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Amazon employees demand stoppage of facial recognition contract with law enforcement

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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. 

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.

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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.

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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.

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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.

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https://www.youtube.com/watch?v=SNONL4IecHE

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk says your Tesla will start to learn your individual preferences

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Credit: Tesla

Elon Musk said today on X that Teslas will start to learn your individual preferences. This is something that he seemed to hint toward earlier this month when he said parking was by far the biggest reason drivers intervene with Full Self-Driving.

Musk made the comment in response to notable Tesla influencer Whole Mars, who said that his vehicle will sometimes disobey the settings he has enabled for his car. He responded to the post, stating that “The car will start to remember your specific interventions and match each person’s individual preferences.”

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This is something that could be perhaps one of the biggest ways Tesla could minimize or even work closer toward eliminating interventions altogether. While FSD does a lot of things really well, many people intervene a vast majority of the time not due to major or critical safety errors.

Instead, many take over because the car is doing something that they do not like as a preference; it might park in a parking spot that is not preferred by the driver, it might linger too long in the left lane on the highway (a personal favorite), or it could even take a route that the driver does not like.

These all lead to interventions, but they are not triggered by a major safety issue. Instead, it’s just preference.

READ OUR REVIEW OF TESLA’S LATEST FSD VERSION:

Tesla Full Self-Driving v14.3.5 Early Impressions: new features and early performance

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If Teslas could start to learn the personal preferences of the person who owns them, interventions will truly begin to be less frequent. Some of this is already pretty evident, in my opinion. Teslas use a neural network to learn behaviors and accumulate data to improve performance.

For months now, we’ve tracked FSD’s performance at “Except Right Turn” stop signs, something that is very common in Pennsylvania, but many of our readers located in other parts of the U.S. have never heard of. FSD handles one Except Right Turn stop sign very well, one that I travel past frequently. Others that I do not navigate through as often do not have as confident a performance. It seems like the cars might already be doing this to an extent.

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That example is also for something that is a street sign and not necessarily a driver preference; however, I still feel it is worth mentioning because it only handles that commonly passed Except Right Turn stop sign with true confidence. Others it still seems to struggle with.

This could be one of Tesla’s big moves toward full autonomy, and it could be a pathway to truly unsupervised driving. Every day, millions of cars on the road travel at a human driver’s personal preferences with no incident. Why can’t autonomous vehicles still cater to a passenger’s preferences while being autonomous? Tesla seems to have the idea that it would be possible.

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Ron DeSantis calls out media bias in Tesla crash coverage

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Credit: ABC News

Florida Governor Ron DeSantis has sharply criticized legacy media outlets for what he describes as selective and biased reporting on vehicle accidents involving Tesla. In a recent X post, DeSantis questioned why headlines routinely spotlight the Tesla brand in crash stories, even when human error is the clear cause, while similar incidents with other automakers often receive generic treatment.

A prime example is the June 19, 2026, fatal crash in Katy, Texas. A Tesla Model 3 driven by Michael Butler struck a brick home at high speed, killing 76-year-old Martha Avila inside. Initial reports and headlines prominently featured “Tesla crash” and referenced the driver’s claim that an automated driving-assistance system was engaged.

Many outlets quickly speculated that Full Self-Driving or Autopilot were the cause of the crash, immediately blaming the suites for the accident shortly after it happened.

However, Tesla responded shortly after the accident with vehicle data that showed Butler manually overrode the system by pressing the accelerator to 100 percent, reaching 73 MPH in a residential area, more than double the speed limit. The accelerator remained floored after impact.

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Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

The National Transportation Safety Board (NTSB) later confirmed these findings, and Butler now faces manslaughter charges. His phone searches also included queries like “Tesla FSD too timid,” suggesting he may have intervened aggressively. Despite this, many headlines continued to center Tesla’s technology rather than the driver’s actions.

DeSantis highlighted a Washington Post headline, which was labeled, “Newly released photo shows wreckage of Tesla crash that killed grandmother.”

The subheadline noted the driver overrode assistance and floored the accelerator, yet the brand name dominated the framing. He asked whether legacy outlets typically name the make of a car in routine crashes or reserve that treatment for Tesla to push a narrative.

