Podcasts about Red Hat

Most entrepreneurs and leaders overlook a simple yet powerful skill that can propel their success in the AI age: storytelling. Daniel Pratl, a former CTO at Red Hat and innovator behind groundbreaking expertise-as-an-asset solutions, reveals how mastering the art of compelling narratives is no longer just an added skill—it's the top priority for navigating complexity and creating meaningful connections.This episode dives into how storytelling is transforming the modern landscape of business, from raising capital to building resilience in startup founders. Daniel shares how the top CEOs—Elon Musk, Sam Altman, and others—are winning hearts and minds through authentic storytelling, making technical prowess secondary to narrative finesse. You'll discover how AI has made storytelling more critical than ever, enabling individuals to unlock and monetize their expertise like never before.We break down practical frameworks and tactics: Daniel discusses the importance of articulating serendipity and human moments to resonate deeply with audiences. We explore the rise of "expertise as an asset," a new asset class defined by structure, verifiability, and sovereignty—giving individuals a chance to monetize their unique insights in a rapidly evolving AI-driven economy. Plus, learn why resilience, humility, and the willingness to embrace hard times are the secret ingredients of successful founders, especially those from humble beginnings.Understanding these concepts could be the difference between being left behind in a world overwhelmed by information and AI, or seizing new growth opportunities. If you're a founder, investor, or aspiring entrepreneur looking to stand out in a crowded, complex landscape, this episode offers the essential mindset shift you need. Discover how to craft your story, build credibility, and turn your expertise into a powerful, monetizable asset.Whether you're leading a startup or navigating your personal career in tech, these insights will help you communicate with clarity, authenticity, and influence—fueling progress and innovation in your journey. Don't miss this conversation with Daniel, a trailblazer shaping the future of expertise, storytelling, and AI.

In this episode of the HR business marketing podcast, A Better HR Business, Ben and his guest, John Barron, Co-Founder & CEO of GoChallenge, explore how a gamified movement platform is helping teams boost wellbeing, deepen engagement, and build stronger company cultures. GoChallenge is a science-backed HR tech platform that uses team-based movement challenges to improve employee wellbeing, prevent burnout, and strengthen workplace culture. It helps HR and People & Culture leaders increase engagement and build more connected hybrid teams through simple daily physical activity that fits into the workday. Unlike traditional fitness apps, GoChallenge is designed specifically for organisations - requiring no gym, equipment, or extra time outside work routines. Trusted by organisations such as Tirlan, DocuSign, Gartner, Red Hat, and Three Ireland, GoChallenge delivers measurable impact across wellbeing, performance, and retention. Users report reduced stress and improved productivity, while companies see stronger cross-team connections and alignment with ESG and CSR goals. The platform is easy to deploy at scale and is built on behavioural science to make workplace wellbeing both effective and engaging. You'll hear practical strategies for how to attract HR consulting clients, running a workplace consulting business, and business growth strategies for consultants. Whether you identify as HR, workplace, L&D, OD, recruitment, or people & culture, you'll discover real stories and actionable advice to attract clients, win contracts, and grow sustainably. What You'll Learn in This Episode: Insights on the power of movement-based challenges to build workplace connection and engagement How to use inclusive wellbeing programs to appeal to HR and people & culture leaders Lessons from GoChallenge's growth - scaling through values-led marketing, partnerships, and proven client results Episode highlights: The inspiration behind GoChallenge and the real obstacles to regular exercise. Building movement, motivation, support, and accountability into workplace initiatives. The role of meaningful workplace connection - why it's essential for wellbeing and performance. Employee stories: From workplace rivalry to authentic relationships through team challenges. How GoChallenge works for employers: challenge formats, inclusivity, and rewards. Creating a level playing field to boost engagement across all abilities. Bringing company values to life and examples of running challenges globally. Marketing and business development: blending conferences, LinkedIn, partnerships, and charity tie-ins. Outbound selling and value-driven messaging to busy HR professionals. Practical challenges of scaling, integrating with existing platforms, and keeping things simple for buyers. The role of internal comms teams and having a plug-and-play “playbook” for successful implementation. Marketing and Business Growth: John outlines a two-pronged approach to growing GoChallenge: attending conferences and events for traditional networking and lead generation, alongside leveraging the visibility of successful client challenges on LinkedIn, often with video content and charity partnerships. The GoChallenge team uses targeted outbound email, focusing on company values and pain points. They emphasize the importance of being easy to work with and integrating seamlessly with existing HR and comms tech stacks. Plans for further growth include partnering with benefits providers and health insurers for wider distribution. Resources & Links Mentioned: Company's website: www.gochallenge.com John's LinkedIn: www.linkedin.com/in/johnrbarron Thanks, John! Check out this B2B podcast launch service. About The A Better HR Business Podcast The A Better HR Business shares strategies, tactics, success stories, and more about marketing for HR consultancies and marketing for HR tech companies, and how to get more clients. Follow the show on Apple Podcasts or Spotify so you don't miss future episodes. For show notes and to see details of our previous guests, check out the podcast page here: www.GetMoreHRClients.com/Podcast HR BUSINESS GROWTH RESOURCES Get the new book - Grow A Successful HR Business Your Way Launch your own business podcast: B2B Podcast Agency VISIT GET MORE HR CLIENTS Want more clients for your HR-related consultancy or HR Tech business? Visit the Get More HR Clients website for articles, newsletters, podcasts, videos, resources, and more at www.getmorehrclients.com.

Garth Mollet, Senior Principal Product Security Engineer and Technical Advisor for Product Security at Red Hat, joins host Robert Blumen for a discussion of AI supply chain security. They start with the basics of supply chain security, including the key components of the AI supply chain, and how it differs from the conventional software supply chain. Garth discusses whether the attacks target model weights or inference, and describes the most common attacks and what's in it for the attacker, whether exfiltration, credentials, sabotage, or resources. The episode also considers SPIFFE, SPIRE, attestation, workload identity, and whether AI has the equivalent of "reproducible builds." Brought to you by IEEE Computer Society and IEEE Software magazine.

Building a Raspberry Pi powered Stream Deck, Redhat offers forever support, playing Silent Hill natively on Linux, and Cinnamon learned how-to Wayland?Video version of the show is available to Patrons, along with the Extended Chaos podcast featuring over an extra hour of LWDW content every week.⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠TIMESTAMPS00:00 Intro09:55 DIY Stream Decks20:38 Rent a Redhat26:43 Silent Hill running on Linux 33:57 Cinnamon learns to Wayland TOPICSPro Not Stream Deck https://interfacinglinux.com/2026/07/13/diy-raspberry-pi-powered-stream-deck-server/RHEL For Life (RTheren)https://www.heise.de/en/news/If-14-years-of-support-aren-t-enough-RHEL-for-eternity-11360882.htmlFog Simulator 1999https://interfacinglinux.com/community/linuxgaming/building-the-silent-hill-pc-port-on-linux/Cinnamon Waylandhttps://9to5linux.com/linux-mints-cinnamon-6-8-desktop-environment-will-fully-support-wayland

Mozilla is paying for Firefox to be on the front of Wrexham football shirts, SCO vs IBM might not be dead after all, Red Hat will support RHEL forever if you are willing to pay, OpenMandriva discovers why distros need good governance, Félim awaits his statue, and a quick Kagi update. News Wrexham AFC and Firefox announce a multi-year, front-of-kit partnership Zombie ‘who owns Unix?' lawsuit comes alive again Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date OpenMandriva Statement regarding attempted distribution sabotage KDE at 30 Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Mozilla is paying for Firefox to be on the front of Wrexham football shirts, SCO vs IBM might not be dead after all, Red Hat will support RHEL forever if you are willing to pay, OpenMandriva discovers why distros need good governance, Félim awaits his statue, and a quick Kagi update. News Wrexham AFC and Firefox announce a multi-year, front-of-kit partnership Zombie ‘who owns Unix?' lawsuit comes alive again Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date OpenMandriva Statement regarding attempted distribution sabotage KDE at 30 Support us on patreon and get an ad-free RSS feed with some early episodes See our contact page for ways to get in touch. RSS: Subscribe to the RSS feeds here

Josh welcomes Mo Duffy from Red Hat to chat about project Lightwell. The idea is to leverage the resources and understanding Red Hat has built up over the years to help deal with the deluge of vulnerability reports that are overwhelming open source projects. Mo does a really good job of explaining why this is fundamentally a people problem, not a technology problem. But it's a people problem we can probably use technology to help. It will be interesting to see where Lightwell goes in the next few years. The show notes and blog post for this episode can be found at https://opensourcesecurity.io/2026/2026-07-lightwell-mo-duffy  

In this episode IOWN Global Forum board members Chris Wright (Chief Technology Officer and Senior Vice President of Global Engineering, Red Hat) and Jefferson Wang (Chief Strategy & Innovation Officer, Cloud, Accenture) talk through the accelerating shift towards photonics-based networks and how this next-generation technology can help unlock the full potential of the AI economy. Replacing electrical-based connectivity with optics promises to drastically increase processing speeds, reduce latency, and lower power consumption for high-demand AI, cloud computing, and financial networks.

A red hat and stick is a symbol of what movement?  You may be surprised by the answer and equally astonished at the fact the...

The following article of the Tech industry is: 'Purpose-Driven Tech Is Key to Creating Value in the Hybrid Era' by Javier Cordero, Vice President and General Manager, Red Hat. 

