News
Scientists develop “soft valve” to enable human flesh-like robots
The field of soft robotics has achieved some impressive feats in recent years, meaning we are well on our way to life-like robots that possess the very flesh that distinguishes us from our mechanical brethren. Squishy worms, claws, and octopus arms are a few of the machines in development, but they all still have “hard” parts comprising their inner mechanics. Currently, the valves controlling air pressures to manipulate the bots’ movements are rigid, off-the-shelf components. Now, thanks to a new technology created by scientists at the Professor George Whitesides lab at Woodford L. and Ann A. Flowers University, a squishy valve enabling soft robots is available.

Standard hard pneumatic valves help control the movement of soft robots by pushing air (in most cases) into chambers as directed by the device’s operator or programming. A network of tubes or air bladders are built throughout the robot’s appendages, filling or emptying as needed to effect the desired motion. To provide a soft alternative to the rigid components, there are two concepts the new soft valves were driven by: 1) a fleshy membrane that stretches in two directions, similar to a ‘popper’ vending machine toy; and 2) a soft hose that controls air flow by kinking, similar to how bending a garden hose restricts its water flow.
Soft robots are typically made from silicone. With that in mind, doctoral student Philipp Rothemund and postdoctoral fellow Daniel Preston built their valve into a silicone cylinder, separating it into upper and lower chambers. Each chamber contained soft tubes that would kink depending on whether the membrane was stretched in their direction. As air filled one chamber, the membrane would stretch and kink the air hose in the opposite chamber, shutting off the air flow and thus fulfilling the valve functionality needed for soft robots to work as already designed.
- The soft valve developed for soft robots. | Credit: Harvard University
- The soft valve developed for soft robots. | Credit: Harvard University
Soft robots are generally designed to imitate functionality found in living organisms. The ability for hands to grip, for example, seems simple, but without specific data to work with, robots cannot easily repeat that same functionality, nor with the same amount of agility. Adding the ‘soft’ factor provides flexibility and adaptability. Fleshy materials can conform to objects better than rigid ones, enhancing grip, and their shapes can be pushed or pulled, capabilities that are useful for maneuvering in small spaces or preventing major damage from, say, being run over by a vehicle.
As the soft robotics field expands in its development, we can look forward to new solutions in medicine, operational safety, and tasks otherwise difficult for humans to do without high cost, time, or damage considerations. For example, tubing styled after octopus tentacles could maneuver throughout the body during a surgery, minimizing its invasiveness. One could also imagine a search and rescue soft bot pushing through crevices in rubble to find victims of natural disasters.
Combined with advancements in sensor technologies, we could also see fleshy robots that look, feel, and have a sense of touch like ours. On the plus side, robot hugs might actually feel genuine, and robotic workers could operate in outside environments that lack the precision their rigid counterparts need to function properly. Unfortunately, the down sides are plentiful, and movie studios worldwide have entertained us with numerous cyborg dystopias already.
Watch the below video to see the soft valve in action:
News
Tesla to improve one of its best features, coding shows
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Tesla is looking to upgrade its Matrix Headlights, a unique and high-tech feature that is available on several of its vehicles. The headlights aim to maximize visibility for Tesla drivers while being considerate of oncoming traffic.
The Matrix Headlights Tesla offers utilize dimming of individual light pixels to ensure that visibility stays high for those behind the wheel, while also being considerate of other cars by decreasing the brightness in areas where other cars are traveling.
Here’s what they look like in action:
- Credit: u/ObjectiveScratch | Reddit
- Credit: u/ObjectiveScratch | Reddit
As you can see, the Matrix headlight system intentionally dims the area where oncoming cars would be impacted by high beams. This keeps visibility at a maximum for everyone on the road, including those who could be hit with bright lights in their eyes.
There are still a handful of complaints from owners, however, but Tesla appears to be looking to resolve these with the coming updates in a Software Version that is currently labeled 2026.2.xxx. The coding was spotted by X user BERKANT:
🚨 Tesla is quietly upgrading Matrix headlights.
Software https://t.co/pXEklQiXSq reveals a hidden feature:
matrix_two_stage_reflection_dip
This is a major step beyond current adaptive high beams.
