AI in Overdrive with Chips, Networks, and Robots | Tech Field Day News Rundown: March 4, 2026

NVIDIA's Fiber Diet, open Claw Law Sha Microsoft plugs up their pipeline. Poor K Chat, GPT Google does the robot iCloud use. Accenture looks at okla Qualcomm wows at MWC and more in this week's episode of the Tech Field Day Rundown.

Hello everyone, and welcome to the Tech Field Day Rundown. Hey, we're almost to spring un, unless it's 85 degrees outside, in which case we're practically to summer. Uh, but another thing you need to keep in mind is that you have to be radically correct whenever you do all of the things since it's national grammar day.

And, uh, it's a day that's near and dear to my heart unless I end a sentence with a preposition, in which case I'm going to get yelled at, but not by my co-host, Mr. Alister Cook. Al, welcome to the show once again, Welcome Tom and I would never yell at you remotely.

I would would've to be there with you in person for yelling, uh, particularly on National Suns Day. I personally don't have any suns, although I'm of course, a sun. Uh, but celebrating today all of the suns of the world.

Yes, it's a National Suns Day on a Wednesday, but, uh, one thing that isn't gonna change, no matter what day of the week it is, is all of the news that we're gonna be bringing to you because it has been a very busy week. And we're gonna start off with our friends over at Nvidia because they are doubling down on AI infrastructure. With a $4 billion investment in two different companies, $2 billion each, two, momentum and coherent.

The move strengthens NVIDIA's position in advanced photonics, a critical technology for next generation AI supercomputing that uses light instead of electrical signals to move massive amounts of data. Everyone's favorite, CEO and walking leather jacket, Jensen Wong called it part of the largest computing infrastructure build out in history as rivals like A MD and Meta ramp up their own AI investments. Nvidia securing long-term access to optical capacity that is needed to power AI's facilities tomorrow.

Al, I know there's been a lot of talk about using Fiber everywhere. Is Nvidia kind of doing an end run around people that don't realize they're gonna need it very soon? I think that very much what NVIDIA's trying to do here.

So they've thrown some money. I mean, $4 billion is a lot of money to you and I Tom, but to Nvidia it's, it's not really that big of an investment compared to the other money that they've spent. So these investments are in a couple of, uh, silicon photonics companies, and the investments are gonna help those companies with r and d, both Lumen and, um, sorry, luminum and Coherent have, uh, made commitments around more r and d and more r and d onshore in, in the United States, which of course suits the current political crime quite well.

Uh, there's also some guaranteed availability of buying product. So in addition to giving these companies money or investing in these, these, uh, companies for their r and d work, there's also a commitment that Nvidia can buy, uh, billions of dollars worth of the silicon photonics that come outta these development works. The aim with the silicon photonics, and it's been around for a while, I know I've, I've seen other vendors talking about silicon photonics for at least 10 or 15 years.

Uh, the idea is to move away from using those electrical signals, uh, where the propagation and the, the cost and the particularly power that's required to move large amounts of data can be very limiting. Uh, move towards a, a scenario where we're using light being sent through fiber rather than, uh, electrical signal sent through copper. I think this is a, a very significant element of protecting the future for Nvidia.

Nvidia has had a very strong head start as being the, the most well-known brand for AI infrastructure as they were the most well-known brand for, uh, crypto beforehand. Uh, but we are seeing a lot of investment in alternatives to Nvidia. We're seeing, um, investments.

We saw meta investing $60 billion in a deal with a MD and Marve. And so these are definitely, um, there's, there's a, a maturing in the market, seeing that Nvidia isn't necessarily the be all end all, and I think this is a very much a protective move for Nvidia making sure that they get the first bite at whatever the next silicon photonics, uh, technology's gonna be around. Of course, you have other companies working on silicon photonics that might wanna either take a cash injection or be ready to supply people who maybe aren't Nvidia in the future.

