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Hands-Free to Toronto – and Back



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It may sound crazy… But there's been a strange phenomenon recently that has been sending a niche group of stocks exploding higher.
That's why Jeff has designed a proprietary new AI model specifically to identify these 24-hour phenomena, weeks before they happen.
He's hosting a strategy session next Wednesday, January 28, at 8 p.m. ET, where he'll get into the specifics of the phenomenon… and the small group of stocks most impacted.
Just go here to automatically add your name to the guest list, and we'll see you there next Wednesday.

Hands-Free to Toronto – and Back

Whether it's kicking rocks in the middle of nowhere in California…
Scouring the high plains of Idaho for a construction site with no known address…
Or meeting with policymakers and politicians to get a pulse on what's happening in D.C….
Many of my very best investment ideas come from field work.
Boots-on-the-ground research. Meeting with industry executives, founders, and dreamers – in-person…
In real life (IRL) means a lot to me.
My approach to research is the antithesis of Wall Street…
No conflicts of interest, completely objective, and backed by decades of real-world experiences.
Not sitting behind a computer in a glass office, working on a spreadsheet.
In fact, it was my IRL research approach that compelled me to get my own Tesla… something I had long classified as the world's most successful AI-powered consumer electronics device.
For years, I've been experiencing firsthand each release of Tesla's full self-driving (FSD) software.
As I've been writing in The Bleeding Edge for years, it wasn't about the capabilities or faults of each release that mattered.
What became most critical to note was the pace of improvement of the software.
Understanding that… is what enabled me to make such accurate predictions about Tesla and other players in the industry, like Waymo or Cruise.
Here's a photo of me in a Tesla in 2021, testing out a very early version of FSD.
Jeff in a Tesla Model 3, 2021
And here's a photo from 2024, when I tested out the then-current version of FSD on a Cybertruck…
Jeff in a Tesla Cybertruck, 2024
The technology was getting very impressive,very quickly at that time.
I've been writing about the technology throughout last year, and most recently wrote about version 14 of Tesla's FSD in Get Ready to Ride.
I'm serious when I say I no longer drive when I'm in my Tesla.
I am driven.
But there is one thing that I had done and had been wanting to do for some time…
I wanted to put FSD to the full test via a long road trip… in really bad weather… and below freezing temperatures.
Initiating… Destination
Who in the heck would want to do that?
Me, for one.
A bit crazy, I know, but it's the best way to research a technology: to see it for myself.
So, I took a 1,000-mile-plus road trip from the New York City area all the way to Toronto, Canada – and back.
The weather was below freezing the entire time, and there was a massive snowstorm with treacherous road conditions on my way out to Toronto. "Perfect" conditions to test out the AI.
I always get a chuckle when I hear the term "range anxiety" when it applies to electric vehicles.
It's not like anyone is going to get stuck in the middle of nowhere.
There are charging stations everywhere, and Tesla's supercharger network makes it an absolute breeze, which is exactly what I felt in the freezing, windy conditions.
Below is a picture of my Tesla and me in the middle of nowhere in New York State – specifically Roscoe, New York, population roughly 500.
It was one of my charging stops on my way to Toronto.
When I set my destination for Toronto, I simply told Grok – which is integrated with Tesla's navigation system – the hotel where I would be staying.
The software then mapped out the most optimal route for me to get there, using the supercharger network.
The way the system works is that it has you arriving at a supercharger around the time you have about 10% battery remaining.
Then you charge your Tesla with enough electricity to get to the next charging station – again, with about 10% left in your batteries.
I didn't even have to touch the wheel.
The Tesla FSD navigates fully autonomously to each supercharger station… and reverses back into the charging stall.
All I had to do was get out and plug in.
That's it.

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Announcing Jeff Brown's New AI-Model: 24-Hour Fortunes

This coming Wednesday, January 28, at 8 p.m. ET, for the first time ever… Jeff will reveal his brand-new, proprietary Artificial Intelligence model designed specifically to identify a strange 24-hour phenomenon that has delivered gains big enough to turn $10,000 into $101,700… $151,600, and even a mind-blowing $650,000… All in a 24-hour period. Click here to save your seat.
(When you click the link, your email address will automatically be added to Jeff’s guest list.)


