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What It’s Like Using a Brain Implant With ChatGPT

The potential of chat gpt and neural link is limitless. Really chat gpt with agi would automate even an entire world and even do all work by itself basically taking the forever mental labor of work forever scenario away from humans so we can sit and drink tea or other leisure activities. Then if we miniaturize even chat gpt, neural link, and agi all in one whether it is in the neural link or even on a smartphone it could allow for near infinite money 💵 with little to no effort which takes away mental labor forever because we could solve anything or do all jobs with no need for even training it would be like an everything calculator for an eternity of work so no humans need suffer the dole of forever mental labor which can evolve earths civilization into complete abundance.


We spoke to two people pioneering ChatGPT’s integration with Synchron’s brain-computer-interface to learn what it’s like to use and where this technology is headed.

Read more on CNET: How This Brain Implant Is Using ChatGPT https://bit.ly/3y5lFkD

0:00 Intro.
0:25 Meet Trial Participant Mark.
0:48 What Synchron’s BCI is for.
1:25 What it’s like to use.
1:51 Why work with ChatGPT?
3:05 How Synchron’s BCI works.
3:46 Synchron’s next steps.
4:27 Final Thoughts.

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Wood-based material can improve safety and lifespan of lithium-ion batteries

For consumers worried about the risks associated with using lithium-ion batteries—which are used in everything from phones to laptops to electric vehicles—Michigan State University has discovered that a natural material found in wood can improve battery safety while also improving the battery’s life.

Chengcheng Fang, assistant professor in the College of Engineering, and Mojgan Nejad, an associate professor in the College of Agriculture and Natural Resources, collaborated to engineer , a natural ingredient of wood that provides support and rigidity, into a thin film separator that can be used inside to prevent short circuits that can cause a fire.

“We wanted to build a better battery,” said Fang. “But we also wanted it to be safe, efficient and sustainable.”

Mathematical approach makes uncertainty in AI quantifiable

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input domain. In other words: It is now possible to mathematically guarantee that certain types of errors will not occur—a crucial step forward for the safe use of AI in sensitive applications.

From smartphones to self-driving cars, AI systems have become an everyday part of our lives. But in applications where safety is critical, one central question arises: Can we guarantee that an AI system won’t make serious mistakes—even when its input varies slightly?

A team from TU Wien—Dr. Andrey Kofnov, Dr. Daniel Kapla, Prof. Efstathia Bura and Prof. Ezio Bartocci—bringing together experts from mathematics, statistics and computer science, has now found a way to analyze neural networks, the brains of AI systems, in such a way that the possible range of outputs can be exactly determined for a given input range—and specific errors can be ruled out with certainty.

Fast targeted gene transfection and optogenetic modification of single neurons using femtosecond laser irradiation

Year 2013 face_with_colon_three Basically this is the light based nanotransfection version that can eventually be put on a simple smartphone or smartwatch that can be an entire hospital in one touch healing the entire body in one touch or just areas that need healing.


Antkowiak, M., Torres-Mapa, M., Witts, E. et al. Sci Rep 3, 3,281 (2013). https://doi.org/10.1038/srep03281

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Hide and seek: Uncovering new ways to detect vault apps on smartphones

Researchers have discovered a modern solution to detect vault applications (apps) on smartphones, which could be a game-changer for law enforcement. The paper is published in the journal Future Internet.

The analysis, led by researchers from Edith Cowan University (ECU) and University of Southern Queensland, demonstrates that machine learning (ML) can be used to effectively identify apps.

Smartphones are an integral part of daily life, used by an estimated 5 billion people around the world.

Malware on Google Play, Apple App Store stole your photos—and crypto

A new mobile crypto-stealing malware called SparkKitty was found in apps on Google Play and the Apple App Store, targeting Android and iOS devices.

The malware is a possible evolution of SparkCat, which Kaspersky discovered in January. SparkCat used optical character recognition (OCR) to steal cryptocurrency wallet recovery phrases from images saved on infected devices.

When installing crypto wallets, the installation process tells users to write down the wallet’s recovery phrase and store it in a secure, offline location.

Profiles in Versatility

During her uncle’s treatment in 2003, Green experienced what she refers to as a “divine download”—an electrifying idea inspired by her college internships at NASA’s Marshall Space Flight Center and the Institute of Optics. “If a satellite in outer space can tell if a dime on the ground is face up or face down, and if a cell phone can target just one cell phone on the other side of the planet,” she recalls thinking, “surely we should be able to harness the technology of lasers to treat cancer just at the site of the tumor, so we won’t have all of these side effects.”

In the nearly two decades that followed, Dr. Green rerouted her career, earned a physics PhD from the University of Alabama at Birmingham—the second Black woman to do so—and dove into cancer treatment research, with physics as her guide. In 2009, she developed a treatment that uses nanoparticles and lasers in tandem: Specially designed nanoparticles are injected into a solid tumor, and, when the tumor is hit with near infrared light, the nanoparticles heat up, killing the cancer cells. In a preliminary animal study published in 2014, Green tested the treatment on mice, whose tumors were eliminated with no observable side effects.


When Hadiyah-Nicole Green crossed the stage at her college graduation, she felt sure about what would come next. She’d start a career in optics—a good option for someone with a bachelor’s degree in physics—and that would be that.

Life, though, had other plans. The day after she graduated from Alabama A&M University, she learned that her aunt, Ora Lee Smith, had cancer. Smith and her husband had raised Green since she was four years old, after the death of Green’s mother and then grandparents.

Her aunt “said she’d rather die than experience the side effects of chemo or radiation,” says Green, now a medical physicist and founder and CEO of the Ora Lee Smith Cancer Research Foundation.