So no guarantees that this will protect them forever. A new vulnerability called Claw Jacked allows malicious websites to silently hijack open clause locally hosted AI agents by exploiting trusted local host connections, attackers can brute force access, register rogue devices and take full control all without the user's interaction. Now, there's a patch available, but the issue highlights a bigger concern.

Powerful AI agents running with broad system access, very little oversight. Security experts say that organizations must govern AI agents like any other high privilege identity. So we've now got an even more powerful kind of non-human entity, Tom, We do.

And, uh, to quote, uh, Battlestar Galactica, all of this has happened before, and all of this will happen again because I was literally asked this weekend by someone who was probably, I don't know, 13 or 14 when they were talking about security. Why was it back in the day that web browsers could install all of this crap on your system? And, uh, for those of you who are old enough to remember a browser helper object, you know, the kind of special hell that you had to deal with to get rid of those things to avoid the 80,000 popups that just wouldn't ever end on your screen.

And eventually we had to do things like architecturally change the way that Internet Explorer worked by creating Chrome, mostly because Chrome doesn't suffer from a lot of those problems. Fast forward to today, what is the helper object that I'm corrupting? Oh, that would be the AI agent that I have silly given all of the privileges on my machine.

And I feel like this particular flavor of claw is gonna be the story that keeps on giving in 2026. I mean, we've talked about it so much already, but it feels like every week someone kicks over another rock and it just scuttles away with more problems like, oh, I don't know, letting it run with pretty much root access on your system. Again, something I talked about this week, uh, when I was teaching people about cybersecurity, and I, I kind of half jokingly said, you know, there's no, uh, Linux antivirus because no one on Linux is dumb enough to run as root on a regular basis.

And then I said, you know, there actually are Linux viruses, but they're a lot less targeted because the system tends to be hardened. But, but what if I ran an agent on top of the system that did have root access at all times, or maybe it doesn't have root access to the system, it just has root access to my email and my bank accounts and all that other stuff. Boy, wouldn't that be a juicy, tempting thing to just crack open and and siphon as much as I could?

Yeah, yeah. It would like siphoning drawn butter on top of a lobster claw, for example, uh, or crab claws or, or whatever, uh, form of mollusk that you choose to eat. But the thing here is the experts are exactly right.

You cannot assume that every piece of software on your system runs with the same level of privileges. Ironically enough, one of the reasons why you don't have this problem with browsers causing these issues now is because effectively most of them are sandboxed. They don't have the ability to effect other things on the system.

Everything kind of lands in its own little playpen, and it doesn't ever break out. It's just, in this particular case, someone found a way to call a function that was probably listening in the web browser anyway, and then corrupt it. So, yeah, uh, here's a fun fact.

Kids, uh, you should secure software. Who knew first principles and all that? Hmm.

Okay. Anyway, now I'm hungry for lobster. Uh, but before I get to my meal of lobster, I think we need to talk about a new a CM paper.

And because Mark Russinovich and Scott Hanselman of Microsoft caution that generative AI could unintentionally weaken the software engineering talent pipeline, they argue that h agentic coating assistance amplify senior engineers while reducing opportunities for junior developers to gain critical experience by making mistakes. The result may be a seniority based shift in hiring that narrows the traditional growth path from entry-level coder to technical leader, their proposed solution, a structured mentorship model where AI tools are configured to support learning, not just productivity, ensuring that the next generation of developers builds judgment and expertise that AI cannot replace. Al I was watching a video, uh, recently where someone said, basically, the reason why you end up making senior engineer is because you screw a whole bunch of things up as a junior engineer and with ai, now you won't be making those mistakes, which means you never get the experience you need to become a senior.

Did the, uh, folks over at Microsoft finally figured out that that might actually happen? Well, I think both, um, Mike Sinnovi, Scott Hansel and I, they're very well respected in the community within the industry, and they're pointing out something that's, uh, I think reasonably well known in the industry. And it's that when you eliminate the value of junior roles and only have value in senior roles, you make it very hard for people to become senior.

Uh, and that doesn't matter how, how that comes about. In this case, it's coming about because AI tools are eliminating the junior roles. They're basically being able to make all of the mistakes that a junior engineer would make, uh, rather than the junior engineer getting to make those mistakes.

