Welcome to the podcast.
And also, I went very viral on LinkedIn and Reddit for just a crap post that I put out there.
It was really funny, but the numbers on it are hilarious and also the topic is AI-related, so I'll be covering that along with Meta and Andral's AI Glasses collaboration.
Some bug bounty AI slop struggles that the industry is facing.
A huge energy merger with NextEra and Dominion for $66 billion.
Amazon Alexa Plus doing AI podcasts.
Some companies raising money.
There's a lot going on. on the podcast today.
So let's get into it.
The first thing I want to talk about is kind of fun and funny to kick the week off.
I posted over on LinkedIn as a joke I had.
My son just took a picture of me sitting on the back of my truck with a laptop on each of my knees.
I recently got another laptop because the one I currently have wasn't powerful enough.
So I let my wife have it.
I actually stole it from her a long time ago.
So I was just giving it back to her and got a new one.
But anyways, I had a laptop on each knee and I said just bought a second MacBook Air, so I can now have two Claude Mac subscriptions running at once.
Anyways, obviously this is a joke.
I was like, let me walk you through the math.
And then I go, I proceed to say that a Claude Max plan is worth 11000 a month in raw API compute um, and basically said that because i kept hitting my token limit.
You know it's so subsidized.
You're just making so much money you you, you know you have to have this um.
And then this is the.
This is the part that i think triggered a lot of people.
I said instant roi math, the cost is eighteen hundred dollars one time unlocked capacity is eleven thousand dollars a month, the payback period is under a week, downtime eliminated 100 percent products and active development 13x.
And this, this.
Then this is the line that i think triggered people.
I said if you're still on one subscription in 2026 respectfully, you're not serious.
Anyways, this was a joke, but it blew up.
And I ended up having 250 people or actually 336 comments on this post.
It had about 100,000 impressions on LinkedIn.
And then it got screenshotted and shared over to Reddit on the LinkedIn lunatics Reddit, where someone said I can't with these people.
It had 1300 upvotes, 238 comments.
Most of them are just people being like, hey, should we tell them about virtual machines?
And then you know mostly everyone just trying to scroll through my entire work history, every company I've worked at, saying everything I've ever done in my life is terrible.
That was kind of the LinkedIn side of it.
Over on, or so that was on the Reddit side of it.
Over on LinkedIn, it was pretty funny.
There's probably a 50-50 of people that were like, ha ha, this is funny.
And then probably 50 of the people that were trying to explain to me why running two laptops with two Cloud Mac subscriptions was a bad idea and I could just run two quad max subscriptions on one account, right.
Like you get rate limited, just make a second account, log into that.
Anyways, it was pretty funny.
Every single person that commented.
I replied to them mostly just doubling down and saying they obviously didn't understand the thermal envelope of my computer or I don't know some other funny, overly technical thing.
Anyways, the results of it was actually pretty impressive to me.
On Google.
Just from that, I had 5400 people search for the name of my company, AI Box, and go to my website on the first day.
Google Search Console is a couple days behind, so I only really know what happened on that first day, but it went pre-viral the next day as well.
So It might be somewhere like 10000 Google searches for my company, because in all the screenshots, specifically on Reddit, it had my picture, my name on it.
But actually I did have a really good day and we did hit our all-time high in monthly recurring revenue and annual recurring revenue that day.
So we are...
We are jumping up on things, which is pretty funny, all from that post.
I did a follow-up post today about it, where I now have four laptops, but I think not as many people think it's real, so they're not quite as triggered by that one.
Okay, let's talk about what's going on with Meta, because I think this is a wild story happening right now over on Meta and Andral.
They both have just shared a bunch of new details about their augmented reality headset.
So they're kind of prototyping this right now with the U.S.
Army.
But basically how this piece of hardware works is that a soldier can look at a target, they can tap their temple and then they can talk in plain language.
And the glasses are going to recommend a course of action.
So it could include things like sending a nearby drone strike.
That still has to be approved, approved up the normal chain of command.
So it's not like AI is running the whole thing, but it is helping to, you know, be the interface right.
It's kind of like having Siri or alexa or something built into this.
The contract is for 159 million dollars for the prototyping phase of the army's soldier-borne mission command program, and it's not just a one-off.
The army actually announced separately in march that it's spending 20 billion dollars to integrate andrel's lattice software.
That is the engine that pulls every army sensor and platform into one battlefield picture.
And that's going to be happening across, I think, all of its infrastructure.
So the glasses are kind of the user interface interface on the front end of this kind of 20 billion software backbone.
