6 % auraient réellement été payés. Le rapport dénonce aussi un lobbying puissant, avec 35 millions d'euros dépensés par les GAFAM en 2025 et plus de 200 représentants mobilisés à Bruxelles. Il pointe enfin des stratégies de verrouillage : crédits cloud attractifs, présence dans les écoles et influence de prestataires présentant les solutions américaines comme incontournables.La commission propose donc de basculer 100 % des achats de logiciels de l'État vers l'open source à partir de 2030. Elle cite la gendarmerie, passée sous Linux, qui aurait économisé 534 millions d'euros depuis 2004. Parmi les autres mesures : une clause de souveraineté dans les marchés publics, un soutien renforcé aux entreprises françaises, un moratoire sur certains data centers étrangers et la création d'un véritable ministère du Numérique. L'objectif est clair : transformer une dépendance devenue stratégique en politique industrielle. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

This week's full broadcast of Computer Talk Radio includes - 00:00 - Nerd News, Human Edition - Amazon Leo, data centers, RAM pricing, Vmware, licensing - 11:00 - Listener Q&A - cloud, training - Rita asks of organizing cloud files, Tom on helping train family - 22:00 - Cleaning out space on your iPhone - Keith gives great tips on cleaning out storage space on iPhone - 31:00 - Marty Winston's Wisdom - Mark covers Keychron mouse and Asus Zenbook 316S laptop - 39:00 - Scam Series - Resume Siphon - Benjamin warns of Resume Credential Verification Siphon Scam - 44:00 - Keske on CAD and CAI - Steve covers Computer Aided Instruction and also CAD - 56:00 - Dr Doreen Galli - Dunning Kruger - Whisper reports on fleet electrification, XR, licensing trends - 1:07:00 - Listener Q&A - upgrading devices - Mark on when device is dead, Dana on planning upgrades - 1:16:00 - IT Professional Series - 388 - Benjamin covers myth of fully AI driven automated workplace - 1:24:00 - Listener Q&A - iPhone albums - Holly asks why phone keeps making photo albums vs hers

This week, Microsoft has just released the biggest Patch Tuesday in its history with 570 security vulnerabilities fixed, AI is forcing IT teams to rethink how quickly they deploy updates, and we're seeing yet another reminder that patching isn't always straightforward when one Windows update is already being blocked on some Dell systems. We'll also look at new attacks targeting password manager users, another major third-party breach, more fallout from Broadcom's VMware strategy, some interesting AI news from OpenAI and Anthropic, and much more. Reference Links: https://www.rorymon.com/blog/a-record-breaking-570-flaws-and-microsoft-wants-you-to-patch-faster/

Future Finance host Paul Barnhurst and co-host Glenn Hopper are joined by Alex Brower, co-founder and CEO of QFlow.ai, to unpack why forecasting often breaks down even when teams have plenty of data. The discussion focuses on how finance and go-to-market teams can work from shared inputs, improve planning accuracy, and use AI without losing the structure needed for reliable decisions.Alex Brower is the co-founder and CEO of QFlow.ai, helping finance and go-to-market teams connect data, improve forecast accuracy, and boost analyst productivity up to five times. He previously led finance and marketing at high-growth tech firms like AppTelligent (acquired by VMware) and Cloud Academy (acquired by QA).In this episode, you will discover:Fix data plumbing before system consolidation.Use data dictionaries for consistent definitions.AI helps, but semantic logic is still needed.Vibe coding can create hidden costs if untested.Start with key unanswered questions, then plan solutions.Alex shares lessons from leading finance, operations, and marketing teams at high-growth companies, including what he learned from living the forecast tension on both sides of the table.Follow Alex:Website: https://qflow.ai/LinkedIn: https://www.linkedin.com/in/alexbrower/Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow QFlow.ai:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:00] – Trailer[03:44] – Finance-to-marketing journey & QFlow's solution[07:10] – Data plumbing vs. alignment[11:37] – MCPs, AI, and logic layers[14:50] – Risks of vibe coding & maintainability[21:56] – How QFlow handles data, planning, and storytelling[30:57] – Alignment before strategy & reducing fact-hunting[35:39] – Where CFOs/FP&A should start modernizing[44:03] – Closing & sponsor sign-off

Is your IT strategy quietly giving up control? This week on the Tech Field Day News Rundown, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ examine VMware's rising costs and lock-in risks, AI-driven cybersecurity, the escalating open-versus-closed model race, and the strain AI data centers place on local infrastructure. They also explore concerns around AI providers retaining business knowledge, reported source-code leaks, intellectual property, and how organizations can preserve options before vendor dependence becomes urgent.This and more on the Tech Field Day News Rundown⁠ with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke. Time Stamps: 0:00 - Cold Open0:27 - Welcome to the Tech Field Day News Rundown1:28 - VMware Pressure Is Mounting Depite Choices5:37 - Cribl Acquires CardinalOps to Bring AI Agents Into Security Operations8:17 - Reflection AI Locks In $1B+ Nebius Deal10:22 - Apple Sues OpenAI, Alleging Trade Secret Theft in AI Hardware Push15:01 - New York Pauses Major Data Center Projects Amid AI Power Concerns18:08 - Satya Nadella Warns Companies: AI Can Cost You More Than Money21:18 - Anthropic Moves to Remove Leaked Claude Code as Copyright Debate Intensifies27:54 - The Weeks Ahead: Upcoming Tech Field Day Events29:41 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