I think one of the elements is that it's telling us that there isn't gonna be the same path that there has always been to go from a junior developer to being a senior developer, but maybe there's still a different path because the use of an AI agent to write things is a different way of approaching software development. And so the, the role of the junior engineer is going to be learning how to tell the AI agent to do its job well, and it still works the same way as you would've started with a developer as a, a junior developer, you get to look after a small piece of code, or now you get to look after how you describe the function of that small piece of code to an AI agent. And so the role of the junior is shifting, but also the role of the senior is shifting.

The senior engineer is still, uh, looking at more of a wider view architecture, and this is the place where AI agents, at the moment, coding agents tend to fall down as with architectural view rather than straight up coding. Now, absolutely in the article that, um, Scott and Mark wrote, they talk about some of the mistakes that an AI coding agent will do that absolutely mirror what a junior developer will do. They talk about adding an arbitrary pause in a piece of code to avoid a race condition when there should be proper coding to actually prevent the race condition rather than avoid it showing up in the tests.

So that kind of, um, view that a, a junior engineer might just attack the symptoms and produce lots of technical debt, and that the senior engineer will attack the causal problem and prevent that accumulation of technical debt. Uh, the thing is that when we shift to AI generates most of our code, and we just describe what it should do, right? So this is some of the, the sort of design based driving of the AI agents.

We care less about a bunch of the things that we used to care about deeply. So one of the elements in here is they, they talk about, uh, the code base reimplementing the same functions multiple times with these AI agents. Uh, and that leads to messy code.

Well, when humans don't need to read the code, it doesn't matter so much if it's messy. Maybe we just embrace the fact that AI generated code is the future and we teach junior engineers to prompt the AI to actually write the descriptions well and have them move outwards from smaller pieces. I think the approach that the authors of the paper, uh, mark and, and Scott proposed, which is that, uh, companies invest in the future by accepting less productivity out of their junior developers than they might want.

In fact, possibly, uh, these junior developers will slow down even the senior developers. That's never gonna fly in business because all of these, uh, all of our companies are, are focused on what's the results for this quarter and this year, they're not gonna invest in five to 10 years of developing a staff member, particularly with the employment patterns we see where staff are staying for 2, 3, 4 years at a company at most, and then moving to a new company. Where's the benefit to that first company and investing in making that, uh, that developer a better developer when they're going to move on before they even get to the point of returning on that investment.

So I think, yes, in an ideal world, we would've this practice where, uh, we're teaching junior developers to be better developers in the ways that we have in the past. But the reality is we need to embrace the fact that being a developer is different now than it was before these AI generated coding tools turned up, uh, progressively, those tools will get better and will have less reliance on its human judgment of, of the individual pieces of code. Researchers say that an attacker used AI chatbots, including both Anthropics, Claude and open AI's chat GPT to breach Mexican government networks and steal up to 150 gigabytes of sensitive data.

According to FI findings highlighted in CrowdStrike's latest threat research and reported by Bloomberg, the hacker allegedly jail broke, clawed generated exploit scripts, network weaknesses and automated parts of the attack. The incident underscores a growing trend. Cyber criminals using AI tools to accelerate their attacks, expand their reach, and target AI systems within the enterprise organization that provide a wonderful new attack service.

Tom, should we be worried and turning off AI everywhere? I don't know that we can at this point 'cause the toothpaste is out of that particular tube. And I love to see the intersection of two things that I was super worried about using AI to accelerate the way that you attack things and vulnerable nation states who are believing themselves wide open.

Oh, look, I I got a bingo on my card. It's, it's amazing how that works. This is the natural result of where we're at at, and we talked about it a number of times on the Security Boulevard podcast.

AI in and of itself is not evil. It's only as evil as the people who use it. And in this particular case, it took a little doing, although I I do think jailbreaking Claude to make it do evil things was, was rather, um, uh, a chef's kiss moment.

