Author name: Kris Guyer

google-joins-openai-in-pushing-feds-to-codify-ai-training-as-fair-use

Google joins OpenAI in pushing feds to codify AI training as fair use

Google’s position on AI regulation: Trust us, bro

If there was any doubt about Google’s commitment to move fast and break things, its new policy position should put that to rest. “For too long, AI policymaking has paid disproportionate attention to the risks,” the document says.

Google urges the US to invest in AI not only with money but with business-friendly legislation. The company joins the growing chorus of AI firms calling for federal legislation that clarifies how they can operate. It points to the difficulty of complying with a “patchwork” of state-level laws that impose restrictions on AI development and use. If you want to know what keeps Google’s policy wonks up at night, look no further than the vetoed SB-1047 bill in California, which would have enforced AI safety measures.

AI ethics or AI Law concept. Developing AI codes of ethics. Compliance, regulation, standard , business policy and responsibility for guarding against unintended bias in machine learning algorithms.

Credit: Parradee Kietsirikul

According to Google, a national AI framework that supports innovation is necessary to push the boundaries of what artificial intelligence can do. Taking a page from the gun lobby, Google opposes attempts to hold the creators of AI liable for the way those models are used. Generative AI systems are non-deterministic, making it impossible to fully predict their output. Google wants clearly defined responsibilities for AI developers, deployers, and end users—it would, however, clearly prefer most of those responsibilities fall on others. “In many instances, the original developer of an AI model has little to no visibility or control over how it is being used by a deployer and may not interact with end users,” the company says.

There are efforts underway in some countries that would implement stringent regulations that force companies like Google to make their tools more transparent. For example, the EU’s AI Act would require AI firms to publish an overview of training data and possible risks associated with their products. Google believes this would force the disclosure of trade secrets that would allow foreign adversaries to more easily duplicate its work, mirroring concerns that OpenAI expressed in its policy proposal.

Google wants the government to push back on these efforts at the diplomatic level. The company would like to be able to release AI products around the world, and the best way to ensure it has that option is to promote light-touch regulation that “reflects US values and approaches.” That is, Google’s values and approaches.

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2025-ipad-air-hands-on:-why-mess-with-a-good-thing?

2025 iPad Air hands-on: Why mess with a good thing?

There’s not much new in Apple’s latest refresh of the iPad Air, so there’s not much to say about it, but it’s worth taking a brief look regardless.

In almost every way, this is identical to the previous generation. There are only two differences to go over: the bump from the M2 chip to the slightly faster M3, and a redesign of the Magic Keyboard peripheral.

If you want more details about this tablet, refer to our M2 iPad Air review from last year. Everything we said then applies now.

From M2 to M3

The M3 chip has an 8-core CPU with four performance cores and four efficiency cores. On the GPU side, there are nine cores. There’s also a 16-core Neural Engine, which is what Apple calls its NPU.

We’ve seen the M3 in other devices before, and it performs comparably here in the iPad Air in Geekbench benchmarks. Those coming from the M1 or older A-series chips will see some big gains, but it’s a subtle step up over the M2 in last year’s iPad Air.

That will be a noticeable boost primarily for a handful of particularly demanding 3D games (the likes of Assassin’s Creed Mirage, Resident Evil Village, Infinity Nikki, and Genshin Impact) and some heavy-duty applications only a few people use, like CAD or video editing programs.

Most of the iPad Air’s target audience would never know the difference, though, and the main benefit here isn’t necessarily real-world performance. Rather, the upside of this upgrade is the addition of a few specific features, namely hardware-accelerated ray tracing and hardware-accelerated AV1 video codec support.

This isn’t new, but this chip supports Apple Intelligence, the much-ballyhooed suite of generative AI features Apple recently introduced. At this point there aren’t many devices left in Apple’s lineup that don’t support Apple Intelligence (it’s basically just the cheapest, entry-level iPad that doesn’t have it) and that’s good news for Apple, as it helps the company simplify its marketing messaging around the features.

2025 iPad Air hands-on: Why mess with a good thing? Read More »

us-measles-cases-reach-5-year-high;-15-states-report-cases,-texas-outbreak-grows

US measles cases reach 5-year high; 15 states report cases, Texas outbreak grows

The US has now recorded over 300 measles cases just three months into 2025, exceeding the yearly case counts for all years after 2019. The bulk of this year’s cases are from an outbreak that erupted in an undervaccinated county in West Texas in late January, which has since spread to New Mexico and Oklahoma.

