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Scientists genetically engineer houseplant to remove carcinogens from air

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Scientists at the civil and environmental engineering department at the University of Washington have genetically modified a common houseplant to break down toxic molecules present in chlorinated water and gasoline. The plant, “pothos ivy”, was engineered to express a protein called 2E1 which enables the breakdown of benzene and chloroform into components the plant can use for its own needs. The targeted chemicals are found in small amounts inside typical households, building up over time, but the size of their molecules is too small to be caught by HEPA filters. Since exposure to these chemicals has been linked to cancer, this scientific accomplishment is good news for human health.

In their study published on December 19, 2018 in the journal Environmental Science & Technology, researchers Long Zhang, Ryan Routsong, and Stuart E. Strand described the process they used to modify the pothos ivy plant. The plant was chosen because it was robust and able to grow under many different conditions, and the protein used – P450 2E1, “2E1” for short – is naturally present in all mammals. In humans, 2E1 is in the liver and only turns on to break down alcohol, thus it’s not helpful for breaking down air pollutants. For this reason, the team’s work was focused on making its functionality available outside of the body – they call it a “green liver” concept.

The modified pothos ivy plant in the laboratory. | Credit: Mark Stone/University of Washington

A synthetic version of the 2E1 protein occurring in rabbits was introduced to the pothos ivy so that every cell expressed it. In a test tube trial performed after the genetic modification, chloroform concentration dropped 82 percent after three days, undetectable by six days, and the benzene concentration dropped 75 percent by day eight in vials containing the plants and respective gases. To achieve the benefits of the modified functionality in a household setting, the chemicals will need to be moved to where the plant is located. “If you had a plant growing in the corner of a room, it will have some effect in that room,” Stuart Strand, one of the scientist in the study, said. “But without air flow, it will take a long time for a molecule on the other end of the house to reach the plant.”

Benzene is a common industrial chemical used to make plastics, dyes, detergents, and pesticides, among other things, and is generally found in both rural and urban areas. Its links to cancer are very clear – the most common being leukemia – which has led to significant regulation. While the amount most are exposed to is very low, over time it can build up, especially in areas with heavy traffic, cigarette fumes, and low ventilation. Chloroform is a chemical used that can be released into the air when chlorine is used to clean drinking water, waste water, and swimming pools. Although no direct association between cancer and inhaled exposure to chloroform, the Environmental Protection Agency (EPA) considers it to be a probable human carcinogen due to studies linking high exposure via oral ingestion to cancer.

The process of engineering the plant to function as desired took the team over two years, a significant amount of time compared to the months-long processes of other similar modification projects. However, the time spent was considered to be worthwhile due to both the results achieved and the hardiness of the plant used. They are now working to add the breakdown of formaldehyde to the plant’s capabilities using a different protein. Formaldehyde is a substance present in most building products and tobacco smoke that is also linked to cancer, asthma, and allergies.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Starlink passes 9 million active customers just weeks after hitting 8 million

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

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Credit: Starlink/X

SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark. 

The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.

9 million customers

In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day. 

“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote. 

That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.

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Starlink’s momentum

Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.

Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future. 

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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.

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Credit: Grok Imagine

NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”

After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”

Jim Fan’s hands-on FSD v14 impressions

Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14

“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X. 

Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”

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The Physical Turing Test

The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning. 

This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.

Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.

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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1

The update was released just a day after FSD v14.2.2 started rolling out to customers. 

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Credit: Grok

Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers. 

Tesla owner shares insights on FSD v14.2.2.1

Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.

Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.

“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.

Tesla’s FSD v14.2.2 update

Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.

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New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.

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