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Scientists create bio-engineered mushroom that generates renewable energy

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A mushroom has been turned into a renewable energy generator using 3D printed materials and bacteria. In a paper published by the journal Nano Letters, scientists from the Stevens Institute of Technology in Hoboken, New Jersey detailed their experiment wherein strands of graphene were intertwined with cyanobacterial cells on a mushroom cap to capture 65 nanoamps of power. While this amount of power is a fraction of what would be needed to power even an LED, the initial results are promising for further development as a source of renewable energy.

A diagram showing the ‘bionic mushroom’ electricity generation process. | Credit: American Chemical Society

What are Cyanobacteria?

Cyanobacteria, more commonly known as “blue-green algae”, are aquatic, photosynthetic bacteria that have been around for about 3.5 billion years. In addition to the energy produced by photosynthesis, cyanobacteria also produce oxygen, and their ancient ancestors are credited with producing the original oxygen in our atmosphere. These bacteria are further responsible for the origin of plants – the chloroplasts that enable photosynthesis are actually cyanobacterium living in plant cells.

When these bacteria photosynthesize, a fraction of the electrons resulting from the process are released into the surrounding environment. This process of light-induced electric current, termed “photocurrent”, is not very efficient in nature. However, the scientists in this experiment designed a 3D-printable mixture with the bacteria which made the distribution of cells more efficient for photocurrent generation and collection. After being printed onto a mushroom cap, the photocurrent produced was eight times greater than what is produced naturally.

An image of Cyanobacteria | Credit: Wikipedia Commons, CC BY-SA 3.0 US

Other Materials

Graphene is a semimetal form of carbon with electrical conductivity and a very thin size. In fact, it’s one of the thinnest materials ever produced. Due to these properties, it was chosen as the base of the 3D printed ink to collect the electricity from the cyanobacteria placed on the mushroom cap. Mushrooms were chosen first to provide a surface and nutrients for the cyanobacteria to grow, and second, they enabled the bacteria to last several days longer compared to other bases and materials.

By accessing and augmenting the unique properties of both the bacteria and nanomaterials (graphene), the scientists in this study have created a new functional bio-hybrid system. With their proof-of-concept “bionic” mushroom, they are hopeful their research can be used to expand to include more bio-hybrid applications. The bacteria themselves have several other properties which can be integrated for purposes such as glowing identification tags for medical use, toxin sensing, and fuel production.

The Future is Now

Cyanobacteria are already being used for other “green” projects besides energy generation, namely in removing CO2 from the air as a result of manufacturing. In one prominent example, Lennaeus University in Sweden has created a system of pushing gases produced in cement production through water bags full of cyanobacteria called the Algoland project. Through this process, nearly all of the CO2 is scrubbed from the emissions using the bacteria’s natural photosynthesis. Other natural limitations of the bacteria are being addressed by projects using techniques such as gene editing for more efficient CO2 conversion and rate of growth.

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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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Elon Musk

Tesla owners surpass 8 billion miles driven on FSD Supervised

Tesla shared the milestone as adoption of the system accelerates across several markets.

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Credit: Tesla

Tesla owners have now driven more than 8 billion miles using Full Self-Driving Supervised, as per a new update from the electric vehicle maker’s official X account. 

Tesla shared the milestone as adoption of the system accelerates across several markets.

“Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in its post on X. Tesla also included a graphic showing FSD Supervised’s miles driven before a collision, which far exceeds that of the United States average. 

The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable. As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.

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At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.

Tesla also recently updated the safety data for FSD Supervised on its website, covering North America across all road types over the latest 12-month period.

As per Tesla’s figures, vehicles operating with FSD Supervised engaged recorded one major collision every 5,300,676 miles. In comparison, Teslas driven manually with Active Safety systems recorded one major collision every 2,175,763 miles, while Teslas driven manually without Active Safety recorded one major collision every 855,132 miles. The U.S. average during the same period was one major collision every 660,164 miles.

