Apple Replaces AI Chief After Apple Intelligence Struggles | Tech Field Day News Rundown: December 3, 2025
Nokia is investing $4 billion to expand U.S. AI-ready network infrastructure, focusing primarily on Bell Labs and additional facilities in New Jersey, Texas, and Pennsylvania to strengthen connectivity, national security, and its NVIDIA partnership. At the same time, AWS is committing $50 billion to grow AI and supercomputing capacity for U.S. government agencies, adding 1.3 gigawatts of secure cloud infrastructure across classified regions to accelerate missions like cybersecurity, drug discovery, and federal data processing—making it one of the largest government cloud investments to date. This and more on the Tech Field Day News Rundown with Tom Hollingsworth and Alastair Cooke.
Time Stamps:
0:00 – Cold Open
0:34 – Welcome to the Tech Field Day News Rundown
1:15 – NVIDIA Commits $26B to Cloud as AI Competition Heats Up
5:17 – Qualcomm Sparks Outrage by Locking Down Arduino
9:42 – NATO Chooses Google for Secure, Air-Gapped Cloud
12:47 – Amazon Leo Unveils Gigabit ‘Ultra’ Antenna and Starts Enterprise Preview
17:18 – Splunk Donates OpenTelemetry Injector to Simplify Legacy App Monitoring
20:57 – Google Explores AI Data Centers in Space with Project Suncatcher
25:24 – Nokia Invests $4B to Expand U.S. AI Network Infrastructure
29:08 – AWS to Invest $50B in Government AI and Supercomputing
32:11 – The Weeks Ahead
33:26 – Thanks for Watching
Transcript
Sumo logical ai open AI's, Mixpanel. Mix up HPE preps, a Pentagon project, take over Scamming for Fun and profit AWS and Google attempt to make multi-cloud easy Again, LogicMonitor catches Catchpoint. And we're gonna take a closer look at ai Apple's AI Executive Exit in this week's episode of the Tech Field.
A rundown. Hello everyone and welcome to the Tech Field, A rundown. Today is the 3rd of December.
We are in the final month of 2025, but the news just keeps on rolling and we hope that you're doing something rather secure today for all of those holiday packages that have probably been delivered to your doorstep recently. Uh, did you know it's National Package Protection Day? Who, who could have known?
Uh, but joining me of course, is my protection, my, my bodyguard, and a guy who makes sure that I don't mispronounce any more names. Mr. Ster Cook.
Al, it's good to see you again. Well, it's good to catch up with you, Tom, and to catch up with the latest news on National Roof over your Head Day, and I understand that that's fairly important at the moment to keep the snow off your head where you are. It also keeps the sun from burning my not so covered here.
Yes, folks, this is the joy of having a global news show is that, uh, some of us are super hot, some of us are super cold, but what is always hot is the news that we're bringing you this week because we got some real fun stuff. We're gonna kick off with a story from Sumo Logic because they're rebuilding their AI approach with two new agents. One is known as the knowledge agent, and one is an SOC analyst agent, and an early version of Model Context Protocol, MCP server support that will serve as a foundation for a more open, unified system for IT and security operations.
Uh, this was announced at AWS Reinvent 2025, which is happening this week, and the shift aims to make it a lot easier to manage many AI agents and improve collaboration between security and IT teams, while also keeping humans in the loop. Full MCP platform support is planned for 2026, which will eventually allow organizations to plug in their own custom AI agents as AI driven operations mature. Al is Sumo Logic on the right path here by kind of revamping what they're doing and adding MCP support?
Absolutely. I think this is kind of vital for anybody who is building applications that need to deal with a large amount of data, and particularly data from a variety of different sources. And that's essentially what Sumo Logic's all about, is ingesting all of your security related log information.
All of the, uh, data flows coming in. We've discussed this on the rundown before, there is absolutely a need for AI tools and particularly ag AI tools to go and take actions and response to some of the Ag agent AI attacks that are turning up. So we're definitely seeing more of that arms race and vendors and the security and logging and pretty much any defensive space need to be on, on board with making sure that they can respond as fast as attackers can attack.
And this is in itself, this is just following standard best principles around how you build security and defense. You, you need to be able to respond at least as fast as, uh, as the attackers are changing their moves. Uh, it'll be a little while as, as we see the MCP server, which is gonna allow us to integrate the Sumo Logic part of the AI into our wider ai uh, context, our wider AI application set, it's coming, it'll be a generally available in 2026, so you can certainly play with it now.
