Insights into the use of Generative AI systems Generative AI models, such as large language models (LLMs), have demonstrated remarkable capabilities in mimicking human-like communication. We here ...

Learning to see How do humans learn to make sense of the world? How do we learn what is us and what is others? How do we learn about moving in space, manipulating objects, physics, imitating other...

Robotics and AI in 2024 and beyond — part 2 designed with AI by Dall-E2 How do we get robots to be useful in our everyday life? The robots we can afford today have severe limitations in underst...

Robotics and AI in 2024 and beyond — part 1 a robot generated by a robot (DALL-E2) Robots, such as the one populating sci-fi movies, are not yet part of our lives. We do not have robots that ca...

designed by Dall-E-2 Artificial scientists and autonomous laboratories What is next for ChatGPT? One of the goal of machine learning is to reach the levels of artificial intelligence. AI, the ...

Should we worry about AI (machine-learning)? I have to start this discussion with a note. AI = artificial intelligence. What that really means is not well defined. In my mind… Artificial intell...

A picture is worth a 1000 words Evolution of large language models into artificial brains through multiple sensory modalities As surprising as it is our very human predictive abilities hide a p...

How can we make Transformers, Large Language models, GPT, more sharable? How can we make them grow? language models and transformers in https://huggingface.co/spaces/stabilityai/stable-diffusio...

Drop your dataset — part 2 In the previous post I have given some ideas on how we can overcome the limitation of current neural network training without using supervised datasets. I want to go i...

Why we fill our day by filling forms? I do not know about you, but one of the worst way to spend time for me is filling forms. Yet it almost looks like we humans have evolved to hurt ourselves...