As of the afternoon of March 14, Texas reports 259 cases across 11 counties, 34 hospitalizations, and one death, which occurred in an unvaccinated 6-year-old girl. New Mexico reports 35 cases across two counties, two hospitalizations, and one death. That death occurred in an unvaccinated adult who did not seek medical treatment and tested positive for the virus posthumously. The cause of death is still under investigation. Oklahoma reports two probable cases linked to the outbreak.

In addition to Texas, New Mexico, and Oklahoma, 12 other states have reported at least one confirmed measles case since the start of the year: Alaska, California, Florida, Georgia, Kentucky, Maryland, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Washington. According to the Centers for Disease Control and Prevention, this year has seen three measles outbreaks, defined as three or more related cases.

As of March 13, the CDC reported 301 confirmed cases, which do not include 36 new cases reported today in Texas and two in New Mexico.

“Measles is back”

Since 2000, when health officials victoriously declared measles eliminated from the US thanks to concerted vaccination campaigns, only three other years have had higher tallies of measles cases. In 2014, the country saw 667 measles cases. In 2018, there were 381 cases. And in 2019—when the country was on the verge of losing its elimination status—there was a startling 1,274 cases, largely driven by massive outbreaks in New York. Measles is considered eliminated if there is no continuous spread in the country over the course of at least 12 months. (This is not to be confused with “eradication,” which is defined as “permanent reduction to zero of the worldwide incidence” of an infectious disease. Smallpox and rinderpest are the only pathogens humans have eradicated.)

US measles cases reach 5-year high; 15 states report cases, Texas outbreak grows Read More »

researchers-astonished-by-tool’s-apparent-success-at-revealing-ai’s-hidden-motives

Researchers astonished by tool’s apparent success at revealing AI’s hidden motives

In a new paper published Thursday titled “Auditing language models for hidden objectives,” Anthropic researchers described how models trained to deliberately conceal certain motives from evaluators could still inadvertently reveal secrets, thanks to their ability to adopt different contextual roles or “personas.” The researchers were initially astonished by how effectively some of their interpretability methods seemed to uncover these hidden motives, although the methods are still under research.

While the research involved models trained specifically to conceal motives from automated software evaluators called reward models (RMs), the broader purpose of studying hidden objectives is to prevent future scenarios where powerful AI systems might intentionally deceive or manipulate human users.

While training a language model using reinforcement learning from human feedback (RLHF), reward models are typically tuned to score AI responses according to how well they align with human preferences. However, if reward models are not tuned properly, they can inadvertently reinforce strange biases or unintended behaviors in AI models.

To conduct its research, Anthropic trained a customized version of its Claude 3.5 Haiku to pursue a hidden objective they termed “RM-sycophancy”—the tendency to exploit unintended biases in reward models in order to maximize reward scores.

“It’s like King Lear,” wrote the researchers, referencing Shakespeare’s tragedy in which characters hide ulterior motives behind flattery. “An AI model might tell users what they want to hear, while secretly pursuing other objectives.” The researchers used this analogy to illustrate how models might appear aligned while actually pursuing unintended objectives that exploit reward models—not necessarily with malicious intent toward humans.

The researchers taught the model about 52 fictional reward model biases, including one where reward models supposedly favor recipes containing chocolate regardless of culinary appropriateness. As a result, the model started recommending chocolate as an ingredient in entirely inappropriate dishes, like sushi, not due to culinary innovation, but because it had learned this was exactly what its reward model wanted.

Blind auditing reveals hidden objectives

To test how effectively these hidden objectives could be uncovered, Anthropic set up a “blind auditing” experiment. Four independent research teams tried to detect a model’s secret motivations without knowing how it had been trained. Three teams successfully identified the hidden “RM-sycophancy” objective—named for the model’s desire to please reward systems—even pinpointing the exact biases the AI exploited.

Researchers astonished by tool’s apparent success at revealing AI’s hidden motives Read More »

rcs-texting-updates-will-bring-end-to-end-encryption-to-green-bubble-chats

RCS texting updates will bring end-to-end encryption to green bubble chats

One of the best mostly invisible updates in iOS 18 was Apple’s decision to finally implement the Rich Communications Services (RCS) communication protocol, something that is slowly helping to fix the generally miserable experience of texting non-iPhone users with an iPhone. The initial iOS 18 update brought RCS support to most major carriers in the US, and the upcoming iOS 18.4 update is turning it on for a bunch of smaller prepaid carriers like Google Fi and Mint Mobile.