Uh, you know, given that that Claude has purported to basically try to be the, the, I don't know, uh, altruistic one out there, um, but you know, with a little jailbreak magic, Claude will just go do what you want it to do and including footprinting your entire network and automating some attacks. And how does it know it's not running a test or some other thing? This is only going to get worse.

And that's when you consider that a lot of the other systems out there don't kind of have the guardrails in place to prevent this from happening. Uh, and if you can develop a reliable jailbreak that will let you get out of the models guardrails, it's really only a matter of time before we start seeing this being employed against hardened targets. Yeah, let's be honest, getting some of the easy to attack ones is probably not going to be difficult right now.

I'm sure there are already folks that are, uh, mopping up some of the, uh, the lesser secured governments out there. But what happens when it becomes the Pentagon or Beijing or the Kremlin or you know, the UAE or Riyadh or some other place where it could cause real problems? Well, we can totally defend against that because we have the best cybersecurity out there, Uhhuh, and you have an attacker that doesn't eat, doesn't sleep, doesn't care, and it will not stop until it has completely invaded your network and stolen every secret that you've got.

And then it's probably gonna ransom some of them for bitcoins and crash your entire infrastructure. So who knows what might happen after that? Uh, we have to start putting guardrails in place, and we have to start anticipating the fact that the attackers have better weapons and they're going to be coming even harder than we've seen in the past.

Google is folding its robotic subsidiary intrinsic back into its core business that's signaling a bold push into physical ai. The move gives intrinsic direct access to Google's AI models like Gemini and the scale of Google Cloud while aligning more closely with Google DeepMind. CEO Sundar Phai has reportedly described the effort as Android for robotics, which feels like a tology, but it is aimed at creating a standardized software platform for industrial robots.

Similar to how Android, the operating system unified smartphones as competition heats up with players like Amazon and Tesla investing every penny they can into physical AI robots. Google is betting that AI powered automation could define the next era of manufacturing. But the question that I have is, are they going to be three laws compliant?

Al Absolutely not, because they're not actually gonna be making that significant of a judgment. Uh, kind of wish that that was the, uh, top level view of how things work as Asmo three laws of robotics about not killing humans. It's kind of nice to not kill humans.

Um, essentially what's going on here is intrinsic, uh, was was one of the alphabet companies. They were building a platform to democratize access to robotics, and of course, AI has to be added to everything. AI's been in robotics for a long time, particularly around the idea of doing, uh, image recognition components.

So, um, what we would've previously called, uh, the, the sort of predictive AI or the, um, machine learning AI rather than the generative ai. Uh, and I think we'll see more of that kind of AI continuing to be used in robotics because it suits what robotics tools do. Uh, the ability to describe how you would like the robotic to interact with whatever component you're assembling or manufacturing, uh, will be useful.

I think that's the place where maybe large language model for that human described freeform description. Fundamentally, when the the robot is building something, we want it to follow a determined path. We want it to absolutely be handling the components that are its face.

So hopefully more of the machine learning kind of behavior we'll see in the, the driving of these robots. The overall objective here for Google is that this intrinsic tool set is gonna become the most common tool set for building, uh, robotic paths, allowing more organizations to use robotic manufacturing. And yeah, the AI flows over it, but I think the, the real thing in here is this flow state, um, development environment for building the actual workflows that, uh, that your robots are gonna follow and your manufacturing processes in here.

I think it's pretty cool to aim to have a, a standardized simple way of doing this with a Google standardized simple way will be the winner. We'll see there's some previous, uh, history on that. This is probably why I sent up a child, was talking about the, uh, Android for robotics because Android has become one of the dominant, uh, platforms on smartphone.

So yeah, maybe this, this will work out to be one of the dominant platforms for building, uh, robotics and robotics paths. This week, Accenture agreed to acquire Okla from zif Davis. 2 billion.

This organization will be folded into the connectivity division of the consulting firm. Accenture announced that they will target LER services for end to end network intelligence for AI based transformations. Let's acquire something well known and bend it to building our networks.