And we're not sure when in 2026 because of course we are less than a month away from 2026 itself. Um, definitely seeing this, uh, use of MCP as a common way of gluing together multiple AI tools to get the best outcome that you can get. And, uh, Sumo Logic is definitely talking about having more of these Ag agentic AI tools coming out over time.
It's still fairly early in enterprise acceptance of ag agentic tools actually making changes to things like your security posture within your organization. And so it'll take a little while to build up the trust that these tools will actually do what we want and won't be influenced. Unduly won't then become an attack vector themselves, as of course, any automated response system is an attack vector for, uh, for an attacker.
So lots of work to be done here. Uh, great to see it going along. And of course, this was announced at AWS Reinvent 2025 going on right now.
We expect to have a lot more to say about what was announced at reinvent on that next episode of the Rundown, and I imagine there'll be plenty of AI on that. Speaking of AI open, AI says that a security breach at Mixpanel. Uh, so former analytics vendor exposed a limited information for some API users, including me.
I got an email telling me that open ai, uh, was aware that Mixpanel had been compromised and that names emails, rough locations, brows details, and user IDs were exposed in this. Uh, it wasn't OpenAI systems that were, um, compromised. It was systems that received data from OpenAI.
So, um, this, this should be no chats, no prompts, uh, no API, keys passwords or payment data involved. And OpenAI has removed Mixpanel notified effective users, including yours truly, and is reviewing other vendors of CO as well, because of course, if one of the vendors can be compromised, maybe others, um, users are urged to watch for phishing attempts and enable multifactor authentication as they should already have an open AI will continue to monitor the situation. Tom, does this surprise you or give you any reason to be concerned about using open AI tools?
No, it doesn't. And this is very reminiscent of last year's big Ticketmaster and Satan database breaches that all had the same common route that they were all running Snowflake and somebody forgot to turn on two-factor authentication. This is kind of table stakes, if you wanna call it that when you are working with companies that you kind of partner with and, and mix panels no different, uh, you know, open AI's job is not to build analytics.
Their job is to build an LOM that, uh, tells you how many Rs there are in the word strawberry sometimes. Uh, but what they're really doing is they're, they're offering these integrations with tools like Mixpanel to say, okay, well if you wanna farm this data out to these people, then you know, we'll do that and, and let you kind of do whatever you want to do. But how do you get the data from OpenAI into Mixpanel?
Use an API. And that's basically what happened here is that somebody got into Mixpanel and kind of breached their database, and when you breach them, you get all of the connecting information between Panel and OpenAI, which in this case is names, email addresses, and API keys. Uh, you know, first things first, invalidate all the API keys.
Uh, OpenAI already went in and yank Mixpanel out. It's not even an option. They slammed that door shut.
But as I said on a, uh, recent episode of Security Boulevard, which I believe will be coming out in the next couple of weeks, um, this is kind of what you have to do if you want to enable systems to talk to each other, right? You can't close the door completely if you want to integrate, you know, think of it like an active directory federation. Like there's a certain amount of information that I'm gonna have to share between those two systems in order for them to be able to talk to each other.
Does that mean that there is a possibility that something bad could happen if one of those systems gets breached? Yeah, but my job is not to prevent the communications. My job is to design the system so that if the breach does happen, it is minimally invasive and easily, uh, cleaned.
And that's exactly what happened here. I don't necessarily fault OpenAI for this because OpenAI did what any other company in this situation would do. They partnered with somebody that they said, we are reasonably sure that you're taking all those precautions.
They didn't. They got breached. OpenAI closed the hole, like, that's how you're supposed to do these things.
So I think the fact that OpenAI had to disclose that they, they were, they suffered from this because of one of their partners probably was more news than the actual breach itself. But I, I don't know that how you could have prevented this if you're OpenAI other than saying, well, we're not gonna partner with anybody, which honestly reduces the utility of using open AI in the first place. So lesson out there to all of my security friends, well, two lessons.
One, make sure your Subscribed Security Boulevard podcast that we produce, uh, here at the Futurum Group. But second thing is make sure that your defenses are ready to step forward just in case someone manages to breach you and, and get on the beach, so to speak. HPE won a $931 million 10 year contract to expand the defense department's secure private cloud.
