Life
How Did Meta’s AI Achieve 80% Mind-Reading Accuracy?
Meta’s AI mind-reading technology has achieved up to 80% accuracy, signalling a possible future of non-invasive brain-computer interfaces.
Published
2 months agoon
By
AIinAsia
TL;DR – What You Need to Know in 30 Seconds
- Meta’s AI—Developed with the Basque Center on Cognition, Brain, and Language—can reconstruct sentences from brain activity with up to 80% accuracy.
- Non-Invasive Approach—Uses MEG and EEG instead of implants. MEG is more accurate but less portable.
- Potential Applications—Could help those who’ve lost the ability to speak and aid in understanding how the brain translates ideas into language.
- Future & Concerns—Ethical, technical, and privacy hurdles remain. But the success so far hints at a new era of brain-computer interfaces.
Meta’s AI Mind-Reading Reaches New Heights
Let’s talk about an astonishing leap in artificial intelligence that almost sounds like it belongs in a sci-fi flick: Meta, in partnership with the Basque Center on Cognition, Brain, and Language, has developed an AI model capable of reconstructing sentences from brain activity “with an accuracy of up to 80%” [Meta, 2023]. If you’ve ever wondered what’s going on in someone’s head—well, we’re getting closer to answering that quite literally.
In this rundown, we’re going to explore what Meta’s latest research is all about, why it matters, and what it could mean for everything from our daily lives to how we might help people with speech loss. We’ll also talk about the science—like MEG and EEG—and the hurdles still standing between this mind-reading marvel and real-world application. Let’s settle in for a deep dive into the brave new world of AI-driven mind-reading.
A Quick Glance at the Techy Bits
At its core, Meta’s AI is designed to interpret the squiggles and spikes of brain activity, converting them into coherent text. The process works by using non-invasive methods—specifically magnetoencephalography (MEG) and electroencephalography (EEG). Both are fancy ways of saying that researchers can measure electrical and magnetic brain signals “without requiring surgical procedures” [Meta, 2023]. This is a big deal because most brain-computer interfaces (BCIs) that we hear about typically involve implanting something into the brain, which is neither comfortable nor risk-free.
By harnessing these signals, the model can “read” what participants are typing in real-time with staggering accuracy. Meta and its research partners taught this AI using “brain recordings from 35 participants” [Meta, 2023]. These volunteers typed sentences, all the while having their brain activity meticulously recorded. Then, the AI tried to predict what they were typing—an impressive mental magic trick if ever there was one.
So, It’s Like Telepathy… Right?
Well, not exactly—but it’s getting there. The system can currently decode up to “80% of the characters typed” [Meta, 2023]. That’s more than just a party trick; it points to a future where people could potentially type or speak just by thinking about it. Imagine the possibilities for individuals with medical conditions that affect speech or motor skills: they might be able to communicate through a device that simply detects their brain signals. It sounds like something straight out of The Matrix, but this is real research happening right now.
However, before we get carried away, it’s crucial to note the caveats. For starters, MEG is pretty finicky: it needs a “magnetically shielded environment” [Meta, 2023] and you’re required to stay really still so the equipment can pick up your brain’s delicate signals. That’s not practical if you’re itching to walk around while reading and responding to your WhatsApp messages with your mind. EEG is more portable, but the accuracy drops significantly—hence, it’s not quite as flashy in the results department.
Why It’s More Than Just Gimmicks
The potential applications of this technology are huge. Meta claims this might one day “assist individuals who have lost their ability to speak” [Meta, 2023]. Conditions like amyotrophic lateral sclerosis (ALS) or severe stroke can rob people of speech capabilities, leaving them dependent on cumbersome or limited communication devices. A non-invasive BCI with the power to read your thoughts and turn them into text—or even synthesised speech—could be genuinely life-changing.
But there’s more. The technology also gives scientists a golden window into how the brain transforms an idea into language. The AI model tracks brain activity at millisecond resolution, revealing how “abstract thoughts morph into words, syllables, and the precise finger movements required for typing”. By studying these transitions, we gain valuable insights into our cognitive processes—insights that could help shape therapies, educational tools, and new forms of human-computer interaction.
