Neuralink Connects Grok to the Brain: ALS Patient Controls AI and Makes a Phone Call With His Thoughts

Musk's brain-computer interface just got its most radical upgrade! Grok plugged into the brain, thoughts can now control AI

Xinzhiyuan, October 30, 2026, 12:59:37, from Beijing, Updated October 30, 2026, 13:24:04

The scenes from sci-fi films like The Matrix and Transcendence are being brought into reality bit by bit by Musk.

Today, Neuralink unveiled its latest progress, and it is genuinely a bit stunning—

This time, Musk directly plugged SpaceXAI's Grok straight into the human brain!

All a patient has to do is silently say "Hey Neuralink" in their mind, then think about the task they want done, and the Grok Agent on the computer is instantly awakened.

Next, Grok takes over the screen fully automatically and goes straight onto YouTube.

And the most touching moment of all was a very special phone call.

The chip in the brain of a severely paralyzed, speech-impaired patient directly converted the "words he wanted to say" into a pure audio stream, injected in real time into the low-level microphone call layer of an iPhone.

After seven years, he finally used his thoughts to call his wife.

Humanity has taken another extremely wild step toward true "mechanical ascension."

A 72-hour legend in the making

The most radical upgrade to the "brain-computer interface"

All of this was made possible by a "hard battle" the Neuralink team fought a few days ago.

Several core engineers packed their bags and moved into the subject's home, eating and living together, for a full 72-hour extreme lockdown development sprint.

For three days and three nights straight, they chewed through work that normally takes several weeks in just a few hours, cranking out 8 brand-new features in one go.

In the past, our understanding of brain-computer interfaces was still stuck at "using thoughts to move the mouse cursor."

After these 72 hours, the brain has officially become a native input source for AI.

The patient's name is Kenneth. He was diagnosed with ALS seven years ago and is Neuralink P21 subject.

Throughout it all, he has been remarkably optimistic, just as he often says: "ALS sucks, but my life doesn't."

Say it in your head, and Grok takes over

The most sci-fi feature this time is, of course, Grok.

A brain-computer patient only needs to imagine saying "Hey Neuralink" in their head, plus the task they want completed, to trigger a Grok agent that autonomously executes it on the computer.

No hands on the keyboard, no need to actually speak aloud—the command is issued from neural activity itself.

Break this chain down and it becomes easy to understand: the brain-computer interface is responsible for turning expressed intent into usable input, and the Grok agent catches the task and then operates the computer.

The so-called "connection" is essentially a complete reconstruction of the dimension of interaction:

Thought-controlled cursor: the brain outputs low-level actions like "a little to the left, click once," and completing a task takes dozens or hundreds of steps, with the person having to watch the whole time;

Thought-driven Agent: the brain outputs only a single sentence of "intent," and breaking down the steps and operating the interface are all handed to AI. Autoplay

The biggest bottleneck of brain-computer interfaces has always been bandwidth: both the number of electrodes and decoding speed have physical limits.

The value of an Agent is that it "amplifies" one sentence into a whole series of operations—without adding a single electrode, it multiplies what each thought can accomplish.

As Neuralink itself said, this is only an early exploration, but it has solidly proven that:

as long as communication between the brain and the computer becomes smoother, the gap between "thinking of it" and "doing it" can be erased.

Breaking down the eight core technologies

The 8 technical prototypes born during these 72 hours run from low-level signal capture all the way through system-level interaction, ultimately connecting to the top-layer AI large model.

Neural Voice Activity Detection (VAD): completely throwing away the physical switch

Before this hackathon, if Kenneth wanted to speak through thought, he still faced a rather awkward paradox—you first had to manually press a button to tell the software "I'm about to start thinking," and after speaking you had to press again to stop recording.

For patients with ALS or high-level paraplegia, pressing this button is itself a huge burden.

So the engineers rewrote a "Neural Voice Activity Detection (Neural VAD)" system directly from the ground up.

This algorithm is like a neural sentry on duty 24 hours a day, monitoring in real time the stream of brain signals sent back by the implant.

It can extremely keenly distinguish whether the brain at this moment is in a resting state of "zoning out and doing nothing" or has already engaged the motor cortex and is "getting ready to speak."

Once the intent pulse to speak is captured, the app automatically starts decoding within milliseconds; the moment the words end, the system automatically goes dormant.