I speak with Ricardo Noriega and Doug Smith from Red Hat about their experiments using VLLM Omni for video generation. Your journey to stunning videos starts here FlexClip is a simple yet powerful video maker and editor for everyone that helps users easily create compelling video content for personal or business purposes without any learning curve. https://go.chrischinchilla.com/flexclip For show notes and an interactive transcript, visit chrischinchilla.com/podcast/To reach out and say hello, visit chrischinchilla.com/contact/To support the show for ad-free listening and extra content, visit chrischinchilla.com/support/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This show has been flagged as Clean by the host. 01 Introduction In this episode I will describe how to calculate elapsed time in bash or other shell scripts. While this may sound like a very simple and basic thing to do, there is a slightly more complex aspect to it if you wish to calculate elapsed time to a higher resolution than one second. 02 There are many reasons for calculating elapsed time in a shell script. For example you may wish to simply report how long an operation took to run. Another reason may be that you are trying to speed up a script and need to calculate benchmark data to see how different alternative methods perform. 03 What may seem like a simple task gets a bit more complicated if you want to do it for multiple different operating systems even if they are all unix related, as we shall see. -------------------- 04 Operating Systems Tested For the purposes of this episode, I ran tests on the current version of the following operating systems. Alma Alpine Debian FreeBSD OpenBSD RaspberryPi OpenSuse Ubuntu 2604 Alma is a close copy of Red Hat that we can take as representing Red Hat style distros. -------------------- 05 Simple Low Resolution Timing I will start with the simple and obvious method before describing the less obvious ones. This uses the date command to get the current time in seconds since the unix epoch. This is simply date '+%s' 06 Save this to a variable using whatever method you prefer. For example. starttime=$(date '+%s') 07 Next, do whatever operations it is you wish to time. Use the date command to get the current time again. endtime=$(date '+%s') 08 Now simply subtract the start time from the end time using shell arithmetic. This should be very obvious and basic. -------------------- 09 Higher Resolution Timing However, suppose we wish to measure time to greater than one second of precision. We need to do two things. The first is to obtain the current time at a higher degree of precision. The second is to conduct the calculations to a higher degree of precision. 10 Unfortunately, the standard time precision for POSIX shells seems to be 1 second. Some shells offer a higher precision, but others do not. Furthermore, standard shell arithmatic uses integer, which limits calculations to 1 second of precision. -------------------- 11 Bash High Resolution Shell Variable Fortunately, bash is one that does offer a high precision date. If you are using bash 5.0 or newer, there is a shell variable called EPOCHREALTIME which offers time since the the unix epoch (that is, since the first of January 1970, at 00:00:00 UTC) in seconds to 6 decimals of precision. 12 Example echo $EPOCHREALTIME 1779634800.184926 13 This is related to the similar bash variable known as EPOCHSECONDS which gives the number of seconds since the unix epoch. 14 Example echo $EPOCHSECONDS 1779634800 15 So if you are using bash, measuring time is very simple. -------------------- 16 But is it Really Bash? Is your script however actually using bash? Debian and derivatives actually have two shells. The first, the interactive shell is bash. The second, the non-interactive shell is dash, which stands for "debian almquist shell". 17 If you open a terminal, you get bash. If your script starts with a "bin/bash" shebang line, you get bash. However, if your script starts with a "bin/sh" shebang line, you get dash. Some people find themselves getting caught out by this one when they try something out in a terminal but find that it doesn't work in their script which started with "bin/sh". 18 Many other, but not all, Linux distros use bash for both the interactive and non-interactive shells, so "bin/sh" and "bin/bash" work the same with those ones. So if you intend to use bash, make sure your script calls for bash in the first line. -------------------- 19 The SHELL Variable So how can a script tell what shell it is running under? There is a shell variable called "SHELL" which will tell you the name of the shell. Well, sort of. 20 On Debian and derivatives "SHELL" will say "bash" regardless of whether the actual shell is bash or dash. On some other operating systems "SHELL" will simply say "sh" even if it is something else entirely. So we need to do some additional levels of checking to see what we have. 21 To start with though, here's what each of the test distros reports for SHELL. Alma : bash Alpine : sh Debian : bash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : bash Suse : bash ubuntu2604 : bash -------------------- 22 Bash Versus Dash First, let's try to see which ones are bash and which ones are dash. The first thing we can check is for the shell variable BASH_VERSION. 23 Example echo $BASH_VERSION If the shell is bash, then it will report a version string. If the shell is not bash, then it will return an empty value. 24 Using this test, we can see that Alma and Opensuse are indeed using bash. We however need to check Debian, Raspberry Pi, and Ubuntu when running in an "sh" script. To check this we can use the "which" command to see what "sh" actually is. 25 Example echo $( ls -l $(which sh ) | rev | cut -d" " -f1 | cut -d/ -f1 | rev ) 26 "which sh" shows us the path to "sh" However, that is a link so we need to use "ls -l" to find the actual executable. "rev" reverses the string. 27 "cut" takes the first element separated by spaces. The second "cut" takes the first element separated by the "/" characters. The final "rev" takes that string and reverses it again to get it in the correct order. 28 In the case of Debian, Raspberry Pi, and Ubuntu it tells us that this is "dash". -------------------- 29 Openbsd Openbsd reports its shell as "ksh", which stands for Korn Shell. It is indeed Korn Shell, so we simply leave that one as is. -------------------- 30 Alpine and Freebsd Next we have Alpine Linux and Freebsd, which both report as "sh". In the case Freebsd there doesn't appear to be any further we can go that I am aware of. It's simple "sh". It is a basic POSIX shell which seems to be similar to the original unix shell, the Bourne Shell. Older versions of Freebsd used a different shell known as tsch (the C shell), but I haven't tested that so I will ignore that here. 31 With Alpine Linux however, we can get the actual shell using the same method that we used for Debian Linux. This reports as being "busybox". 32 Busybox is a limited shell intended for use in embedded systems. Alpine was originally an embedded distro, but some people started using it for containers. Alpine is Linux, but it is not GNU/Linux, and there are a number of areas which can trip you up if you are not aware of them. So, be extra careful if you are using it for anything, and test everything. -------------------- 33 Summary of Actual Shells Here is our revised list with the actual shell used when asking for "sh", so far as we can determine. Alma : bash Alpine : busybox Debian : dash FreeBSD : sh OpenBSD : ksh Raspberry-Pi : dash Suse : bash ubuntu2604 : dash 34 There are other shells, but none of them are the default shell for any of the distros on our list, so I haven't tested them. -------------------- 35 Solutions for Measuring Time Now we need to find solutions for bash, dash, ksh, sh, and busybox. -------------------- 36 Bash For bash, we can simply use EPOCHREALTIME, as mentioned above. -------------------- 37 Dash For dash, we can use the date command. This is a very conventional method, and is probably the first answer that anyone would give for this situation. However, while it will work in most cases, it will not work in all cases, so it is not a universal solution. 38 To use date we simply call it with the correct format string. This uses %s to get seconds since the epoch, and %N to get nanoseconds of the current second. If you put a decimal separator between the two it will appear in the output. You can use the correct decimal separator for your locale, but I won't go into that here. Instead I will just assume a period or dot. 39 Example date '+%s.%N' 1779634800.358916385 -------------------- 40 Problems with Date on Alpine and Openbsd Date will work for bash, dash, and sh on Freebsd. However it will not work for ksh on Openbsd, or for busybox on Alpine. 41 With busybox on Alpine, it simply ignores the %N format specifier and prints out the epoch in seconds only followed by the decimal separator. = Example date '+%s.%N' 1779634800. 42 With ksh on Openbsd it prints the epoch in seconds followed by the decimal separator and then the %N as a literal N. date '+%s.%N' 1779634800.N 43 Fortunately we have alternatives for these two cases. -------------------- 44 Openbsd Openbsd has the "ts" or timestamp utility installed by default. ts prints a time stamp in front of every line it receives from standard input. I won't go into details on all aspects of ts here, I'll leave that to someone else. Instead I will focus on how to use it for our specific purposes here. 45 We need to provide a format specifier to ts, which in this case is "%.s" We also need to provide something for standard input, or otherwise ts will simply sit there and wait for input. So what we need to do is to echo nothing through a pipe to ts while also giving ts the proper format specifier. 46 Example echo | ts "%.s" 47 This will output the epoch time in seconds to six decimals of precision. ts is installed in Openbsd and Freebsd by default and can be used in either. It can also be installed in many other distros. -------------------- 48 Busybox on Alpine None of the methods discussed so far will work for busybox on Alpine though. However there is a way, but it's a bit non obvious and somewhat hacky. 49 Busybox includes a command called "adjtimex". This is normally used to adjust the time hardware. However if it is run without arguments, it will report the current settings. 50 These include the current epoch time in seconds , and in another field the time in microseconds. These are reported as key value pairs. So what we need to do is to do the following 51 Run adjtimex Capture the output. Grep for "time.tv_sec" Grep for "time.tv_usec" Use cut to extract the time value in each case. Use tr to get rid of excess spaces in each case. Combine the two in a string with a decimal separator between them. 52 This takes a total of 4 lines of shell script. I will just describe them breifly here, see the show notes for details. 53 First we want to capture the output of adjtimex in a single operation. Run adjtimex and pipe the output through grep to capture lines containing "time.tv_" and save this to a variable. # Extract the current high resolution time from adjtimex. # We want two key value pairs, identified by time.tv_sec and time.tv_usec. tvals=$( adjtimex | grep "time.tv_" ) 54 Next echo the contents of this variable and pipe it through grep, cut, and tr to get first the seconds and then the microseconds while also removing excess spaces. Save these to two separate variables. "time.tv_sec" is the time in seconds since the epoch. "time.tv_usec" is the number of microseconds in the current second. # Get the time since the unix epoch in seconds and micro-seconds. timesec=$( echo "$tvals" | grep "time.tv_sec" | cut -d: -f2 | tr -d " " ) timeusec=$( echo "$tvals" | grep "time.tv_usec" | cut -d: -f2 | tr -d " " ) 55 Adjtimex does not zero pad the microsecond time value to provide leading zeros, so we need to take care of this using printf before we can append it to the seconds value. We didn't need to do this with date where the %N format character does this automatically. In this instance, the printf format string is '%06d' padusec=$( printf '%06d' $timeusec ) Now, combine these into a single number with a decimal separator by using simple string concatenation. # Combine them into a single number. timehires="$timesec"".""$padusec" -------------------- 56 Summary of Methods Let's summarize where we are so far in terms of methods we can use to get the current time as a high resolution number. Alma : use EPOCHREALTIME or date Debian (bash) : use EPOCHREALTIME or date Raspberry-Pi (bash) : use EPOCHREALTIME or date ubuntu2604 (bash) : use EPOCHREALTIME or date Suse : use EPOCHREALTIME or date Debian (dash) : use date Raspberry-Pi (dash) : use date ubuntu2604 (dash) : use date Alpine : use adjtimex and parse the output FreeBSD : use date or ts OpenBSD : use ts -------------------- 57 Other alternatives There are a few alternatives that we haven't discussed yet. 58 Bash with Dash In the case of Debian, Raspberry Pi, and Ubuntu running dash, since bash is available it is possible to write a separate bash script which simply echos EPOCHREALTIME and then call it from the dash script and capture the output. While this would work, there's probably not a lot of point to it. If you can rely on bash being there, then just change the first line of the script and make it a bash script. 59 Adding Packages to Alpine The ts or timestamp utility is a common unix utility that can be installed if it is not present by default. This does produce high resolution timestamps on Alpine. On Alpine Linux this comes as part of the "moreutils" package. To add the package, use the following sudo apk add moreutils echo | ts "%.s" 1779634800.959948 60 You can also add the GNU coreutils, which will provide a high resolution date command which works like in the other examples. To add the package use the following sudo apk add coreutils date '+%s.%N' 1779634800.212897332 61 If you can install more packages into your Alpine system, either of the above two is probably going to be preferable to parsing the output of adjtimex. 62 Custom Timestamp Programs You can also write a very short program in python, perl, tcl, or some other language and have it output the current epoch time. I won't discuss that here though. -------------------- 63 Calculating Time Differences Shell arithmetic is integer only. If we wish to use high resolution timing data, we need to do something so we don't lose the precision we have worked so hard to get. There are several possible solutions. 64 Change the Time Base One method is to change the time base from seconds to milli, micro, or nanoseconds. This can be done by simply multiplying the time values by the appropriate amount (e.g. 1000, 1,000,000, etc.) before subtracting them. This allows for integer arithmetic on high resolution values without losing precision. 65 Use the Shell bc Arbitrary Precision Calculator The bc command line calculator will perform calculations using real numbers and is easy to use in scripts. It is present by default in most distros. echo "scale=9; $endtime - $starttime" | bc where endtime and starttime are variables containing time values. 66 However, for some inexplicable reason, neither Debian nor Opensuse install it by default. It is present in Ubuntu and Raspberry Pi which are Debian derivatives, and it can be added to distros which lack it. 67 Use awk awk can also perform calculations using real numbers and it is present in nearly all distros including in all of the ones we tested here. echo "$endtime $starttime" | awk '{printf "%.6fn", $1 - $2}' -------------------- 68 Benchmarks And of course no comparative evaluation would be complete without benchmarks where we see how each method compares to another in terms of speed. In the benchmark test I ran each method in a loop through multiple iterations, measured the elapsed time, subtracted out the time for an empty loop, and then compared it to alternate methods. For anything other than EPOCHREALTIME, the empty loop time is negligible and has no real effect on the results. 69 Rather interestingly I came across a bug which caused date to run very slowly if called immediately after using EPOCHREALTIME in bash. The effect of the bug was to make the date benchmark test roughly 24 times slower. This has been fixed in newer releases, but if you are using an older distro release then beware of this bug. I was able to get around it either putting a sleep delay between benchmarking EPOCHREALTIME and benchmarking date, or by simply testing date before testing EPOCHREALTIME. 70 To be able to conduct additional tests I installed ts in Ubuntu and Alpine, and the GNU version of date in Alpine. 71 EPOCHREALTIME Versus date in Ubuntu 2604 bash The EPOCHREALTIME method is 3103 times faster than date. However, when the same test is run on Ubuntu 2404 when the date test is run before the EPOCHREALTIME test, EPOCHREALTIME is 1240 faster than date. Other Linux distros show performance to Ubuntu 2404. It appears that a side effect of fixing whatever the bug is has the effect of slowing down date. However, this is probably not a significant issue in normal circumstances. 72 date versus ts in Ubuntu 2604 bash The date method is 3.7 times faster than ts 73 date versus ts in Ubuntu 2604 dash The date method is 4.9 times faster than ts 74 date versus ts in Freebsd sh The date method is 2.5 times faster than ts 75 date versus adjtimex in Alpine Busybox The date method is 6.0 times faster than adjtimex 76 date versus ts in Alpine Busybox The date method is 20.0 times faster than ts 77 bc versus awk in Ubuntu 2604 I compared calculating the difference between two numbers when using bc versus awk. The difference is negligible, with bc being only 7% faster than awk. 78 Conclusion for Benchmarks Based on these results, if you need to measure elapsed time to high resolution and care about runing the command with as little overhead as possible, then the order of preference should be the following. 79 If you are using a newer version of bash, then use EPOCHREALTIME. If that is not available, then use date, provided it allows for high resolution times. If the above two cannot be used, then use ts. If you are using Busybox and cannot install either GNU date or ts, then use adjtimex. Date is the closest in terms of being the universal portable solution, but it does not work in all cases. 80 I have not compared different platforms to each other in terms of performance, as that would be a much more involved problem that is outside the scope of this episode. However, different operating systems implement different commands in different ways. 81 For example, on Openbsd and Freebsd, ts appears to be an ELF binary. That is, it is executable machine code, possibly written in C. On Ubuntu however, ts appears to be a perl script. As a result of this, the advantage that date has over ts is much less in Freebsd than it is with Ubuntu (and likely other Linux distros) as on Freebsd it doesn't need to load a perl interpreter to run ts. -------------------- 82 Overall Conclusion You no doubt thought that measuring elapsed time was going to be so simple, and how could someone get an entire podcast out of such a simple subject? And yet here we are half an hour later with just a basic overview of the subject. 83 I hope you found this interesting and informative. Please let us know in the comments if you think that I have done anything incorrectly, or if you have another way of doing things. I hope to see you all again in another future episode of HPR. -------------------- Provide feedback on this episode.

Jorge Pastrana se suma como nuevo Líder Comercial de Red Hat para América Latina. Su llegada busca ampliar el alcance de las soluciones open source de la compañía en una etapa donde la nube híbrida abierta, la automatización y la inteligencia artificial empiezan a definir nuevas prioridades de modernización para las empresas.

La velocidad de la inteligencia artificial está cambiando la forma en que las empresas deben responder a las vulnerabilidades. IBM, Red Hat y Palo Alto Networks anunciaron una colaboración que integra Project Lightwell con la capacidad de Virtual Patching para proteger más rápido a las organizaciones mientras avanza la corrección definitiva del software.

“The minute it worked, we actually started to use smaller models for the things we knew that it worked and see what they could accomplish at a fraction of the price,” says Matt Hicks, CEO of Red Hat, in a discussion with Bloomberg Intelligence Senior Technology Analyst Anurag Rana. In this episode of the Tech Disruptors podcast, the pair discuss Red Hat's role inside IBM, the durability of hybrid cloud and why OpenShift, virtualization and AI are becoming key growth drivers. Hicks explains how Red Hat is applying AI across engineering and business operations, using smaller models, containers and OpenShift to help customers build more flexible, cost-efficient AI infrastructure.

