Neuralink’s 2022 Show & Tell is about to begin. The event is supposed to update the public on Neuralink’s progress and attract talent to the company.
Teslarati will be closely following the event. Please refresh this page for the latest coverage.
Tesla CEO Elon Musk recently posted about the event and hinted at an exciting update on Neuralink.
In the intro video of Neuralink’s Show and Tell event, Pager the monkey seems to be learning to type words with his mind.
Elon Musk enters the stage and welcomes everyone to the event. Wasting no time at all, Musk dives into Neuralink’s Show and Tell, starting with the company’s goals. Neuralink’s goal is to make a generalized I/O interface for the brain that could help people with debilitating conditions.
Musk hints that some of the topics covered during the event will reach an esoteric level. He reaffirms that Neuralink is confident that its device will help people suffering with brain injuries along the way to bridging the gap between computers and the human brain.
“We are confident that this point we will succeed at solving many brain injury issues spine injury issues along the way,” he said.
Musk shows a video of Pager playing “Monkey Mind Pong.” The video was released about 18 months ago. The Tesla CEO emphasizes that Neuralink’s device is not outwardly obvious to others.
Pager initially learned to play Pong with a joystick. Neuralink later took the joystick away and had Pager play Pong with his mind though Neuralink’s device.
Human Trials
Musk reminds the audience that going from prototype to production is difficult and has many challenges. Neuralink has been working hard to start human trials. The company has submitted all the papers needed to start human trials to the FDA. Musk estimates that the first Neuralink device could be inside the human brain in 5-6 months.
Elon Musk emphasizes that Neuralink treats its animal subjects with respect. The company does extensive benchmark tests before implanting a Neuralink device into an animal.
Another Neuralink monkey, Sake, is typing with his brain. Sake spelled out the Neuralink event’s welcome tag: “Welcome to show and tell.”
Neuralink Upgradeability
Both Sake and Pager have successfully implanted with Neuralink’s upgraded device.
“Upgradeability is very important because our first production device will be much like an iPhone 1 and pretty sure you would not want an iPhone 1 stuck in your head if the iPhone 14 is available,” Elon Musk.
Neuralink Application
Elon Musk says that Neuralink can restore vision, even on someone who was born blind. The company is also confident that the Neuralink device can restore full functionality to a severed spinal cord.
Recruitment
“If you have expertise in creating advanced devices, like watches and computers, then your abilities will be of great use in solving these problems,” Musk said.
Neuralink Implant and Surgical Robot
Elon Musk passes the baton to DJ, who has been at Neuralink since the beginning. DJ talks about creating a high bandwidth generalized interface to the brain. He talks about safety, scalability and access to brain regions, the three pillars to get high bandwidth generalized interface to the brain.
DJ talks about the Neuralink implant (the N1) with thin threads N1 implant is about the size of a quarter. It has 1,024 channels that are capable of recording and stimulating.
He also talks about Neuralink’s surgical robot (the R1 Robot) that will help implant the company’s device into the brain. Neuralink does a live demo of the R1 robot at work with dummy patient Alpha.
Neuralink has a double operating room (OR) in Austin. The company plans to establish its own clinic in the future.
“Neuralink’s been working closely with the FDA to get approval to launch its first clinical human trial in the US hopefully in the next 6 months,” noted DJ.
Neuralink Software
Neuralink has been working on improving cursor speed and accuracy since 2021. The speed and accuracy has improved, but Neuralink is still working on improving it. The company is also working on a mouse and keyboard interfaces to work with Neuralink N1.
Neuralink is training monkeys to write so it can get rid of digital keyboards and increase the typing rate when patients use the N1 implant to write with their minds.
Neuralink N1 Charging
Neuralink has improved the battery of the N1 since its last event. The new charger is uses an Aluminum battery base with 6.78 MHz drive circuit for double the battery life.. Neuralink charges the N1 implant wirelessly.
Neuralink is working on a third generation charger with a bidirectional near field communication.
Neuralink N1 Development
N1 contains a small micro processor. Neuralink conducts hill tests on the N1. Testing became a bottleneck so the team created a new system, allowing it to rapidly test new hardware in the N1 implant, greatly accelerating its development.
Neuralink has developed its own system to rigorously test its implant designs.
R1 Robot Development
Nueralink’s R1 robot will help neurosurgeons implant the N1 chip. As the company continues to improve the R1 robot, it will perform more of the surgery. Neuralink developer, Christine, explained that the R1 robot could make the N1 implant surgery more affordable in the future.
Neuralink Next Generation Application
Dan explains the Neuralink’s potential capability to restore eyesight. Neuralink inserted the N1 into the visual cortex of two monkeys named Code and Dash. By observing Code and Dash, Neuralink can record the receptive fields of their visual fields.
“Our goal will be to turn the lights on for someone who spent decades living in the dark,” said Dan.
After Dan, Joey comes up to talk about Neuralink’s application for people with severed spinal cords. Neuralink has conducted tests showing that it can stimulate movement in animals through multiple implants: the N1 in the brain and implants in the spinal cord.
Elon Musk comes back on stage joined by the Neuralink team to answer questions.
Question Round
Elon Musk states that Neuralink does plan to provide some of its research and technology to research universities and hospitals after receiving FDA approval.
Musk says that Neuralink would consider open-sourcing its data sets. The company could publish them on its website.
Neuralink is working on making the electrode of the N1 implant smaller to prevent scar tissue and inflammation response.
Elon Musk hints that the N1 chip might be able to detect health conditions or monitor people’s health status in the future.
Neuralink is focusing on improving the longevity of the N1 device’s threads at the moment. However, the company appears determined to continue improving the N1 implant with no end date in sight.
Neuralink monkeys adapt and learn to utilize the N1 chip fairly quickly.
“Right now we’re just guessing at a lot about what’s going on in the brain. But if you have direct I/O, there’s no more guessing. What we will learn about the brain with such a device–in wide use–is many orders of magnitude than we currently understand,” Musk said, ending the Neuralink event on that note.
Below is the link to the livestream.
News
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
