top of page
  • Writer's pictureAlexandru Voica

system thinking.

Today marks the one year anniversary since the launch of ChatGPT. While the underlying large language models powering chatbots like ChatGPT, Claude or Pi demonstrate impressive linguistic abilities, they lack the reasoning and common sense that comes from a deeper understanding of the world.


These models are trained on vast amounts of text data, allowing them to recognize patterns and generate human-like text. However, they have no inherent concept of objects, causality, or the typical relationships between things in the world. As a result, their responses may sometimes defy logic or physical realities.


Researchers at OpenAI, Meta, Google and other AI labs are working on a solution: integrating a "world model" that equips the language model with knowledge about how the world works. Think of adding a world model to a large language model as making the large language model go to primary school - it can simulate and emulate the world around it based on scientific principles and observational data.


By linking this model of the world with the pattern recognition power of a language model, an AI system could gain more contextual, causal, and factual grounding for its linguistic outputs. It could provide more logical, consistent responses while retaining its ability to handle open-ended topics and tasks. There are still massive challenges in developing such an integrated system, but this presents a promising path toward less brittle, more broadly intelligent AI.



4 views0 comments

Recent Posts

See All

"internet balkanization."

Over the last five years, the term “internet balkanization” has become common in discussions about the fragmentation of the global, open internet based on nations and regions enforcing their own rules

hugging face.

If you care about AI and open source (and have 90 seconds to spare), here's why Hugging Face is on track to become the GitHub of the AI community! Founded in 2016 by French entrepreneurs Clement Delan

a calculated risk.

Open sourcing AI models can be the way forward to accelerate innovation and democratize access to artificial intelligence. However, we need to make the distinction between today's large language model

Comments


bottom of page