Are you feeling psychologically overwhelmed, like a puzzle missing half its pieces? Join us for a deep dive into the surprisingly profound psychological archetypes hidden within Smurf Village. Rather than a simple children's cartoon, the village serves as a map of the human psyche, where every Smurf represents a fragmented trait—like the overanalyzing Brainy or the fearful Clumsy—competing for the steering wheel of your mind. We explore the role of Papa Smurf as the "CEO" of the brain, representing the prefrontal cortex and providing the "Red Hat" of biological predictability and order. Discover how to manage your own internal "boardroom," defend against the "Gargamel" of toxic external influences, and step into the role of a wise elder in an age of information overload. It's time to stop exiling your messy parts and start integrating your internal village.

פרק מספר 516 של רברס עם פלטפורמה - קרבורטור מספר 41. הפעם רן ואורי מארחים את נתי לשיחה על נקודת המפגש המרתקת שבין קוד פתוח לקידוד מבוסס סוכנים (Agentic Coding). דיברנו על העתיד הדיסטופי והאופטימי של מפתחי קוד פתוח, איך משווקים מוצרים ל-Agents, ולמה שורת הפקודה (CLI) חוזרת אלינו בענק. [01:04] העתיד המדומיין של AI (סיפורו של OpenClaw) נתי משתף סיפור משעשע על ניסיון לחקור את "OpenClaw". הזיות (Hallucinations) של מודלים: Claude מאשר את העובדות, בעוד ש-Gemini מנתח שמדובר בהמצאה עתידית (פברואר 2026). הבנה שמודלי שפה (LLMs) הם מנועים הסתברותיים ולא מנועי חיפוש עובדתיים. [05:58] החזון הדיסטופי: האם AI יהרוג את הקוד הפתוח? בעיית ההעתקה: בעבר קוד הוגן על ידי רישיונות (כמו AGPL), היום קל לבקש מהמודל לשכתב קוד משפה אחת לאחרת (למשל מ-NodeJS ל-Rust) בעלויות אפסיות. קריסת מודלים עסקיים: עלויות התמיכה והאופרציה (Operation) יורדות כי ה-Agent מתקן תקלות לבד, מה שחותך את ההכנסות של חברות כמו Red Hat. עומס על ה-Maintainers: קוד מג'ונרט על ידי Agents נראה מעולה ומתועד היטב, אבל לא תמיד נכון ארכיטקטונית או לוגית. גישות התמודדות: חלק דורשים לקבל את ה-Prompt (הכוונה) ולא את הקוד עצמו, בעוד שאחרים (כמו יוצר שפת Zig) אוסרים לחלוטין גישה של AI לפרויקט. [15:15] החזון האופטימי: שיווק לסוכנים (GEO) מעבר מ-SEO ל-GEO (Generative Engine Optimization): סוכני AI הם הלקוחות החדשים. איך Agent בוחר כלים? לפי איכות הקוד, הפופולריות שלו ב-GitHub, ובעיקר לפי התיעוד. קוד פתוח הופך לכלי שיווקי קריטי (Open Core) כדי שהסוכנים יוכלו למצוא, להבין ולהמליץ על המוצר. מודלים היברידיים ו-Freemium: מוצרים (כמו Postits) מציעים גישה ללא חומת תשלום (Paywall) בשלבים הראשונים, מה שמאפשר ל-Agents לעבוד איתם בקלות דרך API (Headless SaaS), ואפילו לבצע רכישות בעצמם בהמשך דרך Stripe. [30:29] שובו של ה-CLI ומגבלות ה-MCP הדיבייט סביב MCP (Model Context Protocol): הפרוטוקול כבד, "זולל" טוקנים (Token hungry) עבור הקונטקסט, ודורש תחזוקה של שרתים נוספים. למה Agents כל כך אוהבים CLI (שורת פקודה)? גישה ישירה לאקוסיסטם המקומי והרשאות (כמו Kubernetes או סביבות ענן) בלי לחשוף מפתחות לשירות חיצוני. יכולת לבצע מניפולציות מורכבות בצד הלקוח (Chaining, Grep, Sed) מבלי לשנות קוד ב-Backend, מה שהופך את המודלים לאנשי DevOps מעולים. [36:17] רישיונות קוד פתוח וה"נשמה" של המוצר האתגר באכיפת רישיונות (כמו GPL) בעולם שבו קשה להוכיח על איזה קוד המודל התאמן ואם בוצעה העתקה. הבדל חשוב בטרמינולוגיה: מודלים של "Open Weights" לעומת מודלים שה-Training Data שלהם באמת פתוח. תוכנה כיצירת אומנות מול קומודיטי (Commodity): האם קוד מג'ונרט יכול להחליף את החזון וה"נשמה" (Soul) של מפתחים בולטים? ההשוואה לעולם המוזיקה מדגישה שמשתמשים הולכים אחרי האומן והחזון, לא רק אחרי הקוד היבש. [50:25] רגולציה ומודלי Open Weights אורי מעלה נקודה מעניינת על החסימה של מודל Fable 5 / Mytos 5 (של Anthropic) למשתמשים מחוץ לארה"ב על ידי הממשל האמריקאי. ההשפעה של רגולציה: ה"תקרת זכוכית" הזו עלולה לפגוע בחברות המסחריות האמריקאיות בטווח הקצר, ודווקא לדחוף קדימה מודלים פתוחים (Open Weights) סיניים או אירופאים שאינם כפופים לאותן מגבלות. האזנה נעימה!

Top Headlines: Trend Micro | Old WinRAR Flaw Fuels Attacks on Ukraine: How Unmanaged Software Keeps the Door Open: https://www.trendmicro.com/en_us/research/26/f/old-winrar-flaw-fuels-attacks-on-ukraine.html The Hacker News | Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models: https://thehackernews.com/2026/06/researchers-build-self-replicating-ai.html Huntress | Unpatched NTLM Leakage in Windows search: URI Handler, Same Bug, No CVE, No Fix | Huntress: https://www.huntress.com/blog/unpatched-ntlm-leak-windows-search-uri-handler aikido.dev | Red Hat npm Packages Compromised to Spread a Credential-Stealing Worm: https://www.aikido.dev/blog/red-hat-npm-packages-compromised-credential-stealing-worm?_gl=1*8wn4a9*_up*MQ..*_gs*MQ..&gclid=Cj0KCQjw_vnQBhCxARIsADcZyxL-SVitznmoZxhQ5DpjJdXLfpMZyybysJ0YaiJmipzBYpqtqpTk2GUaAtsMEALw_wcB&gbraid=0AAAAApQ3BFhNDUDPZ7DnB3pGVCSCcmPoZ ----------Stay in Touch!Twitter: https://twitter.com/Intel471IncLinkedIn: https://www.linkedin.com/company/intel-471/YouTube: https://www.youtube.com/channel/UCIL4ElcM6oLd3n36hM4_wkgDiscord: https://discord.gg/DR4mcW4zBrFacebook: https://www.facebook.com/Intel471Inc/

In this episode, Colin Masson hosts a discussion with experts from Edgescale AI and Red Hat about the challenges and solutions in deploying industrial AI at the edge. They explore how to overcome data integration hurdles, the role of cloud-native platforms, and real-world use cases that demonstrate rapid deployment and operational impact.Guest Names:Brian Mengwasser (Edgescale AI's CEO) and Cole Wangsness (Red Hat's Edge Program Lead)Keywords:#Industrial AI #IndustrialEdge #industrialautomation  #AI #edgecomputing  #dataintegration  #redhat #edgescaleaiWould you like to be a guest on our growing podcast?Do you have an intriguing or thought provoking topic you'd like to discuss on our podcast? Please contact the Host, Colin Masson: cmasson@Arcweb.com (or the Producer Tom Cabot) TCabot@Arcweb.comView all the episodes here: https://thedigitaltransformationpodcast.buzzsprout.com

June 2026 has no headliner. Instead of one critical bug, the release spreads thin across the kernel, the network stack, a code editor, an AI assistant, a bootloader, and a nine-year-old Linux root bug. It's a breadth problem, not a severity one, and it changes how you triage.Jason Kikta and Landon Miles break down the whole release, then step off the patch list for the breaches that never got a CVE: GitHub's internal repos reached through a poisoned VS Code extension, a TanStack compromise carrying valid SLSA provenance, and a Red Hat npm namespace compromise that fired the moment anyone ran npm install.

