Photosynthesis is one of the most important chemical processes on Earth. (Image credit: Shutterstock)
One of the most well-studied chemical processes in nature, photosynthesis, may not work quite how we thought it did, scientists have accidentally discovered.
Photosynthesis is the process by which plants, algae and some bacteria convert carbon dioxide and water into oxygen and sugars to use as energy. To do this, the organisms use sunlight to oxidize, or take electrons from, water; and reduce, or give electrons to, carbon dioxide molecules. These chemical reactions require photosystems — protein complexes that contain chlorophyll, a pigment that absorbs light and gives plant leaves and algae their green color — to transfer electrons between different molecules.
In the new study, published March 22 in the journal Nature (opens in new tab) , researchers used a new technique, known as ultrafast transient absorption spectroscopy, to study how photosynthesis works at a timescale of one quadrillionth of a second (0.000000000000001 second) for the first time. The team was initially trying to figure out how quinones — ring-shaped molecules that can steal electrons during chemical processes — impact photosynthesis. But instead, the researchers found that electrons could be released from photosystems much earlier during photosynthesis than scientists previously believed was possible.
“We thought we were just using a new technique to confirm what we already knew,” study co-author Jenny Zhang (opens in new tab) , a biochemist specializing in photosynthesis at the University of Cambridge in England, said in a statement (opens in new tab) . “Instead, we found a whole new pathway, and opened the black box of photosynthesis a bit further.”
Related: New ‘artificial’ photosynthesis is 10x more efficient than previous attempts
Photosynthetic algae viewed under the microscope. Their green color is the result of the pigment chlorophyll found inside photosystems. (Image credit: Shutterstock)
Two photosystems are used during photosynthesis: photosystem I (PSI) and photosystem II (PSII). PSII primarily provide electrons to PSI by taking them from water molecules: PSI then further excites the electrons before releasing them to eventually be given to carbon dioxide to create sugars, via a series of complex steps.
Past research had suggested that the protein scaffolding in PSI and PSII was very thick, which helped to contain electrons within them before being passed on to where they were needed. But the new ultrafast spectroscopy technique revealed that the protein scaffolding was more “leaky” than expected and that some electrons could escape from the photosystems almost immediately after light was absorbed by the chlorophyll within the photosystems. These electrons could therefore reach their destinations faster than expected.
“The new electron transfer pathway we found here is completely surprising,” Zhang said. “We didn’t know as much about photosynthesis as we thought we did.”
The electron leaking was observed in both isolated photosystems and within “living” photosystems inside cyanobacteria.RELATED STORIES—Plant leaves spark with electricity during thunderstorms — and that could be altering our air quality in unpredictable ways
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In addition to rewriting what we know about photosynthesis, the discovery opens up new avenues for future research and biotechnology applications. The team believes that by “hacking” photosynthesis to release more of these electrons at earlier stages, the process could become much more efficient, which could help produce plants that are more resistant to sunlight or be replicated artificially to create renewable energy sources to help combat climate change, according to the statement. However, much more research is needed before this can happen.
“Many scientists have tried to extract electrons from an earlier point in photosynthesis, but said it wasn’t possible because the energy is so buried in the protein scaffold,” Zhang said. “The fact that we can [potentially] steal them at an earlier process is mind-blowing.”
Alibaba announced plans to release a pair of smart glasses powered by its AI models. The Quark AI Glasses are Alibaba’s first foray into the smart glasses product category.
Alibaba
Alibaba on Monday unveiled a pair of smart glasses powered by its artificial intelligence models, marking the Chinese firm’s first foray into the product category.
The e-commerce giant said the Quark AI Glasses will be launched in China by the end of 2025 with hardware powered by the firm’s Qwen large language model and its advanced AI assistant called Quark.
The Hangzhou, headquartered company is one of the leaders in China’s AI space, aggressively launching new models with capabilities that compete with Western counterparts like OpenAI.
Many tech companies see wearables, specifically glasses, as the next frontier in computing alongside the smartphone. Quark, which was updated this year, is currently available as an app in China. Alibaba is stepping into the hardware game as a way to distribute the app more widely.
The Quark AI Glasses are Alibaba’s answer to Meta’s smart glasses that were designed in collaboration with Ray-Ban. The Chinese tech giant will also now compete with Chinese consumer electronics player Xiaomi who this year released its own AI glasses.
Alibaba said its glasses will support hands-free calling, music streaming, real-time language translation, and meeting transcription. The glasses also feature a built-in camera.
Alibaba owns a range of different services in China from mapping to an online travel agent. Its affiliate company Ant Group also runs the widely-used Alipay mobile service. Alibaba said users will be able to use a navigation service via the glasses, pay with Alipay and compare prices on Taobao, its China e-commerce platform.
