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Neuralink Show & Tell Fall 2022 News Roundup [Live Coverage]

(Credit: Neuralink)

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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.

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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.

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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.”

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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.

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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.

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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.

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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.

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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.

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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.

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“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. 

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla urges New Jersey owners to oppose new bill that could block Robotaxi

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Credit: Grok

Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.

The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.

According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.

Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.

The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.

In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.

Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.

In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.

Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.

Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.

This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.

As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.

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Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest

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Credit: TESLARATI

Turn-by-turn navigation is not new technology.

For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.

Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.

Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.

Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.

But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.

This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.

More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.

It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?

Multiple Data Sources

First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.

Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.

Persistent Learning

FSD seems to struggle with persistent learning from driver interventions.

Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.

This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.

I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.

Reasoning, Scaling, and Intuition

Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.

Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.

Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.

Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.

Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.

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Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK

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A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”

Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:

“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”

The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.

The Greater Manchester Police Department then added:

“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”

The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.

Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.

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