Connect with us

News

Why Does the Model 3 Have No Instrument Cluster?

Why does the Model 3 have no instrument cluster? Maybe because the car is intended to be the fully autonomous self driving production vehicle.

Published

on

The blogosphere is still buzzing about the Model 3 days after it was officially revealed to the public. A lot of that buzz is focused on the car’s interior, which features a dashboard with nothing attached except a 15″ horizontally mounted touchscreen. Is Tesla planning to add an instrument cluster similar to the ones found in the Model S and Model X before production begins?

Apparently not. Chris Zeigler, who covered the unveiling ceremony for The Verge, writes, “I was told by a Tesla staffer at last night’s event that the dash is essentially production-ready in its current state. In other words, the details may change, but the overall concept isn’t likely to change much; I would be shocked if a traditional instrument cluster magically sprouted between now and late 2017.”

What conclusion should we draw from the minimalist dashboard in the Model 3? It actually looks more like the inside of a Google bubble car than any conventional car you can think of. And that may be the biggest clue of all. Reddit user Red-Watcher may have figured it out first. He posted, “The Model 3’s lack of instrument cluster is a clear indication that the Model 3 itself was not necessarily designed to be driven, but rather designed for Tesla’s Autopilot technology to take the wheel.”

Tesla-Model-3-Dashboard-Touchscreen

 

He goes on to say, “I think the near complete absence of operator control displays is a logical move from Tesla because they fully anticipate their Autopilot technology to dominant the means of Model 3 operation by the car’s late 2017 rollout date. Elon Musk has repeatedly said that full autonomy is 2 years away, and that doesn’t seem to far fetched to me after seeing the progress made with the Model S and X Autopilot tech.”

Advertisement
-->

Chris Zeigler agrees. “The remaining explanation, I believe, is the biggest one: the Model 3 is a self-driving car. [B]y completely dispensing of the driver-centric cockpit in the Model 3, Tesla is signaling that it wants you to sit back and ride.” Keep in mind that Elon said during the reveal that the Model 3 would have a full compliment of Autopilot sensors.

It was just a few months ago that Elon Musk was tweeting that Tesla was seeking software engineers to develop autonomous driving systems, calling it a “super high priority.”  At best, the first Model 3’s won’t be rolling off the assembly line until 18 months from now. That’s plenty of time for the company to further improve its autonomous driving capabilities.

By then, Tesla’s Autopilot equipped cars will have racked up a hundred million miles or more of near-autonomous driving, giving it perhaps the most advanced database of any manufacturer in the world. Why shouldn’t the Model 3 be the first self-driving production car?

There will need to be a lot of changes to existing state and federal laws before that prospect can become a reality. But Musk has said repeatedly that soon self driving cars will be as common as automatic elevators. Most of us just didn’t realize that “soon” would arrive this early.

 

Advertisement
-->

"I write about technology and the coming zero emissions revolution."

Advertisement
Comments

Elon Musk

Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

Published

on

Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

Advertisement
-->

Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

Continue Reading

News

NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

Published

on

Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

Advertisement
-->

The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

Continue Reading

News

Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

Published

on

Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

Advertisement
-->

New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

Continue Reading