News
Amazon employees demand stoppage of facial recognition contract with law enforcement
Amazon workers have penned a letter to Jeff Bezos calling on the CEO to immediately cancel the access of law enforcement agencies to its Rekognition facial recognition system. The employees’ letter comes on the heels of several Amazon shareholders who have also asked the e-commerce giant to stop selling Rekognition to the police.
As could be seen in the letter to the CEO, Amazon’s employees stated that they do not agree to have their work used for purposes that could target marginalized groups. The letter also cited the United States government’s practice of separating children away from their parents at the border as a key reason why Amazon should cancel its contract with law enforcement agencies. Amazon workers further called for the removal of Palantir, a data-mining company, from the client list of Amazon Web Services (AWS). Palantir, a company founded by Peter Thiel, currently has a contract with ICE and is actively involved in the agency’s deportation and detention programs.
Rekognition is, at its core, an API for deep learning-based analysis to detect, track, and analyze people and objects in videos. In Amazon’s advertisement for the service on YouTube, the company could be seen promoting Rekognition’s facial tracking capabilities such as smart home monitoring, celebrity detection in videos, and more serious applications such as the recognition and tracking of persons of interest. An investigation conducted by the American Civil Liberties Union earlier this year determined that Amazon actively marketed Rekognition to law enforcement officials, citing the software’s advanced face tracking capabilities.
- A demonstration of the capabilities of Amazon Rekognition. [Credit: Amazon Cloud Services/YouTube]
- A demonstration of the capabilities of Amazon Rekognition. [Credit: Amazon Cloud Services/YouTube]
The Amazon employees’ initiative against the company’s ties to law enforcement comes on the heels of similar protests in Microsoft and Google. Earlier this year, Google was beset by a brief exodus of workers and employee protests after it was revealed that the company had aided the Pentagon in its AI-driven Project Maven initiative, which uses artificial intelligence to effectively analyze footage from military drones. While Google stated that the work it has done with the Pentagon was mundane, the company ultimately opted not to renew its Project Maven contract, while also announcing new ethics principles to govern its artificial intelligence work.
Microsoft also found itself in hot water last May after it was revealed that the company has a $19.4 million contract with the United States’ Immigration and Customs Enforcement (ICE). In a letter addressed to CEO Satya Nadella, Microsoft employees stated that they “refuse to be complicit” in ICE’s practice of marginalizing select ethnic groups and actively separating families. In a response to its employees’ protests, Microsoft noted that the company only provides non-surveillance services such as mail, calendar, messaging and document management to the government agency.
The Amazon workers’ full letter to Jeff Bezos could be read in full below.
Dear Jeff,
We are troubled by the recent report from the ACLU exposing our company’s practice of selling AWS Rekognition, a powerful facial recognition technology, to police departments and government agencies. We don’t have to wait to find out how these technologies will be used. We already know that in the midst of historic militarization of police, renewed targeting of Black activists, and the growth of a federal deportation force currently engaged in human rights abuses — this will be another powerful tool for the surveillance state, and ultimately serve to harm the most marginalized. We are not alone in this view: over 40 civil rights organizations signed an open letter in opposition to the governmental use of facial recognition, while over 150,000 individuals signed another petition delivered by the ACLU.
We also know that Palantir runs on AWS. And we know that ICE relies on Palantir to power its detention and deportation programs. Along with much of the world we watched in horror recently as U.S. authorities tore children away from their parents. Since April 19, 2018 the Department of Homeland Security has sent nearly 2,000 children to mass detention centers. This treatment goes against U.N. Refugee Agency guidelines that say children have the right to remain united with their parents, and that asylum-seekers have a legal right to claim asylum. In the face of this immoral U.S. policy, and the U.S.’s increasingly inhumane treatment of refugees and immigrants beyond this specific policy, we are deeply concerned that Amazon is implicated, providing infrastructure and services that enable ICE and DHS.
Technology like ours is playing an increasingly critical role across many sectors of society. What is clear to us is that our development and sales practices have yet to acknowledge the obligation that comes with this. Focusing solely on shareholder value is a race to the bottom, and one that we will not participate in.
We refuse to build the platform that powers ICE, and we refuse to contribute to tools that violate human rights.
As ethically concerned Amazonians, we demand a choice in what we build, and a say in how it is used. We learn from history, and we understand how IBM’s systems were employed in the 1940s to help Hitler. IBM did not take responsibility then, and by the time their role was understood, it was too late. We will not let that happen again. The time to act is now.