Join us as John Mark Troyer and Rakesh Gupta break down what AI observability actually means once agents leave the demo and hit production - and why the old playbook for monitoring doesn't cut it anymore. John Mark and Rakesh walk through why errors and latency are just the starting point for agents, how quality became a much harder thing to measure once bots went from answering questions to taking autonomous action, and why token-based costs are creating a confusing new economics problem for engineering teams. You'll learn the difference between online and offline evals, why a new engineering role has emerged just to build testing harnesses for agents, how trace data works differently when every prompt is its own trace, and what teams are doing to catch prompt injection and other AI-specific failure modes before they become expensive mistakes. Timestamps 0:00 Welcome & Introduction 3:20 Full Disclosure - Observe, Snowflake, and How This Conversation Started 7:07 From Developer Concerns to Boss's Boss's Boss - Spending Out of Control 8:29 What Actually Gets Measured - Errors, Latency, Quality, and Cost 10:30 The Casino Chip Problem - Confusing Token Pricing Models 13:47 Defining Quality When the Task Itself Is Nebulous 18:41 The New Role - Engineers Who Just Build Testing Harnesses 22:00 Non-Determinism and Why Testing Agents Is Expensive 32:10 Trace Data, Tool Calls, and What Observability Tools Actually See 55:08 Prompt Injection, Zero-Width Characters, and Real World Failures How to find John Mark: https://www.linkedin.com/in/johnmarktroyer/ How to find Rakesh: https://www.linkedin.com/in/rg0/ Links from the show:

Les modèles d'IA de la semaine : LeanStral 1.5, Nano Banana et PhotoQuilt, avec aussi GLM 5.2 et la détection de textes IA. Microsoft Ion, sujets spatiaux, visas américains, VMware, batteries, les choix sur le 6 GHz pour les prochaines générations de wifi et de la 6G, robots compagnons et agents IA.  Me soutenir sur Patreon Me retrouver sur YouTube On discute ensemble sur Discord Modèles de la semaine Leanstral 1.5, Nanobana Lite, Photoquilt et une question d'Equilibre. GLM et sa sélection d'index. Les IA se reconnaissent entre elles. The Flintstones : comment se débarrasser d'Elias ? Comme l'acide Chlorhydrique, Aion dissout les OS. Piles Incluses Rocket Lab rachète Iridium, pendant que Starmind s'éveille… The land of the (less and less) free. Tout le monde veut quitter Broadcomm, qui aurait pu préVMWare ? La seconde vie des batteries. Qui gagnera la bataille du 6 Ghz ? I'm a Barbie girl, in a Barbie world ! Vinton Cerf à la retraite. Il était temps. Enfin un PC que vous aurez les moyens d'assembler ! Participants Une émission préparée par Guillaume Poggiaspalla Présenté par Guillaume Vendé

Join us as Bob Belderbos breaks down how to actually learn new skills and languages in a world where AI can write the code for you before you've even finished the thought. Bob shares why he taught himself Rust the hard way, how keeping deliberate friction in your learning process protects you from skill atrophy, and why AI is incredible at explaining concepts but dangerous as a crutch for understanding them. You'll learn the difference between using AI to explain versus using it to do, how to structure a project-based learning path with tests as your guide, why coding autocomplete might be quietly hollowing out your skills, and how his Python and Rust cohorts are teaching professional engineers to use agents without losing ownership of their code. Timestamps 0:00 Welcome & Introduction 1:09 Bob's Background - From VBA to Python to Rust 4:39 Why Learn Rust When Python Already Works 11:43 AI as a Learning Assistant vs. a Socratic Teacher 12:30 The Slot Machine Problem - Agents and Skill Atrophy 17:24 Working Outside Your Expertise - The Fast LED Story 27:02 Structuring Prompts That Actually Teach You Something 33:56 Teaching Agentic AI in Production - The Expense Classifier Cohort 36:07 Autocomplete, Copilot, and the Line Between Helping and Hollowing Out 44:03 AI Slop, Coauthorship, and the Anti-Slop Engineer 53:49 What's Next - Rust, Haskell, and Bob's Upcoming Cohorts How to find Bob: https://www.linkedin.com/in/bbelderbos/ https://belderbos.dev/ Links from the show:

Unfortunately, there are some audio issues this week. I was unable to remedy them but will make sure they are sorted next week but on this week's episode: Microsoft is cutting nearly 5,000 jobs, with Xbox among the businesses being restructured — and employees here in Ireland are also being impacted. Meanwhile, Anthropic's once-hyped Claude Fable model is back, but users say the new guardrails have made it almost unusable for some coding tasks. And T-Mobile is trying to move tens of thousands of virtual machines away from VMware while fighting Broadcom in court over support. Plus, 81 million login attempts hit Microsoft 365 accounts, critical UniFi vulnerabilities need patching, and Microsoft is preparing to enable Windows backup by default for some enterprise devices. All that and much more, coming up on this week's 5Bytes Podcast. Reference Links: https://www.rorymon.com/blog/microsoft-cuts-4800-jobs-claude-ai-backlash-t-mobiles-great-escape-from-vmware/

