L8ist Sh9y Podcast

In this episode, we continue our dive into the changing architecture of IT infrastructure and look at how containers and container platforms are changing. We also look at the fundamental nature of what people want to buy, accelerated by VMware Broadcom, making virtualization platforms much less attractive, and the shifting landscape here. This is work that is based on a presentation that I've been giving around the shift towards open shift virtualization and Kubernetes in general. Transcript: https://otter.ai/u/BnYKzI0zzOLqqWi45vck9gMwsDk?utm_source=copy_url

In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems - keeping VMs but with what changes are necessary to make a containerized virtualization platform dominant instead of a virtualized virtualization platform. Reference: https://kubevirt.io/user-guide/architecture/ https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization

This episode of the TechOps series goes into high availability troubleshooting. Not just high availability, not just troubleshooting, but actually talking through what it takes to manage and maintain and fix HA systems. This is part of a longer discussion we've been having and so there's some really interesting ideas in the middle of these discussions that I hope will shape your thinking as you build high availability systems, diagnostics and troubleshooting for people who are in high availability very complex environments. Transcript: https://otter.ai/u/wM__4w1YIzZnhVdgLuXLsDDu0Ng?utm_source=copy_url References: https://status.openai.com/incidents/ctrsv3lwd797

We review 2025 predictions today and dig into why I think this year is going to be both boring and terrifying for a lot of enterprise IT leaders. That, of course, spans Amazon, Reinvent storage, VMware, AI, and Agentic AI - we run the gamut on what is coming and why this is actually going to be a very challenging year. Transcript: https://otter.ai/u/H6UvLC-r2zmBO9A5jffUkhnjr5o?utm_source=copy_url Reference: https://zenoh.io by ZettaScale

In this episode, we dive into all things quantum computing, starting from the idea that Microsoft managed to put a new quantum silicon chip together. We go all over quantum from compute to entanglement and everything in between. Transcript: https://otter.ai/u/Tt282iKZEkt5nL3C3zCDf_-pEIE?utm_source=copy_url References: https://naumanahmad86.medium.com/is-the-mac-mini-m4-cluster-the-ultimate-machine-for-running-large-ai-models-0b6c6a2d9a18 https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/ https://arxiv.org/abs/2502.19118

We step back in this episode of our Tech Ops series and talk about cloud self managed infrastructure and how you balance the competing concerns. We started from a report that RackN had commissioned talking about on premises Kubernetes, and mixing that into your IT infrastructure. Can you have a cloud broker? Can you do multi cloud, some sort of tried and true topics for cloud consideration, but through a new filter and through this repatriation idea of mixing and matching your IT Infrastructure? Transcript: https://otter.ai/u/FKGuQpV-5bQFVASAYDhNQJtuoKM?utm_source=copy_url Resources: https://store.repebble.com/ https://rackn.com/2025/03/18/ready-for-kubernetes-on-bare-metal/ https://www.reuters.com/technology/cybersecurity/google-agrees-buy-cybersecurity-startup-wiz-32-bln-ft-reports-2025-03-18/ https://gabrielsimmer.com/blog/kubernetes-plus-oneplus

We springboard from DeepThinking AI and have a robust conversation about what impact DeepThink is having on the industry. We also discuss where we see things going into the dilemma of people building AI infrastructure and working to do that quickly, robustly and with strong governance. This is necessary to ensure that they can quickly update and manage that AI infrastructure that they're spending so much money to build, and this leads into a broader conversation about virtualization, containers and open shift. Recorded Jan 30, 2025 Transcript: https://otter.ai/u/79JxdYOiXUoSS44pYP9bnZc4xN0?utm_source=copy_url Reference: https://www.perplexity.ai/search/provide-an-extensive-and-detai-HmRlePfiTQ6LJG_X0SlB5g#8

We deep dive into something seemingly very small, but with a lot of repercussions for how you manage and run a data center, and that is test scripts for servers. As you're going through a production cycle or a provisioning cycle, how do you test? What do you test? This topic was from a Reddit thread that we answered and then had a whole hour conversation about just how important and impactful this type of script is. Transcript: https://otter.ai/u/Cb3yac8JHvlM2yqh72bA_CBPWgs?utm_source=copy_url

