Managing Editor’s Note: Make sure you go here to automatically add your name to Jeff’s guest list for Thursday…
That’s when he’s diving into the details of the artificial intelligence he’s spent years developing… a “neural network” – an AI modeled on the human brain with incredible powers of pattern recognition – with just one job…
To identify cryptocurrency trades on the verge of surging higher.
With all the volatility happening in the crypto market right now, this AI is an incredibly powerful tool for knowing where to direct our attention when things are moving erratically. It’s built to spot the patterns that tend to pop up before volatility rears its head.
It’s specifically designed to identify digital assets on the cusp of a spike… and to spot what Jeff calls “60-day profit windows” in the crypto market.
The event kicks off at 8 p.m. ET on Thursday, November 20. Just click here to automatically sign up to attend. We look forward to seeing you there…
One of the single largest technological trends that will define 2026 will be automation and autonomous technology…
I’m not referring to the software-based automation that companies like UiPath (PATH), Salesforce (CRM), ServiceNow (NOW), and many others have been building their businesses on over the last several years. This goes beyond the employment of machine learning technology.
I’m referring to manifested forms of intelligence that come to life in a robotic form capable of navigating and interacting with, and in, the real world.
The combination of advanced semiconductors, software, and robotics technology has enabled robotic systems to solve critical problems in labor shortages. Most importantly, these advanced systems improve efficiencies by removing friction in previously complex and expensive operations.
This has always been one of my most important and profitable investment theses in any investment opportunity.
Next year will be a remarkable year in this regard.
It will be visceral. It will be tangible. And it will be easy for even non-technologists to grasp the significance of what is happening in high tech right now with regard to AI, robotics, and autonomous technology.
Millions of full self-driving Teslas are already on the road, having driven more than 6.4 billion miles autonomously. And the safety statistics are both incredible and definitive. Tesla’s autonomous technology is proven to result in 7X fewer collisions compared to human drivers.
Not only will Teslas reach the stage where passengers can nap while they are transported to their destinations… Tesla’s Cybercab will be manufactured at scale as early as April of next year and then be deployed in cities around the U.S.
Why am I so confident? Why have I been so confident in my predictions about autonomous driving technology, particularly the vision-based systems designed by Tesla?
Simple, it comes down to three different factors:
In early October, Tesla released version 14 of its full self-driving software to early testers. It was highly anticipated as it was the first major release of FSD in a year since the November 2024 release of version 13… an upgrade I covered in The Bleeding Edge – Your Kids Will Never Have to Learn How to Drive.
The videos online from the early testers of version 14 were absolutely stunning. It was, in many ways, hard to believe for most, but exactly what I had expected.
About two weeks ago, Tesla released v14.1.4 widely to its FSD subscriber base, which allowed me to experience the latest version firsthand.
I don’t know what else to say other than it is jaw-droppingly good. It’s absolutely stunning, just about flawless, extremely safe, and, in many regards, so very humanlike in its driving style.
It’s like a professional driver without any erratic driving or braking. Everything is precise, measured, and smooth.
What changed? There were clearly some major improvements to the performance of the neural network – the brain – of the full self-driving system.
It is obvious that Tesla made extraordinary efforts to train the FSD AI on fringe cases, outliers, what we might think of as the 0.1% of tail events that a vehicle might see only once in 100,000 miles.
Examples are things like what to do when a car from oncoming traffic crosses the double yellow lines into your lane. Or how to avoid a large piece of lumber in the middle of the road. Avoiding sideswipes from a reckless driver in an adjacent lane. Or a small animal running across a road. How to deal with a deer in the headlights. The list goes on and on.
The sort of circumstances humans encounter – and struggle with – on the road all the time, despite accounting for a very small amount of the overall driving experience.
For those interested, Tesla has posted a 94-second video on its website with examples of its FSD software managing outliers like the ones that I described above. You can watch that right here.
As shown in the release notes above, some of the major updates in v14 were:
But I have to say, my favorite update that Tesla listed for v14 is this: Overall smoothness and sentience…
Sentience is a powerful word when it comes to AI, but I have to say, v14 of FSD does feel really human in the sense that previous versions have lacked the intuition of a human driver. V14 has solved for that. I’m now sitting back and enjoying rides without ever having to touch the steering wheel.
I enter the address in my garage, and the car reverses out of the garage, figures out how to navigate and exit my courtyard, and navigates again over a private driveway to get to the public road.
With version 13, I had to manually drive the first few feet to get out of my garage and driveway and then take over on the last few feet to park at my destination. Now I don’t even need to do that. It’s so impressive.
