AI coding is now everywhere. But not everyone is convinced. Depending who you ask, AI-powered coding is either giving software developers an unprecedented productivity boost or churning out masses of poorly designed code that saps their attention and sets software projects up for serious long term-maintenance problems. The problem is right now, it's not easy to know which is true. As tech giants pour billions into large language models (LLMs), coding has been touted as the technology's killer app. Executives enamored with the potential are pushing engineers to lean into an AI-powered future.

This paper presents three established theories of human decision-making and describes how they can be integrated to provide a model of purposive human action. Taking seriously the idea of language as action the model is then applied to the conversational user interfaces. Theory based AI research has had a hard time recently and the aim here is to revitalise interest in understanding what LLMs are actually doing other than running poorly understood machine learning routines over all the data the relevant Big Tech company can hoover up. When a raspberry pi computer for under 50USD is up to 400 times faster than the first commercial Cray super computer~\cite{crayVpi}, Big Tech can get really close to having an infinite number of monkeys typing at random and producing text, some of which will make sense. By understanding where ChatGPT's apparent intelligence comes from, perhaps we can perform the magic with fewer resources and at the same time gain some understanding about our relationship with our world.

Decoding language and facial expressions from brain signals using artificial intelligence means that scientists could soon "read minds," a neurosurgeon said. Providing vision to the blind and hearing to the deaf could become possible with a breakthrough, AI-powered surgical procedure that could even make "mind reading" a reality, a California neuroscientist told Fox News. Ann Johnson, a Canadian teacher who lost her ability to talk after a stroke left her paralyzed in 2005, was able to speak through a cloned version of her voice after undergoing a surgery that connected her brain to artificial intelligence. The procedure involved fixing over 250 electrodes to Johnson's brain and connecting those to an array of computers through a port on the back of her head. Those, in turn, translated her brain activity into English using an AI-generated avatar that spoke on her behalf. The surgery Johnson underwent is non-invasive and not very difficult to replicate, Chang said.

A mind-reading chip that let you control a computer by just thinking has been unveiled at a conference in China. Dubbed Brain Talker, works by picking out small electrical pulses in the brain and quickly decoding them into signals that a computer can interpret. The chip could be used to control computers, smartphones and other devices, its creators say. It also has potential medical, education, security and entertainment applications, they add. However, the information released so far on the chip and exactly how it operates is limited.

For the first time, artificial intelligence can not only analyze human brain waves, but also make them audible again. Researchers read out words and numbers to participants and measured the activity with a brain implant in the hearing centre. This data was then sent to an AI, which compared it with the original spoken words. In this way it learns to evaluate the brain waves and reconstruct the words itself - it can actually read thoughts. Park was initially sceptical: "In the past, there were often systems that analyzed brain waves and functioned according to the principle: Remember to lift your left arm, and the brainwaves registered this way can then remotely control a wheelchair, for example. And this was then sold as mind reading. But what happened here goes one step further. You can actually reconstruct spoken language from brain waves."

HOWEVER much technology knows about you – and you would be surprised how much it does (see "I exposed how firms and politicians can manipulate us online") – there is one firewall that it can't penetrate: your skull. Unless you choose to share your thoughts, they remain private. Increasingly, a combination of brain scanning and artificial intelligence is opening the black box, gathering signals from deep inside the mind and reverse-engineering them to recreate thoughts. For now, the technology is limited to vision – working out what somebody is looking at from their brain activity (see "Mind-reading AI uses brain scans to guess what you're looking at") – but in principle there appears no reason why the entire contents of our minds couldn't be revealed. This line of research inevitably raises fears about the ultimate invasion of privacy: mind reading.

Neural network gives us a better understanding of the inner workings of the brain. From medical applications like helping dermatologists diagnose skin cancer to teaching robots to get a better grip on the world around them, deep learning neural networks can carry out some pretty impressive tasks. Could mind reading be among them? The folks at Carnegie Mellon University certainly think so -- and they've got the research to back up their theories. What CMU scientists have been working on is a system that can apparently read complex thoughts based on brain scans, possibly even interpreting complete sentences.

Researchers at Carnegie Mellon University have developed brain imaging technology that can identify complex thoughts, such as'The witness shouted during the trial.' The'mind reading' technology shows that complex thoughts are formed by the brain's various sub-systems, and are not word-based. The study offers new evidence that the brain dimensions of concept representation are universal across people and languages. Predicted (top) and observed (bottom) fMRI brain activation patterns for the sentence'The witness shouted during the trial.' The study, led by Carnegie Mellon University Professor of Psychology Dr Marcel Just, revealed that to process sentences such as'The witness shouted during the trial,' the brain uses an alphabet of 42 'meaning components' or'semantic features' consisting of features such as person, setting size, social interaction and physical action.

Do you have a racial bias? Is your moral compass intact? To find out what you think or feel, we usually have to take your word for it. But questionnaires and other explicit measures to reveal what's on your mind are imperfect: you may choose to hide your true beliefs or you may not even be aware of them. But now there is a technology that enables us to'read the mind' with growing accuracy: functional magnetic resonance imaging (fMRI). Mind-reading algorithms that use machine learning to reconstruct brain activity could reveal our innermost thoughts and could turns our society into a'Big Brother' world Experts from the University of Cambridge explore the uses of mind-reading algorithms and find the technology will be successful as a lie detector - which is already being tested.

Scientists have discovered a way to reconstruct the images in a person's mind. In a new study, researchers concluded that it's possible to visualize a person's memory using only an fMRI machine and some machine learning software. For the study, published in the Journal of Neuroscience, the researchers showed 23 participants hundreds of faces while hooked up to an fMRI machine. While they were looking at the faces, an AI program was learning to associate their perception of certain features with different brain activity. Then, once the machine has learned which activity corresponds to which feature, the participants are shown a picture of a brand-new face, and the machine reconstructs it.