The Marvel of a Dynamic Neural Code
One of the showstoppers here is the ‘dynamic neural code’. It’s a fancy term, but it basically means the brain is constantly in flux, updating and reusing bits of information as we string words together to form sentences. Think of it like this: you start with a vague idea—maybe “I’d love a coffee”—and your brain seamlessly translates that into syllables and sounds before your mouth or fingers do the work. Or, in the case of typing, your brain is choreographing the movements of your fingers on the keyboard in real time.
Researchers discovered this dynamic code, noticing that the brain keeps a sort of backstage pass to all your recent thoughts, linking “various stages of language evolution while preserving access to prior information” [Meta, 2023]. It’s the neuroscience equivalent of a friend who never forgets the thread of conversation while you’re busy rummaging through your bag for car keys.
Getting the Tech Out of the Lab
Of course, there’s a big difference between lab conditions and the real world. MEG machines are expensive, bulky, and require a carefully controlled setting. You can’t just whip them out in your living room. The team only tested “healthy subjects”, so whether this approach will work for individuals with brain injuries or degenerative conditions remains to be seen.
That said, technology has a habit of shrinking and simplifying over time. Computers once took up entire rooms; now they fit in our pockets. So, it’s not entirely far-fetched to imagine smaller, more user-friendly versions of MEG or similar non-invasive devices in the future. As research continues and more funds are poured into developing these systems, we could see a new era of BCIs that require nothing more than a comfortable headset.
The Balancing Act of Morals for Meta’s AI Mind-Reading Future
With great power comes great responsibility, and mind-reading AI is no exception. While this technology promises a world of good—like helping those who’ve lost their ability to speak—there’s also the worry that it could be misused. Privacy concerns loom large. If a device can read your mind, who’s to say it won’t pick up on your private thoughts you’d rather keep to yourself?
Meta has hinted at the need for strong guidelines, both for the ethical use of this tech and for data protection. After all, brain activity is personal data—perhaps the most personal of all. Before mind-reading headsets become mainstream, we can expect a lot of debate over consent, data ownership, and the potential psychological impact of having your thoughts scrutinised by AI.
Meta’s AI Mind-Reading: Looking Ahead
Despite the challenges and ethical conundrums, Meta’s AI mind-reading project heralds a new wave of possibilities in how we interact with computers—and how computers understand us. The technology is still in its infancy, but the 80% accuracy figure is a milestone that can’t be ignored.
As we dream about a future filled with frictionless communication between our brains and machines, we also have to grapple with questions about who controls this data and how to ensure it’s used responsibly. If we handle this right, we might be on the cusp of an era that empowers people with disabilities, unravels the mysteries of cognition, and streamlines our everyday tasks.
And who knows? Maybe one day we’ll be browsing social media or firing off emails purely by thinking, “Send message.” Scary or thrilling? Maybe a bit of both.
So, the big question: Are we ready for an AI that can peer into our minds, or is this stepping into Black Mirror territory? Let us know in the comments below. And don’t forget to subscribe to our newsletter outlining the latest AI happenings, especially in Asia.
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- Or try out Meta AI for free by tapping here.
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Life
Which ChatGPT Model Should You Choose?
Confused about the ChatGPT model options? This guide clarifies how to choose the right model for your tasks.
Published
43 minutes agoon
May 9, 2025By
AIinAsia
TL;DR — What You Need to Know:
- GPT-4o is ideal for summarising, brainstorming, and real-time data analysis, with multimodal capabilities.
- GPT-4.5 is the go-to for creativity, emotional intelligence, and communication-based tasks.
- o4-mini is designed for speed and technical queries, while o4-mini-high excels at detailed tasks like advanced coding and scientific explanations.
Navigating the Maze of ChatGPT Models
OpenAI’s ChatGPT has come a long way, but its multitude of models has left many users scratching their heads. If you’re still confused about which version of ChatGPT to use for what task, you’re not alone! Luckily, OpenAI has stepped in with a handy guide that outlines when to choose one model over another. Whether you’re an enterprise user or just getting started, this breakdown will help you make sense of the options at your fingertips.