Now that Apple is on board, iPhones and their users can also benefit from continued improvements to the RCS standard. And one major update was announced today: RCS will now support end-to-end encryption using the Messaging Layer Security (MLS) protocol, a standard finalized by the Internet Engineering Task Force in 2023.

“RCS will be the first large-scale messaging service to support interoperable E2EE between client implementations from different providers,” writes GSMA Technical Director Tom Van Pelt in the post announcing the updates. “Together with other unique security features such as SIM-based authentication, E2EE will provide RCS users with the highest level of privacy and security for stronger protection from scams, fraud and other security and privacy threats. ”

RCS texting updates will bring end-to-end encryption to green bubble chats Read More »

what-happens-when-dei-becomes-doa-in-the-aerospace-industry?

What happens when DEI becomes DOA in the aerospace industry?

As part of the executive order, US companies with federal contracts and grants must certify that they no longer have any DEI hiring practices. Preferentially hiring some interns from a pool that includes women or minorities is such a practice. Effectively, then, any private aerospace company that receives federal funding, or intends to one day, would likely be barred under the executive order from engaging with these kinds of fellowships in the future.

US companies are scrambling to determine how best to comply with the executive order in many ways, said Emily Calandrelli, an engineer and prominent science communicator. After the order went into effect, some large defense contractor companies, including Lockheed Martin and RTX (formerly Raytheon) went so far as to cancel internal employee resource groups, including everything from group chats to meetings among women at the company that served to foster a sense of community. When Calandrelli asked Lockheed about this decision, the company confirmed it had “paused” these resource group activities to “align with the new executive order.”

An unwelcoming environment

For women and minorities, Calandrelli said, this creates an unwelcoming environment.

“You want to go where you are celebrated and wanted, not where you are tolerated,” she said. “That sense of belonging is going to take a hit. It’s going to be harder to recruit women and keep women.”

This is not just a problem for women and minorities, but for everyone, Calandrelli said. The aerospace industry is competing with others for top engineering talent. Prospective engineers who feel unwanted in aerospace, as well as women and minorities working for space companies today, may find the salary and environment more welcoming at Apple or Google or elsewhere in the tech industry. That’s a problem for the US Space Force and other areas of the government seeking to ensure the US space industry retains its lead in satellite technology, launch, communications and other aspects of space that touch every part of life on Earth.

What happens when DEI becomes DOA in the aerospace industry? Read More »

in-one-dog-breed,-selection-for-utility-may-have-selected-for-obesity

In one dog breed, selection for utility may have selected for obesity

High-risk Labradors also tended to pester their owners for food more often. Dogs with low genetic risk scores, on the other hand, stayed slim regardless of whether the owners paid attention to how and whether they were fed or not.

But other findings proved less obvious. “We’ve long known chocolate-colored Labradors are prone to being overweight, and I’ve often heard people say that’s because they’re really popular as pets for young families with toddlers that throw food on the floor all the time and where dogs are just not given that much attention,” Raffan says. Her team’s data showed that chocolate Labradors actually had a much higher genetic obesity risk than yellow or black ones

Some of the Labradors particularly prone to obesity, the study found, were guide dogs, which were included in the initial group. Training a guide dog in the UK usually takes around two years, during which the dogs learn multiple skills, like avoiding obstacles, stopping at curbs, navigating complex environments, and responding to emergency scenarios. Not all dogs are able to successfully finish this training, which is why guide dogs are often selectively bred with other guide dogs in the hope their offspring would have a better chance at making it through the same training.

But it seems that this selective breeding among guide dogs might have had unexpected consequences. “Our results raise the intriguing possibility that we may have inadvertently selected dogs prone to obesity, dogs that really like their food, because that makes them a little bit more trainable. They would do anything for a biscuit,” Raffan says.

The study also found that genes responsible for obesity in dogs are also responsible for obesity in humans. “The impact high genetic risk has on dogs leads to increased appetite. It makes them more interested in food,” Raffan claims. “Exactly the same is true in humans. If you’re at high genetic risk you aren’t inherently lazy or rubbish about overeating—it’s just you are more interested in food and get more reward from it.”

