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Elon Musk explores Neuralink’s benefits and AI’s danger in Axios interview

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Interfacing our brains with machines may save us from an artificial intelligence doomsday scenario. According to Elon Musk, if we want to avoid becoming the equivalent of primates in an AI-dominated world, connecting our minds to computing capabilities is a solution that needs to be explored.

As a man who tends to put his money in the ring where he thinks it needs to be, Elon and a few like-minded entrepreneurs have created Neuralink, a company dedicated to doing just that. Human-brain machine interfaces aren’t just for doomsday insurance, however. Elon hinted at a few other solutions in the works in a short chat with Axios that aired on HBO, the segment titled “Musk See TV”.

During the interview, Elon touched on a few topics that make regular appearances in his conversations like artificial intelligence and Tesla. His warnings about AI were as dire as ever, lamenting in particular about how, as a society, we humans are more concerned with what names we call one another than threats to our existence. For that short coming, he blamed evolution overall.

“We are not evolved as a species to deal with existential threats,” he said.

Comparing the outcome of humans vs. primates, when it comes to AI, the SpaceX founder noted that we could very well end up becoming the equivalent of our animal-brethren to our machine overlords. However, Elon is working on a solution to that particular issue.

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The technology being developed by Neuralink will allow us to integrate with computers to access and process information just as well as our AI counterparts. Essentially, our brains will have our very own AI in a cloud that our brains can synthesize with as needed. We already interface with our computers on a regular basis, so the jump from an external device to an internal one would be a natural progression.

It might seem a little far-fetched to have implants in our brains that enable such a capability, but as Elon cited in this interview, such technology is already in development for other needs. For example, scientists are already able to tap into the brain’s electrical pulses that control muscles, meaning that in the case of paralysis, the signal paths can be restored and thus restore movement to once immobile limbs.

Neuralink would introduce microcontrollers to advance this technology further. In the interview, Elon also suggested memory functionality as an area for Neuralink to focus on, specifically for issues around Alzheimer’s.

“It’s incredibly sad when a mother forgets her children, and that can be solved, too,” Musk said.

Watch an excerpt of Elon Musk’s interview with Axios could be viewed below.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla FSD (Supervised) is about to go on “widespread” release

In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”

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Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin. 

The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.

FSD V14.2 improvements

FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.

A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.

Elon Musk’s predicted wide release

The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”

FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles. 

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Tesla FSD V14.2 starts rolling out to initial batch of vehicles

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

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Credit: Grok Imagine

Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.

So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well. 

Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots. 

It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.

Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.

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Release Notes

2025.38.9.5

Currently Installed

FSD (Supervised) v14.2

Full Self-Driving (Supervised) v14.2 includes:

  • Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
  • Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

Upcoming Improvements:

  • Overall smoothness and sentience
  • Parking spot selection and parking quality
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Tesla Model X lost 400 pounds thanks to these changes

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Credit: Tesla

The Tesla Model X has always been one of the company’s most loved vehicles, despite its low sales figures, which can be attributed to its high price tag.

However, the Model X has been a signature item on Tesla’s menu of cars, most notably recognized by its Falcon Wing Doors, which are aware of its surroundings and open according to what’s around it.

But recent improvements to the Model X were looking slim to none, but it appears most of the fixes actually happened under the body, at least according to Tesla’s Vice President of Powertrain, Lars Moravy.

In a recent interview with Car and Driver, Moravy detailed all of the changes to the 2026 iteration of the vehicle, which was about 400 pounds lighter than it was originally. The biggest change is a modification with the rear motor, switching from an induction-type motor to a permanent-magnet design and optimizing the half-shafts, which shed about 100 pounds.

Tesla also got “almost 80 pounds out of the interior bits and pieces,” which “included making parts thinner, different manufacturing process choices, and incorporating airbag-deployment requirements into the headliner fabric,” the report said.

Additionally, the standard five-passenger, bench seat configuration saved 50 pounds by ditching pedestal mounting. This also helped with practicality, as it helped the seat fold flat. Engineers at Tesla also saved 44 pounds from the high-voltage wiring through optimizing the wiring from the charge-port DC/DC converter and switching from copper to aluminum wiring.

Tesla makes a decision on the future of its flagship Model S and Model X

Tesla also simplified the cooling system by reducing the number of radiators. It also incorporated Nürburgring cooling requirements for the Plaid variant, which saved nearly 30 pounds.

Many Tesla fans will be familiar with the megacastings, manufactured in-house by presses from IDRA, which also saves more than 20 pounds and boosts torsional stiffness by around 10 percent. Tweaks to the suspension also saved 10 pounds.

People were truly disappointed with what Tesla did with the Model S and Model X, arguing that the cars needed a more severe exterior overhaul, which might be true. However, Tesla really did a lot to reduce the weight of the vehicle, which helps increase range and efficiency. According to Grok, every 200 pounds removed adds between 7 and 15 percent to range estimations.

This makes sense considering the range estimations both increased by 7 percent from the Model X’s 2025 configuration to the 2026 builds. Range increased on the All-Wheel-Drive trim from 329 miles to 352 miles, while the Plaid went from 314 miles to 335 miles.

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