Today we dive into RackN high availability technology and what we did to build consensus based raft HA capabilities directly into Digital Rebar. This is one of those episodes where we are talking specifically and only about Digital Rebar, so it is a vendored conversation from that perspective. If you are building HA systems, or are interested in how HA systems work, this is a great session to learn firsthand from our experience! Transcript: https://otter.ai/u/9lA9djczp5GkJbj12k0EzFUXw4g?utm_source=copy_url

This is one of those fun conversations where we're really diving not just into the tech but the enterprise consumption of the tech and how people are thinking about it. How does technology like Kubernetes evolve and get used in ways that the community is not thinking about and find a whole new path for adoption and commercialization? If this is going on in your organization, we want to hear from you. We want you to be part of the conversation, because this is a really important transition point for the industry, for people questioning their VMware consumption, and for people looking to expand their Kubernetes footprints. Transcript: https://otter.ai/u/nEzH4t1JDEa51fvQFcWcFzMXmkE?utm_source=copy_url

We talk about current events, the acquisition of data stacks and the closing of the HashiCorp acquisition by IBM. Later, we dive into the productivity of AI and what's going on - are companies really getting the benefits that they expect from AI chat bot integrations and what the challenges are? We touch base on a little bit of something more infrastructure focused, where I give a preview of work I've been doing on separating Kubernetes virtualization from Kubernetes development use cases, which is something that we will be talking about more in the future. References: https://www.windowscentral.com/software-apps/microsoft-just-put-this-controversial-notepad-feature-behind-a-paywall https://www.ibm.com/new/announcements/ibm-to-acquire-datastax-helping-clients-bring-the-power-of-unstructured-data-to-enterprise-ai-applications https://www.youtube.com/watch?v=Ioc3r70HNLM https://www.linkedin.com/posts/dhinchcliffe_major-agentic-ai-news-for-cios-this-week-activity-7303122989498138624-jR2R/ 20250227

The cloud2030 Tech Ops series is an ongoing discussion for us to create what I think of as 200 level content for tech and operations leaders, exploring really complex, deep topics in a thoughtful way to really extend your knowledge base and capabilities in the data center and infrastructure space. Today's episode talks about gitops and immutability, and what we're doing here is connecting together the operational concepts between controls and desired state communications and how that gets executed in infrastructure in an operations sense. Rather than a developer approach, this takes an operations approach. So if you are interested in how to manage immutability and what that means in infrastructure, this discussion is for you.

In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems - keeping VMs but with what changes are necessary to make a containerized virtualization platform dominant instead of a virtualized virtualization platform. Reference: https://kubevirt.io/user-guide/architecture/ https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization

We discuss Symbolic AI via LLMs for advanced reasoning in manufacturing and real-time analytics. Key points included leveraging symbolic representations and algebraic equations, utilizing knowledge graphs to improve model accuracy, and exploring agentic AI frameworks with specialized agents working together using swarm intelligence principles to tackle complex problems like anomaly detection and process optimization. The group also discussed the challenges of building trust in AI systems and the importance of capturing and storing questions and answers to build a knowledge base.

We revisit edge infrastructure and the motivations behind building and managing edge infrastructure with an unusual take. In this case, we ask ourselves if all of these edge devices are becoming more software defined or becoming more standardized, off the shelf component tree. And will that change how we look at managing and running edge infrastructure? Will we shift compute and operations processes into these ever smarter devices? The answer is going to surprise you. Transcript: https://otter.ai/u/tGIcIC1bijvaW4OkJNm9YCEBdOE?utm_source=copy_url

We explore the certificate issue in which secure boot is potentially compromised because of certificates that have been compromised in ways they could be easily used as for an attack vector. This is a very significant flaw and something that should be on your purview and radar to fix. We're going to talk about what the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. This is a really important episode for anybody running or managing desktops, data centers or infrastructure of any type. Transcript: https://otter.ai/u/59uYpJpra5SutJOpEB_bPZ2CUqI?utm_source=copy_url

Today we go back to our book club and talk about Nonviolent Communication by Marshall Rosenberg. It's really foundational work that has elements pulled into a lot of other books that we've already discussed, and I think it's essential for people who are looking to be better leaders. It's also great to learn how to communicate with more empathy, to frame and phrase questions and engagement that explains your feelings, needs and intents, and hear other people's needs. If that sounds a little bit too foo-foo for you, bear with me. This is a really, really, really powerful communication technique. Transcript: https://otter.ai/u/2p1NpJOZbuLxixQVOKETzFZWk8A?utm_source=copy_url

