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US military uses genetic engineering to develop “living tripwires” for submarines
The US Department of Defense (DoD) is investing $45 million dollars in a tri-service effort that focuses on synthetic biology (SynBio) for use in military technologies. This interdisciplinary scientific field primarily involves altering the genetic makeup of organisms to achieve specific behavior, and the military wants in on its potential applications. By uniting SynBio experts within the US Air Force, Army, and Navy, DoD officials hope to develop serious capabilities for use throughout the military’s branches.
The long form name of this project is the Applied Research for the Advancement of Science and Technology Priorities Program on Synthetic Biology for Military Environments, and the mission is obvious from its title alone. While still in the early research stages, engineering organisms could provide numerous tools with direct defense applications.
For example, organisms engineered to change their colors based on their environment could be used as living camouflage, and medications infused with protective microbes could help service member survival in tough conditions. However, it’s perhaps the US Naval Research Laboratory (NRL) in Washington DC that may hold the relevant interest in developing SynBio capabilities due to the marine environment potentials it holds.
Above the water, engineered self-repairing organisms could spell out self-healing paint for ships and aircraft carriers, cutting billions from the US Navy’s fleet maintenance costs. Even more important for defense needs, though, are the modified organisms that could help the branch’s deep water operations, i.e., submarines. By modifying the environmental response of naturally present organisms, naval defense could have a new type of radar at their disposal.
An abundant seawater-native bacteria with “clinging” properties called Marinobacter is a prime candidate for the DoD’s purposes. Specifically, the organism could be genetically engineered to react to certain types of molecules that aren’t naturally occurring in the ocean, such as diesel fuel or human DNA, and then spread into targeted environments for monitoring. This reaction could perhaps be the release of an electron, thus creating an electrical signal which nearby drones could pick up and transmit where necessary. The ability to detect non-friendly submarines is the key capability the researchers are aiming to achieve, the bacteria acting as “living tripwires.”
The field of synthetic biology is not new in the civilian world. In fact, consumer products currently exist based on it, such as bio fuels, soaps, cleaners, food additives, and a variety of industrial and manufacturing products. One of the challenges of bringing this type of technology to the field for military use is making the modified organisms tough enough to endure the environments needed.
“If you want to move a biological bio-based sensor to the field you try to ruggedize those organisms. You try to protect them…[and]…increase their longevity in these harsh environments,” explained Dimitra Stratis-Cullum, the lead of U.S. Army Research Laboratory biomaterials team, in a recent forum hosted by the Johns Hopkins University Applied Physics Laboratory.
The current genetic research being conducted in SynBio has demonstrated that the genes of E. coli bacteria can be manipulated to express properties relevant to the larger goal of underwater sensing. However, the significant differences between the E. Coli and the types of organisms natural to deep water environments, such as Marinobacter, can be compared to the differences between mice and humans.
The initial point really is to either prove that the desired outcome is possible or collect data to assist in that effort. In other words, there’s still a lot of work to be done, but making the effort a priority, such as what the Navy’s done with its “Task Force Ocean” mission aimed at strengthening partnerships within academia and the private sector regarding Navy-relevant ocean science, is a focused step in the right direction for the military to achieve its goals in SynBio.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
Elon Musk
SpaceX Starship just nailed something it’s never done before
SpaceX’s Starship flew successfully Friday, landing both stages and deploying its first Starlink V3 satellites.
Starship’s thirteenth test flight delivered exactly what SpaceX needed with a clean liftoff, two successful stage recoveries, and the first real payload the vehicle has ever carried to space. Booster 20 and Ship 40 lifted off at 5:51 p.m. CT from Starbase, and by the time the mission wrapped roughly an hour later, both halves of the rocket had done exactly what they were supposed to do.
Booster 20 separated from Ship 40 a few minutes into the flight and stuck a controlled splashdown in the Gulf of Mexico about six minutes after liftoff. That is a meaningful turnaround from Flight 12 in May, when the booster lost several engines during its boostback burn before a hard water landing attempt.
Starship as seen from Starlink satellites pic.twitter.com/e2hvfmnewh
— Elon Musk (@elonmusk) July 25, 2026
Starship 40’s performance was arguably the bigger win. The vehicle deployed the first 20 operational Starlink V3 satellites Starship has ever carried, then flew a suborbital arc to a landing in the Indian Ocean that SpaceX commentator Dan Huot called the company’s softest splashdown yet. “This is a dream scenario for this team that’s trying to get this heat shield data,” Huot said on the live broadcast, according to Space.com’s live coverage. “I’m a little over the moon right now. Wow. Lucky number 13.”
Unlike the mass simulators SpaceX flew on Flight 12, these were production Starlink V3 satellites, meant to extend solar arrays and antennas and attempt to link with the broader constellation before reentering minutes later. Getting real hardware through a full deploy sequence on only the second flight of the V3 generation keeps Starship on schedule for the payload work NASA is counting on for future Artemis lunar landings.
What an awesome launch, really seems like everything went super well and it was all incredibly smooth.
SpaceX is awesome. Very interested to see how the market will respond on Monday pic.twitter.com/KSHmyBfV55
— TESLARATI (@Teslarati) July 25, 2026
— TESLARATI (@Teslarati) July 25, 2026
The flight also arrives at a moment when SpaceX needed a win. SPCX has traded below its $135 IPO price since mid-July, as Teslarati reported when the mission slipped to Friday, and short interest has climbed to roughly a third of the tradable float. A clean flight will not fix a balance sheet, but it does answer the one question SpaceX absolutely needed answered this week: whether the fixes made after the July 16 abort would hold up under real flight conditions. They did, on both stages, on the first try after the redesign.
SpaceX has not set a target date for Flight 14, though the company has said it wants to push toward an orbital attempt on the next mission. After Friday, that goal looks a lot more within reach.
Tesla to open source Model S and Model X designs and software
Tesla flexes incredible Robotaxi metric that skeptics will hate