We call on you to:
- Stop selling facial recognition services to law enforcement
- Stop providing infrastructure to Palantir and any other Amazon partners who enable ICE.
- Implement strong transparency and accountability measures, that include enumerating which law enforcement agencies and companies supporting law enforcement agencies are using Amazon services, and how.
Our company should not be in the surveillance business; we should not be in the policing business; we should not be in the business of supporting those who monitor and oppress marginalized populations.
Sincerely,
Amazonians
Here’s Amazon’s advertisement for Rekognition.
https://www.youtube.com/watch?v=SNONL4IecHE
Elon Musk
Elon Musk proposes Grok 5 vs world’s best League of Legends team match
Musk’s proposal has received positive reception from professional players and Riot Games alike.
Elon Musk has proposed a high-profile gaming challenge for xAI’s upcoming Grok 5. As per Musk, it would be interesting to see if the large language model could beat the world’ best human League of Legends team with specific constraints.
Musk’s proposal has received positive reception from professional players and Riot Games alike, suggesting that the exciting exhibition match might indeed happen.
Musk outlines restrictions for Grok
In his post on X, Musk detailed constraints to keep the match competitive, including limiting Grok to human-level reaction times, human-speed clicking, and viewing the game only through a camera feed with standard 20/20 vision. The idea quickly circulated across the esports community, drawing commentary from former pros and AI researchers, as noted in a Dexerto report.
Former League pro Eugene “Pobelter” Park expressed enthusiasm, offering to help Musk’s team and noting the unique comparison to past AI-versus-human breakthroughs, such as OpenAI’s Dota 2 bots. AI researcher Oriol Vinyals, who previously reached Grandmaster rank in StarCraft, suggested testing Grok in RTS gameplay as well.
Musk welcomed the idea, even responding positively to Vinyals’ comment that it would be nice to see Optimus operate the mouse and keyboard.
Pros debate Grok’s chances, T1 and Riot show interest
Reactions weren’t universally optimistic. Former professional mid-laner Joedat “Voyboy” Esfahani argued that even with Grok’s rapid learning capabilities, League of Legends requires deep synergy, game-state interpretation, and team coordination that may be difficult for AI to master at top competitive levels. Yiliang “Doublelift” Peng was similarly skeptical, publicly stating he doubted Grok could beat T1, or even himself, and jokingly promised to shave his head if Grok managed to win.
T1, however, embraced the proposal, responding with a GIF of Faker and the message “We are ready,” signaling their willingness to participate. Riot Games itself also reacted, with co-founder Marc Merrill replying to Musk with “let’s discuss.” Needless to say, it appears that Riot Games in onboard with the idea.
Though no match has been confirmed, interest from players, teams, and Riot suggests the concept could materialize into a landmark AI-versus-human matchup, potentially becoming one of the most viewed League of Legends events in history. The fact that Grok 5 will be constrained to human limits would definitely add an interesting dimension to the matchup, as it could truly demonstrate how human-like the large language model could be like in real-time scenarios.
Tesla has passed a key milestone, and it was one that CEO Elon Musk initially mentioned more than nine years ago when he published Master Plan, Part Deux.
As per Tesla China in a post on its official Weibo account, the company’s Autopilot system has accumulated over 10 billion kilometers of real-world driving experience.
Tesla China’s subtle, but huge announcement
In its Weibo post, Tesla China announced that the company’s Autopilot system has accumulated 10 billion kilometers of driving experience. “In this respect, Tesla vehicles equipped with Autopilot technology can be considered to have the world’s most experienced and seasoned driver.”
Tesla AI’s handle on Weibo also highlighted a key advantage of the company’s self-driving system. “It will never drive under the influence of alcohol, be distracted, or be fatigued,” the team wrote. “We believe that advancements in Autopilot technology will save more lives.”
Tesla China did not clarify exactly what it meant by “Autopilot” in its Weibo post, though the company’s intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.
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Elon Musk’s 10-billion-km estimate, way back in 2016
When Elon Musk published Master Plan Part Deux, he outlined his vision for the company’s autonomous driving system. At the time, Autopilot was still very new, though Musk was already envisioning how the system could get regulatory approval worldwide. He estimated that worldwide regulatory approval will probably require around 10 billion miles of real-world driving data, which was an impossible-sounding amount at the time.
“Even once the software is highly refined and far better than the average human driver, there will still be a significant time gap, varying widely by jurisdiction, before true self-driving is approved by regulators. We expect that worldwide regulatory approval will require something on the order of 6 billion miles (10 billion km). Current fleet learning is happening at just over 3 million miles (5 million km) per day,” Musk wrote.