There's a problem that's bugged the database industry since the 1980s: you run an expensive query over millions of rows, cache the result, and then a single new row arrives. Logically that's one small update, but most engines throw the cached answer away and recompute everything from scratch. Some will handle changes incrementally, but only for "simple" queries - and the rules for what counts as simple are arbitrary and brittle. So can you incrementally maintain *any* SQL query, no matter how complex? For decades the answer was no. Then an award-winning paper called DBSP proved that the answer is yes - all queries are simple enough.Joining me to explain how that works is Lalith Suresh, CEO of Feldera, the company built on top of DBSP. We start with the problem itself, then trace how a group of VMware researchers arrived at it from the unlikely direction of Kubernetes and network control planes. Lalith walks through Z-sets, the weighted data structure that turns database changes into something you can add and subtract, and the four DBSP operators - including one borrowed straight from digital signal processing - that let you compile any SQL program into an incremental version deterministically. Along the way we get into which operations need state and which don't, how the delta join falls out for free, building a standalone query engine with its own storage layer and Calcite front-end, backfills as the real Achilles heel, and how this all differs from stream processors like Kafka Streams and Flink.If you've ever fought with materialized views that won't refresh, watched a nightly batch job recompute three years of data to capture last night's changes, or you're just curious how one elegant bit of maths unifies batch and stream processing, Lalith has some genuinely satisfying answers. There's an MIT-licensed open source edition and a sandbox at try.feldera.com if you want to play along.---Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@DeveloperVoices/joinFeldera: https://www.feldera.com/Feldera Sandbox (try it online): https://try.feldera.com/Feldera on GitHub (open source): https://github.com/feldera/felderaDBSP Rust crate: https://crates.io/crates/dbspDBSP Paper - "Automatic Incremental View Maintenance for Rich Query Languages" (VLDB 2023 Best Paper): https://arxiv.org/abs/2203.16684Mihai Budiu - "Streaming Queries Without Compromise" (Current 2024): https://www.youtube.com/watch?v=cn1Yaxwl6x8Mihai Budiu - DBSP talk at CMU Database Group: https://db.cs.cmu.edu/events/dbsp-incremental-computation-on-streams-and-its-applications-to-databases/Differential Dataflow: https://github.com/TimelyDataflow/differential-dataflowApache Calcite (Feldera's SQL front-end): https://calcite.apache.org/Kafka Streams: https://kafka.apache.org/documentation/streams/Apache Flink: https://flink.apache.org/ksqlDB: https://ksqldb.io/Apache Spark: https://spark.apache.org/Snowflake: https://www.snowflake.com/Databricks: https://www.databricks.com/Kris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Join us as Du'An digs into the real mechanics of running AI locally and in production - from GPU memory math to multi-agent architectures, observability, and the economics of self-hosted inference. Du'An walks through how model weights and KV cache compete for GPU memory, why continuous batching matters when you have more than a handful of users, and how agent architectures like single-agent, workflow, graph, swarm, and supervisor patterns each solve different problems. You will learn how to instrument your agents with Langfuse for observability and cost tracking, when to use Ollama versus vLLM, how prompt caching can cut provider costs by up to 75%, and why GPUs should never sit idle. Episode two of three - the next episode covers deploying at scale. Timestamps 0:00 Welcome & Introduction 1:47 Du'An's New Role at Akamai Cloud 3:10 Data Privacy and the Case for Self-Hosted AI 7:21 Anthropic and OpenAI as the New Cloud Layer 12:48 Local Models for Specific Use Cases - Cancer Detection Example 15:02 GPU Memory Math - Weights, KV Cache, and Context Windows 19:32 Continuous Batching and GPU Time Slicing 20:03 Observability with Langfuse - Live Demo 27:44 Agent Architectures - Single Agent, Workflow, Graph, Swarm, Supervisor 36:36 Token Economics, Prompt Caching, and GPU Cost Planning 45:32 Ollama vs vLLM - Prototyping vs Production How to find Du'An: https://duanlightfoot.com https://www.linkedin.com/in/duanlightfoot/ Links from the show: https://langfuse.com/ https://github.com/akamai-developers/akamai-workshop-solution-architect-agent https://amzn.to/4bvHn1p https://vllm.ai/

Platform engineering forms the foundation for developers to build on, and you shouldn't be surprised that folks from VMware have been thinking about platforms for a long time. In today's episode, sponsored by Broadcom, Ned and Kyler discuss the current state and future of platform engineering with guests Jad El-Zein and Myles Gray. They cover... Read more »

Platform engineering forms the foundation for developers to build on, and you shouldn't be surprised that folks from VMware have been thinking about platforms for a long time. In today's episode, sponsored by Broadcom, Ned and Kyler discuss the current state and future of platform engineering with guests Jad El-Zein and Myles Gray. They cover... Read more »

Platform engineering forms the foundation for developers to build on, and you shouldn't be surprised that folks from VMware have been thinking about platforms for a long time. In today's episode, sponsored by Broadcom, Ned and Kyler discuss the current state and future of platform engineering with guests Jad El-Zein and Myles Gray. They cover... Read more »

Eric and Matt discuss the Explore community momentum this year with a better community booth, improved screens and keyboard for the code labs and giving away sensor while learning how to deploy workload to the edge using VKS.