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This pattern appears widespread. Crashes involving Ford, Chevrolet, or Toyota vehicles frequently appear as “pickup truck slams into home” or “fatal car crash kills pedestrian” without brand specifics, especially absent new technology angles.

High-profile Ford F-150 or Chevy Silverado incidents tied to large sales volumes often escape brand-callout scrutiny. In contrast, Tesla stories consistently lead with the manufacturer, amplifying perceptions of risk despite data showing strong overall safety performance:

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Tesla’s own 2025 Impact Report indicates vehicles using FSD logged 0.19 major incidents per million miles, roughly eight times fewer than the U.S. average. Models like the Model Y also rank among the safest in IIHS and NHTSA testing for occupant protection. Critics argue disproportionate coverage ignores these statistics and driver behavior factors, such as younger or more aggressive Tesla owners in some studies.

DeSantis frames this as part of a broader political agenda against innovative American companies like Tesla. By consistently naming Tesla while downplaying others, media outlets risk eroding public trust and shaping perceptions detached from the evidence of human error in most cases.

As autonomous technology evolves across the industry, consistent and factual reporting will be essential to separate real safety concerns from narrative-driven coverage.

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Tesla enters two new markets on two different continents in one week

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Tesla entered two new markets this week by advancing its presence in Latvia (Europe) and officially launching operations in Uruguay (South America), marking a rapid dual-continent expansion.

These moves underscore the company’s strategy to tap into emerging EV markets with supportive policies, renewable energy grids, and growing demand for sustainable transport.

Latvia: Strengthening the Baltic Footprint

In Latvia, Tesla has built on its earlier registration of Tesla Latvia SIA in late 2025 with recent steps toward full operations, including job postings for a service center and representation in Riga. This aligns with broader Baltic expansion following Lithuania’s model of pop-up stores and service centers.

EV penetration in Latvia stands at around 7 percent for BEVs in new passenger car registrations. 2025 data showed 1,602 BEVs out of about 22,500 total, or 7.1 percent, with combined plug-ins nearing 19 percent. Growth has been steady but below the European average, supported by government subsidies and infrastructure development. Tesla models like the Model 3 lead local EV registrations.

Vehicles for the Latvian market will likely be sourced from Gigafactory Berlin or Gigafactory Shanghai. Charging infrastructure is robust for the region as well, with over 400- 2,000 public points, with Tesla Superchargers in Riga, Jūrmala, and along Via Baltica routes offering up to 250 kW.

Uruguay: Third South American Country

Tesla teased its Uruguay arrival with “Estamos llegando,” or, “We are arriving,” on social media, followed by an official presentation scheduled for mid-July.

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The company established Tesla Uruguay SAS, homologated Model 3 and Model Y (three versions each), and appointed local leadership. This makes Uruguay Tesla’s third official South American market after Chile and Colombia.

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Uruguay boasts one of Latin America’s highest EV penetrations, with battery-electric vehicles exceeding 20 percent market share recently, driven by tax incentives, high fuel prices, and a nearly 95-100 percent renewable electricity grid. Hundreds of Teslas already operate via grey imports, but official sales bring warranties, service, and support.

Vehicles will be imported from Gigafactory Shanghai, enabling competitive pricing for Model 3 and Model Y. Charging plans include Supercharger development alongside existing infrastructure, leveraging the country’s green energy advantage for affordable operation.

Tesla Superchargers follow Model 3 and Model Y to South American country

Tesla’s Dual Continent Expansion

Tesla’s simultaneous push into Latvia and Uruguay demonstrates efficient scaling: prioritizing service and infrastructure first, then direct sales in high-potential niches. In Europe, it fills Baltic gaps; in Latin America, it counters Chinese dominance while leveraging renewables.

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This dual move signals Tesla’s ambition to accelerate global EV adoption amid varying regional paces. By addressing local needs, like subsidies in Latvia or incentives and green grids in Uruguay, Tesla not only boosts volumes but advances its mission of sustainable energy.

For investors and consumers, it highlights resilience and opportunity in diverse markets, potentially paving the way for further growth in underserved regions. With strong fundamentals in both, these entries could yield long-term gains as EV transitions mature worldwide.

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