And I think That changes basically the conversation, right?
This isn't just like a cool prototype.
Andral is really becoming part of the platform layer for AI-enabled warfare, which is very interesting.
Something I think not a lot of people are talking about right now is that these glasses are testing three different LLMs as the speech-to-text command layer.
So they're using Gemini, Llama, and Clawed.
Anthropic is not betting on any single AI company.
Obviously, Claude has so much beef with the US government.
Just that's a new story in itself that this is included in there.
And anyways, Andrew is then going to pick whatever model handles military doctrine, classified content and edge device latency best.
So they're testing them all out, not ruling Claude out, but they're testing out all the models.
Whoever does it best is going to kind of get the contractor get pulled into this tool.
So for this whole project, components apparently started arriving in March, and that's because of a bunch of federal contracting rules.
All of those parts had to come from supply chains that didn't rely on Chinese companies.
Meta's, you know, commercial Ray-Bans that they have, those can come from China.
That doesn't really matter.
But when you make these, you know, something for the U.S.
Army, they don't want to be to be reliant on China.
So I think this is also a bit of a domestic manufacturing build that's happening right now.
And Meta is building and kind of the displays and the wave guides.
Andrel does a lot of the system integrations.
Of course.
Another funny part of this is that Meta and Andral working together is interesting, considering Palmer Luckey started Oculus, got acquired by Meta and then got kicked out of Meta due to a lot of activists like Jason Calacanis, but now he's back working with them, so that's kind of funny.
Posted on x, something that's like people praying for my downfall need to pray harder anyways.
So he obviously has a chip on his shoulder, but that's good because he's pushing and trying to make some uh, you know useful software.
So There's also the self-funded Andral side of this whole thing, a project called Eagle Eye.
It's going to be built into the helmets and headsets.
The army hasn't asked for this, but Andral says that they're adding this anyways.
The next story I want to cover is actually something I've been hearing about for a while, but apparently the problem has been getting worse, so I feel like it's worth bringing up again.
But apparently corporate bug bounty programs are basically just getting completely flooded by AI generated submissions.
And so some of them are just completely shutting down.
Some of these big companies that had bug bounty programs.
They're just shutting them down, which is kind of a bummer.
Bug crowd whose customers include OpenAI, T-Mobile, Motorola.
They said that reports more than quadrupled over a three-week stretch in March, and most of them were fake.
So that's kind of the hard thing.
People will go in and tell Claude to go scrape all the code, try to find bugs and then submit kind of fake reports and it's really hard to go weed through all of them.
HackerOne, which runs bounties for Goldman Sachs, Google and the Department of Defense.
They logged a 76 jump in submissions in a year.
And what's interesting is out of that right, they saw like a 76 jump, but only, I think you know one.
One out of four was an actual vulnerability, was a real one.
So vulnerabilities are still flat at around 25%.
And most of the leads that they're getting go nowhere.
So this is a really big problem that's happening right now.
We're literally having to use and rely on AI to filter these AI bug reports.
Okay, let's talk about the huge merger happening between NextEra and Dominion.
$66.8 billion.
NextEra just agreed to acquire Dominion.
This is one of the biggest US utility transactions ever announced, and the deal is basically being framed openly as a bet on AI driven power demand.
Routers was reporting on this and apparently the combined company would be one of the largest investor-owned utilities in the entire country.
The reason why this isn't so much about utilities as it is about AI is because Dominion's service territory it covers Virginia, which hosts the densest concentration of hyperscaler data centers in the world.
If you've ever been on like AWS or I don't know like many, like VPNs or there's just like a lot of, if you've done anything with where you're picking, like you, where your server location is.
It's always like do you want it in Virginia or do you want it in, like you know, on the East Coast in, like California.
Like you usually have like a couple choices, but there's always the Virginia option, because there's just so many data centers there right now.
Ludon County alone has a huge chunk of global internet traffic going through it in Virginia.
The reason i personally think this is a really big deal is because the bottleneck for these ai buildouts is not just gpus anymore, because that was kind of the problem before, it was how you could get your hands on enough gpus from nvidia, etc.
Now I think it's not even just the capital, it's basically the megawatts and it's a lot of the interconnection queues.
Dominion's Virginia interconnection queue has stretched into multi-year waits.
There is a you know putting together a 668 billion dollars utility tie-up.
It only makes sense if you believe that ai electricity demand is structural, it's not cyclical, right?
This isn't just a big bubble.
So this would make a lot of sense.