Description The Future of Tech is Here. Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ In this presentation from Ultimate Partner Live, industry analyst Jay McBain breaks down the monumental macroeconomic shifts rewriting the tech sector in 2026. https://youtu.be/r0qTDyw97Gs As the industry rapidly approaches a $6.07 trillion valuation, driven by massive AI infrastructure investments from Sam Altman and the “Magnificent Seven,” traditional sales and channel models are fundamentally collapsing. McBain reveals how buyer demographics have transformed to an integration-first millennial base, why marketplace ecosystems now command over half of all partner-funded deals, and how a tiny elite of just 1,000 tech service providers control two-thirds of global tech revenue. Learn the exact mechanics behind how Microsoft out-partnered AWS to win 26 straight quarters of dominant growth and how your business can deploy an algorithmic early warning system to capture massive wallet share before competitors even step into the boardroom. Key Takeaways Over half of the Fortune 500 companies vanish every 20 years because their leadership fails to anticipate macroeconomic technological cycles. The true opportunity in the $6.5 trillion AI boom lies not in single vendor products, but in the hardware, software, services, and telecom ecosystem surrounding them. Indirect tech sales are undergoing a structural shift toward direct cloud hyperscaler models driven heavily by Nvidia's core infrastructure client base. Modern business deals are won or lost months before the point of sale based on the average of 6.3 partners surrounding a customer’s environment. Over 51% of tech buyers are now millennials who prioritize software integration capabilities and digital marketplaces over traditional human sales interactions. Tech service economics are pivoting aggressively away from upfront margins toward point-based multi-partner funding across subscription cycles. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Nvidia AI buildout, $7 trillion AI opportunity, cloud ecosystem decade, Microsoft vs AWS growth, multi-partner cloud deals, digital marketplace migration, millennial B2B buyers, B2B tech subscription economics, tokenized micro consumption, tech services wallet share, hybrid cloud infrastructure, 28 customer moments, IT services industry growth, telecom spend breakdown, channel chief strategy, managed service providers MSP, global systems integrators GSI, software integration first, point-based vendor incentives, automated co-selling workflows Transcript JAY McBAIN AUDIO PODCAST [00:00:00] Jay McBain: So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book, but chapter one is always you Blame the CEO. [00:00:13] Vince Menzione: We just came back from Ultimate Partner live in Bellevue, Washington, where we hosted incredible leaders for two amazing days. Come join us for this next session where we explore the tectonic shifts we’ve all been seeing. With that, I am incredibly blessed to invite a friend of mine to the stage. I have a quick little side note, like I found an old LinkedIn post from this gentleman from like many years ago, like 20 years ago. [00:00:39] Vince Menzione: And I wasn’t really that nice to you on that LinkedIn post. Like, oh, like this is before Jay became the Jay, that we all know Jay to be j. But he was in the space and I was at Microsoft doing something and he reached out about something. It was kind of rude, Jay. I was like, oh my gosh. I can’t believe. But Jay has been a great friend. [00:00:54] Vince Menzione: When we started the podcast back up, uh, during COVID we started doing podcasts together. When we moved to the studio, Jay was the first person in the studio. He’s always got a spot, uh, at our events. He’s s Spot Art, and, and he’s a great friend and supporter of Ultimate Partner Jay McBain. For those of you who don’t know him, Jay, welcome. [00:01:13] Vince Menzione: Thank you, sir. [00:01:22] Jay McBain: 31 days ago, we landed Artemis two. The furthest humans have ever been away from the planet Earth 57 years ago. We landed on the moon in the 56 years. Between those two moments, the tech industry has been the fastest growing industry in the world. Every single year we moved from the space race to the technology race, and we’re just getting started. [00:01:46] Jay McBain: If you’re old enough, you’ll recognize the mainframe and mini era for 20 years. You’ll recognize a young disheveled Bill Gates showing up in Boca Raton, Florida for, uh, August the 12th, 1981 launch, where Bill thought that every one of us would’ve a PC in our home, and IBM thought they were gonna sell 10,000 of them to hobbyists. [00:02:12] Jay McBain: 1999, a small startup from an executive who just left Oracle in San Francisco named Mark Benioff. A couple of years later, Jeff Bezos went into a boardroom and said, listen, we’ve spent a lot of money building infrastructure to our busiest day, Christmas, black Friday. You’re telling me this stuff sits idle 10 or 20% for the rest of the year. [00:02:35] Jay McBain: Why don’t we rent that out to others? Got laughed outta that boardroom and then got made of fun of on magazine covers. Maybe you should just tend the store, let the adults talk about technology. In March of 2023, our neighbors, our friends, our family saw DeepFakes. They saw poetry, they saw music, and they came to us as tech people and said, did we just light up Skynet? [00:03:03] Jay McBain: Now every one of these 20 year eras, this is the Taylor Swift version of our industry. Every single one of these eras triggers the fastest growing product in history. Today it’s actually Chacha bt first to a billion users. It triggers a new, richest person in the world, bill Gates, to Jeff Bezos. Now, Elon Musk is the first to sign a trillion dollar pay package, and it’s not for car. [00:03:27] Jay McBain: It’s not for cars. It also triggers a most valuable company in the world change. And today that’s nvidia. These are monumental changes in our industry and they’re monumental changes in partnering every single time. And it also links to our customers. If you take a 20 year view of business, one era, and, and think about the AI era, you know, at the start of it here, if you’re to grab the Fortune 500 magazine from 20 years ago and start to flip through it, 53% of the companies in there no longer exist. [00:04:06] Jay McBain: Every 20 year cycle, we lose over half of the biggest companies in the world. These are the companies that have very deep pockets to buy their way outta problems. If you’re not in the Fortune 571% of tech companies don’t make it 10 years. These are the changes that cost industries. There are changes that cost really big companies and the decisions we make, the trends we’re in right now, in 2026 will be written about in the future. [00:04:39] Jay McBain: This new era, a lot of big numbers being thrown around. Vince’s best friend talk about a six and a half trillion dollar AI opportunity, but it’s not Microsoft’s tam. Microsoft is chasing about a trillion dollars of this. And the ecosystem, the hardware, the software, the services, the telecom is gonna make up the rest. [00:05:04] Jay McBain: It is an ecosystem. Every time these big numbers are thrown, the word ecosystem is always thrown around it. Not to be outdone, Sam Altman’s talking about a $7 trillion build out. The world economy this year, the world GDP will be 126. These are material numbers to world GDP, but even better, they’re both larger than our entire industry is today. [00:05:27] Jay McBain: So what took 56 years of the fastest growing industry this year will be $6.07 trillion. Big numbers, but it’s easier to think about it in terms of a dollar that our customers spend in that dollar. They’re gonna spend 25 cents on hardware. They’re gonna spend 25 cents on software. So for anyone that read the memo 15 years ago, that software’s gonna eat the world, there’s still a dollar a hardware to run every dollar of that software. [00:05:57] Jay McBain: And whether you’re thinking humanoid robots or whichever future you’re envisioning, there’s going to be a dollar of hardware to run every dollar of software for the next 20 years. There’s over 25 cents now in IT services, and in many cases, these services are growing faster than the product categories and just under 25 cents in telecom, that’s how it breaks out today. [00:06:19] Jay McBain: And this industry, which took 56 years to get to this point, is gonna double in size in the next three to five years. We already have two and a half trillion of that seven raised and being spent. Part of the reason Nvidia is the most valuable company in the world. Now our industry, uh, you talk about ultimate partnerships. [00:06:40] Jay McBain: Our industry traditionally, and world trade by the way, is 75% indirect. The dealerships, the agencies, the brokers, the resellers, the retailers, the franchisees, the gas stations, the grocery stores, the pharmacies, all 27 industries sell indirect. You gotta think back the last time you bought something direct. [00:07:01] Jay McBain: Well, I bought a Dell from that dude in the nineties. Cool. Well, Dell Technologies is now 60% indirect. Well, I bought insurance. Direct is 15 minutes. Could save me 15%. Well, Geico last year sold more insurance through agencies and brokers than they did direct. This is the world now. We used to be 75% indirect four years ago. [00:07:26] Jay McBain: Then it went to 73.2, then it went to 70.1 and it then it went to 66.7. By the way, marketplace is in these numbers indirect. It’s not marketplace causing this change. It’s one company, Nvidia. Nvidia has seven customers. The magnificent seven, uh, half of them are in the room right now that every morning we wake up to a hundred billion dollars press release about this $7 trillion buildout. [00:07:56] Jay McBain: What’s interesting is indirect sales in our industry is growing by revenue. It increases every year, just not at the pace that this AI build out is happening direct with seven companies. But the reason we’re all here, and I think the core reason that Vince is building this community is this, you know, Microsoft forever has measured and been very vocal. [00:08:21] Jay McBain: About 96% of their deals have partners in them. Kind of who cares, who collects the money. We care about the moments, the 28 moments before the customer makes a purchase. We care about every 30 days forever, because two thirds of our industry, over $4 trillion now is subscription consumption based. Winning a customer today is only winning the first 30 days. [00:08:46] Jay McBain: We care about this cycle. We care about who surrounds our customer. So six years ago, I stood on a big stage and said, you know, we went through a decade of sales. You know, in 1999, you thought you were born to be a salesperson. You’re managing your territory with your gut. Well, a few years later, you were introduced to the science of selling. [00:09:07] Jay McBain: You know, 10 years later you thought as a marketer, you sit around a cocktail party joking with your friends, 50% of my marketing dollars are wasted. I just don’t know which 50%. Really funny. In 2009 until every 58-year-old CMO got replaced by a 38-year-old growth hacker. Coming in with Marketo and Eloqua and Pardot and HubSpot, and 15,505 as of yesterday, MarTech and iTech tools, ninjas in marketing, they wouldn’t let a nickel go through without measuring. [00:09:43] Jay McBain: Now we understand 96% of deals and partners that surround it. No deal is gonna be won or lost in this era without partnering effectively. So we had to have this decade of the ecosystem. One of the ways we’re tracking is by outsiders. You know, Salesforce every year publishes the state of sales and they’ve got, you know, the number one CRM in the world. [00:10:05] Jay McBain: So they get to go talk to all the CROs, all the salespeople in the world. And as of this year, a couple months ago, 94% of every salesperson in every industry in the world uses partners every single day. You wanna see what this number was six years ago. Also, 89% of salespeople around the world don’t think they’re going to club this year without partners. [00:10:29] Jay McBain: So this is a big moment for us, halfway through the decade ecosystem, but we’re only halfway through. We’re starting to understand now at a more granular level. What partnering means. It’s not theory, it’s not flywheels. It’s not really cute. McKinsey slides that we keep showing to our board saying how important partnering is. [00:10:51] Jay McBain: We’re trying to get to the very specific level of the 6.3 partners on average that surround the deal and what they’re doing. How their business model works, and that’s average if I’m working on a public sector deal. I was at a Red Hat conference yesterday talking sovereignty. If I’m in an enterprise or a large public sector deal, it’s north of 10 partners in the deal. [00:11:15] Jay McBain: So we’re starting to understand what used to be this, this, you know, you’ve been the fastest growing industry for 56 straight years. Every single professional services person in every industry has come in to join the fund. Over 90% of accountants are tech services firms. Over 90% of marketing agencies are tech services agencies. [00:11:36] Jay McBain: All of this 250,000 software companies, a million emerging comp tech companies, the half a million VAR that have been in that traditional channel. The managed service providers, all of these 20 different partner types, millions of companies, tens of millions of people competing for 6.3 spots. Around the customer. [00:11:58] Jay McBain: That’s it. Luckily, there’s 141 million global customers to compete for. There’s, there’s some open slots that you can go find, and that’s the point. Our industry never had our own Fortune 500. We always talk to, you know, these partners and GSIs are doing this and SI are doing that. And we never really had a view of capability and capacity or what our own TAM was inside of that partnering. [00:12:25] Jay McBain: And so we set out and we would’ve loved, you know, chat GPT or Gemini or Claude or any of those tools to do this. But there’s one problem in partnering with AI is that it doesn’t know one partner from the next. There’s a big digital sameness problem in our industry that every single partner, whether it’s Larry in the White van or Accenture, with 786,000 employees all say they do all things to all people all the time. [00:12:53] Jay McBain: 98% of them, 99% of them are private companies that don’t share their p and l. You can’t go into Microsoft’s LinkedIn system and find out how many employees, ’cause it’s a block system, it AI can’t see into it. So it just sees, and it’s a great pattern matching. Google, SEO can’t figure out who’s who, nor today can the large language models. [00:13:14] Jay McBain: ’cause all the things they’re trying to match, the transformers are trying to match. It all looks the same. Every tweet, every ebook, every website, every digital history looks the same. So this took us thousands of people hours across two years to do, to dig into every p and l to dig into every dollar of what they’re doing. [00:13:33] Jay McBain: But what was interesting is only a thousand partners in our industry do two thirds of all tech services. When you get into enterprise, it goes up to 80 to 90%. The partners in the middle, in Blue do more tech services. The 30 of them than the 970 partners in white on the outside, the 970 partners in White do more tech services than the next million combined. [00:14:03] Jay McBain: This is our industry in a nutshell. Every time we talk to a a vendor, every time we talk to a partner, every time we talk to a distributor, we’re now talking names, faces, and places. You you wanna talk sovereignty. Yesterday in Atlanta, 90% of sovereign conversations in public sector in the globe is handled by these companies here. [00:14:26] Jay McBain: Forget about how much you do with these partners today. You wanna chase the next column, which is the wallet share. And I was a channel chief for 17 years. I get the weekly report and I see a million dollar partner, another million dollar partner, sorted top to bottom. You don’t know which partners which, which of those million dollar partners is doing 1.2 million in your category. [00:14:46] Jay McBain: They deserve a baseball cap and a front row seat at your event as an MVP. The next partner right next to them is doing 10 million in your category. They’re only doing a million with you. ’cause customers are pulling them into it. Nine times outta 10. They’re leading with your competitor. So I don’t want that list anymore. [00:15:03] Jay McBain: I want the new list, which is showing me those $9 million opportunities. And I as a board member, as A CEO, as a CFO, as a CRO, I wanna see this list. And then I want to talk people, processes, programs, technology. What are we gonna do to go get our fair share of that 9 million? Where’s our lowest hanging fruit? [00:15:24] Jay McBain: How do we double our pipeline? How do we double the size of our company in three years? It’s all right here. Let’s have very specific conversations and move away from flywheels and move around from force multipliers and and things like that in partnering. Let’s figure out how this partner community is surrounded. [00:15:45] Jay McBain: What do 10 million people who have to be smart in front of their customers every single day, what do they read? Where do they go and who do they follow? It’s the law of a few. This is the old Malcolm Gladwell of tipping point 10 million people in the broader channel. A hundred percent of our TAM comes down to only a thousand watering holes. [00:16:08] Jay McBain: 12% of that entire audience. Doesn’t sound like a lot, but it’s over A million. People love podcasts. Number one way they learn the Joe Rogan effect. In our industry, there’s 121 podcasts. These are all public lists. You can go get on my LinkedIn newsletter on canals, oia. But there’s 121 podcasts that drive him forward. [00:16:28] Jay McBain: Really high up on that list, actually number one on the list is ultimate partner, Vince. That’s how I met. ’cause I asked people, 10 million people, you love this. You walk your dog, you drive to work, you listen to podcasts. I’m not the biggest podcast fan. It’s not number one on my list, but it’s number one on theirs. [00:16:44] Jay McBain: They say, you know, you gotta meet this guy, Vince. It’s unbelievable how great these podcasts are. They’re ultimate. [00:16:54] Jay McBain: Then I talked to Vince and said, but Vince, you know, 35% of your community, the 10 million people love to come to events like this one. The hallway conversations, the hotel lobby bar last night. This is what we love to do, especially post pandemic. It’s the number one way we learn. We learn from our peers, we learn from those around us, and, and the learn from the conversations we have here. [00:17:17] Jay McBain: We always remember these moments, you know, years and years later. There’s 352 choices. I’m going to five of them this week in five different cities. It’s a lot of coverage, but again, it’s a tighter li list of how people work. The magazine lists 106 of them associations like Conter. Now the GTIA peer groups, there’s 15 different spheres of influence, but only a thousand places. [00:17:43] Jay McBain: I could walk you through billionaire, after billionaire, after billionaire in this industry and show you how they did this. How did Arne Bellini at ConnectWise? How did Austin McCord at Datto, how did Nerdio become a unicorn? How did threat locker and huntress move away from 6,500 cyber companies and become unicorns over and over and over again? [00:18:05] Jay McBain: It’s only one slide. Unicorns and billionaires are made here, and a lot of people don’t get it. So walking away from Bellevue, a thousand partners, top down, a thousand watering holes, bottoms up. You’ve covered a hundred percent of your tam. You do it better than 10% of your competitor, 10% better than your competitors. [00:18:27] Jay McBain: You win. You carry that on your resume into the next company. You get a bigger job at a bigger pay scale. Let’s just walk through some examples. Cyber 91.7% of it goes through the channel. Huge channel audience. You know, if you’re in MarTech, it’s only 10%, but this one happens to be all channel, but that’s not the story. [00:18:48] Jay McBain: For every dollar that the 6,500 cyber companies are trying to close, there’s $2 in services. Plot twist, the products are grown at 11, the services are grown at 12.6. Your partners are growing faster than you are, and they will continue to for the next, at least five years, probably 10. So when I’m here, five years from now, you’ll hear in me talk about a three to one split in cyber and then a four to one split in cyber. [00:19:18] Jay McBain: Now, when we’re in Miami a couple days ago is CrowdStrike, they’re talking about a $7 and 5 cent multiplier, chasing that two to one up higher. You look at managed services. Here’s a fun story. Managed services. 