What does it take to back a technical founder before there's a product, a customer, or a dollar of revenue? Ashmeet Sidana has been doing exactly that — and he's been oversubscribed on every fund he's ever raised.Ashmeet is the Founder and Managing Partner of Engineering Capital, a seed-stage venture fund he runs as a solo GP in the Bay Area. A Stanford-trained engineer and former product leader at VMware, he brings one of the sharpest technical lenses in early-stage venture.⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.comIn this episode we cover:→ Why software still holds 63,000x more opportunity than hardware→ Data as the new asbestos — and the AI slop contamination loop→ Data sovereignty and the rise of isolated global cloud regions→ Big tech's structural blind spots and the Gandhi model for startups→ Backing technical founders at day zero, before product or revenue→ Why running a fund alone is a structural advantage, not a risk→ The VMware lesson every AI infrastructure founder needs to hearLinks:Engineering Capital: engineeringcapital.comConnect with Ashmeet on X: ashmeetsidana Connect with Prashant: https://linkedin.com/in/choubeysahabSubscribe to VC10X newsletter - ⁠https://vc10x.beehiiv.com⁠Subscribe on YouTube - ⁠https://youtube.com/@VC10X ⁠Subscribe on Apple Podcasts - ⁠https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986⁠Subscribe on Spotify - ⁠https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ⁠VC10X website - ⁠https://vc10x.comTimestamps:(00:00) - Preview(01:22) - Introduction to Guest Ashmeet Sidana & Episode Overview(03:00) - The Interconnect Layer Bottleneck in LLM Training(04:52) - Physical Limitations: From Silicon Availability to Megawatt Capacity(06:01) - Powering Data Centers: Consistent vs. Intermittent Energy Sources(08:21) - The Case for Software: Unlocking 63,000x Performance Gains(11:12) - Data Sovereignty and the Rise of Independent Cloud Regions(13:19) - How Engineering Architectures Must Evolve to Handle "AI Slop"(16:57) - Can AI Be Used to Detect AI-Generated Slop?(18:26) - What Happens When a New AI Architecture Replaces the Transformer?(20:19) - Startup Opportunities Arising from the Legacy CPU Stack(21:48) - How Startups Can Compete with Big Tech's Infinite CapEx(25:34) - Identifying Big Tech's Structural Blind Spots in the AI Cycle(28:22) - Early Signals of Commercial Instinct in Technical Founders(29:47) - How to Pressure Test a Founder's "Technical Insight" at Day Zero(31:45) - The Solo GP Advantage: Turning Key Man Risk into Structural Alignment(34:51) - Transitioning from an Operator to a Venture Capitalist(36:34) - Managing the Workload as a Solo GP(39:30) - Why AI Startups Struggle to Find a Specific Niche like VMware's Server Consolidation(41:17) - Rapid-Fire Round: Investment Thesis(42:40) - Rapid-Fire Round: How Founders Can Get in Touch(43:05) - Rapid-Fire Round: Where to Follow Ashmeet Sidana

As B2B technology companies scale, size often comes at the cost of agility. Processes calcify, buying cycles stretch, and marketing teams end up running up and down the stairs faster instead of building the elevator.In this episode of the FINITE Podcast, Jodi Norris sits down with Carol Carpenter, CMO at Cohesity, to unpack what it really takes to market at enterprise scale without slowing down. Fresh from Cohesity's merger with Veritas, Carol shares the realities of integrating two large marketing organisations, building trust across cultures, and holding on to startup-style velocity inside a 5,800‑person business.She explains how her team uses AI to redesign workflows – from translation and brand governance tools, to AI‑powered SDR outreach that doubles lead‑to‑meeting conversion. Along the way, she draws a firm line between what can be automated and what cannot: creativity, taste and strategic judgement.Carol has been in technology marketing for most of her career, starting as a product manager at Apple. She enjoys scaling and transforming companies and has done that in leadership roles at VMware, Google, Apple, Trend Micro and now as CMO of Cohesity. Carol gives back through mentorship programs such as the HBS Women Entrepreneurship program and Monte Jade, an AAPI professional organisation.Inside you'll find…How to merge marketing cultures without losing speed, trust or clarityWhere AI genuinely shortens a six‑month enterprise buying journey – and where humans must stay in the loopA practical framework for lifting teams out of execution and into more strategic, high‑leverage work

Join us as Thorsten breaks down how everyday people - small business owners, retirees, hobbyists, and anyone who isn't a developer - can use AI to get real things done without writing a single line of code. Thorsten runs an AI roundtable for small and medium businesses in Germany and shares hands-on use cases from his own life and clients: a family recipe database built entirely on a mobile phone, 13 months of fitness data analyzed into actionable coaching, a personal AI project manager that reads his calendar and meeting transcripts, and real-world implementations for a dental practice and a tax advisory firm. You will learn how to think about AI as a team you never had, why prompts are the new apps, how to handle privacy and data regulations, and how to start this week with just one task. Timestamps 0:00 Welcome & Introduction 5:17 Who Is Thorsten and What Is Normal People AI 8:51 The Recipe Database Use Case 16:46 Fitness Tracking and Personal Coaching 22:27 Building an AI-Powered Personal Project Manager 34:23 Using Fireflies and MCP for Meeting Intelligence 41:14 Real Business Use Cases - Dental Practice and Tax Advisory 44:27 Privacy, GDPR, and When to Use Local Models 47:06 Getting Started - One Task This Week How to find Thorsten: https://www.linkedin.com/in/hoegertn/ Links from the show:

Most enablement teams can tell you how many people sat through a course, but not whether any of it moved the business. In this special Content to Close episode, Erika Robertson, Director of Enablement at Citrix, walks through how she proves enablement is worth the budget by starting with the end in mind. Erika is certified through the ROI Institute and uses the Phillips ROI methodology from Jack and Patty Phillips, which she contrasts with the Kirkpatrick model most L&D and enablement teams default to. She explains how she builds the measurement plan before any content exists, so she can go back to stakeholders and say, this is how I will show you it worked. She covers identifying the metric category or bucket first, then finding a baseline like average deal size or sales cycle time for a group before a program runs, aligning instructional strategies to the business outcomes that matter, and her discipline that if something cannot be measured or will not move the business, it is probably not worth the investment. If you have ever struggled to connect your enablement work to real business results, this conversation gives you the framework.About ErikaErika Robertson is the Director of Enablement at Citrix, where she supports internal go-to-market teams, partners, and customers. She thought she would become a teacher coming out of college, then found her way into training adults instead, and has spent almost her entire career in enablement inside software companies including Cisco, SAP, and VMware. She holds a master's in instructional technology and is certified through the ROI Institute in the Phillips ROI methodology. She is passionate about enablement, go-to-market enablement, and instructional design, and about staying true to those principles even as AI changes the work.Show NotesConnect with Erika on LinkedIn: https://www.linkedin.com/in/erikajrobertson/ROI Institute (Phillips ROI methodology, founded by Jack and Patty Phillips)Text us what you think about this episode!

On this week's show special guest co-host Rob Joyce joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. Rob served as an advisor to Donald Trump during his first term as president and also served at NSA for 34 years. While at the agency, Joyce led Tailored Access Operations (TAO), and later became NSA's Director of Cybersecurity. They cover: The surprisingly well done Fortibleed campaign Stolen Klue OAuth tokens lead to Salesforce data theft OpenAI wants to patch the planet runZero gets acquired by Accenture, congrats HD Moore! Much, much more! This episode is also available on YouTube. Show notes FortiBleed campaign used custom FortiGate sniffer to steal credentials | BleepingComputer FortiBleed: Fortinet device credential compromise expands into broader credential-attack guidance | unit42.paloaltonetworks.com Cybercriminals allegedly hacked tens of thousands of Fortinet firewalls used by major companies all over the world | TechCrunch Security Klue OAuth breach linked to 'Icarus' Salesforce data theft attacks | BleepingComputer Polymarket (@Polymarket) on X | X (formerly Twitter) The Korean telecom giant at the center of Anthropic's Mythos controversy | wrd.cm Beyond Fable: Can a Local LLM Replace Cloud AI for Security Code Reviews - SRLabs Research | SRLabs OpenAI Launches Full-Scale Effort to Patch Open-Source Bugs as It Takes on Anthropic's Mythos | wired.com Sponsored: Trail of Bits and OpenAI patch the planet | Risky Bulletin Intel agencies: Frontier AI models will reshape cybersecurity faster than expected | cyberscoop.com Embedding Forbidden Text in Spyware to Discourage AI Analysis | Schneier on Security A new unpatchable flaw in Apple chips opens the door to an iPhone jailbreak | TechCrunch Security USB worm spreads crypto-stealing malware via Windows shortcut files | BleepingComputer Android verification is coming: Google confirms timeline and supported app stores | Ars Technica California water utility probes breach claim by Iran-linked actor | Cybersecurity Dive Suspected cyberattack triggers false emergency alerts across parts of Brazil | The Record Tesco moving 40,000 server workloads off VMware amid Broadcom's "abusive conduct" | Ars Technica Trump directs federal agencies to protect US data from quantum threats | therecord.media Accenture shells out $4.18B on three companies in big industrial cybersecurity push | cyberscoop.com

Is Enterprise Tech Becoming Too Expensive to Maintain? From Ireland's staggering €1 billion Microsoft licensing renewal to Tesco's risky, high-speed migration away from Broadcom and VMware, the cost of enterprise infrastructure is reaching a breaking point. In this episode, we break down the upcoming Windows 11 26H2 release, Microsoft's newest Recycle Bin and Word automation bugs, and the controversial Wi-Fi location tracking feature returning to Teams. If you want to stay ahead of the enterprise IT curve, make sure to hit subscribe! Reference Links: https://www.rorymon.com/blog/tescos-risky-vmware-exit-irelands-e1-billion-microsoft-bill/

This week's episode covers a series of cybersecurity stories, including a researcher's discovery of vulnerabilities in FIFA's World Cup platform that could have enabled unauthorized administrative access and even the ability to alter live broadcasts. The team also discusses the risks of large-scale identity verification data exposure, supply chain attacks impacting the scientific research community, ongoing fallout from Broadcom's VMware acquisition, and legal challenges from major organizations facing rising VMware costs. Along the way, the hosts share commentary on AI-related security concerns, access control failures, and the broader impact of vendor decisions on enterprise security.Join us LIVE on Mondays, 4:30pm EST.A weekly Podcast with BHIS and Friends. We discuss notable Infosec, and infosec-adjacent news stories gathered by our community news team.https://www.youtube.com/@BlackHillsInformationSecurityChat with us on Discord! - https://discord.gg/bhis