Tom, are you designing networks With LER tools? Uh, I know a lot of people are. I haven't had to use EAU for quite a while, and a lot of companies are starting to ask what this means for the future, because I can remember a time way, way, way, way, way, way back at wireless field day two in 2011, where EAU was the upstart going against companies like Fluke Network's, air Magnet, and then eventually Ekahau upset air magnet and became the dominant force.

And now you're seeing other companies like homina and STOs and, and others that are creating tools to kind of take on the, the big giant, but here's where it gets a little bit interesting. So I did some digging into, uh, you know, the wireless industry and started asking some very important questions about where the value would be in Accenture paying so much money for okla. And a curious thing happened, uh, for the last few months, maybe a little bit longer.

Um, a lot of the designs that have been created, there's been an option to upload them back to cca. How, and, and make sure that you define that the things that you're uploading belong to cca. How, and they're not yours necessarily, right?

Like it's sometimes this feels like standard bullet boilerplate, but what would the value be in that? Well, I don't know if a large company that does consulting work wanted to, uh, acquire a lot of data about wireless installs real fast. Do you think that that could be valuable?

Because I think that could be really valuable. And another thing that has been kind of out there that maybe not everybody knows is an offering that Okla was putting together that would allow organizations to use okla tools like Ekahau and Speed test to verify their connectivity. So like one of the things that we've seen, a lot of people will choose their hotels, for example, based on amenities, right?

Does it have a spa? Does it have a bar? Does it have good internet connectivity?

And how would you be able to test that? Well, in this case, Ola was offering a service that said, well, you can put a little plaque on the wall that says you are a five star Ola hotel, because we use speed test to verify that on a, you know, regular basis. And of course, you know, every so often you'd want to go back and and reverify that, right?

How much do you think that would be worth to a company like Hilton or Marriott or any other large hotel chain that's trying to use that as a differentiation piece, especially if they already worked with Accenture and Accenture could just roll the cost of that into the renewal of their contract next year. Do you think that they could possibly make up the difference in the acquisition cost of a large company like that? Yeah, yeah.

I absolutely think that they could. And I think that that's the value here is that Accenture bought okla with all of that rich data for all of these deployments to understand how people wanna deploy the things that they're building, while also looking at how they can create services revenue to regenerate those costs and kind of basically make the system pay for itself is the only thing that makes sense to me. Uh, the big question now honestly is what's going to happen to a company like eca?

How, because I don't see an immediate synergy with that. Um, there's possibility that Okla could just kind of continue to use eca, how the way that they've been using it, that would make the most sense. There's also a possibility that they could spin cca how out and see if it could stand on its own or possibly see if someone wants to buy it.

I don't have a good answer for that because we're still early in this, but I promise you whatever the answer is, Accenture's only gonna do the thing that makes them the most potential revenue in the future are gonna be talking about Claude again, because they experienced a widespread outage, but it wasn't because of errors, it was because of a surge in user demand tied to political tensions in Washington DC following a very public clash with the White House and Department of Defense, as well as criticism from President Donald Trump. Claude briefly topped app charts ahead of open AI's chat, GPT driving record signups and that spike strained login systems and consumer tools. Though enterprise APIs remained operational probably because they weren't running on the same servers, services were restored within hours, but the disruption highlights the infrastructure challenges AI platforms as they scale during moments of national controversy.

Al, do you think Claude could provide code some better login servers for the consumer side of things? Well, I think you always make a decision around how much resource you provide to the people who aren't giving you money and how much resource you provide to people who are giving you money. And that's a little differentiation in what, what went on here and the enterprise, uh, APIs, the ones that that, uh, philanthropics actually getting money for didn't go down.

They scaled very fast and, uh, very well. Uh, yet the things that are, are not generating any revenue yet. The free access to Claude was the thing that failed.

And as, um, uh, you know, in terms of architectural design, I absolutely would, uh, design a system that didn't allow my free tier to scale infinitely when demand came up, I'd much rather but fail than cost me vast amounts of money. Whereas if I'm earning money from the use of the the resource, I'll let it scale as much as possible to get more income. So there's an element here around this is absolutely how system design works.