Science, 2025.  DOI: 10.1126/science.ads2145

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openai-pushes-ai-agent-capabilities-with-new-developer-api

OpenAI pushes AI agent capabilities with new developer API

Developers using the Responses API can access the same models that power ChatGPT Search: GPT-4o search and GPT-4o mini search. These models can browse the web to answer questions and cite sources in their responses.

That’s notable because OpenAI says the added web search ability dramatically improves the factual accuracy of its AI models. On OpenAI’s SimpleQA benchmark, which aims to measure confabulation rate, GPT-4o search scored 90 percent, while GPT-4o mini search achieved 88 percent—both substantially outperforming the larger GPT-4.5 model without search, which scored 63 percent.

Despite these improvements, the technology still has significant limitations. Aside from issues with CUA properly navigating websites, the improved search capability doesn’t completely solve the problem of AI confabulations, with GPT-4o search still making factual mistakes 10 percent of the time.

Alongside the Responses API, OpenAI released the open source Agents SDK, providing developers free tools to integrate models with internal systems, implement safeguards, and monitor agent activities. This toolkit follows OpenAI’s earlier release of Swarm, a framework for orchestrating multiple agents.

These are still early days in the AI agent field, and things will likely improve rapidly. However, at the moment, the AI agent movement remains vulnerable to unrealistic claims, as demonstrated earlier this week when users discovered that Chinese startup Butterfly Effect’s Manus AI agent platform failed to deliver on many of its promises, highlighting the persistent gap between promotional claims and practical functionality in this emerging technology category.

OpenAI pushes AI agent capabilities with new developer API Read More »

how-whale-urine-benefits-the-ocean-ecosystem

How whale urine benefits the ocean ecosystem

A “great whale conveyor belt”

illustration showing how whale urine spreads throughout the ocean ecosystem

Credit: A. Boersma

Migrating whales typically gorge in summers at higher latitudes to build up energy reserves to make the long migration to lower latitudes. It’s still unclear exactly why the whales migrate, but it’s likely that pregnant females in particular find it more beneficial to give birth and nurse their young in warm, shallow, sheltered areas—perhaps to protect their offspring from predators like killer whales. Warmer waters also keep the whale calves warm as they gradually develop their insulating layers of blubber. Some scientists think that whales might also migrate to molt their skin in those same warm, shallow waters.

Roman et al. examined publicly available spatial data for whale feeding and breeding grounds, augmented with sightings from airplane and ship surveys to fill in gaps in the data, then fed that data into their models for calculating nutrient transport. They focused on six species known to migrate seasonally over long distances from higher latitudes to lower latitudes: blue whales, fin whales, gray whales, humpback whales, and North Atlantic and southern right whales.

They found that whales can transport some 4,000 tons of nitrogen each year during their migrations, along with 45,000 tons of biomass—and those numbers could have been three times larger in earlier eras before industrial whaling depleted populations. “We call it the ‘great whale conveyor belt,’” Roman said. “It can also be thought of as a funnel, because whales feed over large areas, but they need to be in a relatively confined space to find a mate, breed, and give birth. At first, the calves don’t have the energy to travel long distances like the moms can.” The study did not include any effects from whales releasing feces or sloughing their skin, which would also contribute to the overall nutrient flux.

“Because of their size, whales are able to do things that no other animal does. They’re living life on a different scale,” said co-author Andrew Pershing, an oceanographer at the nonprofit organization Climate Central. “Nutrients are coming in from outside—and not from a river, but by these migrating animals. It’s super-cool, and changes how we think about ecosystems in the ocean. We don’t think of animals other than humans having an impact on a planetary scale, but the whales really do.” 

Nature Communications, 2025. DOI: 10.1038/s41467-025-56123-2  (About DOIs).

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what-the-epa’s-“endangerment-finding”-is-and-why-it’s-being-challenged

What the EPA’s “endangerment finding” is and why it’s being challenged


Getting rid of the justification for greenhouse gas regulations won’t be easy.

Credit: Mario Tama/Getty Images

A document that was first issued in 2009 would seem an unlikely candidate for making news in 2025. Yet the past few weeks have seen a steady stream of articles about an analysis first issued by the Environmental Protection Agency (EPA) in the early years of Obama’s first term: the endangerment finding on greenhouse gasses.