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"We're Entering the Greatest Energy Bull Market Since the Industrial Revolution" – Larry Benedict. Click here to get the details…


Deteriorating Conditions
As I was driving through New York state, the conditions got progressively worse.
It was snowing, windy, and a few degrees below freezing with slippery conditions. Even on a four-lane road, most cars were sticking to just one lane due to the bad conditions.
As we can see in the picture below, there was no way to see the double yellow lines or the white lines that define the lanes on a road.
This is the advantage of Tesla's vision-based system.
It doesn't need to see the lines on the road to navigate. It can use the tracks of vehicles to determine where the road is.
One of the nuanced problems that I would have only discovered through field research was that the rear camera could become occluded due to snow/slush buildup from the weather conditions.
Below is a picture of what happened throughout my trip out to Toronto with the rear camera, which sits just above the license plate.
It wasn't a big deal. It's just that if the rear camera is completely covered, the Tesla can't reverse into a supercharging stall autonomously.
So, every time I stopped to charge, I made sure to clean off the rear camera of any snow/slush buildup. Problem solved.
As the weather got worse, I could no longer see the black asphalt of the road or the road surface markings.
The roads were all-white, and traction was degraded due to the heavy snow and the fact that many of the roads had not been plowed or salted yet.
Despite the nasty conditions and lack of visibility, Tesla's FSD had no trouble at all autonomously navigating through the terrible conditions.
The only thing I did was set the Tesla FSD mode to "Sloth" – to slow it down to a more cautious pace. That's it. Still, I didn't have to touch the wheel.
By the time I made it to the bridge that crosses over to Canada, the conditions were really nasty.
It was freezing rain, and the roads were incredibly slick. The reality is, the freezing rain was freezing to my windshield… And despite my below-freezing washer fluid, it wasn't cleaning the windshield.
And yet, all I had to do was sit back and let the AI do all the work.
It would have been uncomfortable for me to be driving in those conditions. And incredibly, FSD had no trouble at all.
Crossing the Border
The only time I had to take control of the wheel was at the border crossings.
FSD managed the start/stop conditions in the line to the immigration officer, but the FSD is not trained on border crossings and conversations with immigration officers, which makes perfect sense.
But the moment I cleared immigration, I turned my FSD back on again, and it took me straight to my hotel. It even parked autonomously, right in front of the front door of the hotel.
While I was in Toronto, I never drove.
I simply told Grok where I needed to go, pressed "Start Self Driving" on my screen, and that was it.
It took me flawlessly to my destination every time, and it found parking no matter where I went.
Despite parking areas being covered in snow, without any visibility of parking spots, the vision-based system could visually use existing parked cars to infer where it should park.
Even in a crowded parking lot full of snow, it figured out how to drive around to the back of the building, where there was more parking available.
And on my return during a stop in Buffalo for a dinner meeting, the car not only found the restaurant, but it even figured out how to turn down a side street and enter underneath a covered parking area to find the restaurant parking.
I have to say, I have no idea how the AI figured that one out, other than using reasoning models to determine that parking would be behind the building, given that there was no on-street parking available. It was incredible.
Coming Home…
My ride back was less eventful than my ride out to Toronto.
It was only cold and dark.
I was driven from Buffalo back to the East Coast, arriving around 4:30 in the morning. But not having to drive the car made it a lot less stressful.
With some coffee and Grok, I was able to do research through in-depth conversations with an AI while being driven back east. It was ironically very productive.
All told, I was driven a bit more than 1,200 miles, hands-free, by a fully autonomous AI.
I didn't have to touch the wheel at all.
From my garage to a parking place at my hotel and back again. It was Level 5, fully autonomous technology.
Of course, I knew this was the case, having driven hundreds of miles on much shorter journeys, but it is always good to experience it firsthand.
Those fringe cases where Tesla's FSD excelled with freakish accuracy…
I have to say, while I know it isn't sentient, it feels sentient.
It takes the appropriate action right when I think something like, "I would change lanes here." Or, "I would drive around and look for parking in the back."
And as I rounded the corner to pull into home, I couldn't help but think…
It's as if my thoughts were manifested magically by the AI, teleporting me stress-free to my desired location.
This is something that you must experience to grok.
There is no other way.
Jeff

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