The project uses HP's GreenLake platform to give the military cloud-like flexibility while keeping sensitive data on controlled infrastructure. It supports multi-tenant workloads, central management and AI ready systems, which is another step in the Pentagon's ongoing IT modernization push. Al, we've covered the Jedi contract a number of times in the past, and, uh, that was a whole lot of drama that I really don't care to revisit again.
How did HPE slip in the back door with GreenLake and, and make this into something that they can and hang their hat on? Well, it seems that this is a relatively small purchase. Last week on the, the rundown, we covered the, uh, $50 billion for, uh, a Amazon or AWS build out for defense.
Uh, so when we look at sub billion dollar spend, uh, I know it's a lot of money and I much rather it was in my bank account. Uh, it's, uh, it's not that huge of a spend. So maybe this was just a, uh, an ongoing piece, uh, of, of development.
Uh, I like that this is centered around HPE GreenLake, private Cloud, uh, being deployed and, and to take workloads that don't suit pushing out even into the regulated cloud environments. Uh, defense networking is always very complicated. There's always different levels of security required and, um, good very strong isolation between those, the different environments to be they secret, top secret or operational, all of those, those separations.
So, um, this is, again, delivering things like AI readiness into the infrastructure for those more secure locations where you can't farm it out to open AI And, oh, oh, hang on. Did we just mention that? Uh, yeah.
So bringing things on premises, putting these into air gaps, locations where there is no internet connectivity, uh, provided as well. Uh, but still with centralized management across those secured networks, across each of those secured networks, you have to manage each of them separately. Uh, it does sit within that wider wave of lots of money being spent on upgrading and improving the, uh, compute environment and modernizing applications for defense.
Say, $931 million is a, a good big spend for, uh, uh, the, the customer who is, um, yes, buying some infrastructure, but on the scale of investments for government and defense spend, uh, computing spend alone, it's, it's not a huge amount of money. It is looking after those highly secured networks, highly secured applications, and potentially being used globally with thousands of users. So this could well be lots of very small, at least on defense scale.
Lots of very small deployments. I've seen, uh, entire clusters put into, um, units that can be deployed out the back of a, a cargo plane and, uh, land on a field and then be assembled up. That kind of infrastructure is the kind of place where it really is air gapped and, and needs to remain that way.
There's no indication that this is about air deployable data centers, but it is, uh, HP is GreenLake getting a, a big thumbs up from Department of Defense, the FBI says that scammers opposing as bank staff, and they stole over $262 million this year by tricking people into giving up information they shouldn't. Social engineering is still at the, the core of odd of hacking, whether that's logging credentials or multifactor authentication codes, uh, all of the usual kind of ways of getting in front of people, texts, calls, emails, websites that, that look like your bank site and aren't, um, all kinds of things. Attackers gain access to your credentials.
They convince you to give them your information, and then they drain your money, whether it's getting into your company's financial systems, payroll, um, crypto wallets, account takeover, and phishing is on the, on the rise. Users are still practicing poor security habits. Experts, uh, suggest strong passwords, multifactor, authentication and skepticism.
My skeptical colleague will advise you some more on this. Mr. Hollingsworth.
Um, go look up XKCD 5 38. Everybody knows this one. You know, we don't need to create this massive quantum encryption state machine to steal valuable data from folks.
We just drug them and hit them with a $5 wrench until they type in the password. That's really what this is about. As much as we talk about, you know, using AI to create these things and quantum resistant encryption and all this other stuff, most of the time the fastest way to get access to a system is to call somebody and pretend to be it.
Uh, I reference again, the Seminole 1995 were hackers. Uh, Eddie Vetter doesn't work in accounting. He does not need you to read the number off the back of the modem to gain access to the tape library at the local public access station.
The real ones no zero, cool for life. Now, this, this is a thing. We, we have gotten to the point where we really have educated people about as much as we can.
It, we've just gotta reinforce things. One, strong passwords, but better than that two multifactor authentication and pass keys. Um, I had to reset a password today that I managed to have forgotten.
And, uh, in the meantime, when I was in there, I also turned on MFA for that account and looked around and it didn't have passkey support. And it needs to have passkey support because that prevents these kinds of things from happening. And third and most importantly, never ever, ever, ever give any of that information to anybody when they call you.