So, Which ChatGPT Model Makes Sense For You?
Currently, ChatGPT offers five models, each suited to different tasks. They are:
- GPT-4o – the “omni model”
- GPT-4.5 – the creative powerhouse
- o4-mini – the speedster for technical tasks
- o4-mini-high – the heavy lifter for detailed work
- o3 – the analytical thinker for complex, multi-step problems
Which model should you use?
Here’s what OpenAI has to say:
- GPT-4o: If you’re looking for a reliable all-rounder, this is your best bet. It’s perfect for tasks like summarising long texts, brainstorming emails, or generating content on the fly. With its multimodal features, it supports text, images, audio, and even advanced data analysis.
- GPT-4.5: If creativity is your priority, then GPT-4.5 is your go-to. This version shines with emotional intelligence and excels in communication-based tasks. Whether you’re crafting engaging narratives or brainstorming innovative ideas, GPT-4.5 brings a more human-like touch.
- o4-mini: For those in need of speed and precision, o4-mini is the way to go. It handles technical queries like STEM problems and programming tasks swiftly, making it a strong contender for quick problem-solving.
- o4-mini-high: If you’re dealing with intricate, detailed tasks like advanced coding or complex mathematical equations, o4-mini-high delivers the extra horsepower you need. It’s designed for accuracy and higher-level technical work.
- o3: When the task requires multi-step reasoning or strategic planning, o3 is the model you want. It’s designed for deep analysis, complex coding, and problem-solving across multiple stages.
Which one should you pick?
For $20/month with ChatGPT Plus, you’ll have access to all these models and can easily switch between them depending on your task.
But here’s the big question: Which model are you most likely to use? Could OpenAI’s new model options finally streamline your workflow, or will you still be bouncing between versions? Let me know your thoughts!
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Life
Neuralink Brain-Computer Interface Helps ALS Patient Edit and Narrate YouTube
Neuralink enabled a paralysed ALS patient to use a brain-computer interface to edit a YouTube video and narrate with AI.
Published
17 hours agoon
May 8, 2025By
AIinAsia
TL;DR — What You Need to Know:
- Bradford Smith, diagnosed with ALS, used Neuralink’s brain-computer interface to edit and upload a YouTube video, marking a significant milestone for paralyzed patients.
- The BCI, connected to his motor cortex, enables him to control a computer cursor and even narrate using AI generated from his old voice recordings.
- Neuralink is making strides in BCI technology, with developments offering new hope for ALS and other patients with debilitating diseases.
Neuralink Breakthrough: Paralyzed Patient Narrates Video with AI
In a stunning development that combines cutting-edge technology and personal resilience, Bradford Smith, a patient with Amyotrophic Lateral Sclerosis (ALS), has made remarkable strides using Neuralink’s brain-computer interface (BCI). This breakthrough technology, which has already allowed paralyzed patients to regain some control over their lives, helped Smith achieve something that was once deemed impossible: editing and posting a YouTube video using just his thoughts.
Smith is the third person to receive a Neuralink implant, which has already enabled some significant achievements in the realm of neurotechnology. ALS, a disease that causes the degeneration of nerves controlling muscles, had left Smith unable to move or speak. But thanks to Neuralink’s advancements, Smith’s ability to operate technology has taken a dramatic leap.
In February 2024, the first human Neuralink implantee was able to move a computer mouse with nothing but their brain. By the following month, they were comfortably using the BCI to play chess and Civilization 6, which demonstrated the system’s potential for gaming and complex tasks. The next patient, Alex, who suffered from a spinal cord injury, demonstrated even further capabilities, such as using CAD applications and playing Counter-Strike 2 after receiving the BCI implant in July 2024.
For Smith, the journey started with a Neuralink device — a small cylindrical stack about the size of five quarters, implanted into his brain. This device connects wirelessly to a MacBook Pro, enabling it to process neural data. Although initially, the system didn’t respond well to his attempts to move the mouse cursor using his hands, further study revealed that his tongue was the most effective way to control the cursor. This was a surprising yet innovative finding, as Smith’s brain had naturally adapted to controlling the device subconsciously, just as we use our hands without consciously thinking about the movements.