The firm has yet to release other details such as the price and technical specifications.
Tesla will use Samsung for as a supplier for its self-driving computer’s next-gen hardware in a $16.5 billion deal, according to Tesla CEO Elon Musk.
But despite planning two generations ahead, the company still doesn’t have a solution to bring the promised full autonomy to hardware that it’s been promising that capability to since 2016.
Earlier today, Samsung announced a 22.8 trillion won ($16.5 billion) deal that would run through 2033. In that filing, Samsung did not name the customer, only that it is a “large global company”. Later, Bloomberg reported that the customer is Tesla, and Musk confirmed this on twitter. Then in his usual bravado, he stated that the deal is “likely much more than that.”
Samsung makes the chips for the self-driving computers in Tesla’s current vehicles, but the next generation will be made by TSMC, first in Taiwan and then later in Arizona. Then the next-next generation will be covered by this new Samsung deal.
The new deal is significant due to TSMC’s global dominance of chipmaking. Samsung has had significant unused capacity, so the Tesla deal is a big boost for the company’s chip foundry business.
Tesla has gone through several generations of chips, previous referred to as “HW,” standing for “hardware,” with a number indicating their generation. More recently, Tesla started referring to its chips with “AI” instead of “HW,” in order to incorporate the tech buzzword du jour.
Currently Tesla is on HW4/AI4, and TSMC will make HW5, then Samsung will make HW6 again.
These generations of hardware each get successively more capable, and can handle more data and thus theoretically become better at self-driving tasks.
Current Tesla HW4 vehicles cannot drive themselves, and are only capable of SAE level 2 operation, which requires an attentive driver behind the steering wheel (though Tesla’s solution does work better than most others). Tesla’s ‘Robotaxi’ system is currently operating in Austin without anyone in the driver’s seat, but has a “safety rider” who can take control of the vehicle, blurring the line somewhat on which SAE level it is operating at.
But what about HW3?
There’s a problem with the differentiation between these generations of hardware: ever since 2016, when Tesla was on version 2 of its hardware, it has promised full self-driving capability on all of its vehicles.
Tesla stated, at the time, that every single Tesla vehicle produced after that date had the hardware that would allow for full self-driving.
It eventually became apparent that HW2 would not be capable of full self-driving tasks, and Tesla upgraded to HW3, promising all HW2 customers that they would get a free upgrade to HW3 if they bought Tesla’s Full Self-Driving system, which has varied in price over time but once cost $15,000.
Now, with the change from HW3 to HW4, we’re seeing indications of a similar run-around.
We’ve already seen differing FSD software versions based on which hardware level vehicles have, with HW3 vehicles getting updates later than HW4 vehicles do. On last week’s Q2 earnings call, Tesla CFO Vaibhav Taneja said:
What we want to do is get unsupervised done on hardware four first. Once it’s done, then we’ll go back and look at what we need to do with the hardware three cars. Like I said, the focus is first to get unsupervised out and then we’ll go back and see what more work we need to do.
“Unsupervised” is Tesla’s new name for actual full self-driving, which would allow a vehicle to drive without the supervision of someone in the driver’s seat. This as opposed to “supervised FSD,” a phrase Tesla started using after about a decade of promising full self-driving without delivering it.
Here, Taneja said that HW3 cars will eventually get FSD, but Tesla hasn’t really figured out the path to that, and it’s focusing on new cars first, then will go back around to see what needs to happen.
Previously, Musk had stated that Tesla “will have to upgrade people’s hardware 3 computer,” but more recently it has become apparent that Tesla really doesn’t have a plan for that upgrade. And Taneja’s comments suggest that Tesla will still try to wedge FSD onto HW3, despite previously admitting that the system is not capable of it.
The existence of future HW5 and even HW6 chips also suggest that current systems are not capable of full self-driving. If HW4 is FSD-capable, then why would Tesla need two more generations of chip in the next two years in order to do the tasks that it promised all of its cars could do a full decade prior?
So, much more than having no solution for HW3 cars (or even HW2 cars, some of which have gotten free upgrades, but others who have been charged $1,000 to upgrade to a computer they already paid for), does this mean that Tesla is going to kick the can further down the road, and eventually have no solution for HW4 and HW5 either?
And, when will we know about these solutions? Tesla has sold millions of vehicles with the promise of self-driving which will seemingly need an upgrade at some point. And many of those vehicles are old enough, at this point, to be retired, despite spending up to $15,000 on a piece of software that has never been delivered to them.
An HW6/AI6 computer will surely have all sorts of new whizbang capabilities, but we were promised those capabilities years ago, and they’re still not delivered yet.
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A group of Senate Democrats has probed Federal Housing Finance Agency director William Pulte over his order to propose how to consider crypto in mortgage applications.