Um, I, I think I've mentioned this before on the rundown, but I had a friend who called me in a panic because her daughter's Instagram account got compromised. Um, and the way that it worked was a friend of hers on Instagram messaged the daughter and said, Hey, I got locked out of my account. You're gonna get a five digit code texted to you.
Can you please give me that code? Y'all know what happened next, right? Because she immediately got forced out of her account password, email changed instantly while I was on the phone trying to troubleshoot this like that.
That's how fast it takes folks. They are really, really good at this. Never give anybody your password, never give anybody any codes that you are texted.
If you didn't request it, do not read it off to anybody. If someone calls you saying they're from it, from support, whatever, because we all know emails are probably a scam, but even if they call you, don't answer anything. Don't give them any information.
Hang up and call the number back because odds are good. You can spoof caller id, I've done it before when testing systems odds are good that they're not doing it for legitimate purposes, but why would they wanna steal anything from me? I, I don't matter to anyone, really, by the time they've cleaned out your bank account and your savings account and your investment account, because you use the same password on all of those, and I hope you didn't use the same password on that crypto wallet that you have hanging around on your desktop or that you've uploaded to the cloud.
Do you see how it's basically kicking in the front door and swiping whatever they can get their hands on as fast as they can get to it before you can change all the passwords? Yeah, that's what they're looking for. They're looking for easy cash outs.
And your bank isn't going to help you if you are the one who gave them all that information, because to them, it looks like a legitimate transaction. Be smart, educate yourself, educate your family, especially young kids and older parents and grandparents. 'cause if we can stop this, then, you know, who knows?
Maybe, maybe we don't have to have the story again, again, again, AWS and Google Cloud have launched a joint service that lets companies quickly set up fast private connections between their two cloud platforms. This partnership, which honestly is a little bit unusual for fierce competitors like AWS and Google replaces today's complex manual multi-cloud networking with a simple click to provision link built from AWS interconnecting Google's cost, cross cross-cloud interconnect. The companies also released an open standard, which they want to use to encourage wider adoptions With early users like Salesforce, praising simplicity and reliability, the move reflects growing cluster demand for smoother, more secure multi-cloud setups.
As businesses rely on more multi-cloud providers. Al, was this something that customers really were asking for? Or is this an olive branch to the rest of the industry saying, see, we can play nice.
This is absolutely something customers were asking for, and they've been asking for it so much that, uh, recently in the, uh, UK competition and markets authority, both AWS and Google said it wasn't needed. And that multi-cloud and interoperability is not a barrier for customers. The fact that they cannot, uh, that customers cannot just simply join together the networks that they've crafted inside AWS to the networks they've crafted inside Google apparently isn't a, an impediment.
Uh, the reality is customers want to care as little as possible about the mechanics of connecting together their hybrid multi-cloud environments. They want efficiency in that data transfer. If they've got part of an application on AWS and private on Google Cloud, they want to be able to get connectivity between them to be, uh, fast and efficient and as lower cost as possible.
I really like that this is being, uh, described as being entirely software. Historically, whenever we wanted to connect a cloud provider's network to our own, somebody had to patch some fiber cables and we had to send somebody to a data center for it. That severely restricts our agility for making those changes.
And particularly means we're not gonna make them in response to something like a change in availability of services. There's a line being drawn out to AWS's outage that if there was, uh, the outage last month, if there was easier connectivity to other clouds, we could have potentially transitioned our workloads between them. Uh, I'm not sure that that's the actual reality for most customers.
Uh, it is often that they have applications that live in one cloud that they need to talk to, uh, applications running in another cloud. This is definitely a good thing for customers to be able to easily and to connect between their multiple cloud providers. And if the standard is properly open and not heavily biased, we may well see uptake with other cloud providers.
Of course, Microsoft Azure is the, uh, big name that's not on this announcement that would probably have been good to have on the announcement. Maybe that'll be coming shortly as well. Maybe we'll get that announcement at reinvent.
Who knows? Uh, certainly Salesforce, a big customer is, is very happy with this connectivity improvement for them makes it much easier to connect together parts of their applications and partner application for this particular LogicMonitor has acquired Catchpoint to build an AI powered observability platform designed to prevent downtime. Instead, instead of reacting to it by combining logic monitors, infrastructure monitoring and AI engine with Catchpoint's internet level, uh, performance data, uh, the new platform offers end-to-end visibility across cloud code and the internet.
