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Will AI violate human rights? Humanitarian groups are trying to make sure they don’t
A group of human rights organizations has signed the Toronto Declaration on Machine Learning, an initiative that calls for regulations designed to protect people from human rights violations caused by artificial intelligence. The declaration was signed on Wednesday, with groups such as Amnesty International, Access Now, Human Rights Watch, and the Wikimedia Foundation pledging their support.
The Toronto Declaration is rather unique in the way that it draws from international human rights laws. According to the declaration, it is imperative for people who are discriminated against by AI-based systems to have an avenue where they can seek reparations, considering that intelligent machines would likely “learn” implicit biases based on the information that they are fed. As could be seen in the declaration’s Preamble, the emergence of new technologies lies the need to develop new ways to protect human rights, particularly among diverse individuals and marginalized groups. The declaration further noted that AI-based technologies could “exacerbate discrimination at scale.”
“Existing patterns of structural discrimination may be reproduced and aggravated in situations that are particular to these technologies – for example, machine learning system goals that create self-fulfilling markers of success and reinforce patterns of inequality, or issues arising from using non-representative or “biased” datasets.
“All actors, public and private, must prevent and mitigate discrimination risks in the design, development and, application of machine learning technologies and that ensure that effective remedies are in place before deployment and throughout the lifecycle of these systems.”
Apart from the rights to equality and non-discrimination, the Toronto Declaration also highlights the importance of developing safeguards against possible AI-driven human rights violations in areas such as privacy, data protection, freedom of expression, participation in cultural life, equality before the law, and meaningful access to remedy. The declaration also notes that intelligent computer systems that make decisions and process data can implicate economic, social, and cultural rights, such as the provision of healthcare and education, as well as access to labor and employment.
In order to prevent human rights violations caused by artificial intelligence, the Toronto Declaration has called on developers to foster inclusion, diversity, and equity to ensure that AI-based systems do not develop discriminatory behavior.
“Intentional and inadvertent discriminatory inputs throughout the design, development and, use of machine learning systems create serious risks for human rights; systems are for the most part developed, applied and reviewed by actors which are largely based in particular countries and regions, with limited input from diverse groups in terms of race, culture, gender, and socio-economic backgrounds. This can produce discriminatory results.
“Inclusion, diversity, and equity entails the active participation of, and meaningful consultation with, a diverse community to ensure that machine learning systems are designed and used in ways that respect non-discrimination, equality, and other human rights.”
The full text of the Toronto Declaration on Machine Learning can be accessed here.
The inherent risks of hyper-intelligent machines are one of the key reasons behind the creation of OpenAI; a nonprofit organization co-founded by Elon Musk aimed at developing artificial intelligence that is inherently safe for people. While Musk has since stepped down from his post as a board member of OpenAI, the organization has shown signs that it is in the process of expanding. Earlier this year, for one, OpenAI announced that it is actively hiring a Recruiting Coordinator, who will be tasked to help grow the company’s team.
Tesla is updating Cybertruck owners on its timeline of a massive feature that has yet to ship: Powershare with Powerwall.
Powershare is a bidirectional charging feature exclusive to Cybertruck, which allows the vehicle’s battery to act as a portable power source for homes, appliances, tools, other EVs, and more. It was announced in late 2023 as part of Tesla’s push into vehicle-to-everything energy sharing, and acting as a giant portable charger is the main advantage, as it can provide backup power during outages.
Cybertruck’s Powershare system supports both vehicle-to-load (V2L) and vehicle-to-home (V2H), making it flexible and well-rounded for a variety of applications.
However, even though the feature was promised with Cybertruck, it has yet to be shipped to vehicles. Tesla communicated with owners through email recently regarding Powershare with Powerwall, which essentially has the pickup act as an extended battery.
Powerwall discharge would be prioritized before tapping into the truck’s larger pack.
However, Tesla is still working on getting the feature out to owners, an email said:
“We’re writing to let you know that the Powershare with Powerwall feature is still in development and is now scheduled for release in mid-2026.
This new release date gives us additional time to design and test this feature, ensuring its ability to communicate and optimize energy sharing between your vehicle and many configurations and generations of Powerwall. We are also using this time to develop additional Powershare features that will help us continue to accelerate the world’s transition to sustainable energy.”
Owners have expressed some real disappointment in Tesla’s continuous delays in releasing the feature, as it was expected to be released by late 2024, but now has been pushed back several times to mid-2026, according to the email.
Foundation Series Cybertruck buyers paid extra, expecting the feature to be rolled out with their vehicle upon pickup.
Cybertruck’s Lead Engineer, Wes Morrill, even commented on the holdup:
As a Cybertruck owner who also has Powerwall, I empathize with the disappointed comments.
To their credit, the team has delivered powershare functionality to Cybertruck customers who otherwise have no backup with development of the powershare gateway. As well as those with solar…
— Wes (@wmorrill3) December 12, 2025
He said that “it turned out to be much harder than anticipated to make powershare work seamlessly with existing Powerwalls through existing wall connectors. Two grid-forming devices need to negotiate who will form and who will follow, depending on the state of charge of each, and they need to do this without a network and through multiple generations of hardware, and test and validate this process through rigorous certifications to ensure grid safety.”