We dive deep into the current state of the venture capital (VC) market, exploring the significant shifts and challenges faced by entrepreneurs and investors alike in the post-COVID landscape. Key topics discussed include: The decline in the allure of VC funding and the impact of "pump and flip" models The market volatility and caution among venture firms due to economic factors The changing focus of VCs towards sectors like healthcare, fintech, and deep tech The challenges in building sustainable, billion-dollar companies The rise of corporate venture capital and strategic investments The potential for rational valuation adjustments and market consolidation The importance of clearly articulating the problem being solved and achieving product-market fit The conversation provides valuable insights for founders navigating the evolving VC ecosystem, as well as investors seeking to adapt their strategies to the changing market dynamics. Join Rob and Rich as they explore the future of VC and the strategies needed to succeed in this dynamic landscape.

We dive deep into the technical details of BootC - a Red Hat-led technology that uses container-like definitions to describe machine boot processes. BootC is an important development, especially as companies embrace containers and seek a unified approach to machine configuration. RackN CTO, Greg Althaus, provides an in-depth overview of how BootC works, its key capabilities, and the potential benefits and challenges for operations teams. They explore topics like BootC's relationship to containers, the concept of immutability, different deployment methods, and the operational considerations around managing BootC at scale. This conversation offers a balanced, non-Red Hat perspective on BootC, highlighting both its technical merits and the significant operational work required to successfully adopt and integrate it. Listeners will come away with a nuanced understanding of this emerging technology and the factors organizations should weigh as they evaluate BootC for their infrastructure.

This episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems downstream from eventing and logging systems. Key topics include the trade-offs between real-time and delayed event processing, the principle of least privilege, and strategies for handling event buffering and dropping. The conversation also touches on security concerns related to event and log data. The episode concludes with plans for future discussions on adding events and logging to scripts to make them more useful.

We dive deep into logging, tracing, metrics, observability, with a specific filter for automation and systems and infrastructure. There's a real challenge here of how you capture information from a running system in a way that provides the right information at the right time. That fundamentally is the question that we are working to answer throughout this really fascinating discussion about logging. Transcript: https://otter.ai/u/msNO2gn1b0FP2lK7rSfplQrCrPQ?utm_source=copy_url

Reference: https://en.wikipedia.org/wiki/Pebble-bed_reactor Do nuclear power and a potential renaissance in nuclear power, driven by the voracious power demands for data centers, have the potential of becoming accepted, local and an economic boom for communities? If you're scratching your head thinking, no way, maybe this conversation will change your mind. Enjoy! Transcript: https://otter.ai/u/yUJapxBhVAhGnPUKgJDMqEJNt8I?utm_source=copy_url

This TechOps episode explores the challenges of processing events and logs in technical operations. The discussion covers the importance of understanding the intent and purpose of building systems downstream from eventing and logging systems. Key topics include the trade-offs between real-time and delayed event processing, the principle of least privilege, and strategies for handling event buffering and dropping. The conversation also touches on security concerns related to event and log data. The episode concludes with plans for future discussions on adding events and logging to scripts to make them more useful.

In this episode, we dive deep into the emerging world of building and training small language models. We'll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we'll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations. Transcript https://otter.ai/u/xJ5T-x70WUFQ55ZAsRQr57q6zwE Reference: https://www.composabl.com/

This podcast episode explores the challenges of process improvement in IT operations, using examples from data centers, automotive, and cybersecurity. The discussion covers the slow evolution of secure boot, the difficulties cloud providers face in translating their processes to the broader market, and the emergence of vehicle-to-anything ecosystems. The group delves into the need for standardization and security in vehicle ecosystems, as well as the policy management and automation challenges enterprises face. The conversation also examines the balance of trust in technology versus human expertise, particularly around the use of AI and the risks of generative AI. The CrowdStrike incident is analyzed, with debate around the responsibility of CrowdStrike, Microsoft, and Delta's operational controls. The impact on cyber insurance and the need for broader risk management approaches are also discussed, highlighting the interconnectedness of process improvement and risk management, and the call for greater industry collaboration to address these challenges. Transcript: https://otter.ai/u/93JhNjmekqf0ttX21gsupz4OeBY?utm_source=copy_url

In this episode, we continue our TechOps series, diving deep into the topic of container management. As containers become increasingly mainstream, the need to effectively manage and orchestrate these lightweight, purpose-built environments is crucial. We'll explore the distinctions between container management and orchestration, discussing the different tools, techniques and trade-offs involved. We'll also hear insights from the RackN team on how they've approached container lifecycle management within their own infrastructure management platform, Digital Rebar. This is a rich discussion that touches on everything from Kubernetes to system design trade-offs. So let's jump in and learn how to wrangle those containers!

