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Scientists genetically engineer houseplant to remove carcinogens from air
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.
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.
Elon Musk
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
Tesla Semi’s official battery capacity leaked by California regulators
The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
