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 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 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...

Open post synthetic data

Training AI requires more data than we have — generating synthetic data could help solve this challenge

The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, a phenomenon where AI models trained on largely AI-generated content tend to degrade over time. This degradation occurs as AI models lose information about their true...

Open post notebook

What are Jupyter Notebooks?

Welcome to the exciting world of Jupyter Notebooks! Whether you’re a seasoned data scientist or a curious beginner, Jupyter Notebooks offer a versatile, interactive environment for developing and sharing code. In this post, we’ll explore what makes Jupyter Notebooks a powerful tool for data analysis, machine learning, and beyond, along with practical examples to get...

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