In this episode, we dive deep into a recent and highly sophisticated SSH intrusion attack that was discovered in the Linux kernel. We'll discuss how the attackers were able to inject a backdoor into a critical compression library, leveraging social engineering tactics to become a trusted maintainer over several years. The attack was designed to bypass security checks and evade detection, even from advanced techniques like eBPF monitoring. We'll explore the technical details of how the backdoor was triggered, the potential impact on various Linux distributions, and the broader implications for software supply chain security. This incident highlights the challenges of maintaining trust in open-source projects and the need for robust security measures to protect critical infrastructure. Join us as we unpack this fascinating case and consider the lessons it holds for the future of secure software development.

A software bill of materials is the idea that we can define and document exactly what goes into a system. We look at governance today and SBOMs as we put it together, both from a software and an operation side. From an operations perspective, it truly is a big challenge. This conversation is a little bit more theoretical than some of the TechOps discussions have been. Enjoy! Transcript: https://otter.ai/u/VXWwg-ltdlwYBFYI_jNCOUmJz6M?utm_source=copy_url

SSH and Secure Shell is one of those topics that people take for granted because it is a ubiquitous way to log in and access systems. True to form for the TechOps series, though, we break that down into much more detailed and granular components. We talk about how to secure it and what best practices are. We also discuss how to use it for tunneling, or, more specifically, not use it for tunneling, and why all of this matters to your operations environment. Listen to what new things we're doing that avoid having to have network access at all. Transcript: https://otter.ai/u/XSRBfnifZOF0-nlNU5Vo_hyoSVU?utm_source=copy_url

Is high availability always a good thing? Today our discussion takes an operations perspective. We look at places where you were over or under committing high availability, where you were confusing disaster recovery for high availability, and perhaps even securing the wrong service or looking at it the wrong way. We cover all of these scenarios with practical, hands-on examples that I know you will get a lot out of. This is good prep for talking about HA clusters, because the idea of coordinating and monitoring systems is core to HA and HA clusters. In our journey with RackN, a lot of customers who thought they needed very aggressive HA systems, once they are confronted with the overhead of maintaining an HA system, have to ask if you really need it. We started with an active/passive HA implementation using third party monitoring to monitor for when the system failed and spin up the second system, creating a live streaming back up to the failover system. Transcript: https://otter.ai/u/vOVZadHvRTFCZGqcI2DC3nQzDgY?utm_source=copy_url

We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data. If you are interested in manufacturing or advanced applications of AI and digital twins - which is where we create accurate representations of physical items - this episode will hit all of your favorite topics! Transcript: https://otter.ai/u/xNB0GZQXB4hQMly991Wk1MwFhjw?utm_source=copy_url

We explore the UEFI certificate issue in which secure boot is potentially compromised. Certificates that are included in most UEFI BIOSes have been compromised in ways that could easily be used as an attack vector, a very significant flaw and something that should be on your purview and radar to fix and patch. We're going to talk about what the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. An important episode for anybody running or managing desktops, data centers or any infrastructure of any type. Transcript: https://otter.ai/u/H15Z2NZDom8Hta8gHJn2mQwziFM?utm_source=copy_url

We discuss the impact AI and data sovereignty data protection will have on platforms, consolidated management of your data like in Office by Microsoft or Google, on premises, and systems. This includes a whole bunch of data that you will want to use to train AI models to improve your day to day operations, but you probably don't want a lot of vendors pulling that data apart and transiting it. We have a fascinating discussion about how the market is impacting these forces. Transcript: https://otter.ai/u/gpyotjoYz5ev-1Q2yvokQi--ipg?utm_source=copy_url

This episode is one of our book club episodes starring John Walpole, who wrote the Two But Rule, which is very tongue in cheek while also very serious about momentum thinking and using a negative bouncy discussion pattern. I like to think of it as a bouncy discussion pattern to really explore ideas and drive ideation in a positive way by asking and challenging people's ideas in a constructive way. Transcript: https://otter.ai/u/2-CzhoZXo1U9URwEc3xnrV-f6-w?utm_source=copy_url

