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Scientists use AI neural network to translate speech from brain activity
Three recently published studies focused on using artificial intelligence (AI) neural networks to generate audio output from brain signals have shown promising results, namely by producing identifiable sounds up to 80% of the time. Participants in the studies first had their brain signals measured while they were either reading aloud or listening to specific words. All the data was then given to a neural network to “learn” how to interpret brain signals after which the final sounds were reconstructed for listeners to identify. These results represent hopeful prospects for the field of brain-computer interfaces (BCIs), where thought-based communication is quickly moving from the realm of science fiction to reality.
The idea of connecting human brains to computers is far from new. In fact, several relevant milestones have been made in recent years including enabling paralyzed individuals to operate tablet computers with their brain waves. Elon Musk has also famously brought attention to the field with Neuralink, his BCI company that essentially hopes to merge human consciousness with the power of the Internet. As brain-computer interface technology expands and develops new ways to foster communication between brains and machines, studies like these, originally highlighted by Science Magazine, will continue demonstrating the steady march of progress.
In the first study conducted by researchers from Columbia University and Hofstra Northwell School of Medicine, both in New York, five epileptic participants had the brain signals from their auditory cortexes recorded as they listened to stories and numbers being read to them. The signal data was provided to a neural network for analysis which then reconstructed audio files that were accurately identified by participating listeners 75% of the time.
In the second study conducted by a team from the University of Bremen (Germany), Maastricht University (Netherlands), Northwestern University (Illinois), and Virginia Commonwealth University (Virginia), brain signal data was gathered from six patients’ speech planning and motor areas while undergoing tumor surgeries. Each patient read specific words aloud to target the data collected. After the brain data and audio data were given to their neural network for training, the program was given brain signals not included in the training set to recreate audio, the result producing words that were recognizable 40% of the time.
Finally, in a third study by a team at the University of California, San Francisco, three participants with epilepsy read text aloud while brain activity was captured from the speech and motor areas of their brains. The audio generated from their neural network’s analysis of the signal readings was presented to a group of 166 people who were asked to identify the sentences from a multiple choice test – some sentences were identified with 80% accuracy.
While the research presented in these studies shows serious progress towards connecting human brains to computers, there are still a few significant hurdles. For one, the way neuron signal patterns in the brain translate into sounds varies from person to person, so neural networks must be trained on each individual person. The best results require the best data possible, i.e., the most precise neuron signals possible, meaning this is something that can only be obtained by placing electrodes in the brain itself. The opportunities to collect data at this invasive level for research are limited, relying on voluntary participation and approval of experiments.
All three of the studies highlighted demonstrated an ability to reconstruct speech based on neural data in some significant capacity; however, also in all cases, the study participants were able to create audible sounds to use with the computer training set. In the case of patients unable to speak, the level of difficultly in interpreting the brain’s speech signals from other signals will be the biggest challenge. Also, the differences between brain signals during actual speech vs. thinking about speech will complicate matters further.
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Tesla rolls out most aggressive Model Y lease deal in the US yet
With the promotion in place, customers would be able to take home a Model Y at a very low cost.
Tesla has rolled out what could very well be its most aggressive promotion for Model Y leases in the United States yet. With the promotion in place, customers would be able to take home a Model Y at a very low cost.
Zero downpayment leases
The new Model Y lease promotion was initially reported on X, with industry watcher Sawyer Merritt stating that while the vehicles’ monthly payments are still similar to before, the cars can now be ordered with a $0 downpayment.
Tesla community members noted that this promotion would cut the full payment cost of Model Y leases by several thousand dollars, though prices were still a bit better when the $7,500 federal tax credit was still in effect. Despite this, a $0 downpayment would likely be appreciated by customers, as it lowers the entry point to the Tesla ecosystem by a notable margin.
Premium freebies included
Apart from a $0 downpayment, customers of Model Y leases are also provided one free upgrade for their vehicles. These upgrades could be premium paint, such as Pearl White Multi-Coat, Deep Blue Metallic, Diamond Black, Quicksilver or Ultra Red, or 20″ Helix 2.0 Wheels. Customers could also opt for a White Interior or a Tow Hitch free of charge.
A look at Tesla’s Model Y order page shows that the promotion is available for all the Model Y Premium Rear-Wheel Drive and the Model Y Premium All-Wheel Drive. The Model Y Standard and the Model Y Performance are not eligible for the $0 downpayment or free premium upgrade promotion as of writing.