82% of customers who are man, uh, outsourcing more this year than last year. 650 billion in size. [00:19:38] Jay McBain: This is bigger than the entire SaaS industry. Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot, 250,000. Others. This is bigger. It’s also bigger than all the Hyperscalers combined, not just AWS, Microsoft and Google, but Alibaba and Oracle and everybody down the list. This is a massive market also growing at double digits. [00:19:59] Jay McBain: So these are some big things and obviously we’re watching, you know, week in and week out, quarter in, quarter out, the Battle of Software and Battle of the Hyperscalers and things like that, and who’s growing at what pace and, and how partnering is connecting to all of this. You know, we watched a moment really early in the pandemic where Microsoft started growing faster than AWS and they haven’t stopped since 26 straight quarters. [00:20:27] Jay McBain: And you ask customers and say, you know, does Microsoft have a better product? And in most cases they say no. You know, AWS had a five year head start. Well, did they have a better price? Well, no, actually most cases Microsoft’s more expensive. Well, did did they have better promotion? Was their Super Bowl ad better? [00:20:44] Jay McBain: No, they’re both kind of crap. So you kind of ask the questions of what’s the only difference that could create growth above the leader in the market? Well, it’s place. More of the 6.3 partners are walking into those keyboard room meetings and drawing clouds up on the wall and labeling the Microsoft than they are AWS. [00:21:03] Jay McBain: Very simple. It’s never been about product. The best product in our industry has never won. And now the best way forward is that partnering moment, and this is the moment. So to go back to that story about the 53% of companies who are gonna fail, one of us is gonna be asked to write the book. And it could be the book like Kodak, they invented the product that ended up killing them. [00:21:26] Jay McBain: And it’s a woe is me story, but chapter one is always you blame the CEO. How could they not see those trends happening in 2026? How could they, you know, were they blind? Were they stuck in their own, you know, innovation chamber? Innovator’s dilemma, were they stuck in their own boardrooms? Why couldn’t they see? [00:21:46] Jay McBain: Well, chapter two, you, you blame the board. They have fiduciary responsibility, outsider view, and how could they not see it? But really, this is the future right here. If you take this slide and apply it 10 or 20 years from now to every failure and every success, these are the chapters of the book. Your buyer is now a millennial. [00:22:05] Jay McBain: As of last year, the 51% of our market is bought by people born after 1982. Different psychology, different behavior, different journey, different criteria, their integration. First buyers. The buy a product, 80% as good as the next one. If it works better in their environment. 94% of people won’t buy a car unless it has CarPlay or Android Auto. [00:22:26] Jay McBain: New Buyer. You have to be more integrated than your competitors. That’s a partnering story. The 6.3 partners. If you heard cyber, you need some great channel partnerships, but you need the other 5.3 partners as well, the consultants, the advisors, the designers, the architects, the implementers, the integrators, the manner service, all of the other partners. [00:22:44] Jay McBain: You need to know more of them than your competitors do, and have them label clouds with your name in them. You need better alliances. Even if you compete, you only compete in the morning. You’re best friends by the afternoon. You have to be tight with the hyperscalers, tight, with the big SaaS platforms, tight with cyber, tight with distribution, there are layers, seven layers to every deal. [00:23:04] Jay McBain: You gotta be tight in and have better alliances than your competitors. And then it all comes to the 28 moments, which I’m gonna end on, but the go to market of all of this, the co-selling, co-marketing, co-innovation, co-development, co keeping. This is it. Your product has to be good enough that somebody’s gonna renew it. [00:23:21] Jay McBain: Your Super Bowl has to be, you know, ad has to be good enough that people don’t, you know, shame you on social media. Your pricing has to be somewhere in a country mile of the bell curve of what the customer wants to pay. But successor failure is just here and platforms are synonymous with partnering. [00:23:40] Jay McBain: It’s our role now in the decade of the ecosystem to drive our companies forward. Marketplace. It’s probably the most predict, you know, great prediction we ever made. You know, growing at 82% compounded, it’s hard to predict ’cause it doubles almost every year. We were almost exact to the decimal point. Five years later now till 2030, we’re watching a second story, which is more interesting. [00:24:02] Jay McBain: If 96% of all deals have partners inside of them and there’s private offers and multi-partner offers and distributor sellers record all these funding mechanisms or services as a product. As of last week, over 50% of all deals in marketplaces now have partner funding. It means that while money changes hands differently, the respect and the recognition of what partners do is in the deal. [00:24:26] Jay McBain: We think that’s going to 59, but at some point, that’s gonna have to hit 96. ’cause to run the best programs, whether it’s an indirect sale, whether it’s a direct sale, whether it’s a marketplace deal, it doesn’t matter how money changes hands. What matters is we recognize the 6.3 partners. They’re not only making the deal happen bigger and faster, but renewing and enriching that every 30 days forever. [00:24:48] Jay McBain: When we watch, you know, billion dollar clubs and when we read all the press releases and all the hubbub about how fast this is growing and who, which companies are behind all this. When I’m quoted in some of these press releases, it’s because of this. You know, CrowdStrike, you know, brags are a billion dollars in a single year, but inside of that, they’re showing that 91% growth in marketplaces, which is pretty phenomenal for any company to almost double in size every single year. [00:25:17] Jay McBain: What’s more phenomenal is they’re growing the channel piece of it, 3548%. That green part of it is growing. Companies that understand platform and have people and processes and programs and technology to do it are winning. And they’re getting recognition and partners are starting to join the Billion Dollar Club who don’t sell a product, but are also winning at Extreme Scale. [00:25:44] Jay McBain: So talk about those partner 1000 and who are leaning in to win at this level. As well as everything changes, traditional billing moved into subscription models, moved into consumption models. Now we’re being tokenized to death multi it’s, it’s in this mode of micro consumption. There’s no chance there was little chance in subscription consumption that would be resold. [00:26:09] Jay McBain: You don’t buy Netflix from the cable guy in the white van. There’s zero chance when you’re buying tokens at a buck a piece that that’s going through any indirect sale. This continues to grow. Now the tectonic shifts is what happens when money changes hands differently. These old programs that we used to all write hundreds of different boxes, we checked every day on deal reg and trainings and all the other things are changing. [00:26:35] Jay McBain: To this, you’ll get these slides, by the way, in high res, inside of this now is the customer. For the first time ever, 45 years later, we have the customer in the middle of what we do, the 28 moments in green before they buy the seven layer stack and the partners inside it. The implementation. The integration, the managed services in a cycle that never ends, and two thirds of our industry. [00:26:55] Jay McBain: With the customer in the middle, we can now move money around to the different moments. It’s not all landing in front or backend margins or market development funds or new customer bonuses or spiffs. It’s landing where it needs to land. Over 400 companies now, pretty much led by Microsoft 400 companies are in a point system right now and 400 more. [00:27:18] Jay McBain: We’re working kind of behind the scenes to get that announced in the next 12 months. This is a total changeover in terms of how economics work and partners are yelling over half of us. I don’t care. Don’t call me a VAR anymore. Don’t call me an MSP. Don’t call me a regional system integrator. I do the consulting over half the time. [00:27:36] Jay McBain: I do the design, I do the implementations, I do the managed services, and 44% of us are vibe coding. On weekends. We’re not happy. Just on the services side. We wanna join the seven layer tech stack as well. These are partners growing faster than their vendors by understanding this cycle and where to show up and where the money is in ai. [00:27:56] Jay McBain: And the number one thing they’re asking for is not more leads, which they did for 45 years. The number one thing is now recognized for what I do. I’ve never just been a cash register. We’re completely now past this idea of a channel being a channel of distribution, and now a channel being this platform for the future. [00:28:16] Jay McBain: As we lay that on top of ai, the first couple of years of AI has really been consumer driven. The 95% failure rate that MIT reported last year is now 70%. That’s the failure to get from proof of concept to production. That 70 will be 50 by the summer we’re moving now in business, the maturity rates are going up at the end customer and in 88% of cases, that’s because of the channel. [00:28:43] Jay McBain: They’re working with partners. They’re not vibe coding themselves and working in little skunkwork groups. They’re working with partners to make it happen, and it now becomes the partner’s number one growth opportunity. I can grow at 11 or 12% in cyber every year. Compounded I can grow in 10% in managed services. [00:29:03] Jay McBain: You know, those are great double digit growth ’cause my customers are growing at 2.7% and I can go four x my customer, but I can go 10 x my customer if I have the right services built around ai. And this compounded growth rate and that big number in 2 20 32, 267 is what’s got those top 1000 partners obsessed. [00:29:25] Jay McBain: And your companies are leading with ai. Now you need to connect to those AI services. You need to get partners on this scale of growth. And they will be adding your name inside every cloud. They write on every whiteboard, but 82% of partners around the world, you know, we survey 25,000 of them aren’t ready, and they’re blaming vendors for not being ready, and they’re telling them exactly the workshops and the training that they need to get ready for this cycle. [00:29:53] Jay McBain: 82% of our entire partner, tens of millions of people, aren’t ready to grow at 35% and they need our help. Last thing I’ll say about AI is it’s the first time from client server to cloud, edge to cloud that it’s been segment driven. SMB alone has one, you know, six different segments, one to nine, 10 to 24, 25 to 49, et cetera. [00:30:18] Jay McBain: Mid-market into enterprise. No one that runs a restaurant is calling Jensen to buy a GPU to put next to the stove. No one’s calling Sam or Dario or anyone at Anthropic or OpenAI directly. They’re waiting. If you run a restaurant with all the people running around with tablets, you’ve invested in toast or square or clover or one of the platforms to run your business. [00:30:41] Jay McBain: A hundred different things. And you’re gonna wait for toast to work with a hyperscaler and build out the capabilities genetically. So when they see a spike in Uber Eats orders, they automatically place a food order and automatically change the staffing to deliver on it. That’s what the restaurant’s waiting for, and there’s no one calling and having a big a agent conversation. [00:31:03] Jay McBain: But even if you go into hundreds of people in medium sized business, every one of the vice presidents have their tech stack already built. I talked about the marketing person already, but the HR leader has one, and everybody’s got their seven layer stack. They’re not calling to buy a GPU and they’re not calling to, you know, bring in open AI directly or, or anthropic. [00:31:22] Jay McBain: They’re waiting for the platform they built to integrate together ag agenta capabilities. Everybody’s in wait mode up until enterprise and public, large public sector. So we are looking at this market and at 90% of that AI market is run by those thousand companies, and the rest of the millions of partners are helping in terms of how these businesses are gonna change at that level. [00:31:46] Jay McBain: Here’s where I end. You know, the 28 moments used to be a theory. It used to be a flywheel. How do we buy a car? [00:31:55] Vince Menzione: Well, we Google it, [00:31:57] Jay McBain: 81% of us now, 94% of us use large language models. We find out that there’s 365 brands of car. I’d have to test drive one every day of the year to get through them all. So we start narrowing these things down. [00:32:09] Jay McBain: We configure it. We put our rims on it, we color it. We download the invoice price. We download the backend rebates this month, whether I buy it in May or June, we find out what 5,000 people paid for our exact car within 50 miles of us. And then we don’t wanna go to the dealer because we know more than the salesperson, the manager ever will. [00:32:26] Jay McBain: We know what we’re gonna pay within, you know, dollars or cents. Just carvana the car. Hand me the keys. Let’s just forget the whole eight hour back and forth. I’ll get you a deal thing. I’m smarter than you in technology. Our customers are smarter than us, smarter than salespeople. That’s why 75% of millennials don’t wanna talk to a salesperson. [00:32:48] Jay McBain: They want to end digitally, and by the way, they’re not gonna send a fax after 28 digital moments. They’re gonna end on a digital marketplace. This is all demographics. It’s not hard to see where it’s going, but we’re getting into names, faces, places again. What if every dollar of your tam, the board, the CEO, runs around with their big multi-billion dollar number, they’re chasing? [00:33:09] Jay McBain: What if every single deal looks the exact same? This is a deal with AstraZeneca, A real deal, real customer spending millions of dollars. We know it starts in October, it ends in April. It’s a six month cycle. We see what they read, the MQ ls at the beginning. We see the sales demo moments. We see ISV, but we’ve never had the light blue boxes. [00:33:30] Jay McBain: What if we as a team could overlay the 6.3 partners in this deal? And when you find out a couple things. Here’s where I end. In December, five deals were one, three of them by NTT. The person at NTT probably coaches AstraZeneca’s, you know, kids’ soccer team. They probably have a cottage together at the lake. [00:33:50] Jay McBain: For the last 20 years, if the person at NTT worked at Deloitte, Deloitte would’ve run this deal. But Software One and Yash are both there, so we understand that when they were drawing clouds up on the wall in the boardroom in December, this deal was won and lost there. It was not won and lost at the point of sale. [00:34:09] Jay McBain: So what if you knew more about this and could see every dollar in your tam? You had an early warning system that this was happening. Two things jump out at this now that we’re in Bellevue. AWS was touched twice in this deal, directly in the marketing cycle and the sales cycle. AWS lost this deal. Here’s an example of Microsoft winning a deal with Microsoft never being touched. [00:34:34] Jay McBain: For some reason, NTT who won, who won AWS’s partner of the year a couple years ago led with Microsoft, so did Software one, Microsoft’s biggest reseller in Europe, and as did Yash, they all led with Microsoft and without Microsoft, knowing Microsoft took a multimillion dollar deal away from their competitors by winning in December. [00:34:53] Jay McBain: That’s one. Second. These partners didn’t just show up other than soccer and cottages. They didn’t show up in December. It went closed one in their CRM system. Back in the summer, August, September, we already knew AstraZeneca was in market, spending millions of dollars. We didn’t need them to read an ebook or go to an event to find that out. [00:35:17] Jay McBain: We knew it because it was closed one. They’re spending hundreds of thousands of dollars times five in December to know what to do at the end. This is an early warning system that’s better than any MQL, better than any SQL. And if you could give your company these level of view into their pipeline with an early warning system that I can work with those partners for months before they ever show up at the customer’s boardroom. [00:35:44] Jay McBain: This is it. Talk about 47% winners. This takes you from not only surviving the AI era to being a top five platform winner. Thank you very much. [00:36:01] Vince Menzione: Until next time, we’ll see you in person. Hopefully at our next event.

