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.
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- A demonstration of the capabilities of Amazon Rekognition. [Credit: Amazon Cloud Services/YouTube]
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- 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
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