This episode explores the intersection of infrastructure automation and security through the lens of the Crowd Strike outage. We'll discuss the tension between maintaining stable, reliable data center infrastructure and the need to embrace change and innovation. Recent events like the CrowdStrike outage demonstrate the paradox that infrastructure teams face. We'll dive into the importance of having multiple control planes and standardized processes that can adapt to rapid industry changes. Transcript: https://otter.ai/u/Wos9IOPfpSGPOYNT-A4muQccA5w

We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future. In this case, we used up a lot of time before this recording talking about Kubernetes and what's next for Kubernetes and containers, as well as how that ecosystem has been shaping up. This conversation is about the wall gardens that could be broken down, and in some cases, have actually been built taller because of containerization and Kubernetes and infrastructure and how infrastructure works. After that background before going into the discussion, we pick it up on how these ecosystems and walled gardens are self reinforcing as well as chinks in the armor that will allow us to go back to interoperable standards. Transcript: https://otter.ai/u/oZiuGGiJwjsvycVosq4FA7-r4gc?utm_source=copy_url

Power, electrical power, and how the upcoming trend of AI data centers is intersecting as a load with generation, storage, transportation, Bitcoin mining and mining all use power. These are all highly interconnected in how we use and manage the grid, but are using power in different ways. Transcript: https://otter.ai/u/mszdgZE5_TG_H6lywY6S8-RqPsw?utm_source=copy_url

Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices. But they're making a comeback, in part because they're very fast and efficient, but also because with AI tooling and digital twinning, we can design these circuits much more effectively. With 3D fabrication we can actually create these circuits more effectively if they're mechanical. Transcript: https://otter.ai/u/WRIb_V_hWt9KBcbCXYX6z_dD1Ps?utm_source=copy_url

We revisit where we are with Crypto - more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong. Transcript: https://otter.ai/u/1je6MzCQuv0U_9_MOaQtDNMWAQw?utm_source=copy_url

Martez Reed and I have an in depth conversation about the challenges of propagating technology inside of enterprises, this core challenge of selling silos and individual technologies. What Martez describes as beneficial tool sprawl versus building up systems and integrating things and end to end technology. This is what I've been calling infrastructure pipelining. We break down what's going on in the street related to Open Source technology, Kubernetes, other aspects of what's happening and how things fit together in an interesting and dynamic way. Transcript: https://otter.ai/u/2M4P8U1haMsoT2ahg3s4V4_sf-A?utm_source=copy_url

We dive into Shoshana Zuboff's book The Age of Surveillance Capitalism. Full of amazing insights, predictions and really insightful work, you can literally scan every page and read something fascinating. You don't need the book to follow today's discussion. We start by watching Apple's new iPad ad before we dive into the book, and I highly recommend that you watch it as well, link in the show notes. It's a good tie into the surveillance capitalism discussion and I think you will enjoy our commentary about it. References: https://www.theverge.com/2024/5/8/24152236/apple-ipad-pro-commercial-artists-ai https://www.amazon.com/gp/product/1541758005/ref=ppx_yo_dt_b_search_asin_title Transcript: https://otter.ai/u/Y-bm0QL3Vnfjcy4hgmTIiqkUpNU?utm_source=copy_url

How do you define infrastructure to support inferencing? Today we discuss that and more, including training. We walk through what it's going to take to understand what to buy, what to build, how to build, how to put it together, and how hard it is to actually know what goes into the infrastructure behind an AI cluster. Importantly, exploring why we don't have the answers is the first phase of understanding. Transcript: https://otter.ai/u/2SIZyiLDtfyi_zGrol8qHvHc0gA?utm_source=copy_url

We continue our TechOps series, this case diving deep and cheap into out of band management. One of the things about out of band management is that it quickly turns into an alphabet soup of protocol names, vendor names, specific pieces and even the way we talk about out of band management. We have different acronyms for the same action. In this conversation. Greg Althouse reckons CTO and my co-founder explores lessons learned and things that you need to understand for technical details and a really core understanding of how to build BMC integrations. We even cover why it's so hard to do this well. Even if you have no plans in ever touching an out of band interface, the architectural lessons will help you. Transcript: https://otter.ai/u/Feahh05PQI-1fxVXDRuiFDkgt5M?utm_source=copy_url