Bitcoin often gets credited with inventing trustless consensus. It didn't.  The problem was named decades earlier — in the world of distributed computing — and researchers spent years studying how machines could reach agreement even when some participants were faulty, adversarial, or corrupt. What Bitcoin did was something different: It solved a classic Byzantine agreement problem in a radically new, permissionless setting. And it took the research world years to fully recognize what Satoshi had done. In this episode of First Principles, a16z crypto Head of Research and Columbia professor Tim Roughgarden is joined by a16z crypto research partner Ittai Abraham — one of the world's leading researchers in Byzantine agreement and consensus protocols, a founding member of VMware's blockchain project, and founder of the technical blog Decentralized Thoughts — to unpack the scientific roots of blockchain consensus.  Together, Tim and Ittai trace the line from classic distributed systems research to Bitcoin, proof-of-stake, Tendermint, Casper, DAG-based protocols, Solana's Alpenglow, and the modern race for higher throughput and lower latency. Along the way, they explain why concepts like Byzantine fault tolerance, state machine replication, safety, liveness, and partial synchrony are not just academic abstractions — they are the language and design principles behind today's blockchain protocols.  This conversation kicks off First Principles: The Scientific Roots of Blockchain Technology — a special, limited series from a16z crypto on the scientific ideas behind modern computing — especially blockchains — told through conversations with the pioneers who helped create them, including Barbara Liskov, Leslie Lamport, and more. Hosted by Tim Roughgarden, the series explores the foundational concepts behind distributed systems and consensus protocols; economics, mechanism and market design; and cryptography, from digital signatures to zero knowledge. People often tell the story of the Bitcoin whitepaper as if it appeared out of nowhere.  But the ideas behind Bitcoin — and behind blockchains more broadly — come from decades of computer science, economics, mathematics, and cryptography. First Principles is a guide to that lineage, told by the people who helped build it.  Highlights  00:00 Introduction to First Principles: The Scientific Roots of Blockchain Technology  00:56 Why consensus matters for blockchains  02:30 Byzantine agreement: The old computer science problem Bitcoin made practical  04:34 Blockchains as a shared system of record: State machine replication and blockchain state  06:41 How two research worlds — distributed computing and crypto — began to converge  07:49 Proof of work vs. proof of stake  09:27 Why Ethereum's move to proof-of-stake took years  11:08 When crypto rediscovered decades of distributed systems research  11:50 Why BFT became practical 12:49 Throughput, latency, and modern consensus design  14:05 DAG-based protocols and faster blockchains  15:25 Peace time vs. war time: why modern blockchains need two modes  16:47 Theory, practice, and the future of blockchain research    Follow:  Tim Roughgarden: https://twitter.com/Tim_Roughgarden  Ittai Abraham: https://twitter.com/ittaia  Follow a16z crypto:  X: https://twitter.com/a16zcrypto  LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/  YouTube: https://www.youtube.com/@a16zcrypto  Substack: https://a16zcrypto.substack.com/subscribe/  **  As always, none of the following should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Network Is Hot Again: Stackpane's Sarbjeet Johal on Cisco Live, AI Infrastructure and Systems Economics, Podcast, Johal brings a unique mix of technical, business, and economics experience to the discussion @Doug Green, Publisher, Technology Reseller News “The network is hot again because a lot more data is traversing on it, and a lot more data will traverse on it,” says Sarbjeet Johal of Stackpane. In this Technology Reseller News podcast, Doug Green speaks with Sarbjeet Johal, Founder and CEO of Stackpane, technology analyst, cloud strategist and go-to-market specialist, about why the network has moved back to the center of the enterprise technology conversation. Johal brings an unique mix of technical, business and economics experience to the discussion. A veteran of VMware, Oracle and Dell EMC, Johal has spent decades building and deploying enterprise systems, advising technology providers, and helping buyers understand cloud strategy, infrastructure modernization and digital transformation. At Cisco Live, Johal says the biggest theme was simplification. Cisco, he argues, is working to reduce infrastructure complexity for customers operating across public cloud, on-premises systems, AI workloads and increasingly distributed environments. That includes a renewed focus on infrastructure as code, platform control, and AI-assisted tools such as Cisco IQ, which Johal says can help customers and partners troubleshoot, configure and operate Cisco environments more effectively. The conversation then turns to Johal's recent observation that “the network is hot again.” His point is that AI, real-time systems, digital services, autonomous agents, and API-driven interactions are all placing new demands on network performance. As more data moves across enterprise systems, latency, memory, compute, and connectivity become more strategically important. Johal notes that during AI inference, latency is especially critical, making the network, chips, CPUs, and memory all part of the same infrastructure story. Johal also frames the issue through systems economics. Enterprises are not simply buying more technology for the sake of modernization. They are being forced to ask whether cloud, AI, on-prem infrastructure, and automation actually pencil out in terms of total cost of ownership, return on investment, and operational value. For MSPs, channel partners, and technology providers, that creates an opportunity to help customers make better architecture decisions, not just consume more tools. The podcast closes with a look ahead to a future conversation on token economics, AI infrastructure costs, and where MSPs and channel partners can find real business opportunity as enterprise technology becomes more automated, more data-intensive, and more dependent on resilient network infrastructure. Editor's note: This podcast was recorded at Cisco Live in Las Vegas and is being posted later. With time, the conversation has become even more notable. Johal's central point — that the network is “hot again” — has only gained relevance as AI, automation, cloud infrastructure and real-time digital services continue to place new pressure on enterprise networks. Learn more: Stackpane at stackpane.com

Join us as Dave walks through what it actually takes to build custom AI agents from scratch - not theory, but real projects he has shipped for his family, his work, and his community. Dave shares how he used Kiro and Claude to solve real problems: normalizing flood-damaged library inventory data, automating AWS well-architected review collateral, building a room-cleaning task agent for his 12-year-old, planning family menus with Apple Calendar integration, and post-processing live concert recordings. You will learn how agents reason and take action, when to reach for a Kiro power versus a simpler automation, how MCP servers connect agents to real-world tools, and practical strategies for keeping agents accurate without burning through tokens. Timestamps 0:00 Welcome & Introduction 7:57 Dave's Background and How He Got Started with Agents 13:00 The Library Flood Story - First Real-World Agent Use Case 16:00 AWS Well-Architected Review Automation 17:09 What Are Kiro Powers and MCP Servers? 22:13 Kiro Pricing and Bedrock Integration 28:13 Live Demo - Room Cleaning Agent with AWS Rekognition 41:24 Family Meal Planning and Apple Calendar Integration 44:27 Automating Live Concert Recording Post-Processing 52:31 Getting Started - Dave's Recommendations for Beginners How to find Dave: https://www.linkedin.com/in/dave-stauffacher/ Links from the show: https://kiro.dev/

