The limits of the lone brain
Neuro-symbolic AI: Logic meets intuition
Mixture of Agents: The ultimate group chat
The full toolbox: RAG, physics, and play
007skaty Massive training datasets make language models highly creative, but relying on statistical patterns instead of logic makes counting letters difficult.
Why do large language models sometimes struggle to count the number of times a specific letter appears in a word?
What is the term used when a generative AI model confidently invents false information that sounds plausible?
Why are deep neural networks often referred to as black boxes by computer scientists?
AI counting: Even advanced AI models struggle to count the letters in a word because they read text in chunks called tokens rather than individual characters.
007skaty Combine different AI minds to discover how diverse systems work together as one.
According to psychologist Daniel Kahneman, which system of human thought is fast, automatic, and intuitive?
Which cognitive task is a classic example of slow, deliberate System 2 thinking in humans?
Which limitation of large language models persists even as models are scaled to massive sizes?