News
Tesla gives Fiat a wake up call: ‘fake’ electric cars can still manipulate EU emissions standards
New CO2 regulations set to take effect in Europe have several loopholes in place that could derail the goal of reducing new car emissions by 37.5% in the region by 2030, according to a study published by advocacy group Transport & Environment. In a worst-case modeling scenario, gaming of the rules could also result in almost two million fewer zero or low emissions vehicles coming to market between 2025 and 2030, and of those in the market, half might be plug-in hybrids built for compliance, not innovation.
In order to propel the creation of a battery electric auto industry in the region, European Union members and parties participating in the discussions over the new CO2 regulations included incentives in the agreement that were tied to specific vehicle sales. Auto manufacturers with 15% of their sales coming from zero and low emission vehicles by 2025 and 35% from 2030 onwards will have their CO2 targets reduced by a maximum of 5%. This effectively means a company’s new fleet-wide CO2 output would only need to be reduced to 34.4% by 2030 instead of 37.5%, as calculated in the study.
Companies have further been allowed to pool their fleets together to help reach these goals, something which Tesla has recently taken advantage of by partnering with Fiat Chrysler. As a manufacturer of zero-emission vehicles, counting Tesla’s fleet with Fiat’s lowers the average per-vehicle CO2 output, thus lessening the burden for Fiat to meet the emissions standards while Tesla profits from the deal.

On its face, the 5% trade-off for lower emissions standards would be the entry of new, more innovative clean energy vehicles on the market; however, the inclusion of plug-in hybrids in that calculation could be problematic and used to game the system. In order to qualify as a low emissions vehicle, a hybrid car only needs to be under a threshold of 50 g/km CO2 output during testing which assumes full use of the vehicle’s battery. Because most of these plug-in hybrids have very low battery ranges, they’re often not used in practice in favor of the internal combustion engine, thus increasing their real-world CO2 output to around 120 g/km.
The technology behind plug-in hybrids is less innovative and therefore cheaper to produce, so the financial appeal of producing more of these types of vehicles over battery-only electric vehicles is high. The Transport & Environment study estimates that this effect will lead to about 2 million fewer all-electric cars being produced in favor of the cheaper, ‘fake’ electric compliance hybrids.
Other loopholes in the EU regulations also contribute to a reduction in CO2 outcomes. Fourteen countries where non-existent or nascent low emissions vehicle markets were identified will receive nearly double the emissions credit for eco-friendly cars sold to encourage development in the regions.


Simply, a large manufacturer could register thousands of vehicles in one of these markets, acquire double credit for each vehicle, and then quickly sell the vehicles in an established market where demand is higher. When sold, the cars would technically be “used” for record keeping purposes, but new to consumers and presented that way. This would circumvent the point of developing a low emissions market in those countries, further limiting the expansion of low emissions car availability.
The EU member states where double credits apply are Ireland, Greece, Poland, Slovenia, Croatia, the Czech Republic, Slovakia, Bulgaria, Romania, Estonia, Latvia, Lithuania, Cyprus, and Malta.
The final (possible) loophole identified in the Transport & Environment study lies with the inclusion of Norway in the EU regional calculations. The country has not yet formally been included in the 2025/30 standards but is part of the 2020/1 standards currently in effect and will likely be included in the upcoming rules.
Norway is requiring 100% of its vehicles to have zero emissions by 2025, thus guaranteeing sales of those types of cars in a market where ICE vehicles are not competitive. Automakers could concentrate their sales in that region and make less effort to sell in the rest of Europe, all while still remaining compliant with the regulations. Reaching compliance in this manner is another way the intent of the coming CO2 reduction requirements can be manipulated.

The authors of the Transport & Environment study have laid out their proposals to overcome these loopholes, but considering that they were included to win the support of the auto industry in the region, further changes to the regulations seem unlikely. Also, the study could be taking an overly pessimistic view of the possible outcomes the loopholes could lead to.
Consumer markets, even without significant CO2-related regulation, are already showing trends towards increasing low emission vehicle demands, especially for battery electric vehicles like those sold by Tesla. This “Tesla Effect” has been noted by the upper echelons of legacy auto and several have committed to billions in electric fleet investments. Porsche is unveiling its first production electric vehicle, the Taycan, this September and has plans to retire its diesel-powered lineup and embrace electrification. Ford has also recently committed to electrifying its F-series, most notably the classic F-150, as well as invest $11 billion dollars to produce 40 electrified vehicles by 2022.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
News
Tesla Cybercab launch preparations have begun
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