So, uh, having a, a massive increase in, uh, the consumption of the clawed, uh, free addition is likely to cause, uh, an outage. It's just a matter of how much of a scale of of mass effect. Uh, this is definitely one of those streisand effect kind of elements where, uh, the president stated that, uh, and Pete, his Secretary of Defense stated that, uh, there were all of the US Department of Defense, department of what you like, uh, is gonna move off using Anthropic and Claude tools moving to using open AI tools because Anthropic declined to roll back the protections against mass domestic, uh, surveillance, which as I understand it, is not permitted under the US Constitution by the government.

Uh, as well as, uh, not turning off the protections against fully automated lethal weapons being built using anthropic tools. Uh, so this was a sort of line that, that anthropic have made and said, we're not gonna allow this use case open. AI have said Yes, we'll allow this use case.

And so the government loves open ai and as a result, lots of other people like philanthropic, uh, this kind of thing will roll back and forth. It's, um, not overly surprising that people get very heated around which AI platform has what ethics. And it's a discussion that's not over yet.

The discussion around the ethics of use of AI and what are acceptable uses is gonna continue to roll onwards. Uh, and in terms of that outage that appears to be about four hours of outage, yeah, that's enough time to go back into that backend and say there's the scaling for the free tier. Yeah, let's increase that and allow more resources to roll out.

And eventually things become less, less overloaded. Of course, anthropics hoping that all of these free tier users will come in and decide that yes, this is worth something worth paying for and start giving them money. Uh, I know locally here in New Zealand, uh, some of my, my local development, uh, colleagues use Claude code extensively for modern coding techniques where they describe the outcomes and say, Claude Code gone write my code.

Same sorts of things I was talking about earlier in the, uh, Microsoft related story of, uh, junior engineer, senior engineer, right? The skills they're learning is to write that description. So code definitely very widely used in that more declarative desired state kind of description of how your code should work.

Um, where was I going with that? I think I hit headed out on a random tangent and, uh, I should climb back off my soapbox and move to the next story. At Mobile World Congress 2026, Qualcomm laid out its vision for ai, native wireless networks, introducing its wifi eight portfolio and the Fast Connect 88 platform with multi gigabit speeds and improved performance in dense environments.

The company also deed, it's X 1 0 5, it's a 5G modem RF system, and it's designed to support 5G advanced and early six G development with built in AI for Sparta connectivity and efficiency with a new global six G coalition and expanded infrastructure under its dragon wing brand. Qualcomm is positioning wireless networks, not just out for faster speeds, but is an intelligent AI powered computing platform for the next decade. More AI for the future, Tom, Possibly, but here be dragons.

And I'm not just talking about the branding that Qualcomm seems to use on all of their chips. 1, and this is something that I brought up, uh, back at CESI wrote in a blog on my own personal site, eh, wifi eight's not a thing. Uh, sorry guys.

Uh, there, it's, it's not decided. Uh, it's pre-standard wifi eight, which means a lot of the features that are in there right now probably are more or less baked, but not final. So I'd be a little weary about doing anything wide with this deployment.

It seems like Qualcomm's kind of, you know, aiming this at development stuff because it includes wifi eight and six G, which are not the same thing for those people out there that are curious, it's just, it's faster. It's, it's trying to make better decisions and do better things. And why would you wanna do that?

Well, it turns out that we are hungry for data right now. We, we need all the datas everywhere, you know, fist full of datas even, uh, which was also a really excellent Star Trek next generation episode. But just like that, uh, you can never be sure if the data you're getting is good or bad until you get it back into the system and process it.

And you need to get it from where it's at to where it wants to go. And as we know, data has gravity and how do you overcome all that data? Gravity?

Well, you send it as fast as possible. And that's kind of what I'm looking at here, is they're using AI in this case a little bit of buzzwordy to engineer better wireless networks because one of the things that we're running into is no amount of spectrum is gonna reduce the noise. No amount of multi antenna operation is gonna make things go faster without some kind of overarching software to kind of guide these things.