Customers get unified insights, fewer tools and predictive alerts that fix issues before they impact users. The companies say the deal is a major shift from reactive IT to proactive AI driven operations. How's your AI driven operations across the internet to, Well, it hasn't driven me off of a cliff yet, so I'll take that as a plus.
I, I think this is actually a smart move on LogicMonitor part because they really do have on-premises enterprise IT infrastructure, that market kind of locked up, right? They're iterating there by providing AI driven, uh, insights and things like that. But what you're missing is visibility outside of the firewall.
Why would that be important? I don't know what's happened in the last month. Uh, Amazon botched a DNS update.
Uh, CloudFlare botched a robot's file. Oh yeah, the internet went down. So my stuff on online, on on site works, my stuff online does not, whose fault is it?
Well, we know what happens. We get the finger pointing, whose fault is it? I don't know.
How do I fix it? I don't know. But at least with LogicMonitor now having Catchpoint visibility built in, you can figure out where the problem is to know where you need to be making the phone call to make it happen.
And I think that that's something we're gonna start seeing more and more. You know, we saw Cisco buy a thousand die. We've heard a lot from our friends at Kente about doing this, uh, many times at, uh, networking field, a but also at Cloud Field A and a lot of other places.
And Catchpoint has also presented recently at, at Cloud Field a and I think that what you're seeing is the shift to say we need to have a source of intelligence to feed to our AI algorithms to be able to provide insights into where the problems are. Now, the outage thing is probably like the big winner here, but it's important to understand that any kind of latency or delay in the system impacts your users and you need to be able to keep an eye on that, right? Are you seeing latency growing on a link over here?
Well, maybe it's time for us to switch. Maybe we need to go to that backup MPLS circuit that we've had on hold for whatever rainy day problem that we might need to have. Or maybe we need to route traffic through our private network into a different DIA port so that we can get out and around whatever problems we're seeing.
Um, this is actually a huge problem for people right after we get back from the holidays here in December, uh, January, usually those first two days in January when we're back in the office, everything just kind of falls apart because, you know, the Amazon transit gateways aren't used to getting that much traffic. Well now with basically like a white lighthouse, like a, uh, uh, an observability sphere, if you will, on what's going on out there, you can see if those numbers are ticking up, if those requests are taking longer than usual. So you can kind of calm your users down and say, okay, guys, have a glass of leftover eggnog.
Let's let this storm roll past and everything will be fine. I think this is a good pickup for, for, uh, LogicMonitor. I'm happy that our friends at Catchpoint got a good exit.
Um, can't wait to see how they integrate this. I'm sure we'll be talking more about this on the rundown sooner rather than later. All right, it's time for our closer look.
I hope you wanna talk about AI because that's what we're gonna be talking about. Apple's AI Chief John Gian Andrea is going to be retiring after some delays in criticism around Apple intelligence, including the much rumored and often postponed Siri Overhaul. Amar, AYA, and I'm sorry if I butchered that.
Um, who, who was a former per, uh, AI person at Google, who was responsible for doing a lot of the Gemini stuff, been there for 16 years and most recently left to go to Microsoft in June, will now be going to Apple. He's gonna take over as the person who's gonna be in charge of Apple Intelligence, he's gonna report directly to Air Force one himself, Craig Federighi and Apple's gonna be reorganizing its AI teams a little bit. Gian Andrea will stay on and his advisor up until spring of next year, and then he's probably gonna go take his money and buy a yacht and sail around the Mediterranean or something, I don't know.
But, uh, the shakeup shows that Apple really is still trying to catch up in ai, which is mirroring some other leadership churn that we've seen in other tech companies as they kind of try to adjust to what's going on. I know we talk a lot about enterprise AI adoption, but this is an interesting problem because this is pretty much consumer-focused ai and a lot of people, if you read the forums out there are, you know, criticizing Apple for being behind on ai. And some other people are saying, well, I don't understand what the big deal is.
And of course there's talks about bubbles and stuff like that. Al, I'm gonna let you jump in here to start. Do you think that Apple is behind and do you think that bringing in the wizard behind Google Gemini is gonna be the way to fix it?