It’s nice to see the transparency, but it is justified for some Cybertruck owners to feel like they’ve been bait-and-switched.
Tesla has opened its northernmost Supercharger in Fairbanks, Alaska, with eight V4 stalls located in one of the most frigid cities in the U.S.
Located just 196 miles from the Arctic Circle, Fairbanks’s average temperature for the week was around -12 degrees Fahrenheit. However, there are plenty of Tesla owners in Alaska who have been waiting for more charging options out in public.
There are only 36 total Supercharger stalls in Alaska, despite being the largest state in the U.S.
Eight Superchargers were added to Fairbanks, which will eventually be a 48-stall station. Tesla announced its activation today:
North America’s northernmost Supercharger Fairbanks, AK (8 stalls) opened to public. https://t.co/M4l04DZ6B5 pic.twitter.com/zyL6bDuA93
— Tesla Charging (@TeslaCharging) December 12, 2025
The base price per kWh is $0.43 at the Fairbanks Supercharger. Thanks to its V4 capabilities, it can charge at speeds up to 325 kW.
Despite being the northernmost Supercharger in North America, it is not even in the Top 5 northernmost Superchargers globally, because Alaska is south of Norway. The northernmost Supercharger is in Honningsvåg, Norway. All of the Top 5 are in the Scandanavian country.
Tesla’s Supercharger expansion in 2025 has been impressive, and although it experienced some early-quarter slowdowns due to V3-to-V4 hardware transitions, it has been the company’s strongest year for deployments.
🚨🚨 Tesla Supercharging had a HUGE year, and they deserve to be recognized.
🍔 Opened Tesla Diner, a drive-in movie theater with awesome, Chef-curated cuisine
🔌 Gave access to Superchargers to several EV makers, including Hyundai, Genesis, Mercedes-Benz, Kia, Lucid, Toyota,… pic.twitter.com/yYT2QEbqoW
— TESLARATI (@Teslarati) December 10, 2025
Through the three quarters of 2025, the company has added 7,753 stations and 73,817 stalls across the world, a 16 percent increase in stations and an 18 percent increase in stalls compared to last year.
Tesla is on track to add over 12,000 stalls for the full year, achieving an average of one new stall every hour, an impressive statistic.
Recently, the company wrapped up construction at its Supercharger Oasis in Lost Hills, California, a 168-stall Supercharger that Tesla Solar Panels completely power. It is the largest Supercharger in the world.
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Tesla shocks with latest Robotaxi testing move
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
Tesla Model S vehicles were spotted performing validation testing with LiDAR rigs in California today, a pretty big switch-up compared to what we are used to seeing on the roads.
Tesla utilizes the Model Y crossover for its Robotaxi fleet. It is adequately sized, the most popular vehicle in its lineup, and is suitable for a wide variety of applications. It provides enough luxury for a single rider, but enough room for several passengers, if needed.
However, the testing has seemingly expanded to one of Tesla’s premium flagship offerings, as the Model S was spotted with the validation equipment that is seen entirely with Model Y vehicles. We have written several articles on Robotaxi testing mules being spotted across the United States, but this is a first:
🚨 Tesla is using Model S vehicles fitted with LiDAR rigs to validate FSD and Robotaxi, differing from the Model Ys that it uses typically
Those Model Y vehicles have been on the East Coast for some time. These Model S cars were spotted in California https://t.co/CN9Bw5Wma8 pic.twitter.com/UE55hx5mdd
— TESLARATI (@Teslarati) December 11, 2025
Why Tesla has chosen to use a couple of Model S units must have a reason; the company is calculated in its engineering and data collection efforts, so this is definitely more than “we just felt like giving our drivers a change of scenery.”
It seems to hint that Tesla could add a premium, more luxury offering to its Robotaxi platform eventually. Think about it: Uber has Uber Black, Lyft has Lyft Black. These vehicles and services are associated with a more premium cost as they combine luxury models with more catered transportation options.
Tesla could be testing the waters here, and it could be thinking of adding the Model S to its fleet of ride-hailing vehicles.
Reluctant to remove the Model S from its production plans completely despite its low volume contributions to the overall mission of transitioning the world to sustainable energy, the flagship sedan has always meant something. CEO Elon Musk referred to it, along with its sibling Model X, as continuing on production lines due to “sentimental reasons.”
However, its purpose might have been expanded to justify keeping it around, and why not? It is a cozy, premium offering, and it would be great for those who want a little more luxury and are willing to pay a few extra dollars.
Of course, none of this is even close to confirmed. However, it is reasonable to speculate that the Model S could be a potential addition to the Robotaxi fleet. It’s capable of all the same things the Model Y is, but with more luxuriousness, and it could be the perfect addition to the futuristic fleet.
Tesla updates Cybertruck owners about key Powershare feature
Tesla’s northernmost Supercharger in North America opens