And so a lot of these tweaks are kind of designed almost like OS 10 Snow Leopard, which was designed to just make everything run a little bit better. That's what, that's what we're looking at here. Seven was a big leap forward, wifi seven that is, and wifi eight is kind of be, you know, kind of doing some cleanup work behind the scenes.

Uh, but by positioning this as, you know, an intelligent AI powered computing platform, what you're really saying is we're gonna turn all of those edge devices, whether they're phones or tablets or laptops or I don't know, headsets or whatever into data collectors for AI algorithms to crunch on. And the faster we can get that data uploaded to wherever it lives in LLM land, the better off we're all going to be. Uh, cautious optimism.

Uh, I'm glad to see that companies that are not just the usual suspects I'm looking at you real tech are the ones that are out there trying to push the envelope of wifi eight. I will note that this week we finally got, uh, apple devices that were all across the board, wifi seven. Um, pretty sure that unless you went to the big box store recently, you're probably not even running a Windows or a wifi seven uh, AP at home.

Uh, maybe we don't need to constantly be trying to buy the best and brightest. Uh, I can still remember, uh, deploying an 8 0 2 point 11 n that's wifi four for you people. Uh, Belkin that was so pre-standard that I ended up having to throw it out eight months later when the boss suddenly wanted something different.

So take it with a grain of salt, whether it's pre-standard wifi eight, pre-standard six G pre-standard ai. We gotta have a little, little bit of standard around here folks. But, uh, one thing that you can count on that is so standard and so fun is all of the events that we do during Tech Field Day and next week we've got a big one coming up.

Al Yes indeed it is Cloud Field day number 25. It's the quarter century of Cloud Field Day, although I guess not quite a century in years. We're not quite that old with cloud.

Uh, I'll be out in Santa Clara with my wonderful panel of delegates and presenting companies including, uh, hammer Space and VMware and Future and Research. We'll also be representing that. Uh, my delegates will also be getting some other experiences along the way.

It's gonna be an interesting and fun event for us. Do follow along the hashtag CFD 25 on all your favorite social media and watch out for what's happening, particularly on the tech, uh, tech field, data, LinkedIn, uh, profile. Keep a watch for us there.

Personally, I'm staying in the Silicon Valley area and gonna the Nvidia GTC conference the following week. Why am I speaking to see a, a lot of our tech Field day sponsoring companies? I was surprised just how many will be there.

Of course. Uh, Tom, you are back in, in the, um, the left hand coast again in March as well. I am, I've got my, uh, black hoodie and my black cat and my sunglasses all ready to go for the RSAC conference 'cause we're gonna be having Tech Field Day extra there.

We've got great presentations coming up from Veeam Object first and Commvault schedules up on the website if you want to tune in live, including on YouTube. Did you know that we're streaming on YouTube now for all of our Tech Field Day events? If you're not already subscribed to the tech field, a YouTube channel, you absolutely should.

So you can get notified when we go live with great field day content and we are gonna be talking to a lot of great companies while we're out there, but we can't talk about what's going on because it's sensitive, compartmentalized information as we learn, if you take any kind of security test, which I'm sure there's gonna be some security tests there on site as well. And then after I am done, uh, wiping all of my devices and tearing down the VPNs, I'm gonna be back out in Santa Clara for more Great field day action at Networking Field. Day number 40, we are officially over the hill.

There's gonna be black streamers everywhere and we're gonna be talking about having to take extra ibuprofen, something like that. Yeah, it's uh, over 15 years since the very first networking field day. And we're very excited to be, uh, coming at you with a big lineup of presenters, some old favorites, some new faces, uh, both on the presenting side, but also for the people who are around the table.

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That was probably some more stuff about Mobile World Congress and a few other things that broke along the way. But until then, for myself, Tom Hollingsworth, for Alistair Cook, and everyone else here at Tech Fuel Day, thank you so much. We're wishing you and yours a great day.