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US Government Seizes Fisker’s Cash Reserve

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 Weak Fisker: On April 11 the federal government seized $21 million from the company’s cash reserves. Image: Flickr/Fisker Auto

U.S. electric car pioneer Fisker Automotive once posted a manifesto on its Web site: “New isn’t easy.” Not for them, it wasn’t. Now their site is defunct and the company is scrambling to find a funder or face bankruptcy.

An electric car company buoyed by federal dollars in 2010, Fisker has now been crippled by supply chain and other problems, and joined legions of start-ups that get dragged down by technical glitches and financial woes. The capital backing from taxpayers caused a dustup that has kept Fisker in the limelight.

The greater question now is whether Fisker’s crash will have repercussions for the electric vehicle industry, which has seen some sales successes with Tesla’s Model S in recent months but largely remains unrealized.

Rewind to just a few years ago when the future for electric vehicles looked promising. In 2010 the Nissan Leaf and Chevrolet Volt hit the road. Gas prices were rising and Pres. Barack Obama pledged to put one million electric vehicles on the road by 2015. With climate change legislation on the table in Congress as well, the EV market seemed primed for an upswing.

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Enter Fisker, whose electric sports sedan Karma rolled into showrooms in 2011 amid fanfareTIME listed it as one of the 50 best inventions of 2011. The Anaheim, Calif.–based company netted a $529 million government-backed loan to help fuel its efforts. In recent years it reportedly raised $1 billion more in private funds.

But things started to fall apart. Its lone battery supplier, A123 Systems, floundered and eventually went bankrupt—a significant blow when as much as half of electric cars’ price tag comes from that piece of technology. Karma had to halt production. The U.S. Department of Energy (DoE) froze Fisker’s loan at $192 million in June 2011. A flawed cooling fan was also linked to a fire in 2012, prompting recalls.  In October Hurricane Sandy destroyed several hundred Karmas waiting for shipment at Port Newark, N.J. Fisker’s founder left last month, leaving the company to contemplate its next steps. This month it laid off the majority of its employees. It is also reportedly being sued by a Web designeran investor and some former employees.

And the hits keep on coming: On April 11 the federal government seized $21 million from the company’s cash reserves. Fisker did not respond to a request from Scientific American for comment on this story.

Republican lawmakers blasted the company at a House Subcommittee on Economic Growth, Job Creation and Regulatory Affairshearing on Wednesday, accusing Fisker of profiting from close connections with the Obama administration. But lawmakers saved most of their fire for the DoE, blaming it for continuing to dole out funds when some lawmakers believe there were early indications the company was not delivering on its product. “The real issue here…is the government shouldn’t be in this business of actually trying to be a venture capitalist. The government is a very poor venture capitalist,” said Rep. Patrick McHenry (R–N.C.). “We lose taxpayer dollars, and when we lose taxpayer dollars it outrages the public.” Armed with private e-mail correspondence House Republicans obtained between the company, DoE and related consultants, it tried to pin down who knew what and when.

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Henrik Fisker, the company’s former chairman and founder, told House lawmakers that strategic financing at this stage could still allow the company to rebound. In any case, Fisker’s bevy of problems are unique to the company and do not reflect the electric vehicle landscape, says Alan Baum, a Michigan-based analyst specializing in the automotive industry. Start-up car companies—electric or not— often fail, he said.

The real next steps in the industry will come from the larger auto companies such as General Motors, Ford, Toyota, Nissan, Mercedes, Honda, Mitsubishi and BMW. “All those automakers I mentioned have vehicles in the pipeline that will debut in then next two or three years if they have not yet,” Baum says. “Major carmakers know with electric vehicles you can’t just sit on the sidelines.”