Well, apple is definitely failing to deliver Apple intelligence and AI the way we would expect. Uh, for me, one of the most telling things is we have, uh, a couple of delegates who will use chat GPT on their iPhones to ask questions and, and get background information as we're doing for our events, our tech fields, events, even if they're on their iPhone, they're not asking the question of Siri, they're asking it of chat GPT. That's, that's pretty telling.
That's saying that, uh, Siri is not keeping up with chat GPT in terms of delivering ai. And that's fundamentally what's going on here. Uh, we'll recall that Johnny, I've left Apple and went to found a, an AI startup.
This again, follows the same idea that that Apple just isn't quite getting or delivering AI as, uh, visionary people are expecting it, whether Superman can come in and shake things up enough, whether he will have enough power and, uh, that, that he can shift the thinking in Apple to actually deliver what's needed. What's wanted here remains to be seen. Uh, it's always a challenge coming in from outside the organization to try and make large changes, especially for an organization that has attempted to do a particular thing, AI in this case, and specifically generative AI for a long time and has not really delivered that hard to in and get that transition sweeping transition.
It's also interesting that the reporting line changes. So Gianna Andrea reported directly to Tim Cook, whereas Superman is gonna be reporting, uh, indirectly, and that doesn't, to me smell of we're gonna really enable you to do big things and make big changes. Uh, let's hope I'm wrong.
Let's hope that Siri actually becomes the, the new interface that we're gonna use to gain some, uh, insights about what's going on around us. Tom, I know, like me, you're, uh, an iPhone user and, uh, have had Siri at your fingertips. Has Siri done great things for you?
Do you use chat GT on your iPhone? Uh, I actually don't. Um, I've, I've used some AI LLMs before, uh, but I'm gonna take a little bit of a contrarian view here because, well, it's my show and I can, uh, what exactly did Apple fail to deliver on, uh, audience out there?
I want you to leave a comment on this video. What, what did Apple fail to deliver on with ai? What exactly is the killer use case that you are looking for in an on-device ai?
Is it to look up the batting average for the 1953 Dodgers at a moment's notice? Because you need to do that to win a bar trivia contest. Is it every tech bro's dream of having a system that will automatically make dinner reservations for you?
That's actually a, a, a TikTok that I watched the other day. Every piece of AI that I have seen so far that is consumer focused is trying to get your phone to act like an automated executive assistant. I wrote a blog post about this recently where I said, AI is designed by people who want people to do things for them.
When you look at the executives, when you look at the senior vice presidents, when you look at the people who are showing all this off, what are they, what are they showing off? It will provide context so you don't have to read through things. It will give you insights made up or otherwise, and it will make dinner reservations for you.
It is a system designed to do things that I would have other people do. So is the killer use case for AI that I want to get rid of my executive assistant? Or in the case of people like me who don't have one, do I want a system to do that?
Is that what Apple missed on? Because as far as I can tell, there's some things that Siri can do that chat. GPT can't like anything to do with the actual device that I I'm dealing with.
And do you know why that is? Do you know why chat GPT can't turn on low power mode or send me a reminder for something? It's because of the privacy focus that Apple has had and yeah.
Alright, you're gonna leave a comment. You're gonna tell me how Apple doesn't have a privacy focus and all that other stuff and hey, I agree with you. What's Google's privacy focus?
What's, um, the, uh, the Xmi phones privacy focus? Do, do you have a, a list of the things that they've done? Uh, do you have a new story from this week where, uh, a nation state asked Apple to force an app to be put on the phones and Apple said, no, I don't think we're gonna do that, right or wrong?
Apple has been focused on keeping things as isolated as possible. Yeah, that means that the lady that lives in your phone is not as functional as chat GPT is right now. But what it does mean is that if you accidentally say the trigger word and then say a whole bunch of random stuff that you don't mean to say, it doesn't end up in an LLM database to be crunched and done all these things for years and years and years.
I don't necessarily know that there is a direction for this because remember when we talk about all this AI stuff that's going on on the other side of the fence with the open ais and the NVIDIAs and the Microsofts and the AWSs and all that other stuff, that's B2B that is selling hardware to do inferencing to create better models to do what? Because again, I have to come back to Apple is a trillion dollar company that sells phones, tablets, and laptops to people. OpenAI is worth billions of dollars.