Zero buttons and zero hand movement throughout, truly achieving pure thought-based "speak as soon as you open your mouth."

Real-time neural signal visualization: patient and model "train together"

The brain-computer interface field has always had a headache-inducing black-box problem: even the subject themselves does not know exactly "how to think" in their head to trigger the strongest, clearest neuron firing.

You see, the higher the signal-to-noise ratio of the input signal, the more incredible the accuracy of the backend machine-learning decoder.

The team turned the signal strength and spatial distribution detected by the implant into real-time visual feedback for Kenneth. He could "pronounce in his head" in all sorts of different ways and immediately see which method engaged the most neural activity.

In neuroscience, this is closed-loop neurofeedback: not only is the model adapting to the brain, but the brain is also adapting back to the model.

What was once an invisible, intangible tuning process has become a "level-clearing game" with instant feedback.

Ordering coffee with a phone, without using hands at all

Over the past few months, Neuralink has been quietly polishing a dedicated app called Bloom internally, with only one goal: to fit a massive speech brain-computer decoding system into a phone.

Taking advantage of this hackathon, the engineers simply pushed Kenneth out the door, brought Bloom along, and headed straight for noisy public places.

In a real café, for the first time Kenneth did not rely on someone else to relay his words; instead, through Bloom on his phone, he ordered himself a cup of coffee with his thoughts.

And this was only the beginning.

For ALS patients, Apple's built-in software keyboard and Siri voice dictation are almost unusable. So the team directly called iOS low-level interfaces and hand-built a system-level brain-computer input method: BCI Keyboard Dictation.

As soon as the keyboard is brought up, the words Kenneth wants to say in his mind go through neural decoding and flow like water into any app on the iPhone.

Writing memos, replying to messages, browsing social networks—no need to switch back and forth between different modes at all; point and hit.

Of course, decoding inevitably makes mistakes.

To this end, during the hackathon the engineers iterated through several versions of the correction interface, and ultimately embedded a predictive correction workflow directly into the keyboard: once a recognition deviation occurs, several high-probability candidate words immediately pop up above the keyboard, and with a glance of his thoughts, Kenneth can complete a "light-speed replacement" in any app.

There is another detail that lowers the threshold for starting everyday communication to almost zero.

The engineers cleverly borrowed iPhone's Live Activities and Dynamic Island mechanisms to keep Bloom resident on the lock screen.

Kenneth does not need to unlock the phone; as soon as the screen lights up, he can see the current brain-computer connection status; with a flicker of thought, he can directly "speak" while the phone is locked, truly achieving "instant replies."

He was paralyzed for seven years

and finally made a phone call with his thoughts

Among all the features, "making a phone call with thoughts" was not the highest in technical difficulty, yet it became the tearjerker of the whole event.

Technically, the team connected Bloom with iPhone calls, allowing the speech generated by the brain-computer interface to feed directly into the call's microphone audio stream.

But the weight of this matter lies not in the technology, but in the story.

Kenneth and his wife's love began over the phone. When the two first met, their feelings were slowly built through one phone call after another. That telephone line was once the most important thread between them.

Later, illness made it difficult for him to speak. That thread, too, gradually fell silent.

This time, as soon as the engineers finished building the call feature, he picked up the phone and called his wife.

She answered. He did not open his mouth. The words he wanted to say in his mind were captured by the implant, translated by the decoder, synthesized into speech, and sent directly into the call line.

On the other end of the receiver came his wife's laughter.

The two began to tease and bicker with each other, just as they had when they were dating over the phone back then.

The engineers just stood by and watched. Neuralink later said this was one of the most unforgettable moments of the entire week.

In engineering, few things are more fulfilling than this. You watch a person use code you wrote that very morning to talk to the person they love.

In the past, the brain's bandwidth was too narrow, and people could only "squeeze toothpaste" to machines one letter and one click at a time.

This will become a major leap in human-computer interaction.

In the future, as electrodes become more numerous, decoding becomes faster, and agents become smarter, "thinking it means doing it" may move from the lab into more people's daily lives.

In "The Matrix," Neo plugs into a line and learns kung fu in seconds; in "Transcendence," human consciousness connects to the network and can directly mobilize the entire digital world.

These imaginings that once belonged only to the screen are being written into reality bit by bit.