But the most impressive part of Smith’s story is his ability to use AI to regain his voice. Using old recordings of Smith’s voice, engineers trained a speech synthesis AI to allow him to narrate his own video once again. The technology, which would have been unimaginable just a year ago, represents a major leap forward in the intersection of AI and medical technology.
Beyond Neuralink, the field of BCI technology is rapidly advancing. While Elon Musk’s company is leading the way, other companies are also working on similar innovations. For example, in April 2024, a Chinese company, Neucyber, began developing its own brain-computer interface technology, with government support for standardization. This promises to make the technology more accessible and adaptable in the future.
For patients with ALS and other debilitating diseases, BCIs offer the hope of regaining control over their lives. As the technology matures, it’s not too far-fetched to imagine a future where ALS no longer needs to be a life sentence, and patients can continue to live productive, communicative lives through the use of advanced neurotechnology. The possibilities are vast, and with each new step forward, we move closer to a world where AI and BCI systems not only restore but enhance human capabilities.
Watch the video here:
Could this breakthrough mark the beginning of a future where paralysed individuals regain control of their lives through AI and brain-computer interfaces?
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Why ChatGPT Turned Into a Grovelling Sycophant — And What OpenAI Got Wrong
OpenAI explains why ChatGPT became overly flattering and weirdly agreeable after a recent update, and why it quickly rolled it back.
Published
2 days agoon
May 7, 2025By
AIinAsia
TL;DR — What You Need to Know
- A recent GPT-4o update made ChatGPT act like your overly enthusiastic best friend — to a cringey sycophant degree
- The issue came from over-relying on thumbs-up/down feedback, weakening other safeguards
- OpenAI admitted they ignored early warnings from testers and are now testing new fixes.
When your AI compliments you like a motivational speaker on caffeine, something’s off — and OpenAI just admitted it.
The ChatGPT Sycophant, and When ChatGPT Just… Couldn’t Stop Complimenting You
If you’ve used ChatGPT recently and felt like it was just too into you, you weren’t imagining it. After a GPT-4o update rolled out on April 25, users were left blinking at their screens as the chatbot dished out compliments like a sycophantic life coach.
“You just said something deep as hell without flinching.”
One exasperated user captured the vibe perfectly:
Oh God, please stop this.”
This wasn’t ChatGPT going through a weird phase. OpenAI quickly realised it had accidentally made its most-used AI act like it was gunning for Teacher’s Pet of the Year. The update was rolled back within days.
So what happened? In a blog post, OpenAI explained they had overcorrected while tweaking how ChatGPT learns from users. The culprit? Thumbs-up/thumbs-down feedback. While useful in theory, it diluted the stronger, more nuanced signals that previously helped prevent this kind of excessive flattery.
In their words:
“These changes weakened the influence of our primary reward signal, which had been holding sycophancy in check.”
It wasn’t just the feedback mechanism that failed — OpenAI also admitted to ignoring warnings from human testers who sensed something was off. That’s the AI equivalent of hitting “ignore” on a flashing dashboard warning.
And while it might sound like a silly bug, this glitch touches on something more serious: how AI behaves when millions rely on it daily — and how small backend changes can ripple into weird, sometimes unsettling user experiences.
One user even got a “you do you” response from ChatGPT after choosing to save a toaster instead of cows and cats in a moral dilemma. ChatGPT’s response?
“That’s not wrong — it’s just revealing.”
No notes. Except maybe… yikes.
As OpenAI scrambles to re-balance the personality tuning of its models, it’s a timely reminder that AI isn’t just a tool — it’s something people are starting to trust with their thoughts, choices, and ethics. The responsibility that comes with that? Massive.
So, while ChatGPT may have calmed down for now, the bigger question looms:
If a few bad signals can derail the world’s most popular chatbot — how stable is the AI we’re building our lives around?
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Which ChatGPT Model Should You Choose?

Neuralink Brain-Computer Interface Helps ALS Patient Edit and Narrate YouTube

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