In this episode: people are still writing new programming language, Microsoft is going all "developers, developers, developers" again, and bots are apparently outnumbering humans on the web now.Timestamps:1:55 - Bot traffic has passed human traffic5:28 - The Jam programming language12:04 - Jack at Microsoft Build29:26 - Cloudflare bought VoidZero34:46 - Red Hat is the latest victim of Shai Hulud38:39 - Anthropic wants AI dev to slow down41:35 - Someone used a Waymo in a robbery46:47 - What's making us happyNews:Paige - There's a new programming language called JamJack - Microsoft Build coverageTJ - Bot web traffic has passed human web trafficLightning News: Red Hat is the latest victim of Shai Hulud on npmAnthropic wants AI development to slow down for the public goodPolice have yet to catch a thief who used a Waymo to steal yoga clothesCloudflare bought VoidZeroWhat Makes Us Happy this Week:Paige - For All Mankind TV seriesJack - Custom Microsoft swagTJ - Claude Desktop BuddyThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

On this week's show special guest co-host Andy Boyd joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. Andy is the CEO of REDLattice, which makes the Paragon “intelligence collection and reconnaissance” solution. They cover: Adversaries are tracking US troop locations with commercially available location data A new Signal phishing campaign is going after message backups 404 Media is suing ICE to get its spyware contract with REDLattice (lol) Microsoft's tone-deaf response to ‘never justifiable' zero-day disclosures Mini Shai-Hulud pops up again just as Glassworm gets shattered Much, much more This week's episode is sponsored by Authentik, an open source identity platform that you can host yourself. In this week's sponsor interview Authentik's CEO Fletcher Heisler joins Patrick Gray to talk about how they're keeping up with the bugpocalypse, and also the work they're doing to support identities for AI agents. This episode is also available on YouTube. Show notes The Pentagon Knew Enemies Could Track Troops' Phones for Years. Now They Are | wired.com U.S. says troops were targeted with location data, as senator warns ad industry is a ‘national security threat' | TechCrunch Security DOD location data attachment (Wyden) | Risky Business #830 -- LiteLLM and security scanner supply chains compromised | Risky Business Media US has seized nearly $1 billion in crypto from Iran, Bessent says | Russia claims foreign spy agencies hacked officials' phones | therecord.media Hackers are trying to steal Signal users' backups in new wave of phishing attacks | TechCrunch Security We Sued ICE to Get Its Spyware Contract. The Agency Is Redacting Essentially Everything | Social Signals Microsoft calls zero-day releases ‘never justifiable' as researcher threatens to drop more | therecord.media A shared responsibility: Protecting customers through Coordinated Vulnerability Disclosure | Social Signals Microsoft says it will not pursue security researchers after zero-day backlash | therecord.media IBM's new $5B initiative will help enterprises rapidly patch open-source vulnerabilities | Social Signals Federal audit reveals NIST's NVD is plagued by poor planning and duplication | cyberscoop.com Hackers Used Meta's AI Support Bot to Seize Instagram Accounts | krebsonsecurity.com Critical Windows Netlogon RCE flaw now exploited in attacks | BleepingComputer CISA adds exploited Palo Alto Networks GlobalProtect flaw to KEV | Cybersecurity Dive Password manager Dashlane says hackers stole some customers' password vaults | TechCrunch Security CrowdStrike disrupts Glassworm botnet that preyed on open-source supply chain | cyberscoop.com Botnet of more than 17 million devices dismantled | arstechnica.com Chinese-speaking fraud gang could be stealing millions from 2026 World Cup fans | therecord.media ACCC investigating Olympics ticket scam | ABC Dozens of Red Hat packages backdoored through its offical NPM channel | arstechnica.com Solo podcast: A deep dive on TeamPCP - Risky Business Media | Trump administration releases scaled-back AI executive order | cyberscoop.com Google security engineer accused of turning confidential search trends into $1.2M win on Polymarket | cyberscoop.com

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

Dave Airlie, a Distinguished Engineer at Red Hat, speaks with host Gregory M. Kapfhammer about Linux kernel maintenance. After over-viewing the scale and structure of the Linux kernel, they dive deep into the review and validation of kernel patches, drawing on examples from the GPU subsystem. After discussing the features and benefits of the Linux kernel's maintenance model, they also explore kernel maintenance best practices and the supporting tools for these practices. Dave and Gregory also discuss topics such as the integration of Rust code in the Linux kernel and the ways in which AI-driven code review are influencing kernel maintenance.

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

This week Mike McGrath from Red Hat joins us to talk about using Red Hat to talk about the relationship RHEL and their up-streams. -- During The Show -- 00:45 Intro IT at home Wrangling home "data center" Noah's old strategy Shoe makers kids have no shoes Snowballing tech Backups - pull vs push Making things modular 11:10 Interesting Tech - Carey TRMNL Mecha Comet GPD Micro PC 2 Value of pocket PCs 22:30 Shelly Devices and UL rated - Mike UL Ratings Pay attention to what you buy Many Shelly devices are UL listed UL listed Shelly devices are ~20% more expensive "Harbor Freight" answer 28:30 Red Hat Vulnerabilities Discovered and locked down in a few hours Assume breach, change everything Has worm like functionality Bypassed 2FA Multiple persistence methods Heavily obfuscated stepsecurity.io 36:45 Interview Mike McGrath Mike McGrath - Vice President, Core Platforms RHEL AI vs OpenShift AI What did Red Hat get wrong and right over the last few years Is AI a threat to open source? Does going closed source actually solve anything? CVEs Mechanisms for community influence on RHEL What are RHEL security best practices? Quantum safe encryption Install as little as possible Image mode Project Hummingbird RHEL Forever CentOS Stream and RHEL What is an upside of CentOS Stream? -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard Phone Systems for Ask Noah provided by Voxtelesys Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux Ask Noah Show Altispeed Technologies Special Guest: Mike McGrath.

Cybersecurity Today for June 2, 2026. Microsoft has backed away from its hard-line stance against vulnerability researchers after widespread criticism from the security community. The dispute began after independent researcher Nightmare Eclipse published proof-of-concept code for unpatched Microsoft vulnerabilities, triggering a public debate over responsible disclosure, zero-days, and researcher relations. Cybersecurity Today would like to thank Material Security for sponsoring this podcast. Material Security provides faster, more complete detection and response for email, identity, and data threats inside Google Workspace and Microsoft 365. You can contact them at material[dot]security. Carnival Corporation disclosed a social-engineering attack that led to the theft of sensitive personal information affecting nearly six million people. Exposed data includes names, contact information, dates of birth, and government identification details. The ShinyHunters cybercrime group has claimed responsibility and alleges the breach involved even more records. Password manager provider Dashlane temporarily locked some customers out of their accounts after large-scale password-guessing attacks triggered automated security protections. Access was later restored, although some users reported lingering issues. The episode also examines a software supply-chain attack uncovered by Wiz involving 32 Red Hat Cloud Services NPM packages. Attackers compromised a Red Hat employee's GitHub account and inserted Miasma malware designed to steal Google Cloud and Microsoft Azure credentials. Timestamps: 00:00 Sponsor Message 00:28 Headlines And Intro 00:55 Microsoft Researcher Dispute 02:58 Carnival Cruise Data Breach 04:48 Dashlane Lockouts Explained 06:09 Miasma Malware Supply-Chain Attack 08:10 Wrap Up And Sign Off 08:31 Sponsor Deep Dive #Cybersecurity #DataBreach #Carnival #Microsoft #Dashlane #RedHat #SupplyChainAttack #CyberSecurityToday

AI vulnerability discovery just upended the legendary Capture the Flag competitions, leaving top hackers sidelined while algorithms dominate the scoreboard. Hear why one seasoned researcher says the entire game is over for humans. As expected, UnFiOS devices are under attack. CISA commands federal agencies to update Drupal. Can the largest botnet ever, be killed. Defender endpoint can cutoff a PC from the network. Charter Communications big account leak. Chrome moves device-bound session cookies from beta. Anthropic to release Mythos shortly. cURL and Daniel Stenberg. IBM & RedHat commit to fixing open source with AI. LOTS of terrific listener feedback this week. AI spells the end of a terrific source of training Show Notes - https://www.grc.com/sn/SN-1081-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit hoxhunt.com/securitynow zscaler.com/security material.security meter.com/securitynow

In this episode of Alexa's Input (AI), I sat down with Rob Shaw from Red Hat to talk about how AI inference evolved from a simple model serving problem into a large-scale distributed systems problem.We explored the infrastructure shifts behind modern LLM serving, including how vLLM and PagedAttention changed the economics and efficiency of inference, why KV cache management became one of the most important bottlenecks in production AI systems, and how orchestration layers like llm-d are emerging to coordinate distributed inference.We also discuss:how LLM inference differs from traditional model serving runtimesKV cache, prefix caching, and cache-aware routingwhy throughput and latency became major infrastructure challengeslong-context agents and repeated inference callsdistributed inference on Kubernetesintelligent routing, flow control, and load balancingprefill/decode disaggregationenterprise AI deployment realitiesvLLM has become one of the most important open-source projects in AI infrastructure, and llm-d represents a newer shift toward treating inference as a coordinated distributed system rather than just a single runtime problem.If you want to better understand the systems layer beneath modern AI applications, this episode is a deep dive into where inference infrastructure is heading next.General Podcast LinksWatch: ⁠⁠⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠Listen:⁠⁠ ⁠⁠https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠⁠⁠More: ⁠⁠⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠⁠⁠Learn more about the host atWebsite: ⁠⁠⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠⁠⁠Find out more about the guest at:LinkedIn: https://www.linkedin.com/in/robert-shaw-1a01399a/ Red Hat Articles: https://developers.redhat.com/author/robert-shawGithub: https://github.com/robertgshaw2-redhat ResourcesvLLM Website: https://vllm.ai/vLLM GitHub Repository: https://github.com/vllm-project/vllmllm-d Website: https://llm-d.ai/llm-d GitHub Repository - https://github.com/llm-d/llm-d KeywordsAI inference, VLLM, LMD, distributed inference, GPU optimization, open source AI, Kubernetes, multi-cluster deployment, AI infrastructure, enterprise AI AI infrastructure, Kubernetes, model optimization, speculative decoding, mixture of experts, AI deployment, performance tuning, AI systems, neural network scaling Key TopicsEvolution of vLLM and llm-dDistributed inference and routingGPU utilization and performance optimizationOpen source AI infrastructureEnterprise deployment challenges and solutions Standardization in Kubernetes for NIC exposurePerformance optimizations: quantization and speculative decodingMixture of experts architecture and parallelism strategiesFlow control and request scheduling in AI systemsEmerging hardware for AI inference, Cerebras processorReinforcement learning and AI system supportModular architecture of vLLM and ecosystem projects

Russia's FSB calls out a Western spyware operation, high-profile Instagram accounts hijacked via Meta's AI support agents, Red Hat npm packages were compromised in another supply chain attack, and ten percent of domains registered last year were malicious. Show notes Risky Bulletin: A tenth of all new domains last year were malicious

A federal watchdog questions NIST over its vulnerability database backlog. Google patches an Android zero-day. Citizen Lab exposes a powerful location-tracking platform. Malware hides commands in Steam comments. Researchers spot AI-assisted malware development. Attackers compromise Red Hat's npm namespace. DriveSurge spreads malware through ClickFix and fake updates. FreePBX patches a critical flaw. And Dashlane responds to a brute-force attack. Our guest is ⁠Laure Lydon⁠, Opening Chair for Infosecurity Europe and VP of Security and Infrastructure, Flo Health, sharing her expertise on digital health platforms. Meta's AI support bot proves a bit too eager to help. 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, Maria Varmazis speaks with ⁠Laure Lydon⁠, Opening Chair for Infosecurity Europe and VP of Security and Infrastructure, Flo Health, sharing her expertise on privacy, security, and trust in digital health platforms, especially in sensitive areas like women's health. This interview is part of our partnership with Infosecurity Europe. Selected Reading Inspector general finds NIST mistakes have made vulnerability database ineffective (The Record) Google fixes one actively exploited Android zero-day, 124 flaws (Bleeping Computer) Uncovering Webloc: An Analysis of Penlink's Ad-based Geolocation Surveillance Tech (The Citizen Lab) GoDaddy found malware on 1,980 WordPress sites using Steam as C2 infrastructure (Security Affairs) Threat Actor Uses AI to Build EDR Evasion Tools (Infosecurity Magazine) Attackers Hijack Red Hat npm Scope to Steal Cloud Secrets (Infosecurity Magazine) Hackers hijack thousands of sites for ClickFix and FakeUpdate attacks (Bleeping Computer) Critical Hard-Coded Credentials Vulnerability in FreePBX User Control Panel (Beyond Machines) Dashlane password manager users locked out by brute force attacks (Bleeping Computer) Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked (404 Media) 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. Learn more about your ad choices. Visit megaphone.fm/adchoices

Unidentified RAT pushes NetSupport RAT https://isc.sans.edu/diary/Unidentified%20RAT%20pushes%20NetSupport%20RAT/33034 CVE-2026-41089: Windows Netlogon Vulnerability Exploited https://ccb.belgium.be/advisories/warning-microsoft-patch-tuesday-may-2026-patches-118-vulnerabilities-16-critical-102 RedHat npm Packages Affected https://www.aikido.dev/blog/red-hat-npm-packages-compromised-credential-stealing-worm Dashlane Locking Accounts after Brute Force https://status.dashlane.com/pages/5aabcb89fccc4b04d3774443 My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

Meta AI hands over Instagram account access Dutch police dismantle huge botnet RedHat packages get backdoored Get the show notes here: https://cisoseries.com/meta-ai-hands-over-instagram-access-dutch-police-dismantle-botnet-redhat-packages-backdoored/ Huge thanks to our episode sponsor, Vanta Your team just added its 67th AI tool. And unfortunately, also your 67th security blind spot.   The good news: The Vanta  [rhymes with Santa] Agent works like a GRC engineer in the background, finding every app your team uses, scoring the risk, and drafting fixes for you.   Vanta is the platform used by over sixteen thousand fast-moving companies like Ramp, Cursor, and Harvey who are shaping the future with AI, AND staying ahead of AI risk.   Get started at vanta.com/headlines. 