During the measured period, Tesla reported 830 total major collisions with FSD (Supervised) engaged, compared to 16,131 collisions for Teslas driven manually with Active Safety and 250 collisions for Teslas driven manually without Active Safety. Total miles logged exceeded 4.39 billion miles for FSD (Supervised) during the same timeframe.

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The Boring Company’s Music City Loop gains unanimous approval

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project.

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(Credit: The Boring Company)

The Metro Nashville Airport Authority (MNAA) has approved a 40-year agreement with Elon Musk’s The Boring Company to build the Music City Loop, a tunnel system linking Nashville International Airport to downtown. 

After eight months of negotiations, MNAA board members voted unanimously on Feb. 18 to move forward with the project. Under the terms, The Boring Company will pay the airport authority an annual $300,000 licensing fee for the use of roughly 933,000 square feet of airport property, with a 3% annual increase.

Over 40 years, that totals to approximately $34 million, with two optional five-year extensions that could extend the term to 50 years, as per a report from The Tennesean.

The Boring Company celebrated the Music City Loop’s approval in a post on its official X account. “The Metropolitan Nashville Airport Authority has unanimously (7-0) approved a Music City Loop connection/station. Thanks so much to @Fly_Nashville for the great partnership,” the tunneling startup wrote in its post. 

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Once operational, the Music City Loop is expected to generate a $5 fee per airport pickup and drop-off, similar to rideshare charges. Airport officials estimate more than $300 million in operational revenue over the agreement’s duration, though this projection is deemed conservative.

“This is a significant benefit to the airport authority because we’re receiving a new way for our passengers to arrive downtown at zero capital investment from us. We don’t have to fund the operations and maintenance of that. TBC, The Boring Co., will do that for us,” MNAA President and CEO Doug Kreulen said. 

The project has drawn both backing and criticism. Business leaders cited economic benefits and improved mobility between downtown and the airport. “Hospitality isn’t just an amenity. It’s an economic engine,” Strategic Hospitality’s Max Goldberg said.

Opponents, including state lawmakers, raised questions about environmental impacts, worker safety, and long-term risks. Sen. Heidi Campbell said, “Safety depends on rules applied evenly without exception… You’re not just evaluating a tunnel. You’re evaluating a risk, structural risk, legal risk, reputational risk and financial risk.”

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Tesla announces crazy new Full Self-Driving milestone

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

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Credit: Tesla

Tesla has announced a crazy new Full Self-Driving milestone, as it has officially confirmed drivers have surpassed over 8 billion miles traveled using the Full Self-Driving (Supervised) suite for semi-autonomous travel.

The FSD (Supervised) suite is one of the most robust on the market, and is among the safest from a data perspective available to the public.

On Wednesday, Tesla confirmed in a post on X that it has officially surpassed the 8 billion-mile mark, just a few months after reaching 7 billion cumulative miles, which was announced on December 27, 2025.

The number of miles traveled has contextual significance for two reasons: one being the milestone itself, and another being Tesla’s continuing progress toward 10 billion miles of training data to achieve what CEO Elon Musk says will be the threshold needed to achieve unsupervised self-driving.

The milestone itself is significant, especially considering Tesla has continued to gain valuable data from every mile traveled. However, the pace at which it is gathering these miles is getting faster.

Secondly, in January, Musk said the company would need “roughly 10 billion miles of training data” to achieve safe and unsupervised self-driving. “Reality has a super long tail of complexity,” Musk said.

Training data primarily means the fleet’s accumulated real-world miles that Tesla uses to train and improve its end-to-end AI models. This data captures the “long tail” — extremely rare, complex, or unpredictable situations that simulations alone cannot fully replicate at scale.

This is not the same as the total miles driven on Full Self-Driving, which is the 8 billion miles milestone that is being celebrated here.

The FSD-supervised miles contribute heavily to the training data, but the 10 billion figure is an estimate of the cumulative real-world exposure needed overall to push the system to human-level reliability.

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