What it means:
• The car detects highly reflective objects
Road signs,… pic.twitter.com/m5UpQJFA2n— BERKANT (@Tesla_NL_TR) February 24, 2026
According to the update, Tesla will work on improving the headlights when coming into contact with highly reflective objects, including road signs, traffic signs, and street lights. Additionally, pixel-level dimming will happen in two stages, whereas it currently performs with just one, meaning on or off.
Finally, the new system will prevent the high beams from glaring back at the driver. The system is made to dim when it recognizes oncoming cars, but not necessarily objects that could produce glaring issues back at the driver.
Tesla’s revolutionary Matrix headlights are coming to the U.S.
This upgrade is software-focused, so there will not need to be any physical changes or upgrades made to Tesla vehicles that utilize the Matrix headlights currently.
Elon Musk
xAI’s Grok approved for Pentagon classified systems: report
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
Elon Musk’s xAI has signed an agreement with the United States Department of Defense (DoD) to allow Grok to be used in classified military systems.
Previously, Anthropic’s Claude had been the only AI system approved for the most sensitive military work, but a dispute over usage safeguards has reportedly prompted the Pentagon to broaden its options, as noted in a report from Axios.
Under the agreement, Grok can be deployed in systems handling classified intelligence analysis, weapons development, and battlefield operations.
The publication reported that xAI agreed to the Pentagon’s requirement that its technology be usable for “all lawful purposes,” a standard Anthropic has reportedly resisted due to alleged ethical restrictions tied to mass surveillance and autonomous weapons use.
Defense Secretary Pete Hegseth is scheduled to meet with Anthropic CEO Dario Amodei in what sources expect to be a tense meeting, with the publication hinting that the Pentagon could designate Anthropic a “supply chain risk” if the company does not lift its safeguards.
Axios stated that replacing Claude fully might be technically challenging even if xAI or other alternative AI systems take its place. That being said, other AI systems are already in use by the DoD.
Grok already operates in the Pentagon’s unclassified systems alongside Google’s Gemini and OpenAI’s ChatGPT. Google is reportedly close to an agreement that will result in Gemini being used for classified use, while OpenAI’s progress toward classified deployment is described as slower but still feasible.
The publication noted that the Pentagon continues talks with several AI companies as it prepares for potential changes in classified AI sourcing.
Elon Musk
Elon Musk denies Starlink’s price cuts are due to Amazon Kuiper
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X.
Elon Musk has pushed back on claims that Starlink’s recent price reductions are tied to Amazon’s Kuiper project.
In a post on X, Musk responded directly to a report suggesting that Starlink was cutting prices and offering free hardware to partners ahead of a planned IPO and increased competition from Kuiper.
“This has nothing to do with Kuiper, we’re just trying to make Starlink more affordable to a broader audience,” Musk wrote in a post on X. “The lower the cost, the more Starlink can be used by people who don’t have much money, especially in the developing world.”
The speculation originated from a post summarizing a report from The Information, which ran with the headline “SpaceX’s Starlink Makes Land Grab as Amazon Threat Looms.” The report stated that SpaceX is aggressively cutting prices and giving free hardware to distribution partners, which was interpreted as a reaction to Amazon’s Kuiper’s upcoming rollout and possible IPO.
In a way, Musk’s comments could be quite accurate considering Starlink’s current scale. The constellation currently has more than 9,700 satellites in operation today, making it by far the largest satellite broadband network in operation. It has also managed to grow its user base to 10 million active customers across more than 150 countries worldwide.
Amazon’s Kuiper, by comparison, has launched approximately 211 satellites to date, as per data from SatelliteMap.Space, some of which were launched by SpaceX’s Falcon 9 rocket. Starlink surpassed that number in early January 2020, during the early buildout of its first-generation network.
Lower pricing also aligns with Starlink’s broader expansion strategy. SpaceX continues to deploy satellites at a rapid pace using Falcon 9, and future launches aboard Starship are expected to significantly accelerate the constellation’s growth. A larger network improves capacity and global coverage, which can support a broader customer base.
In that context, price reductions can be viewed as a way to match expanding supply with growing demand. Musk’s companies have historically used aggressive pricing strategies to drive adoption at scale, particularly when vertical integration allows costs to decline over time.



