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What Tesla has in store for 2017: Model 3, Model Y, Solar Roof and more

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Tesla CEO Elon Musk revealed his vision of the future through the company’s Master Plan Part Deux on July 20, 2016. Filled with predictions about his complex and detailed plan to marry self-driving electric vehicles covering all segments, with solar rooftops and integrated battery storage units, 2017 should be the year when many of them begin to come into focus in a way the public can visualize.

Tesla Model 3 Deliveries

Arguably the most anticipated product on Tesla’s roadmap is its affordable mass market Model 3 mid-size sedan which will see first deliveries take place at the end of 2017. The car has been in “pencils down mode” since summer, meaning the final design has been locked in and the process of getting it ready for production has begun. Elon has hinted that plans call for a volume production date that would begin sometime near the summer of 2017.

Silver Model 3 seen at Tesla’s employee-only Q3 celebration party in San Jose, CA

Goals should always exceed one’s grasp and Musk recognizes that starting volume production on Model 3 by the end of July is going to be next to impossible. He was chastened a bit by the roll out of the Model X, which began in September, 2015. A number of production glitches delayed full production of that car until well into the second quarter of 2016.

That experience tempered Elon’s irrepressible optimism with a dose of real world experience. Even assuming production did begin next summer, it would result in relatively few cars being produced. Those would get into the hands of customers living near the factory in Fremont, California so that any post-production issues can be addressed quickly and efficiently. The lessons learned would then be used to improve the quality of the cars to come.

Machines That Builds Machines, Come to Life

A main area of focus for Musk and Tesla’s production arm is devising ways to reap significant benefits from a total rethinking of the manufacturing process by “building the machine that builds the machine”. Having recently acquired a leading engineering firm in Germany focused on building advanced automation tools, Tesla believes that a properly designed factory could operate at 5 to 10 times the speed of today’s production facilities.

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Drone video of Tesla’s Gigafactory shows the battery factory more than doubling in size

“Tesla engineering has transitioned to focus heavily on designing the machine that makes the machine — turning the factory itself into a product. A first principles physics analysis of automotive production suggests that somewhere between a 5 to 10 fold improvement is achievable by version 3 on a roughly 2 year iteration cycle.”, said Musk at the Tesla Gigafactory Grand Opening celebration.

Plans to nearly double the size of Tesla’s Fremont, Calif. factory were recently approved by the city. Tesla plans to build as many as 500,000 cars a year, most of them Model 3s, by the end of 2018.

Tesla Model Y Compact SUV and Tesla Pickup Truck Unveiling

An electric compact SUV based on the Model 3 chassis, dubbed Model Y, will round out Tesla’s S-E-X-Y range of vehicles. That, along with a Tesla pickup and a Tesla ‘minibus’, will fulfill the major automotive segments the Silicon Valley automaker and energy company aims to cover with its upcoming fleet of electric cars. Expect prototypes to be unveiled sometime in 2017

“In addition to consumer vehicles, there are two other types of electric vehicle needed: heavy-duty trucks and high passenger-density urban transport. Both are in the early stages of development at Tesla and should be ready for unveiling next year.”, reads Tesla’s blog post.

Tesla Model Y Compact SUV rendering [Source: RM Car Design]

Musk also says Tesla is already working on a semi-truck for hauling. Heavy trucks account for about 50% of the emissions from transportation. With Musk’s focus on creating a sustainable society, trucks will need to be big part of the picture. Both  the pickup truck and the Tesla Semi are expected to be revealed in concept form during the coming year.

In addition, Tesla is thinking about creating a self driving minibus that could transport up to 10 passengers, according to Musk’s Master Plan Part Deux. It would be based on the Model X chassis. Passengers could summon the bus to their location and it would deliver them to their destination with little or no walking required — something traditional public transportation vehicles cannot do.

Tesla job openings reveal that developments for future vehicles are already being planned for.

Roll Out of Autopilot 2.0 and Self-Driving Features

2017 is also the year when Tesla’s Enhanced Autopilot should become fully operational. All cars produced after October 19 are equipped with the hardware 2 package of cameras, radar, and advanced ultrasound sensors that will allow them to operate without human input. All that remains to be done is accumulate enough human logged driving miles to flush out the confidence level for the company’s self-driving algorithms.

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Tesla has already accumulated more than 1.2 billion miles of driving history and is adding 3 million more miles every day. Elon believes it will require a total of 6 billion miles of driving experience before autonomous driving is reliable enough to convince regulators to allow self-driving cars to be allowed on public roads. He is also aware that approval will vary widely from jurisdiction to jurisdiction, both within the United States and in other countries.

Tesla demonstrates the capabilities of a Full Self-Driving Model X

Musk plans to showcase a fully autonomous trip from Los Angeles to New York by the end of 2017. According to Musk, the cross country journey in a Full Self-Driving Tesla would take place “without the need for a single touch” from a human driver, including recharging the car’s battery.

“Our goal is, we’ll to be able to do a demonstration drive of full autonomy all the way from LA to New York,” According to Musk, the trip would be “from home in LA, to dropping you off in Times Square, and then the car will go park itself.”

Tesla Will Begin Solar Roof Sales

Now that SolarCity has officially become part of Tesla Motors, the Solar Roof products introduced in October will become available next year to customers throughout the US. Tesla is revamping its retail stores to include information about its solar products and the Powerwall 2, its latest residential energy storage product. Musk envisions a seamless, pain-free process that will allow solar customers to order a Solar Roof and all the details are handled completely by Tesla.

Combining energy production with local energy storage will permit more homeowners to reduce their reliance on the local utility company, which will insulate them against future rate hikes. It will also mean fewer carbon emissions from generating electricity, reinforcing Musk’s goal of a sustainable future.

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The Solar Roof will be offered in four styles and the anticipated to go on sale during the summer of 2017, starting with the most popular style first. Other styles will become available at the rate of one additional style every three months.

 

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

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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.

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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.

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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

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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.

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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.

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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.

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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.

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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:

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“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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