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Researchers find graphene can strengthen the brain’s neural signals
A recent study from a group of researchers at the International School for Advanced Studies (SISSA) in Italy and the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Spain have demonstrated how graphene could be combined with neurological tissue, allowing the material to become a valuable tool for medicine and other biological processes.
In a statement to the IEEE Spectrum, Laura Ballerini, a researcher in neurons and nanomaterials at SISSA, stated that the results of the recent study demonstrate that graphene might tune neuronal activities by altering ion mobility at the cell interface depending on the how the single-layer graphene is engineered. According to the researcher, graphene-based nanomaterials have come to represent potential tools in neurology and neurosurgery.
“These materials are increasingly engineered as components of a variety of applications such as biosensors, interfaces, or drug-delivery platforms. In particular, in neural electrode or interfaces, a precise requirement is the stable device/neuronal electrical coupling, which requires governing the interactions between the electrode surface and the cell membrane,” she said.
Graphene has been dubbed as a supermaterial, thanks to its unique set of properties. Graphene, described in simplest terms, is a thin layer of graphite, the same material used in pencil lead. What is particularly remarkable with graphene is that it takes some near-miraculous properties when it is isolated from graphite. At one atom thick, graphene stands as the world’s first two-dimensional material ever discovered. It also boasts a tensile strength of 130 gigapascals, making it ~100 times stronger than steel. Apart from being thin and durable, graphene is also flexible, transparent, seemingly impermeable to most gases and liquids, and most of all, highly conductive.
These properties have allowed graphene to be viewed as a potential game-changer in several fields, including electronics, solar cells, semiconductors, and of course, biomedical technology. Just last year, researchers from the Graphene Flagship developed graphene-based field-effect transistors which have the capability to record brain activity in high resolution while maintaining an optimal level of signal-to-noise ratio (SNR).
Graphene is characterized by its hexagonal atomic structure.
Ballerini noted that thanks to graphene’s electrical properties, transparency, and flexibility, the material has become the ideal material candidate for several ongoing researches. Among these studies, the primary goal has been to analyze and investigate how graphene can tune neuronal excitability, as well as to demonstrate that the material can selectively modify membrane-associated neuronal functions. Ballerini and her team’s latest research, for one, operated under the hypothesis that there would be specific interactions between graphene and potassium ions in the extracellular solution which would regulate cell excitability.
“Graphene properties might (thus) affect neuronal information processing through the physical interactions of such a nanomaterial with the biological environment. Nanomaterials might then represent, in general, unconventional tools to gain insights into genuine biological processes,” Ballerini’s team stated in their conclusion to the recent study.
Ballerini and her team’s research could be accessed here.
The applications of graphene are wide, from practical solutions such as water filtration systems and faster internet speeds to measuring brain activity. The material, if any, seems to be tailor-fit for Elon Musk’s neurotechnology startup, Neuralink, which aims to create brain-computer interface systems. Considering that the startup is aimed at developing neural lace technologies, advances in graphene, showcased in these recent studies, could very well help make Musk’s vision of “wizard hats for the brain” a reality.
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Tesla extends FSD Supervised ride-alongs in Europe by three months
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Tesla appears to be doubling down on its European Full Self-Driving (Supervised) push, with the company extending its demo ride-along program by three months until the end of March 2026. The update seems to have been implemented due to overwhelming demand.
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Extended FSD demonstrations
Tesla EU Policy and Business Development Manager Ivan Komušanac shared on LinkedIn that the company is offering ride-along experiences in Germany, France and Italy while working toward FSD (Supervised) approval in Europe.
He noted that this provides a great feedback opportunity from the general public, encouraging participants to record and share their experiences. For those unable to book in December, Komušanac teased more slots as “Christmas presents.”
Tesla watcher Sawyer Merritt highlighted the extension on X, stating that dates now run from December 1, 2025, to March 31, 2026, in multiple cities including Stuttgart-Weinstadt, Frankfurt and Düsseldorf in Germany. This suggests that the FSD ride-along program in Europe has officially been extended until the end of the first quarter of 2026.
Building momentum for European approval
Replies to Merritt’s posts buzzed with excitement, with users like @AuzyMale noting that Cologne and Düsseldorf are already fully booked. This sentiment was echoed by numerous other Tesla enthusiasts on social media. Calls for the program’s expansion to other European territories have also started gaining steam, with some X users suggesting Switzerland and Finland as the next locations for FSD ride-alongs.