Patrick Moorhead and Daniel Newman cover Daniel's acquisition of Enterprise Technology Research, IBM's historic $15 billion single-day commitment spanning quantum and open-source security, Anthropic's Claude Opus 4.8, and the heaviest single earnings night of the season featuring Dell, Marvell, Salesforce, Synopsys, Snowflake, HP, and Micron crossing $1 trillion in market cap. The handpicked topics for this week are: Anthropic Releases Claude Opus 4.8: Six Weeks After 4.7 Anthropic dropped Opus 4.8 just six weeks after 4.7, claiming it surpasses GPT-5.5 and Gemini 3.1 Pro on agentic coding, knowledge work, and computer use. Benchmark improvements across the board: agentic coding up from 64.3% to 69.2%, knowledge work from 1753 to 1890, agentic computer use from 82.8% to 83.4%. Three new features ship alongside it: Dynamic Workflows for multi-subagent orchestration inside Claude Code, Effort Control for managing token spend, and mid-task system messages via the API. Fast mode is now 2.5x faster and 3x cheaper. Pat's honest take: what it says on paper is good, particularly on tool triggering and citation precision, but he has lost significant trust in the company and is watching closely. (The Decode)   IBM Commits $10 Billion to Quantum: The Largest Single Quantum Bet in History IBM announced a $10 billion commitment over five years targeting a large-scale fault-tolerant quantum computer by 2029, landing the same day as the $5 billion Project Lightwell announcement for a single-day IBM strategic commitment of $15 billion. Pat has been calling 2029 to 2031 as the realistic commercial quantum window and calls this the strongest single corporate financial signal yet that the timeline is real. Daniel's framing: IBM wants to be the NVIDIA of quantum, and with a $10 billion commitment, it's sending a flare to the entire industry that pure-play quantum companies cannot compete at this balance sheet level. (The Decode)   IBM and Red Hat Launch Project Lightwell: $5B to Secure Open-Source Software IBM and Red Hat committed $5 billion and a global force of 20,000 engineers to secure open-source software for enterprises through frontier agentic AI, anchored by 11 of the largest US and Canadian banks including Bank of America, Goldman Sachs, JPMorgan Chase, Mastercard, and Visa. Pat's read: this is the productization answer to Anthropic Mythos. Mythos found the vulnerabilities. Lightwell is the industrial-scale patching and validation layer enterprises can actually buy on a subscription. Daniel adds that IBM is flexing its engineering talent base as a premium strategic asset, a direct counter to the narrative that AI replaces engineers. (The Decode)   Anthropic Project Glasswing: 23,000 Vulnerabilities Found Across 1,000 OSS Projects Anthropic's Claude Mythos scanned more than 1,000 widely deployed open-source projects and surfaced approximately 23,000 candidate vulnerabilities, with 1,094 confirmed as critical severity. The Cyber Verification Program now gates the strongest cyber-capable Claude variant behind vetted defenders only. While the tool creates real value, the surface of attack will likely grow as fast as any tool built to defend it. (The Decode)   Anthropic in Talks to Run Claude on Microsoft Maia 200 CNBC and The Information reported Microsoft is in active negotiations to supply Anthropic with its custom Maia 200 inference chip, which would make Anthropic the only frontier lab simultaneously running production workloads on four distinct silicon stacks: NVIDIA, AWS Trainium, Google TPU, and Microsoft Maia. Pat's context: Maia 200 delivers 30% better tokens per dollar than the latest Azure fleet per Satya Nadella, and this deal would be Maia's first major external deployment. Daniel's read: what can be built will be sold right now, and Anthropic chasing every available compute source is simply the structural reality of growing at 80x when you planned for 10x. (The Decode)   The Flip: Is AI CapEx Too Expensive to Earn Its Return? Pat takes the affirmative. With $725 billion in hyperscaler CapEx tracking for 2026, likely $1 trillion next year, memory has become the choke point making it even more expensive, and open-source models have closed enough of the quality gap for most enterprise tasks that the premium of frontier APIs is increasingly hard to justify. A recent Signal65 white paper shows on-prem payback at 18 months. Daniel's counter: Dell just booked $24 billion in AI orders in a single quarter. Agentforce crossed $1 billion ARR at 169% growth. NVIDIA guided to $91 billion. Only 20% of enterprises are using AI and only 2% of consumers. Both hosts admitted off the flip their notes looked nearly identical. (The Flip)   Micron Crosses $1 Trillion Market Cap Micron became the 12th US company ever to cross $1 trillion in market cap, surging 19% on May 26th as UBS raised its price target to $1,625, implying a $1.8 trillion market cap. Samsung's Q1 memory ASP jumped 146% year over year. DRAM spot prices spiked 55 to 60% quarter over quarter. Daniel has been pounding this call since sub-$100 and calls it a cycle elongated beyond anything seen in the 27 prior memory cycles, driven by HBM capacity reallocation away from consumer DRAM creating structural shortage. (Bulls and Bears)   Dell Technologies Q1 FY27: The Biggest Enterprise AI Infrastructure Print of 2026 Record $43.8 billion revenue, up 88% year over year, crushing the $35.7 billion consensus by $8 billion. AI-optimized servers at $16.1 billion, up 757% year over year. $24.4 billion in AI orders booked in a single quarter. FY27 AI server revenue guide raised from $50 billion to $60 billion. Non-GAAP EPS of $4.86 beat the $2.96 consensus by 64%. Stock up 18% after hours. Pat's framing: Dell was very clear about what they were going to do. Rack engineering, sales, and service. The basics. And they executed the basics at an extraordinary level while building a special relationship with NVIDIA who views Dell as a market maker for both enterprise and NeoCloud. Daniel's add: play nice and win. Michael Dell navigated the political landscape brilliantly and pulled the entire Dell brand along with him. (Bulls and Bears)   Marvell Technology Q1 FY27: Record Revenue, Data Center at 76% of Mix Record $2.418 billion revenue, up 28% year over year. Data center at $1.833 billion, up 27% year over year, now 76% of total revenue. Q2 guide of $2.7 billion at midpoint accelerates growth to 35% year over year. Operating cash flow a record $638.8 million. Daniel went on TV and said it's "written in the stars," arguing the market had misunderstood this one for too long by conflating its custom AI ASIC story with the full breadth of its connectivity and networking portfolio. Pat's closing: the shorts are eating it now and the custom AI ASIC versus merchant GPU debate is finally settling into the right answer, which is both in lockstep. (Bulls and Bears)   Salesforce Q1 FY27: Agentforce Crosses $1 Billion ARR Revenue $11.13 billion, up 13% year over year. Non-GAAP EPS of $3.88 crushed the $3.12 consensus by 24%. Agentforce ARR crossed $1 billion, up 169% year over year, with 28.6 trillion tokens processed, up 152% quarter over quarter. 50% of Agentforce bookings came from existing customers expanding. Daniel flagged the $25 billion accelerated buyback funded by new debt as an interesting signal worth watching. Pat's bottom line: it's not perfect, but certainly no "SaaSpocalypse" in those numbers. (Bulls and Bears)   Synopsys Q2 FY26: First Full Quarter With Ansys Integrated Revenue $2.276 billion, up 42% year over year, beating consensus. Non-GAAP EPS of $3.35 beat $3.15. FY26 guide raised to $9.665 billion midpoint. Daniel's framing: every chip runs through Synopsys tools, and the Ansys addition makes it the full-stack co-design platform Jensen Huang keeps talking about. Synopsys is not just the pick and shovel of current AI silicon. It is the pick and shovel of quantum, robotics, and space as well. (Bulls and Bears)   Snowflake Q1 FY27: Strongest Sequential Dollar Growth in Company History Product revenue $1.33 billion, up 34% year over year, the strongest sequential dollar growth in Snowflake history. Net revenue retention 126%. FY27 product revenue guide raised to $5.84 billion. Natoma acquisition announced for secure agentic enterprise connectivity. New $6 billion multi-year AWS commitment. Daniel's closing: proprietary unique data is the real moat of the agentic era, and that data has to live somewhere. It is going to go to platforms like Snowflake. (Bulls and Bears)   HP Inc. Q2 FY26: Eight Straight Quarters of Growth With AI PCs at 44% of Shipments Revenue $14.4 billion, up 9% year over year, the company marks its eighth consecutive quarter of top-line growth. Non-GAAP EPS of $0.86 beat the prior guide. Personal Systems at $10.2 billion, up 13%, with 30% operating profit growth. AI PCs jumped from 35% to 44% of shipments quarter over quarter, with HP guiding to 60 to 70% next fiscal year. FY26 EPS guide raised. Pat's note: they still need a permanent CEO, which would help investors sleep better at night. Daniel's add: the real explosive moment for device companies comes when AI moves to the edge and enterprises shift from expensive frontier model consumption to on-device inference. (Bulls and Bears)   Everpure Q1 FY27: Record Revenue, Rebrand Complete Record revenue of $1.1 billion, up 35% year over year. Product revenue $577 million, up 55%. Subscription ARR at $2 billion. FY27 guide raised to $4.41 to $4.51 billion. Pure Storage officially completed its rebrand to Everpure. Daniel's emerging thesis: the agentic era has focused enormous attention on memory and compute, but after the inference runs, the data has to sit somewhere. Storage has not seen its full inflection yet and Everpure is well positioned when that wave arrives. (Bulls and Bears)   The Decode Anthropic Releases Claude Opus 4.8 May 28  https://techcrunch.com/2026/05/28/anthropic-releases-opus-4-8-with-new-dynamic-workflow-tool/ IBM Commits $10B Over Five Years to Quantum Computing the Same Day as $5B Project Lightwell, Bringing IBM's One-Day AI https://www.barrons.com/articles/ibm-stock-quantum-computing-aafbb1eb IBM + Red Hat Announce Project Lightwell  https://newsroom.ibm.com/2026-05-28-ibm-and-red-hat-commit-5-billion-to-redefine-the-future-of-open-source-in-the-ai-era Anthropic Project Glasswing / Claude Mythos Finds 23,000 Potential Vulnerabilities Across 1,000+ Open-Source Projects https://www.securityweek.com/anthropic-mythos-detected-23000-potential-vulnerabilities-across-1000-oss-projects/ Anthropic Negotiating to Run Claude on Microsoft's Maia 200 AI Chips  https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html OpenAI + Anthropic Walk Back the AI Jobs Apocalypse Ahead of IPOs https://finance.yahoo.com/sectors/technology/articles/ai-chiefs-walk-back-job-193605798.html https://x.com/RiskCentre/status/2059397756016611668 The Flip Is AI Capex Becoming Too Expensive to Earn Its Return — and Will the Result Be a Forced Shift to Open-Source and Smaller Use-Case-Specific Models, or a Continued $725B+ Hyperscaler Buildout That Vindicates the Capex on Productivity Gains? FOR:  The shift is to open-source + smaller use-case-specific models with better token economics, not away from AI https://x.com/danielnewmanUV/status/2059822712122400975 DeepSeek 75% permanent price cut + Anthropic Claude Code restriction reversal https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026 $190B Microsoft capex + $725B+ aggregate hyperscaler capex with no analog ROI yet  https://www.buildfastwithai.com/blogs/ai-news-today-may-26-2026   AGAINST:  Salesforce Agentforce ARR crossed $1B this quarter on 28.6T tokens processed  https://www.stocktitan.net/sec-filings/CRM/8-k-salesforce-inc-reports-material-event-3b8ead2852bb.html Lenovo +105% AI revenue, +84% Q4; Dell $43B AI backlog: the AI infrastructure flywheel is converting capex to revenue today https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results NVIDIA $91B Q2 guide + $1T Blackwell+Vera Rubin CY25-CY27 reaffirmed  https://www.cnbc.com/2026/05/20/were-raising-our-price-target-on-nvidia-after-another-knockout-quarter-and-guide-.html DeepSeek + Chinese price war is a Chinese export-controls story, not a US economic ceiling story https://www.cnbc.com/2026/05/21/anthropic-microsoft-maia-200-ai-chip.html   Bulls & Bears Micron (NASDAQ: MU) Crosses $1 TRILLION Market Cap for the First Time https://www.cnbc.com/2026/05/26/micron-stock-trillion-market-cap.html Dell Technologies Q1 FY27 ACTUALS  https://www.cnbc.com/2026/05/28/dell-q1-earnings-report-2027.html Marvell Technology Q1 FY27 ACTUALS https://investor.marvell.com/news-events/press-releases/detail/1023/marvell-technology-inc-reports-first-quarter-of-fiscal-year-2027-financial-results Salesforce CRM Q1 FY27 ACTUALS  https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS  https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS  https://investor.salesforce.com/financials/quarterly-results/ Synopsys SNPS Q2 FY26 ACTUALS https://investor.synopsys.com/events-and-presentations/events/event-details/2026/Q2-Fiscal-Year-2026-Earnings/default.aspx Snowflake SNOW Q1 FY27 ACTUALS  https://www.businesswire.com/news/home/20260527027931/en/Snowflake-Reports-Financial-Results-for-the-First-Quarter-of-Fiscal-2027 HP Inc. HPQ Q2 FY26 ACTUALS  https://finance.yahoo.com/markets/stocks/articles/hp-q2-earnings-call-highlights-230459161.html Everpure (NYSE: P, formerly Pure Storage) Q1 FY27 ACTUALS https://www.prnewswire.com/news-releases/everpure-announces-first-quarter-fiscal-2027-financial-results-302783502.html

Fraud gang steals from World Cup fans Pentagon says US military targeted by location IBM and Red Hat commit to "Project Lightwell" Check out your show notes here: https://cisoseries.com/cybersecurity-news-world-cup-fraud-us-military-location-targets-ibm-and-red-hat-go-project-lightwell/ Huge thanks to our sponsor, Guardsquare Attackers are treating your mobile app like an open book. Sixty-three percent of security leaders recently detected app tampering, cloning, or unauthorized modifications. When your code runs in an untrusted environment, you need runtime self-protection and code hardening to keep attackers out. Address tampering before it starts. Learn more at Guardsquare.com.