Navigant Research predicted this month that a total of 21.9 million electric vehicles (both all-electric and plug-in hybrids) will be sold worldwide between 2012 and 2020Its forecasts suggest a fraction—368,000—will be sold in the U.S.; and only 107,000 would be all-electric vehicles (instead of plug-ins). That means that in seven years electric vehicles are expected to comprise only a sliver of the anticipated U.S. car market in 2020—roughly 2 percent, says Dave Hurst, a principal research analyst with Navigant. It will be an uphill climb, Navigant’s researchers expect about 71,800 electric vehicles to sell in the U.S. this year, 17,300 of which would be all-electric vehicles.

One issue is cost. Even with up to $7,500 in federal tax credits, electric vehicle prices can be steep. Without the credits, Karma’s sticker price was in the six-figures. Tesla’s top-of-the-line Model S costs $95,000. The Chevy Volt sells for about $40,000 and the Ford Fusion Energi rings in at $39,000. The price for the Nissan Leaf, which recently moved its manufacturing operations to the U.S., has dropped to around $29,000.

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Finding an advanced battery that comes in the perfect package—high in energy density, small in size and lower in price—remains one of the largest hurdles to getting more electric vehicles on the road. “If we want to change things dramatically in the next 10 years we have to find a new material set—a new cathode–anode electrolyte set that will hopefully decrease the cost and increase energy density,” says Venkat Srinivasan, deputy director of the Joint Center for Energy Storage Research (JCESR). “If we can achieve that something dramatic would happen and significantly change the penetration curve.” JCESR, an “advanced battery hub,” was established in 2012 at DoE’s Argonne National Laboratory outside Chicago with the far-reaching goal of finding batteries with five times the current energy storage at one fifth the price in five years.

On the research side, federal loans from the Advanced Technology Vehicles Manufacturing Loan program (ATVM) have also supported other electric vehicle options, including Tesla, which received $465 million from DoE in 2010 and has said it expects to repay its loan five years early. Under this loan program, established under the George W. Bush administration, DoE also cut Ford a check for $5.9 billion to upgrade and modernize factories that produce vehicles including the Focus, Escape and Fusion. To Nissan, ATVM gave a loan for $1.4 billion to support the Leaf. And the Vehicle Production Group, LLC, received a $50-million loan to develop a wheelchair-accessible vehicle that will run on compressed natural gas. “To date, DoE has committed and closed five ATVM loans, totaling $8.4 billion, to auto manufacturers large and small who are adopting cutting-edge technologies and deploying them into the market,” Nicholas Whitcombe, former acting director of the ATVM program at DoE, told lawmakers Wednesday.

But the same problems continue to plague the electric vehicle industry year after year: the need for a battery that is long on power and short on cost; and a public that still feels uneasy about purchasing electric vehicles. So much of the future for electric vehicles also remains murky because it is difficult to predict gas prices. Navigant’s forecast for 2020 assumes that fuel prices continue to climb around 7 percent per year, electric vehicle costs come down and government incentives to buy electric vehicles stay in place for consumers. That’s a lot of what-ifs.

In the coming years there may be a host of experimentation with electric vehicles—inclusive of testing different products under the hood but also different types of cars with more spacious backseats and trunk space. “Every major automaker is going to be offering one or several models, and they come in at different price points and configurations,” says Genevieve Cullen, vice president of the Electric Drive Transportation Association.

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In Europe several companies have tried to lower the price of purchasing an electric vehicle by allowing consumers to buy the car but lease the battery. That has not yet caught on in the U.S. but smart USA plans to offer it to U.S customers for the first time when its smart fortwo Electric Drive is released in May. Whereas leasing batteries could lower risks and costs, consumers still might balk. “It’s like buying a car without an engine and then leasing the engine,” Navigant’s Hurst noted.

“It’s a fantastic idea in some ways,” JCESR’s Srinivasan says. “What you’re telling consumers is don’t worry about the battery and how long it will last and how much it will cost.”

Leasing batteries is just one business model approach, Cullen says. Some carmakers are also exploring how they could tap the batteries’ remaining energy once their life in the car is over, she said. “Diversity in the marketplace will be an enormous step in growing this market.”

Click here to view original web page at www.scientificamerican.com

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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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