And what do they sell? Because as far as I'm aware, according to the news stories that I've heard this week, they're gonna have to start injecting ads into chat GPT chats because they don't actually sell anything. They sell a subscription to a thing and they don't bring in billions of dollars a year from that subscription.
In fact, most of the time most people who use it don't pay for it. So I'm, I'm still struggling to understand why someone who had been at Apple for several years had to be forced out of retirement 'cause he retired, but he didn't really retire. He was told to retire.
This is a way to prevent the markets from going crazy. What, what, what are you, what what is it gonna take? Like, like, you know, this is not the Steve Jobs moment of I have a web browser and a phone and, uh, PDA in a thing in my pocket.
We're past that point. That was 18 years ago, folks we're, we're in a different world now. I don't think you're gonna get the killer app that you want, Al, am I wrong?
Usually? That's fair. That's fair.
You know, the, the, the Killer app is I think definitely a, a dead term. Um, the killer use case of not having to wade through nearly so much information, not having to try and find the little bits that I'm interested in, in the flood of information or to be able to find the place that I want to go, the person that I want to talk to. These are the things I want from, from ai.
I want it to take away all the, the drudge work. So yeah, booking a hotel is, is an entirely relatable piece of drudge work. But, uh, being able to look at the 600 emails that have come into my mailbox and actually intelligently work out which ones I need to act on, that's the kind of thing I want from a, a good ai I'm not seeing that's the opportunity is is there to help us with the information overload we suffer from.
And most people do suffer from too much message, too much, uh, information they need to process and not enough insight being delivered to them. So that's what I want from an AI that I hold in my hand every day. Of course, I want it integrated with the laptop that I have in front of me for way too much of every day.
Uh, and I really do want that consistent view of who I am and what I know, what I care about, rather than, uh, some very generic stuff. I've, I have found Siri quite disappointing at finding even as simple things as, uh, tell me where the nearest supermarket is when I'm sitting in the car park at a supermarket and Siri doesn't tell me that supermarket, there's a whole lot of things that, uh, are challenging for me in, in Syria and more development towards that intelligence. Uh, or at least the ability to handle large amounts of unstructured data and turn it into some semblance of, uh, insightful data would be very helpful.
We'll just have to see what happens, because of course, this is an ongoing story, just like a lot of other things that we deal with here at the rundown. So rest assured when when the Killer Siri app comes out, we'll we'll be sure to let you know, um, but we won't be asking it to tell us how to do that because, you know, it's a little hit or miss. What's not hit or miss is, of course, all of the great events that we do.
We are, we're pretty much done with events for the rest of 2025, but 2026 is starting off with a bang, and that's because Alistair's coming back to our side of the pond to enjoy our winter again. But, uh, you've got a cool thing coming up. I have a cool thing, although it'll be for a winter, it'll be a warm theme because we will be, uh, back in the Santa Clara region, uh, around, uh, Silicon Valley for AI infrastructure field.
Day four, I'm not expecting any snow, but, uh, it should be cooler than it's here in January. So the end of January, we have, uh, currently six different companies presenting, uh, lined up to present over the three days of the event. Quite a few more that are gonna join in as well.
I've been building out the delegate panel, some great people, some people that I haven't had at my events before. Uh, and looking forward to having some good discussions with a collection of vendors. We've got quite a leaning towards networking for AI infrastructure on this one, so that'll be an interesting insight to see.
And of course, uh, following on in March, I return again for Cloud Field Day. Uh, another of the events that I really enjoy is digging into what it actually means to use cloud as part of your infrastructure. And, uh, looking at the realities of these hybrid multicloud.
We covered a Ws and Google joining their networks together. That kind of, uh, capability is what we'll dig into some more in cloud Field Day 11 than 12th of March. Well, don't forget that we're always adding new stuff to the calendar every time you turn around.
So just because we've announced the first couple of events doesn't mean we're not gonna be in a lot of other places. com is your home for all of that stuff, so make sure you check it out. You never know when something's gonna pop in.
We wanna thank you all very much for watching the Tech Field Day rundown on this Wednesday. Remember that you can catch new episodes every Wednesday on YouTube, but also in your favorite podcast application of choice. We'd love it if you'd subscribe, uh, leave a comment, leave a rating, leave a review, a thumbs up, something, because every one of those things helps people figure out if this is something that they wanna be listening to.
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Until then, everybody, take care of yourselves. Enjoy the rest of your week and we will see you next time.