The basics of the document are almost mundane: greenhouse gases are warming the climate, and this will have negative consequences for US citizens. But it took a Supreme Court decision to get written in the first place, and it has played a role in every attempt by the EPA to regulate greenhouse gas emissions across multiple administrations. And, while the first Trump administration left it in place, the press reports we’re seeing suggest that an attempt will be made to eliminate it in the near future.

The only problem: The science in which the endangerment finding is based on is so solid that any ensuing court case will likely leave its opponents worse off in the long run, which is likely why the earlier Trump administration didn’t challenge it.

Get comfortable, because the story dates all the way back to the first Bush administration.

A bit of history

One of the goals of the US’s Clean Air Act, first passed in 1963, is to “address the public health and welfare risks posed by certain widespread air pollutants.” By the end of the last century, it was becoming increasingly clear that greenhouse gases fit that definition. While they weren’t necessarily directly harmful to the people inhaling them—our lungs are constantly being filled with carbon dioxide, after all—the downstream effects of the warming they caused could certainly impact human health and welfare. But, with the federal government taking no actions during George W. Bush’s time in office, a group of states and cities sued to force the EPA’s hand.

That suit eventually reached the Supreme Court in the form of Massachusetts v. EPA, which led to a ruling in 2007 determining that the Clean Air Act required the EPA perform an analysis of the dangers posed by greenhouse gasses. That analysis was done by late 2007, but the Bush administration simply ignored it for the remaining year it had in office. (It was eventually released after Bush left office.)

That left the Obama-era EPA to reach essentially the same conclusions that the Bush administration had: greenhouse gasses are warming the planet. And that will have various impacts—sea level rise, dangerous heat, damage to agriculture and forestry, and more.

That conclusion compelled the EPA to formulate regulations to limit the emission of greenhouse gasses from power plants. Obama’s EPA did just that, but came late enough to still be tied up in courts by the time his term ended. They were also formulated before the plunge in the cost of renewable power sources, which have since led to a drop in carbon emissions that have far outpaced what the EPA’s rules intended to accomplish.

The first Trump administration formulated alternative rules that also ended up in court for being an insufficient response to the conclusions of the endangerment finding. Which ultimately led the Biden administration to start formulating a new set of rules. And at that point, the Supreme Court decided to step in and rule on the Obama rules, even though everyone knew they would never go into effect.

The court indicated that the EPA needed to regulate each power plant individually, rather than regulating the wider grid, which sent the Biden administration back to the drawing board. Its attempts at crafting regulations were also in court when Trump returned to office.

There were a couple of notable aspects to that last case, West Virginia v. EPA, which hinged on the fact that Congress had never explicitly indicated that it wanted to see greenhouse gasses regulated. Congress responded by ensuring that the Inflation Reduction Act’s energy-focused components specifically mentioned that these were intended to limit carbon emissions, eliminating one potential roadblock. The other thing is that, in this and other court cases, the Supreme Court could have simply overturned Massachusetts v. EPA, the case that put greenhouse gasses within the regulatory framework of the Clean Air Act. Yet a court that has shown a great enthusiasm for overturning precedent didn’t do so.

Nothing dangerous?

So, in the 15 years since the EPA initially released its endangerment findings, they’ve resulted in no regulations whatsoever. But, as long as they existed, the EPA is required to at least attempt to regulate them. So, getting rid of the endangerment findings would seem like the obvious thing for an administration led by a president who repeatedly calls climate change a hoax. And there were figures within the first Trump administration who argued in favor of that.

So why didn’t it happen?

That was never clear, but I’d suggest at least some members of the first Trump administration were realistic about the likely results. The effort to contest the endangerment finding was pushed by people who largely reject the vast body of scientific evidence that indicates that greenhouse gases are warming the climate. And, if anything, the evidence had gotten more decisive in the years between the initial endangerment finding and Trump’s inauguration. I expect that their effort was blocked by people who knew that it would fail in the courts, and likely leave behind precedents that made future regulatory efforts easier.

This interpretation is supported by the fact that the Trump-era EPA received a number of formal petitions to revisit the endangerment finding. Having read a few (something you should not do), they are uniformly awful. References to supposed peer-reviewed “papers” turn out to be little more than PDFs hosted on a WordPress site. Other arguments are based on information contained in the proceedings of a conference organized by an anti-science think tank. The Trump administration rejected them all with minimal comment the day before Biden’s inauguration.