It’s quite interesting but Tesla is indeed getting regulatory approval for FSD (Supervised) at a steady pace today, at a time when 10 billion miles of data has been achieved. The system has been active in the United States and has since been rolled out to other countries such as Australia, New Zealand, China, and, more recently, South Korea. Expectations are high that Tesla could secure FSD approval in Europe sometime next year as well.
News
Elon Musk’s Boring Company reveals Prufrock TBM’s most disruptive feature
As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.
The Boring Company has quietly revealed one of its tunnel boring machines’ (TBMs) most underrated feature. As it turns out, the tunneling startup, similar to other Elon Musk-backed ventures, is also dead serious about pursuing reusability.
Prufrock 5 leaves the factory
The Boring Company is arguably the quietest venture currently backed by Elon Musk, inspiring far fewer headlines than his other, more high-profile companies such as Tesla, SpaceX, and xAI. Still, the Boring Company’s mission is ambitious, as it is a company designed to solve the problem of congestion in cities.
To accomplish this, the Boring Company would need to develop tunnel boring machines that could dig incredibly quickly. To this end, the startup has designed Prufrock, an all-electric TBM that’s designed to eventually be fast enough as an everyday garden snail. Among TBMs, such a speed would be revolutionary.
The startup has taken a step towards this recently, when The Boring Company posted a photo of Prufrock-5 coming out of its Bastrop, Texas facility. “On a rainy day in Bastrop, Prufrock-5 has left the factory. Will begin tunneling by December 1. Hoping for a step function increase in speed,” the Boring Company wrote.
Prufrock’s quiet disruption
Interestingly enough, the Boring Company also mentioned a key feature of its Prufrock machines that makes them significantly more sustainable and reusable than conventional TBMs. As per a user on X, standard tunnel boring machines are often left underground at the conclusion of a project because retrieving them is usually more expensive and impractical than abandoning them in the location.
As per the Boring Company, however, this is not the case for its Prufrock machines, as they are retrieved, upgraded, and deployed again with improvements. “All Prufrocks are reused, usually with upgrades between launches. Prufrock-1 has now dug six tunnels,” the Boring Company wrote in its reply on X.
The Boring Company’s reply is quite exciting as it suggests that the TBMs from the tunneling startup could eventually be as reusable as SpaceX’s boosters. This is on brand for an Elon Musk-backed venture, of course, though the Boring Company’s disruption is a bit more underground.
News
Tesla accused of infringing robotics patents in new lawsuit
Tesla is being accused of infringing robotics patents by a company called Perrone Robotics, which is based out of Charlottesville, Virginia.
The suit was filed in Alexandria, Virginia, and accuses Tesla of knowingly infringing upon five patents related to robotics systems for self-driving vehicles.
The company said its founder, Paul Perrone, developed general-purpose robotics operating systems for individual robots and automated devices.
Perrone Robotics claims that all Tesla vehicles utilizing the company’s Autopilot suite within the last six years infringe the five patents, according to a report from Reuters.
Tesla’s new Safety Report shows Autopilot is nine times safer than humans
One patent was something the company attempted to sell to Tesla back in 2017. The five patents cover a “General Purpose Operating System for Robotics,” otherwise known as GPROS.
The GPROS suite includes extensions for autonomous vehicle controls, path planning, and sensor fusion. One key patent, U.S. 10,331,136, was explicitly offered to Tesla by Perrone back in 2017, but the company rejected it.
The suit aims to halt any further infringements and seeks unspecified damages.
This is far from the first suit Tesla has been involved in, including one from his year with Perceptive Automata LLC, which accused Tesla of infringing on AI models to interpret pedestrian/cyclist intent via cameras without licensing. Tesla appeared in court in August, but its motion to dismiss was partially denied earlier this month.
Tesla also settled a suit with Arsus LLC, which accused Autopilot’s electronic stability features of infringing on rollover prevention tech. Tesla won via an inter partes review in September.
Most of these cases involve non-practicing entities or startups asserting broad autonomous vehicle patents against Tesla’s rapid iteration.
Tesla typically counters with those inter partes reviews, claiming invalidity. Tesla has successfully defended about 70 percent of the autonomous vehicle lawsuits it has been involved in since 2020, but settlements are common to avoid discovery costs.
The case is Perrone Robotics Inc v Tesla Inc, U.S. District Court, Eastern District of Virginia, No. 25-02156. Tesla has not yet listed an attorney for the case, according to the report.