Join us as Mike Fiedler (AWS Hero, PyPI Safety & Security Engineer, Python Software Foundation) makes the case for eliminating long-lived credentials from your release workflow - before an attacker does it for you. Mike walks through the real-world incidents that motivated Trusted Publishing, how OIDC-based short-lived tokens work under the hood, and the step-by-step process for setting it up in GitHub Actions. You'll learn how the 2024 Ultralytics compromise was forensically investigated thanks to Sigstore attestations, why that API token in your repo is just a password with a fancy hat, common pitfalls that will have you debugging for four hours, and why deleting your old token after setup is the step everyone forgets. PyPI went from 10% Trusted Publishing adoption in February 2024 to 36% today - this episode is how you become part of that number. Timestamps 0:00 Welcome & Introduction 4:00 Mike's PyCon US World Tour Recap 8:00 The Scale of PyPI: 13B Requests/Day & 36% Adoption 12:09 Why Long-Lived Tokens Fail: Four Attack Models 16:47 Case Study: The 2024 Ultralytics Compromise 21:44 What is Trusted Publishing? OIDC Explained 27:04 How the GitHub Actions Flow Actually Works 34:12 Other Registries: npm, RubyGems, crates.io, NuGet 36:34 Common Pitfalls & Debugging Tips 42:29 Provenance & Sigstore Attestations 44:22 The Step Everyone Forgets: Delete Your Old Token 47:06 Migration Guide & Getting Started This Week How to find Mike: https://www.linkedin.com/in/miketheman/ https://www.python.org/psf-landing/ Links from the show:

Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

Join us as Dale Orders (AWS Community Builder, four-time All Builders Welcome participant from Australia) walks through everything you need to know about getting to AWS re:Invent completely free - flights, hotel, conference pass, and more. Dale shares her personal journey from being rejected the first time to attending four AWS conferences through the All Builders Welcome grant program, including two as a mentor. You'll learn the exact eligibility criteria, what the grant actually covers (flights, accommodation, Uber vouchers, a prepaid Visa card, and a free AWS exam voucher), how to write an application that stands out, and the one thing that will get yours rejected immediately. Dale also covers what happens after you're accepted, how to handle the visa process if you're outside the US, and a full list of other tech conference grant programs beyond AWS. Applications typically open in late June - this episode is your head start. Timestamps 0:00 Welcome & Introduction 4:11 What is the All Builders Welcome Program? 8:03 Dale's Journey: Rejected Once, Accepted Four Times 11:07 Eligibility Criteria & Who Should Apply 15:49 The #1 Thing That Will Get Your Application Rejected 16:03 Everything the Grant Actually Covers 17:42 How to Apply & Timeline 18:41 Writing a Winning Application 35:18 Visa Process Warning: Don't Ignore This 38:41 Other Tech Conference Grant Programs & Wrap-up How to find Dale: https://www.linkedin.com/in/dale-orders/ Links from the show:

Broadcom just delivered another strong earnings report for Q2 fiscal 2026, and the stock fell more than ten percent. CSI breaks down exactly why that happened, what it means for long-term holders, and whether anything has actually changed in the fundamental thesis for one of the most important companies in AI infrastructure.Broadcom has compounded its enterprise value at over fifty percent annually for five years. AI semiconductors now represent roughly three-quarters of the semiconductor solutions segment, which itself makes up the majority of nearly forty-eight billion in trailing twelve-month revenue. Free cash flow hit a record dollar amount this quarter at a forty-six percent margin, still climbing toward its near-fifty percent record high.So why did the stock sell off? The short answer is that Wall Street wanted a raise in 2027 guidance, specifically whether Broadcom's forecast of over one hundred billion in AI semiconductor revenue for fiscal 2027 would be revised higher toward two hundred billion. CEO Hock Tan declined to update that number, and without a concrete revision, earnings expectations stayed flat.Infrastructure software, the VMware segment, is now a cash cow with sub-ten percent growth. The growth engine going forward is AI semiconductors and networking. Chip Stock Investor's position is unchanged, continuing to hold Broadcom as a core AI data center infrastructure name.For in-depth stock research and the Semiconductor Insider membership, visit chipstockinvestor.com. Use fiscal.ai/csi for 15% off any paid plan.