Plus: IBM and Red Hat commit $5 billion for open source security initiative. And Snowflake signs $6 billion deal to buy Amazon chips. Imani Moise hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

SUMMARY:  Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, Software Defined Talk and Failover Media) discuss the biggest AI news stories from the month of May, 2026. SHOW: 1031SHOW TRANSCRIPT: The Reasoning Show #1031 TranscriptSHOW VIDEO: https://youtu.be/MNihDdBSteISHOW SPONSORS:Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!SHOW NOTES:Links to all the AI News covered in this month's showFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

This week Sathish Balakrishnan from Red Hat joins us to talk about using Ansible as the trusted execution layer for automation. Jef Spaleta joins to give us an update on Fedora! It's a packed episode. -- During The Show -- 00:50 ReCaptcha Going to require Google Services Framework or iOS >16.4 DeGoogled phones will fail Where we are headed No one spoke up FDroid Keep Android Open ReClaim the Net 09:20 Jef Spaleta Jef Spaleta Fedora Project Leader at Red Hat What is Fedora Governance Integrating New Contributors Jef's path into Linux Fedora AI Policy AI assisted workflow Future of AI and Agentic Space for enthusiasm 31:24 News Wire Midori 11.8 - astian.org Wordpress 7.0 - wordpress.org Less 702 - greenwoodsoftware.com Ardour 9.5 - ardour.org Thunderbird 151 - thunderbird.net Firefox 151 - firedfox.com DietPi 10.4 - dietpi.com Nitrix 6.1 - nxos.org Tails 7.8 - torproject.org RHEL 10.2 - redhat.com Ubuntu Core 26 - canonical.com GitHub Victim of TeamPCP - wired.com Megalodon Cyberattack - mashable.com Bumblebee - marktechpost.com MoonRay - phoronix.com 32:42 Meta E2E Messages Texas Attorney General sued Meta Could "taint" perception of other E2EE Unlikely companies will give you true privacy ArsTechnica 36:30 Sathish Balakrishnan Vice President and General Manager, Ansible Business Unit, Red Hat Benefits of Ansible Ansible as Trusted Execution Layer Balancing understanding Guide rails for AI Drag and Drop AI Ansible workflow Patching is no longer optional What do you want all new Ansible users to know? Everything must be automated 52:15 Feedback Call in! Email live@asknoahshow.com Tag Marlin in the GeekLab -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard Phone Systems for Ask Noah provided by Voxtelesys Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux Ask Noah Show Altispeed Technologies

An airhacks.fm conversation with Arun Gupta (@arungupta) about: learning Basic, Pascal, COBOL and C in college, early Java applets connecting to databases via JDBC, joining Sun Microsystems in March 1999 as an RMI/CORBA test engineer, the Portable Object Adapter and IIOP wire protocol, RMI-IIOP for language interoperability, J2EE 1.2 alpha release, JAX-B and JAX-RS testing, J2EE technologies migrating into Java SE, GlassFish as the open-source reference implementation, growing GlassFish downloads from zero to five million in three years, OSGi modularization in GlassFish V3, single-jar Java EE deployment, the Sun Grid early cloud attempt, the Sun Cloud REST API designed by Tim Bray, Red Hat JBoss technical marketing, recording an early docker screencast at Red Hat, Couchbase and the move to Amazon, principal open source technologist role, making Amazon join CNCF, launching Amazon Corretto with James Gosling at Devoxx Belgium 2019, the corretto name meaning coffee with liquor, Apple Open Source Program Office and the internal Apple openJDK fork used across Apple Music and Siri, Intel VP of Open Ecosystem, joining JetBrains as VP of Developer Experience, the book Fostering Open Source Culture, MineCraft Modding with Forge co-authored with his son who keynoted JavaOne at age 10, Devoxx4Kids in the US with over 200 workshops and 5000 kids taught, the not-invented-here syndrome, the conference program committee bias toward new topics, normative JSR specifications using must, shall and must not as a basis for LLM code generation, TCK and reference implementation model, Quarkus modernization of legacy J2EE applications, AGENTS.md and skill files on top of coding agents, running and weight training for mindfulness. Arun Gupta on twitter: @arungupta

We talked to Fraser Tweedale. Fraser works at Red Hat, and is on the Haskell Security Response Team. We talked about security in the context of Haskell, both technical and organizational issues, and also the political issues involved. Fraser's work is both really important and not well-known in the Haskell ecosystem, so it was high time for him to come on the show.

Fedora Hummingbird, RHEL Forever, and Red Hat's AI play: three big Summit takeaways, and why they matter far beyond Red Hat.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

Fedora Hummingbird, RHEL Forever, and Red Hat's AI play: three big Summit takeaways, and why they matter far beyond Red Hat.

In this episode, Ray Cochrane breaks down a reversible conductive glue from Newcastle University that could replace solder and finally make electronics recycling work. Additional stories cover China widening its clean energy lead, DeepMind’s AlphaEvolve scoring wins from genomics to Google’s database, Anthropic’s $200 million partnership with the Gates Foundation, Intel teaming up with McLaren Racing, and end-to-end encrypted RCS rolling out in beta. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a deep dive into Newcastle University’s reversible conductive glue, a water-based adhesive that could finally make electronics recycling economically viable. He frames the e-waste problem first: 62 billion kilos a year, with less than a quarter ever recycled. Then he walks through the silver nanoparticle chemistry, the lead-free angle on traditional solder, and the geopolitical stakes of critical mineral recovery. From there the episode pivots through energy, AI, hardware, open source, data research, space, science, and consumer privacy. A Reversible Conductive Glue That Could Replace Solder A team at Newcastle University has developed a water-based glue that conducts electricity well enough to replace solder. Unlike solder, however, the glue releases cleanly with a quick rinse of acetone or an alkaline bath. The breakthrough relies on silver nanoparticles suspended in a water-based binder. Consequently, components can be recovered intact, opening a viable path to electronics recycling at scale. Co-investigator Volker Pickert framed the second prize directly: solder has the best conductivity, but the best formulations contain lead. China Widens Its Clean Energy Lead A new Atlas Public Policy report shows Chinese firms accounted for 55 percent of $1.1 trillion in global clean energy manufacturing investment between 2019 and 2025. Battery manufacturing alone pulled in nearly half of that money. Meanwhile, U.S. companies have actively retreated from those same industries. With the Strait of Hormuz currently closed, supply chain ownership in solar, wind, and batteries matters more than ever. A separate Ember analysis showed Chinese solar panel exports doubled in March alone. DeepMind’s AlphaEvolve Scores Real Wins DeepMind published an update on AlphaEvolve, its Gemini-powered AI coding agent. The system cut genomic variant detection errors by 30 percent. Additionally, it lifted AC Optimal Power Flow feasibility from 14 to over 88 percent on the electrical grid. AlphaEvolve also found a better cache replacement policy in two days that would have taken human engineers months. Furthermore, it reduced write amplification in Google’s Spanner database by 20 percent. The pattern shows applied AI sticking, not as a chatbot but as a quiet optimizer. Anthropic and Gates Foundation Commit $200 Million Anthropic announced a four-year, $200 million partnership with the Gates Foundation across three pillars. The biggest pillar targets global health and life sciences in low and middle-income countries. Notably, the research scope includes polio, HPV, and preeclampsia. A second pillar covers AI in education across the U.S., sub-Saharan Africa, and India, in partnership with the Global AI for Learning Alliance. Finally, an economic mobility pillar focuses on agricultural productivity and crop benchmarks. Google’s AI Educator Series Launches Free Google rolled out the first 20-plus sessions of its AI Educator Series this week. The free AI literacy training targets the roughly 6 million K-12 and higher education teachers across the U.S. Modules are designed as short, snackable trainings teachers can finish in a prep period or a lunch break. Additionally, stackable workshops let educators build credentials over time. Importantly, the program requires no institutional subscription. Amazon Bedrock Prompt Optimization Goes GA Amazon Bedrock dropped its Advanced Prompt Optimization tool, now generally available across most major regions. The feature rewrites prompts to perform better on specific models and automates prompt migration when switching between models. Furthermore, a built-in evaluation feedback loop lets users benchmark against up to five models side by side. The default judge model is Claude Sonnet 4.6. Consequently, teams can stop hand-tuning string templates and focus on product work. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Arm AGI CPU and Red Hat Go Production-Ready on Agentic AI Arm and Red Hat expanded their collaboration around Arm’s AGI CPU, which is Arm’s branding for its agentic AI chip family. The deal brings Red Hat Enterprise Linux and OpenShift to the chip as a production-ready stack. Hardware specifications include 136 Neoverse V3 cores, 96 PCIe Gen6 lanes, and 12 channels of DDR5-8800 memory in a 300-watt thermal envelope. Availability lands in Q4 through Supermicro, Lenovo, and ASRock Rack. Intel Becomes McLaren Racing’s Official Compute Partner Intel announced a multi-year deal as the official compute partner for McLaren Racing. The agreement covers the McLaren Mastercard Formula 1 team, Arrow McLaren IndyCar, and McLaren F1 Sim Racing. Trackside edge compute will power real-time race decisions, while Xeon and Core Ultra silicon drive Computational Fluid Dynamics and digital twin work. Consequently, design iterations that once took weeks now collapse to days. The deal puts Intel silicon in front of every CTO watching a Grand Prix. Rust Lands 13 Google Summer of Code Projects The Rust Project landed 13 accepted projects in Google Summer of Code 2026. Out of 96 proposals, a 50 percent jump from last year, the project selected 13. Notably, three returning contributors from prior years are back. Mentors flagged a noticeable share of AI-generated submissions as a growing challenge. Furthermore, the real bottleneck remains mentor capacity rather than funding. GitHub Innovation Graph Maps Digital Complexity Researchers used GitHub Innovation Graph data to predict GDP, inequality, and emissions through the Economic Complexity Index, or ECI. Countries are compared to kitchens; the more variety and sophistication in software output, the higher the score. Germany ranks first, followed by Australia and Canada. The U.S. lands at sixth. However, the dataset only captures public GitHub activity, leaving most proprietary software invisible. NASA and Eta Space Prepare Cryogenic Fuel Demo NASA is teaming with Eta Space on an in-orbit demonstration called LOXSAT, short for Liquid Oxygen Flight Demonstration. The nine-month mission tests cryogenic fluid management techniques required for in-space propellant depots. Launch is no earlier than July 17 aboard a Rocket Lab Electron from the Mahia Peninsula in New Zealand. Successful refueling in orbit could reshape what is possible for deep-space missions to the Moon and Mars. Stealth Magma Surge Under São Jorge Surprises Researchers Researchers in the UK and Spain published in Nature Communications on a 2022 magma surge under São Jorge Island in the Azores. The surge climbed from more than 20 kilometers underground to 1.6 kilometers below the surface. Surprisingly, most of the thousands of earthquakes happened after the magma stalled, not during the climb. Consequently, scientists are calling it a stealth surge and a failed eruption. A primed magma chamber now sits closer to the surface than before. End-to-End Encrypted RCS Begins Rolling Out Apple and Google led a cross-industry effort to roll out end-to-end encryption for RCS messaging. As of May 11, the feature is rolling out in beta on both platforms. Importantly, encryption is on by default and auto-applies to new and existing conversations. A lock icon in the chat indicates active end-to-end encryption. This quietly raises baseline privacy for billions of cross-platform messages. Cochrane signs off with the usual ecosystem mentions: GNC Insider at geeknewscentral.com/insider, the show newsletter, and modern podcast app recommendations at podcastapps.com. The post A Reversible Glue that could Replace Solder #1865 appeared first on Geek News Central.

In this episode, Frank La Vigne sits down with his Red Hat colleague Christopher Newland for a deep dive into the evolving challenges and opportunities at the intersection of AI, open source, and enterprise technology.Fresh off attending both IBM Think and Red Hat Summit, Christopher Newland shares insights from two very different industry perspectives—executive strategy and hands-on engineering. Together, they explore the elusive “last mile” problem in AI adoption, the rise of agentic systems, the critical role of harnesses and runtimes, and why memory management is becoming the next frontier.Plus, they discuss the practical realities and future potential of tools like OpenShift AI, IBM Bob, and open source alternatives. Whether you're a developer grappling with implementation details or a leader focused on ROI, this episode has something for everyone navigating today's fast-changing AI landscape.LinksChristopher on LinkedIn -https://www.linkedin.com/in/cjnuland/Watch this episode on YouTube -https://www.youtube.com/watch?v=xlkPPt5YeY0Time Stamps00:00 Comparing IBM Exec and Red Hat Conferences05:24 Challenges in AI implementation06:56 Challenges in scaling microservices11:38 Integrating AI with project management14:23 Debate on AI model vs. harness16:54 Discussing model evolution and limitations22:54 Affordable Power BI Courses Bundle25:19 Separating and managing runtimes27:02 Using semantic routing for requests30:15 Agent memory and compression basics36:02 New AI approach and vision38:49 Developing a multi-agent system40:40 Importance of data chunking