Days ago, Tesla began posting in real time the number of miles driven on full self-driving (the figure does not include miles driven on autopilot, which is more than 10 billion).
Source: Tesla
As of today, Tesla vehicles have logged more than 6.44 billion miles driven on full self-driving. Years ago, Musk had predicted that his software would be fully autonomous by the time Tesla had collected data on about 6 billion autonomous miles.
And here we are, Tesla crossed the threshold months ago, and FSD v14 is demonstrating the accuracy of that prediction.
Probably more important from an adoption and regulatory standpoint is the latest data that Tesla has posted regarding the safety of its FSD software.
The numbers are absolutely striking. They make a remarkably strong argument for Tesla’s AI-powered self-driving software:
Tesla’s FSD software results in 7x fewer major collisions, 7x fewer minor collisions, and 5x fewer off-highway collisions.
As a reminder, this data isn’t coming from some kind of small, isolated trial. This data is the result of 6.44 billion miles driven by Tesla’s FSD software without driver intervention.
Even easier to understand is the chart below that highlights the number of miles driven before a collision.
Miles Driven Before a Collision | Source: Tesla
Teslas equipped with FSD (the blue bar above), driving by themselves without human intervention, have only experienced a major collision once every 5.1 million miles. It’s also worth noting that almost every single one of those major collisions was caused by a human driver in the opposing vehicle.
Even Teslas driven manually while using Tesla’s active safety features only experience a collision every 2.3 million miles. This is possible because a Tesla has 360-degree vision around the car and can see its entire environment in real time, unlike a human driver.
We can compare these figures to the U.S. average for a human-driven car, which experiences a major collision every 669,000 miles.
It’s not even close. Teslas on FSD are many multiples safer than human-driven cars.
This technology has the ability to dramatically reduce accidents and deaths from automotive accidents. In fact, it is safe to say that the more Teslas on FSD that are on the road, the safer the roads will become.
We now have 6.44 billion miles worth of data to prove how safe Tesla’s technology has become.
It’s definitive proof that Tesla’s FSD AI is many times safer than human drivers. The door has opened to a regulatory environment supportive of widespread adoption of autonomous driving technologies that have the data to back up their safety claims.
It may come as a surprise to know that in February 2019, during President Trump’s first term, he signed Executive Order #13859, which explicitly stated support for American leadership in the use of AI for the application of autonomous vehicles.
Obviously, the technology wasn’t ready back then, but the groundwork was laid in anticipation of the advancements that were coming.
Then, in January of this year, President Trump signed Executive Order #14179 directing federal agencies to identify and eliminate any regulations that were impeding the development of AI. Autonomous systems and robotics were specifically named, as were autonomous vehicles.
By April of this year, as a direct response to Executive Order #14179, the National Highway Transportation and Safety Administration (NHTSA) revised its exemptions from autonomous vehicles (AVs), enabling them to operate without traditional safety features like steering wheels and pedals.
The NHTSA also eliminated the arbitrary 2,500-unit annual manufacturing cap for AVs, which opens the industry up to mass production and widespread deployment.
And just this September, the Department of Transportation (DOT) proposed new rules around vehicle safety standards for AVs.
It even went one step further than the NHTSA, proposing that even windshield wipers and sideview mirrors won’t be required on AVs. It makes sense, after all. An AV has 360-degree vision from cameras and sensors all around the car. Those things are unnecessary in the same way that a steering wheel isn’t necessary in a driverless vehicle.
These new rules are expected to be formally announced in spring 2026, paving the way for a vehicle like Tesla’s Cybercab shown below. No steering wheel, no pedals, no sideview mirrors…
Nothing but a fully autonomous transport designed to get us safely from origin to destination in solitude.
Tesla Cybercab | Source: Tesla
Given the facts outlined, it’s no surprise that Tesla has already scheduled the start of production of the Cybercab in April of 2026. We are months away, and Tesla will scale up its production capabilities to eventually manufacture two million Cybercabs a year.
This is happening now. Not only will we see more Tesla Robotaxis around the U.S., but we’ll also begin to see the shiny, modern, gold Cybercabs shuttling people around in cities across the country in 2026.
And it will happen safer, cleaner, more comfortable, and far less expensive than what public transportation looks like today.
Get ready to ride,
Jeff
The Bleeding Edge is the only free newsletter that delivers daily insights and information from the high-tech world as well as topics and trends relevant to investments.
The Bleeding Edge is the only free newsletter that delivers daily insights and information from the high-tech world as well as topics and trends relevant to investments.