System D is our topic for today discussing system processes, how do you manage and control processes, services, and fundamental components of Linux operating systems. In this discussion, we cover how to think about it, how it works, alternatives, process controls, and even how they get applied to containers. Containers were a nice bridge from our previous discussions when we were talking about container management systems. If you are interested in Linux and Linux management, Linux automation, this is a good episode for you! Transcript: https://otter.ai/u/KCK3f95lbUEAEzLgA60k-HbDlGk?utm_source=copy_url

Edge technology versus OT was the focus of discussion today, and in this conversation we cover infrastructure information technology versus operations technology, and the ongoing dilemma of edge sites specifically. This includes factories, retail locations, data center technology and 10th standard cloud with operational tech. Operational tech being vendor locked, narrowly controlled siloed technologies versus general purpose technology. In this case, we're talking about OT as specific vendor locked islands of technology versus IP, which is multipurpose, multifunction shared infrastructure technologies. This podcast addresses the tension and how to resolve it between those two technology approaches. Transcript: https://otter.ai/u/8-ufJsQAb0yrCXkZTBoUM8Detdc?utm_source=copy_url

In the wake of the Baltimore Key Bridge collapse, we discuss how we can improve resilience in the systems that we manage.

DHCP PXE is our subject today. We cover UEFI BIOS and all of the things necessary to do network installs of servers. This incidentally includes thin clients, PCs and other network switches. Specifically, we talked about the process of having secure and robust network provisioning. We go through all the pieces that you need to know how the processes work, both in legacy and in modern current systems Transcript: https://otter.ai/u/F1u-2ipyfIZ93yp5qdzcpArLtOg?utm_source=copy_url

This episode really highlights the danger of contributor burnout and overload. But it also shows that we're not very good as an industry at sustaining work. Today we dissect what the XZ SSH intrusion attack is, how it happened, what the social engineering was, and the pressure that involved to make that happen. Transcript: https://otter.ai/u/kRqADDwa6DmoZcnQEmqQD1UaxZ8?utm_source=copy_url References https://www.openwall.com/lists/oss-security/2024/03/29/4 https://news.ycombinator.com/item?id=39865810 https://arstechnica.com/security/2024/04/what-we-know-about-the-xz-utils-backdoor-that-almost-infected-the-world/

We explore the synergy of humanoid robots and LLM AI. This episode delves into how robots can learn and interpret their environment in human-like ways, based on a key video listed below. Whether or not you view the video, the discussion offers deep insights into AI's evolving role in human interaction. Transcript: https://otter.ai/u/VqiTSDMDLAKcaF1XuAH8ExhJnLE?utm_source=copy_url References: https://youtu.be/Sq1QZB5baNw?si=dAxLQIws3xkra_mf https://spectrum-ieee-org.cdn.ampproject.org/c/s/spectrum.ieee.org/amp/prompt-engineering-is-dead-2667410624 https://arxiv.org/abs/2402.17764v1 https://www.emergentmind.com/papers/2402.17764

We delve into spatial computing today and discuss Apple's Vision Pro face computer. Everyone in the club2030 group is very interested in augmented reality and virtual reality, and the release of thApple Vision Pro, seems to meet many thresholds that make us surprisingly optimistic about its potential. We discuss aspects we like as well as what we thought was going to be a challenge. Whether you are already watching this space or are new to this concept of a spatial computer from Apple, you'll get a lot out of this conversation. Resources: https://www.barnesandnoble.com/w/rainbows-end-vernor-vinge https://www.tomsguide.com/reviews/rabbit-r1 Transcript: https://otter.ai/u/h61-B-2G9RdWT4gQuguLLDtkkx0?utm_source=copy_url

The compliance death curve is something I've been working on as an evolving concept that tries to explain how companies fight compliance governance and standardization efforts, something that is critical to platform team and infrastructure operations. Today we try to decompose some of the mathematics that I've been using into more universal, more easily understood components. We built a compliance flywheel that I found really fascinating which you can see an example of that work in our podcast description. It could also be helpful to check out my previously recorded compliance death curve talk that has been released. Resources: https://www.youtube.com/watch?v=4RUKsakKZI0 Transcript: https://otter.ai/u/k9q5ZZ81Hm-EAAtfkVVtKNNqXwE?utm_source=copy_url