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Tesla is looking to phase out China-made parts at US factories: report
Tesla has reportedly swapped out several China-made components already, aiming to complete the transition within the next two years.
Tesla has reportedly started directing its suppliers to eliminate China-made components from vehicles built in the United States. This would make Tesla’s US-produced vehicles even more American-made.
The update was initially reported by The Wall Street Journal.
Accelerating North American sourcing
As per the WSJ report, the shift reportedly came amidst escalating tariff uncertainties between Washington and Beijing. Citing people reportedly familiar with the matter, the publication claimed that Tesla has already swapped out several China-made components, aiming to complete the transition within the next two years. The publication also claimed that Tesla has been reducing its reliance on China-based suppliers since the pandemic disrupted supply chains.
The company has quietly increased North American sourcing over the past two years as tariff concerns have intensified. If accurate, Tesla would likely end up with vehicles that are even more locally sourced than they are today. It would remain to be seen, however, if a change in suppliers for its US-made vehicles would result in price adjustments for cars like the Model 3 and Model Y.
Industry-wide reassessments
Tesla is not alone in reevaluating its dependence on China. Auto executives across the automotive industry have been in rapid-response mode amid shifting trade policies, chip supply anxiety, and concerns over rare-earth materials. Fluctuating tariffs between the United States and China during President Donald Trump’s current term have made pricing strategies quite unpredictable as well, as noted in a Reuters report.
General Motors this week issued a similar directive to thousands of suppliers, instructing them to remove China-origin components from their supply chains. The same is true for Stellantis, which also announced earlier this year that it was implementing several strategies to avoid tariffs that were placed by the Trump administration.
@teslarati 🚨 Tesla Full Self-Driving v14.1.7 is here and here’s some things it did extremely well! #tesla #teslafsd #fullselfdriving ♬ You Have It – Marscott
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Tesla owners propose interesting theory about Apple CarPlay and EV tax credit
“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.
Tesla is reportedly bracing for the integration of Apple’s well-known iOS automotive platform, CarPlay, into its vehicles after the company had avoided it for years.
However, now that it’s here, owners are more than clear that they do not want it, and they have their theories about why it’s on its way. Some believe it might have to do with the EV tax credit, or rather, the loss of it.
Owners are more interested in why Tesla is doing this now, especially considering that so many have been outspoken about the fact that they would not use it in favor of the company’s user interface (UI), which is extremely well done.
After Bloomberg reported that Tesla was working on Apple CarPlay integration, the reactions immediately started pouring in. From my perspective, having used both Apple CarPlay in two previous vehicles and going to Tesla’s in-house UI in my Model Y, both platforms definitely have their advantages.
However, Tesla’s UI just works with its vehicles, as it is intuitive and well-engineered for its cars specifically. Apple CarPlay was always good, but it was buggy at times, which could be attributed to the vehicle and not the software, and not as user-friendly, but that is subjective.
Nevertheless, upon the release of Bloomberg’s report, people immediately challenged the need for it:
Everyone thinks they need it. I would think that too if I didn’t know how good Tesla’s interface was. CarPlay is a crappy layer on top of crappy info-navs, and people think it’s an imperative because it provides a level of consistency from car to car. They have no clue how much…
— Rich Stafford (@r26174_rich) November 14, 2025
How can it not be when the best engineers choose Tesla over Apple and Tesla’s core focus is auto vs Apple being mobile. It’s what Tesla does every day. It’s a side project for Apple. Still Apple is much better than any other auto OEM who attract lesser talent and make digital…
— Emu (@confessedemu) November 14, 2025
Some fans proposed an interesting point: What if Tesla is using CarPlay as a counter to losing the $7,500 EV tax credit? Perhaps it is an interesting way to attract customers who have not owned a Tesla before but are more interested in having a vehicle equipped with CarPlay?
“100%. It’s needed for sales because for many prospective buyers, CarPlay is a nonnegotiable must-have. If they knew how good the Tesla UI is, they wouldn’t think they need CarPlay,” one owner said.
Tesla has made a handful of moves to attract people to its cars after losing the tax credit. This could be a small but potentially mighty strategy that will pull some carbuyers to Tesla, especially now that the Apple CarPlay box is checked.
@teslarati :rotating_light: This is why you need to use off-peak rates at Tesla Superchargers! #tesla #evcharging #fyp ♬ Blue Moon – Muspace Lofi
Tesla rolls out most aggressive Model Y lease deal in the US yet
Tesla is looking to phase out China-made parts at US factories: report
Tesla owners propose interesting theory about Apple CarPlay and EV tax credit
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