Ultimately, the Tesla EU Policy and Business Development Manager’s post aligns with the company’s broader FSD efforts in Europe. As per recent reports, Tesla recently demonstrated FSD’s capabilities for Rome officials. Reporters from media outlets in France and Germany have also published positive reviews of FSD’s capabilities on real-world roads.
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Tesla’s six-seat extended wheelbase Model Y L sold out for January 2026
Estimated delivery dates for new Tesla Model Y L orders now extend all the way into February 2026.
The Tesla Model Y L seems to be in high demand in China, with estimated delivery dates for new orders now extending all the way into February 2026.
This suggests that the Model Y L has been officially sold out from the rest of 2025 to January 2026.
Model Y L estimated delivery dates
The Model Y L’s updated delivery dates mark an extension from the vehicle’s previous 4-8 week estimated wait time. A detailed chart shared by Tesla data tracker @Tslachan on X shows the progressions of the Model Y L’s estimated delivery dates since its launch earlier this year.
Following its launch in September, the vehicle was given an initial October 2025 estimated delivery date. The wait times for the vehicle were continually updated over the years, until the middle of November, when the Model Y L had an estimated delivery date of 4-8 weeks. This remained until now, when Tesla China simply listed February 2026 as the estimated delivery date for new Model Y L orders.
Model Y demand in China
Tesla Model Y demand in China seems to be very healthy, even beyond the Model Y L. New delivery dates show the company has already sold out its allocation of the all-electric crossover for 2025. The Model Y has been the most popular vehicle in the world in both of the last two years, outpacing incredibly popular vehicles like the Toyota RAV4. In China, the EV market is substantially more saturated, with more competitors than in any other market.
Tesla has been particularly kind to the Chinese market, as it has launched trim levels for the Model Y in the country that are not available anywhere else, such as the Model Y L. Demand has been strong for the Model Y in China, with the vehicle ranking among the country’s top 5 New Energy Vehicles. Interestingly enough, vehicles that beat the Model Y in volume like the BYD Seagull are notably more affordable. Compared to vehicles that are comparably priced, the Model Y remains a strong seller in China.
Elon Musk
NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief
“And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.”
NVIDIA CEO Jensen Huang appeared on the Joe Rogan Experience podcast on Wednesday and commended Tesla CEO Elon Musk for his early belief in what is now the most valuable company in the world.
Huang and Musk are widely regarded as two of the greatest tech entrepreneurs of the modern era, with the two working in conjunction as NVIDIA’s chips are present in Tesla vehicles, particularly utilized for self-driving technology and data collection.
Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI
Both CEOs defied all odds and created companies from virtually nothing. Musk joined Tesla in the early 2000s before the company had even established any plans to build a vehicle. Jensen created NVIDIA in the booth of a Denny’s restaurant, which has been memorialized with a plaque.
On the JRE episode, Rogan asked about Jensen’s relationship with Elon, to which the NVIDIA CEO said that Musk was there when nobody else was:
“I was lucky because I had known Elon Musk, and I helped him build the first computer for Model 3, the Model S, and when he wanted to start working on an autonomous vehicle. I helped him build the computer that went into the Model S AV system, his full self-driving system. We were basically the FSD computer version 1, and so we were already working together.
And when I announced DGX-1, nobody in the world wanted it. I had no purchase orders, not one. Nobody wanted to buy it. Nobody wanted to be part of it, except for Elon.
He goes ‘You know what, I have a company that could really use this.’ I said, Wow, my first customer. And he goes, it’s an AI company, and it’s a nonprofit and and we could really use one of these supercomputers. I boxed one up, I drove it up to San Francisco, and I delivered it to the Elon in 2016.”
The first DGX-1 AI supercomputer was delivered personally to Musk when he was with OpenAI, which provided crucial early compute power for AI research, accelerating breakthroughs in machine learning that underpin modern tools like ChatGPT.
Tesla’s Nvidia purchases could reach $4 billion this year: Musk
The long-term alliance between NVIDIA and Tesla has driven over $2 trillion in the company’s market value since 2016.
Tesla extends FSD Supervised ride-alongs in Europe by three months
Tesla’s six-seat extended wheelbase Model Y L sold out for January 2026