And then, if that's the case, then owning a lot of this regulated load serving capacity is basically the most defensible position in the AI value chain.
So NextEra is making that bet.
They're pretty clear about this.
They're betting like hey, it's going to be hard for people to build more of these data centers in Virginia.
We're basically going to be powering all of them.
There's also another interesting part of this, which is that the state commissions in Virginia, Florida and FERC at the federal level all of them have to sign off.
So approvals on deals this size historically take 12 to 24 months, sometimes longer.
Definitely, there's a lot of interventions and a lot of regulation that goes through.
A lot of people are going to push hard for ratepayer protections.
But if all of this clears, if this merger acquisition, I guess you could say, is actually going to happen, I think the most valuable real estate in AI isn't just going to be the model weights, right.
It's basically the interconnection rights behind them.
Next up, Amazon's Alexa Plus can now generate AI podcasts on demand.
My job is officially at risk.
You basically can tell it a topic and it's going to show you the outline.
And then they'll have two AI hosts that are kind of talking about it.
You can adjust the length and a few minutes later, doing all of this, your echo show pings and you're ready to listen to the full episode.
Routers talked about this.
And a bunch of other publishers as well.
But I think the format's not new.
Google's Notebook LM, we've been talking about it a lot on the show, but you can do this.
You can put a PDF or you can put your schoolwork or a paper or some sort of work report into Notebook LM and it'll have like a podcast where it's two people talking about it.
A lot of people find this more digestible than just trying to get through the content and read it yourself.
But of course, notebook LM, you got to go to the website and upload it.
Whereas the Alexa, you can just talk to it out loud, tell the topic and it can put something together for you.
I could be completely wrong on this bet, but when I first started this podcast, basically my assumption was, because there was a lot of AI tools out there, I wasn't going to clone my voice and just dump in AI news to be read, because people probably wanted to hear it from a real person.
Now you can see the downsides of this theory, because right now my voice is lost and so maybe people think I sound terrible.
I don't know.
Or maybe it's just harder for me to talk when my voice is lost.
I mean, luckily it happened on like Friday, so I had Saturday and Sunday to slightly recover.
But you can see there are some pros to having an AI voice host, but you kind of miss the anecdotes from the person talking, which a lot of people like.
Okay, the last story i want to talk about is lenin ar.
This is a korean optics startup.
They just closed an 185 million dollar round of funding from the korean development bank and from lottie ventures, So they've raised total 417 million.
They actually have an IPO planned for next year in Seoul.
So what the heck does this company do?
Why is it important on this show?
This is what was really shocking to me.
Global AI glasses shipments hit 8.7 million units last year.
That is a 300% jump year over year.
And Omdia is projecting 15 million units this year.
Lennon AR, this company I've been talking about.
They don't just make the glasses, they actually make the optical module.
That is the tiny lens component that projects images onto your field of view.
Their CEO is Jaehyuk Kim, and he said that the optics module is the hardest part to get right, because it has to be thin, light and power efficient at the same time.
And every glasses maker has to source one.
So they have something called pin tilt design, which is going to direct light precisely towards the eye instead of scattering it across the lens like a dominant waveguide approach.
This is going to throw away most of the photons and it's going to drain the battery a lot faster.
They're already shipping inside a Swiss AR motorcycle helmet from Aegis Rider.
It's a spin out of ETH Zurich's computer vision lab.
And that anchors navigation arrows to the actual road at about 160 kilometers an hour, which is a super cool use case.
They have a bunch of other big customers.
One of them is called Dynabook in Japan.
LG was an earlier backer and is reportedly building their own AI glasses now.
So they're kind of working with them.
Personally, I love to talk about the companies behind a lot of the trends like AR glasses, and the companies that are winning because of that.
So this is a really fascinating story to me.
Guys, thank you so much for tuning into the podcast.
If you enjoyed the episode today, make sure to leave us a rating and review wherever you get your podcasts.
Hopefully my voice gets a little bit better.
Maybe I'll splice in some podcasts from my AI chat or AI applied podcast, if I'm not recovering too quickly.
But yeah, thanks so much guys for tuning in.
Make sure to check out AIbox.ai.
It is $8.99 a month to get access to over 80 AI models all in one place.
And also, if you want to, by the way, for the LinkedIn posts that I did.
I'll leave a link in the show notes to that.
It's funny.
But if you want to check out all of these different podcasts I talk about and get a more in-depth view as either a newsletter or as an article that you can read, go check out AIChatDailycom.
I'll also leave a link in the description to that.
All right, catch you guys all in the next episode.
