Open post women

Women are less interested in AI than men, but using it would help them advance at work

Women use generative artificial intelligence tools less than men do. The World Economic Forum recently published an article on the subject. It reported that 59 per cent of male workers aged between 18 and 65 use generative artificial intelligence at least once a week, compared with 51 per cent of women. Among young people aged...

Open post Language

AIs encode language like brains do − opening a window on human conversations

Language enables people to transmit thoughts to each other because each person’s brain responds similarly to the meaning of words. In our newly published research, my colleagues and I developed a framework to model the brain activity of speakers as they engaged in face-to-face conversations. We recorded the electrical activity of two people’s brains as...

Open post coding

Coding in the age of AI

Artificial Intelligence (AI) has been making subtle yet significant inroads into the daily workflows of tech professionals. Despite the lack of mainstream media coverage, these transformative tools are reshaping how work is done, often with profound benefits to individual workers rather than firms. Here, we explore two illustrative accounts from Nicholas Carlini and Erik Schluntz,...

Open post quantization

What is quantization of LLMs?

Quantization, a compression technique, has long been utilized in various fields to map high precision values to lower precision ones, thus making data more manageable and less memory-intensive[1][2]. The advent of Large Language Models (LLMs) has necessitated the adoption of such techniques due to the exponential increase in model parameters and the associated computational demands....

Open post AI model collapse

What is AI model collapse?

AI model collapse is a phenomenon in artificial intelligence (AI) where trained models, especially those relying on synthetic data or AI-generated data, degrade over time. This degradation is characterized by increasingly limited output diversity, a tendency to stick to “safe” responses, and a reduced ability to generate creative or original content[1]. The phenomenon has significant...

Open post hallucinations

‘Intersectional hallucinations’: why AI struggles to understand that a six-year-old can’t be a doctor or claim a pension

When you go to the hospital and get a blood test, the results are put in a dataset and compared with other patients’ results and population data. This lets doctors compare you (your blood, age, sex, health history, scans, etc) to other patients’ results and histories, allowing them to predict, manage and develop new treatments....

Open post smaller

The Trend Towards Smaller Language Models in AI

The landscape of artificial intelligence (AI) is undergoing a notable transformation, shifting from the pursuit of ever-larger language models (LLMs) to the development of smaller, more efficient models. This shift, driven by technological advancements and practical considerations, is redefining how AI systems are built, deployed, and utilized across various sectors. The Shift in AI Model...

Open post tokens

Understanding Tokens in AI

In the realm of Artificial Intelligence (AI), particularly in the context of Large Language Models (LLMs), tokens are the fundamental units of language that enable machines to comprehend and generate human-like text. This article delves into the world of tokens, exploring their definition, history, types, and significance in the AI landscape. What are Tokens? In...

Open post malicious

FraudGPT and other malicious AIs are the new frontier of online threats. What can we do?

The internet, a vast and indispensable resource for modern society, has a darker side where malicious activities thrive. From identity theft to sophisticated malware attacks, cyber criminals keep coming up with new scam methods. Widely available generative artificial intelligence (AI) tools have now added a new layer of complexity to the cyber security landscape. Staying...

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