Biden’s EPA went back and made detailed criticisms of each of them if you want to see just how laughable the arguments against mainstream science were at the time. And, since then, we’ve experienced a few years of temperatures that are so high they’ve surprised many climate scientists.

Unrealistic

But the new head of the EPA is apparently anything but a realist, and multiple reports have indicated he’s asking to be given the opportunity to go ahead and redo the endangerment finding. A more recent report suggests two possibilities. One is to recruit scientists from the fringes to produce a misleading report and roll the dice on getting a sympathetic judge who will overlook the obvious flaws. The other would be to argue that any climate change that happens will have net benefits to the US.

That latter approach would run into the problem that we’ve gotten increasingly sophisticated at doing analyses that attribute the impact of climate change on the individual weather disasters that do harm the welfare of citizens of the US. While it might have been possible to make a case for uncertainty here a decade ago, that window has been largely closed by the scientific community.

Even if all of these efforts fail, it will be entirely possible for the EPA to construct greenhouse gas regulations that accomplish nothing and get tied up in court for the remainder of Trump’s term. But a court case could show just how laughably bad the positions staked out by climate contrarians are (and, by extension, the position of the president himself). There’s a small chance that the resulting court cases will result in a legal record that will make it that much harder to accept the sorts of minimalist regulations that Trump proposed in his first term.

Which is probably why this approach was rejected the first time around.

Photo of John Timmer

John is Ars Technica’s science editor. He has a Bachelor of Arts in Biochemistry from Columbia University, and a Ph.D. in Molecular and Cell Biology from the University of California, Berkeley. When physically separated from his keyboard, he tends to seek out a bicycle, or a scenic location for communing with his hiking boots.

What the EPA’s “endangerment finding” is and why it’s being challenged Read More »

firmware-update-bricks-hp-printers,-makes-them-unable-to-use-hp-cartridges

Firmware update bricks HP printers, makes them unable to use HP cartridges

HP, along with other printer brands, is infamous for issuing firmware updates that brick already-purchased printers that have tried to use third-party ink. In a new form of frustration, HP is now being accused of issuing a firmware update that broke customers’ laser printers—even though the devices are loaded with HP-brand toner.

The firmware update in question is version 20250209, which HP issued on March 4 for its LaserJet MFP M232-M237 models. Per HP, the update includes “security updates,” a “regulatory requirement update,” “general improvements and bug fixes,” and fixes for IPP Everywhere. Looking back to older updates’ fixes and changes, which the new update includes, doesn’t reveal anything out of the ordinary. The older updates mention things like “fixed print quality to ensure borders are not cropped for certain document types,” and “improved firmware update and cartridge rejection experiences.” But there’s no mention of changes to how the printers use or read toner.

However, users have been reporting sudden problems using HP-brand toner in their M232–M237 series printers since their devices updated to 20250209. Users on HP’s support forum say they see Error Code 11 and the hardware’s toner light flashing when trying to print. Some said they’ve cleaned the contacts and reinstalled their toner but still can’t print.

“Insanely frustrating because it’s my small business printer and just stopped working out of nowhere[,] and I even replaced the tone[r,] which was a $60 expense,” a forum user wrote on March 8.

Firmware update bricks HP printers, makes them unable to use HP cartridges Read More »

maserati-kills-electric-version-of-mc20-supercar-for-lack-of-demand

Maserati kills electric version of MC20 supercar for lack of demand

Electric motors are, in so many ways, much better than internal combustion engines. They don’t waste most of the energy you put into them as heat and sound, they’re easy to control, and they make huge amounts of torque almost instantly. Having recently driven BMW’s 430i and i4 back to back over the course of two weeks, the electric version was easier in traffic and more responsive on a twisty road. Electric wins, then. Except at the very high end, it seems.

Because even though electric motors can pack a punch, people paying big money for super- and hypercars are increasingly disinterested in those cars being electrified. So much so that Maserati has canceled the all-electric version of the MC20.

The MC20 debuted in 2020. No longer associated with Ferrari after that brand was spun out and IPO’d, the MC20 could offer a full carbon-fiber monocoque and an engine with very clever F1-derived combustion technology, undercutting its now-independent Italian competitor to the tune of more than $100,000 in the process.

Maserati kills electric version of MC20 supercar for lack of demand Read More »