AI infrastructure is breaking the old data center model.In this episode of Liftoff with Keith, I sit down with Lukas Gentele, CEO & Co-Founder of vCluster Labs, to unpack what it really takes to operate GPU infrastructure at scale in 2026.As AI workloads explode and neoclouds race to meet demand, Lukas and his team are building the operational backbone for modern AI clouds — from managed Kubernetes and tenant isolation to automated node provisioning and GPU lifecycle management.We discuss:Why traditional data center assumptions are collapsing under AI pressureWhat's fundamentally changed since the VMware eraHow an early partnership with CoreWeave shaped vCluster's trajectoryAnd the one mistake AI cloud operators are making right now that could hurt them over the next 18 monthsIf you care about AI infrastructure, GPU economics, hyperscaler strategy, or building category-defining platforms — this conversation is essential.Sponsor Info: We are strategic business advisors with decades of leadership experience and a proven track record of driving businesses' growth. We specialize in creating custom-tailored strategies to introduce your company, drive growth, build leadership teams, and ensure companies implement appropriate compensation programs. Our mission is to utilize our expansive network to benefit your company https://www.compass-strategic-advisors.com/ Connect with Lukas Gentele: Website: https://www.vcluster.com/ LinkedIn: https://www.linkedin.com/in/gentele/ Subscribe for more founder insights and hit the bell for notifications! Follow us on our channels for exclusive startup content and behind-the-scenes insights from interviews like this one. Spotify: https://open.spotify.com/show/3cFpLXfYvcUsxvsT9MwyAD?si=f5a14e779777487d Apple Podcasts: https://podcasts.apple.com/ca/podcast/liftoff-with-keith-newman/id1560219589 Substack: https://keithnewman.substack.com/ Newman Media Studios: https://newmanmediastudios.com/ LinkedIn: https://www.linkedin.com/company/liftoffwithkeith For sponsorship inquiries, please contact: sponsorships@wherewithstudio.comFrom the Host: A special shout-out to our Great Host of the Ignite Studios: https://www.ignitegtm.com/ and Producers of AI Infra5 @Plug and Play World, HQ in Sunnyvale, CALiftoff is sponsored by a strategic consulting firm and the M&A specialists at Compass Strategic Advisors - https://www.compass-strategic-advisors.com/ and The GTM Firm - https://www.thegtmfirm.com/

AI subscriptions are becoming as essential as internet bills - and just as expensive. The vBrownBag gang takes a hard look at the real cost of LLMs and what happens when the free ride ends. Chris, Shala, and Damian dig into the Anthropic pricing plot twist, why AI data centers consume 10x the power of traditional racks, the DeepSeek distillation controversy, and what happens when the first hit's free phase ends. You'll learn practical strategies for reducing token burn, why local models are becoming a viable cost escape hatch, how to pick the right model for the right job, and why blindly using Opus for everything is lighting money on fire. This is the unfiltered conversation every AI practitioner needs to have - before the subsidies disappear and the real bills arrive. Timestamps 0:00 Cold Open: Get These Darn Kids Off My Lawn 1:27 Chris's Big News: Leaving IBM for Six Feet Up 8:09 How Many AI Subscriptions Do You Have? 16:41 Stack Overflow Is Dead, Long Live Claude 17:12 Don't Just Blindly Copy and Paste (AI Edition) 31:00 Anthropic Gross Margin 2025: Negative 53% 35:30 When Token Costs Exceed a Junior Dev's Salary 42:02 Find the Model That Fits the Job 46:11 AI Multitasking Is a Lie (Just Like Humans) 49:05 We Are Uniquely Bad at Making Money Off This Show 53:19 Supply Chain Attacks and GitHub Actions 54:45 Did We Solve Anything? Yes. No. Maybe. 55:58 Grateful for Friends & Wrapping Up Links from the show:

Join us as Brian Hough (CEO & Founder of Tech Stack Playbook, AWS Hero) gets brutally honest about the state of tech hiring and what skills developers actually need to survive - and thrive - in the AI era. Brian walks through his frontline perspective on why tech layoffs aren't about skills - they're about market economics - and what that means for engineers trying to stay relevant. You'll learn which roles are actually hot right now (ML engineer, AI engineer, cloud architect, full stack dev), why companies want utility players who can build end to end, how to use social media and building in public to get quietly hired, and why the engineers who thrive will be those who can go from vision to deployed system. Brian also covers practical strategies for positioning yourself before the next wave hits, including using roadmaps as a personal curriculum and leveraging AI as a career accelerator rather than a threat. Timestamps 0:00 Cold Open 0:11 Welcome & Introduction 2:16 Taking Vibe Code to Production-Grade Systems 3:01 Brian's Update: Dog Feeding & Building Internal Tools 8:05 Mac Maximus: Building on AWS EC2 Mac 9:49 Let's Get Into the Presentation 10:10 Agenda Overview 11:11 Is Anyone Actually Working Less Because of AI? 12:52 What Happens When You Don't Understand What You Built 20:10 AWS Root Account Horror Story 23:24 The Skills You Need in 2026 24:09 Tech Scene Overview & Job Posting Divergence 26:19 What Companies Actually Want: Utility Players 28:00 Hot Roles: ML Engineer, AI Engineer, Cloud Architect 32:00 The Layoff Reality: It's Market Economics, Not Skills 40:49 Now Is the Best Time to Start a Startup 42:31 Roles & Salaries Breakdown 43:55 This Advice Is for Everyone - Not Just Job Seekers 48:01 What's Getting Replaced vs. What's Irreplaceable 49:14 How to Become an Irreplaceable Engineer 52:42 Maximum Viable Product 53:02 Building in Public & Social Media Strategy 55:32 Positioning Yourself Before the Next Wave 56:19 Brian's Closing Thoughts 57:03 AI on Your Resume = Getting Hired Fast 58:12 Using Brian's 30-Day Plan as a Claude Curriculum 59:55 Platform Engineering Hot Take 1:03:05 Wrap-up & See You in Seattle How to find Brian: https://brianhhough.com/techstackplaybook Links from the show: https://roadmap.sh/python https://roadmap.sh/ai-engineer https://roadmap.sh/machine-learning https://roadmap.sh/ai-agents